That鈥檚 why, in Q4 2025, we significantly enhanced the way customers work with AI through new models, sovereign cloud offerings, and partnerships, alongside numerous product updates. Let鈥檚 dive straight in.

麻豆原创-RPT-1 is a novel AI model that is optimized explicitly for predictions on tabular data. While LLMs predict the next word in a text sequence, 麻豆原创-RPT-1 forecasts the next field in a table row; it can interpret relational business data and handle virtually any predictive task. Additionally, as our single, universal AI engine, 麻豆原创-RPT-1 enables customers to simplify their approach to working with AI by eliminating the need for a myriad of narrow AI specialist models, each requiring arduous training, maintenance, and investments. 麻豆原创-RPT-1 also requires 50,000 times less energy, 100,000 fewer GPU FLOPs, and offers up to 3.5 times better predictions and 50 times more speed than state-of-the-art LLMs. Announced at 麻豆原创 TechEd and now available in our generative AI hub, customers can leverage the .

EU AI Cloud is our new full-stack sovereign cloud offering that supports EU data residency and full sovereignty. It makes meeting regulatory and operational requirements easier by giving customers complete control over their infrastructure, platform, and software. Customers can deploy it on 麻豆原创鈥檚 own data centers, on trusted European infrastructure, or as a fully managed solution on-site. Now, European enterprises and public sector organizations can benefit from the latest AI innovations securely, in full compliance with European standards and with the sovereignty and flexibility they need.

We also took steps to simplify our customers鈥� data landscape and preserve the business context of all data. 麻豆原创 Snowflake combines and (麻豆原创 BDC). This partnership enables zero-copy data sharing across Snowflake and 麻豆原创 BDC Connect. Customers using Snowflake can integrate their existing instances with 麻豆原创 BDC for seamless, real-time access to combined, semantically rich 麻豆原创 and non-麻豆原创 data in 麻豆原创 BDC. 麻豆原创 Snowflake will be made generally available in Q1 2026, and 麻豆原创 BDC Connect for Snowflake will be available later in H1 2026.

Furthermore, 麻豆原创鈥檚 generative AI hub includes the latest frontier models from Mistral, OpenAI, Gemini, and Anthropic, allowing customers to implement the model that best suits their specific use cases. The 350 AI features, including Joule Agents, along with the over 2,400 Joule skills, are already delivering unparalleled value to customers鈥攂uilt on AI Foundation in  (麻豆原创 BTP).

Here are some of the highlights from Q4 2025:

• Joule was more integrated than ever in Q4. The bidirectional integration with Microsoft 365 Copilot offers a unified user experience, allowing users to access insights directly within their workflows. Joule for Consultants has enhanced citation visibility, while Joule deep research capability provides users with synthesized explanations for complex inquiries that draw on both internal and external data鈥攕tructured or unstructured鈥攗sing capabilities like Model Context Protocol, document grounding, and Perplexity. Joule analytics center offers customers granular insights into user adoption, and the Joule preview landscape provides a dedicated customer environment for testing and validating software updates before they are released to production. Explore all the new capabilities for Joule in the section below as well as within the specific products.
• 麻豆原创 Business AI for supply chain delivers unprecedented clarity. New analysis capabilities in 麻豆原创 Integrated Business Planning summarize complex optimization, inventory, and forecast results, translating intricate calculations into clear, natural language. The new Production Planning and Operations Agent automates prerequisite checks for releasing production orders by identifying material shortages and suggesting workarounds to prevent delays. There鈥檚 more to discover below.
• 麻豆原创 Business AI for human resources is transforming talent management and reducing administration. The Performance Preparation Agent automates data collection and generates talking points to ensure managers are fully prepared for more impactful one-on-one meetings. Employees can also boost internal mobility by identifying and surfacing hidden skills directly from their resumes. There is so much more to explore; dive into everything below.
• 麻豆原创 Business AI for finance is packed this quarter, with new agents automating more complex processes. The Accounting Accruals Agent helps expedite the period-end close. The International Trade Classification Agent ensures robust compliance for global shipping, and the Cash Management Agent provides unparalleled oversight of cash flow. Joule also now assists with master data governance, analyzes allocation run results, and simplifies risk management tasks. There is just the beginning in finance, so check out everything below.
• With 麻豆原创 Business AI for IT and developers, customers can build, automate, and analyze more quickly and easily than ever. Joule Studio agent builder is in GA and enables users to create custom AI agents that automate complex, end-to-end business processes. To manage this growing landscape, the new AI agent hub in 麻豆原创 LeanIX offers a central dashboard for governing agents. 麻豆原创 is also introducing its own foundational models: 麻豆原创-RPT-1, a new model for structured business data, and 麻豆原创-ABAP-1 to efficiently understand ABAP code. See more below.
• The latest 麻豆原创 Business AI innovations for spend management, procurement, and customer experience are simplifying complex processes and making them more personalized. In spend management, the new Booking Agent simplifies trip planning with tailored recommendations, while the Receipt Analysis Agent ensures accurate expense reports. Procurement customers can use natural language to route demands in 麻豆原创 Ariba and automate the creation of statements of work in 麻豆原创 Fieldglass. In customer experience, marketers can now instantly build reports in 麻豆原创 Emarsys using simple prompts, and service agents receive AI-generated summaries to resolve billing inquiries more efficiently.

Joule

Joule with Microsoft 365 Copilot
General availability

Bidirectional integration between Joule and Microsoft 365 Copilot has been completed. This integration helps deliver a unified user experience across enterprise systems. Users can now access Joule capabilities directly from within Microsoft 365 Copilot, bringing Microsoft-powered insights into the generative AI environment in Joule.

This tight interoperability will help strengthen how organizations work, collaborate, and make decisions within their 麻豆原创 and Microsoft landscapes.

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Joule Analytics Center
General availability

麻豆原创 customers, including IT administrators and development teams, can now utilize the Joule Analytics Center to gain granular, tenant-specific insights into user adoption and engagement. This interactive dashboard enables them to filter and visualize usage data by product, scenario, interaction type, and client, revealing precisely how end-users are leveraging Joule over time. By analyzing these trends and specific usage patterns, organizations can gain a clear understanding of the most impactful scenarios, identify opportunities for improvement, and make data-driven decisions to optimize the overall user experience.

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Joule Preview Landscape
General availability

麻豆原创 customers, including IT administrators and development teams, can also leverage the Joule Preview Landscape, a dedicated environment within 麻豆原创 BTP designed to provide greater visibility and control over software updates. Addressing the previous challenge of deploying new capabilities to all tenants simultaneously, this landscape introduces a crucial validation period. Customers can test and validate new Joule framework updates for two weeks and content updates for four weeks before they are released to production systems. This proactive approach allows teams to thoroughly assess the impact of changes, identify potential issues, and ensure a seamless transition, ultimately empowering them to adopt new features with confidence while avoiding disruptions to live business operations.

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麻豆原创 Joule for Consultants, product enhancements
General availability

麻豆原创 consultants can now benefit from enhanced features within 麻豆原创 Joule for Consultants, designed to improve trust and the quality of answers. The conversational solution offers greater transparency, with improved citation visibility that clearly displays all information sources, including public web searches. We have begun integrating more than 9 TB of 麻豆原创-exclusive, gated content, including the Implementation Guide (IMG), 麻豆原创 Simplification List, and the 麻豆原创 Enterprise Architecture Reference Library. The tool鈥檚 knowledge base is continually updated with the latest information from 麻豆原创 Learning, 麻豆原创 Help, and additional sources, including 麻豆原创 News, the AI Feature Catalogue, and other related public sources.

This provides consultants with a more trustworthy experience by showing exactly where information comes from, while the expanding knowledge base helps them deliver more complete, accurate, and context-rich answers to their queries, thanks to the increased input character count, which has expanded from 2000 to 10000.

We鈥檝e also enabled new functionality 鈥� Console, which provides access to the latest release notes, usage metrics (Admin-Only), an integrated Prompt Library, and system settings (Admin-Only) for both Standard and Administration-level users. Additionally, we have initiated limited pilot programs that enable the direct incorporation of customer-specific documents into 麻豆原创 Joule for Consultants, allowing for more personalized and tailored consulting experiences. These pilots are designed to test the integration of client proprietary information with the broader knowledge base, ensuring that consultants can access both general industry insights and customer-specific data within a single, secure platform.

With 麻豆原创 Joule for Consultants, consultants can save up to 1.5 hours per day through faster, more precise knowledge access, up to 50%* fewer design iterations and subsequent rework, and 14%* faster project execution (see this for details).

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Joule deep research capability
Beta release

麻豆原创 users across various functions can now unlock a profound understanding of their business challenges through Joule deep research capability. This advanced feature enables them to submit complex inquiries and receive not just data, but expertly synthesized explanations and contextual insights, intelligently drawing from both their internal 麻豆原创 data and comprehensive external web sources via Perplexity, all presented directly within their work environment.

This deep interpretive power significantly reduces the effort required for manual data reconciliation and analysis, fostering more confident decision-making and equipping users with a straightforward, actionable narrative for strategic initiatives.

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麻豆原创 Business AI for human resources

Performance Preparation Agent
General availability

The Performance Preparation Agent proactively prepares managers by automating data collection and generating personalized talking points, ensuring they arrive at every employee 1:1 with relevant insights and actionable next steps, such as scheduling follow-ups or requesting peer feedback.

This intelligent preparation significantly simplifies the performance review process, dramatically reducing manager administrative burden by up to 50%* in prep time and 80%* in follow-up efforts, ultimately fostering more impactful discussions that can lead to a 30%* reduction in voluntary turnover.

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麻豆原创 SuccessFactors solutions, AI-assisted skill identification from resume
General availability

Employees leveraging 麻豆原创 SuccessFactors solutions can now effortlessly surface their full capabilities, enriching their Growth Portfolio through an innovative AI-driven skill identification process. By simply uploading a resume, the system intelligently analyzes its content, identifies relevant skills against the universal taxonomy, and presents them for inclusion, revealing previously undocumented “hidden skills” to create a more comprehensive “Whole-Self” profile.

This not only reduces employee time spent on skills profile maintenance by up to 50%* but also significantly enhances internal talent mobility and succession planning, resulting in an up to 10%* increase in internal fill rates and substantial reductions in HR and manager effort for talent-related tasks.

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麻豆原创 SuccessFactors Succession and Development, AI-assisted successor recommendation
General availability

HR leaders and succession planners now gain an unparalleled advantage with this feature that intelligently recommends potential successors. By using generative AI to analyze a rich dataset encompassing skills, competencies, and work experience from Employee Central, Talent Intelligence Hub, and Job Profile Builder, this capability provides a meticulously curated list of candidates.

This not only slashes HR鈥檚 time spent on successor analysis and recommendations by up to 50%*, but critically, it also eliminates subjective biases and surfaces highly qualified nominees who might otherwise be overlooked, thereby reducing critical role vacancies by half and instilling greater confidence through explainable ranking results.

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麻豆原创 SuccessFactors solutions, 麻豆原创 Document AI, embedded edition
General availability

麻豆原创 Document AI is now generally available in 麻豆原创 SuccessFactors Onboarding to boost user efficiency and data precision. This intelligent solution seamlessly automates the critical step of extracting key data 鈥� such as ID type, number, and validity dates 鈥� directly from uploaded national ID documents, discreetly prompting new hires to validate the captured information before final submission.

The result is an up to 15%* acceleration in overall onboarding cycles and a significant 30%* improvement in validation accuracy, collectively delivering error-free data management and enhancing productivity across the entire talent acquisition process.

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Watch the full highlights of the 麻豆原创 SuccessFactors H2 2025 release:

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麻豆原创 Business AI for supply chain

Production Planning and Operations Agent
Beta release

Production planners can significantly accelerate order-to-delivery cycles with the Production Planning and Operations Agent. This agent automates crucial prerequisite checks for releasing production orders, covering material, capacity, and scheduling availability. It identifies material shortages and suggests workarounds, including alternative components or scheduling adjustments. Once all criteria are met, the human planner approves, and the agent releases the production order.

This capability reduces manual work, keeps production moving, and boosts throughput by cutting order processing delays, leading to up to 50%* higher productivity among production supervisors in locating release order information and a 2%* reduction in production downtime losses.

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麻豆原创 Integrated Business Planning, AI-assisted supply optimization analysis
General availability

Supply chain planners leveraging 麻豆原创 Integrated Business Planning gain unprecedented clarity into their complex optimization runs with a new feature for supply optimization analysis.

Powered by Joule, the explanation function helps planners understand issues that arise with optimizer runs by providing the reasons for unfulfilled requirements. Joule can provide explanations for the following types of unmet requirements: 鈥淒emand Not Fully Met,鈥� 鈥淢issed Inventory Targets,鈥� and 鈥淢issed Adjusted Values.鈥�

For instance, planners can ask Joule questions such as, 鈥淲hat is the status of the optimization run for planning area XYZ?鈥� 鈥淲hich products are affected by unfulfilled demand?鈥�, or 鈥淭ell me which locations have unfulfilled inventory targets.鈥�
As a result, planners achieve up to 25%* higher productivity in analyzing planning results, translating into quicker and more confident adjustments to the supply chain model and enhanced overall operational agility.

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麻豆原创 Integrated Business Planning, AI-assisted analysis of inventory optimization results
General availability

Inventory planners utilizing 麻豆原创 Integrated Business Planning are now empowered with profound clarity into their complex inventory optimization results through a new feature designed for detailed analysis of safety stock output. This advanced capability precisely summarizes the rationale behind recommended safety stock levels and any adjustments, translating intricate calculations into accessible human language by highlighting key influences such as demand variability, lead time fluctuations, and service levels, alongside any planner deviations.

This dramatically increases the speed of analysis and adoption of outputs, ensuring both inputs and outcomes align with strategic business goals for working capital management and customer service, ultimately leading to a reduction of up to 25%* in the time inventory planning FTEs spend deciphering optimizer run results.

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麻豆原创 Integration Business Planning, AI-assisted forecast results analysis
General availability

Supply chain planners managing 麻豆原创 Integrated Business Planning can now access advanced forecast results analysis, offering a generative AI summary of statistical forecast details directly within their planning UI. This capability clarifies complex information, such as the chosen algorithm鈥檚 rationale and time series considerations, while providing concrete recommendations for accuracy improvement.

This enhanced insight significantly improves planner visibility, usability, and efficiency, directly leading to an up to 25%* boost in productivity for analyzing forecasting runs and enabling more confident, strategically sound decisions across the supply chain.

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麻豆原创 Integrated Product Development, AI-assisted text generation
General availability

Product managers can utilize AI-assisted text generation capabilities within 麻豆原创 Integrated Product Development to enhance descriptions for new campaigns and ideas. The feature transforms simple text into more creative and compelling narratives, which users can then further enrich or simplify.

By improving the quality of these foundational descriptions, organizations can reduce campaign creation costs by up to 50% and drive a potential 1% increase in revenue from new products.

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Joule with 麻豆原创 Logistics Management
麻豆原创 Early Adopter Care release

Logistics clerks engaging with 麻豆原创 Logistics Management can now harness Joule to streamline their warehouse and transportation planning operations. Through natural language interactions, they can efficiently perform tasks such as querying and creating storage bins, managing freight tendering, and scheduling or inquiring about pickup and delivery documents.

This intuitive, conversational capability fundamentally improves decision-making and streamlines end-to-end logistics processes. It boosts the productivity of supply chain planners by delivering a reduction of up to 30%* in time spent on information search requests and a 20%* reduction in the effort required to navigate to relevant content.

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麻豆原创 Business AI for finance

Accounting Accruals Agent
Beta release

Finance teams can enhance precision and speed during period-end close using the Accounting Accruals Agent. This agent systematically processes accruals by analyzing historical financial data and relevant accounting policies, automatically generating journal entries ready for quick review and confirmation.

This capability not only boosts productivity by reducing the manual effort in calculations by up to 80%* and review/posting by up to 50%*, but it also ensures a timely month-end close, freeing staff for more strategic responsibilities.

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International Trade Classification Agent
Beta release

Global trade compliance teams and product classification specialists now gain a strategic advantage with the International Trade Classification Agent. This AI agent rigorously classifies goods for international shipping by intelligently applying product characteristics against trade regulations, recommending precise customs tariff numbers and commodity codes with transparent rationale for expedited review.

This capability ensures robust compliance, minimizes manual classification errors, and provides an audit-ready decision-making process, resulting in a reduction of up to 50%* in the effort required to manage international trade product classification.

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Cash Management Agent for 麻豆原创 S/4HANA Cloud Public Edition and 麻豆原创 S/4HANA Cloud Private Edition
Beta release

Cash managers across both 麻豆原创 S/4HANA Public Cloud and 麻豆原创 S/4HANA Private Cloud editions gain unparalleled oversight and optimized financial performance with the Cash Management Agent. This agent meticulously gathers opening balances and projected cash flows to forecast precise closing positions. It proactively identifies potential shortages or surpluses in alignment with treasury policies, and for 麻豆原创 S/4HANA Private Cloud Edition users, extends its capabilities to automate bank reconciliations with high accuracy.

The agent then generates and proposes efficient bank transfers and cash optimizations, enabling managers to fund operations effectively, capitalize on investment opportunities, and maximize interest yields. This integrated approach fundamentally streamlines data retrieval and decision-making, resulting in a substantial reduction of up to 70%* in overall cash management effort.

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Change Record Management Agent
Beta release

Product managers and design engineers can accelerate product development and manage engineering changes with greater precision using the Change Record Management Agent. The agent proactively identifies similar change records impacting the same product, suggesting the creation of new change record drafts and initiating the process with recommended next steps.

This capability not only eliminates delays caused by fragmented data and manual checks but also significantly enhances governance and traceability, resulting in an up to 20%* reduction in time to create change requests, a 1% *reduction in time to market new products, and a 2%* reduction in overall engineering change costs.

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麻豆原创 S/4HANA Cloud Private Edition, AI-assisted depreciation key explanation
General availability

Asset accountants operating within 麻豆原创 S/4HANA Cloud Private Edition now get enhanced clarity and efficiency in managing fixed assets. This specialized feature provides user-friendly, natural language explanations of depreciation keys and their underlying calculation procedures, making complex accounting concepts accessible to business users.

The result is increased productivity and satisfaction for accounting teams, enabling faster onboarding, more efficient period-end closing activities, and improved decision-making for future investment planning. Specifically, it reduces the effort required to specify depreciation keys during implementation by up to 75%* and to analyze and address fixed asset queries by up to 90%*.

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麻豆原创 S/4HANA Cloud Private Edition, Joule for Developers, ABAP AI capabilities
General availability

ABAP developers working within 麻豆原创 S/4HANA Cloud Private Edition find a specialized copilot in Joule that鈥檚 uniquely trained on 麻豆原创 data and processes. Joule accelerates development tasks by providing real-time explanations of ABAP objects, predicting and generating subsequent lines of code, and supporting full-stack ABAP Cloud scenarios directly within ABAP Development Tools for Eclipse.

This sophisticated assistance can significantly reduce the time and effort required for coding by up to 20%* and for testing by up to 25%*, ultimately boosting developer productivity, enhancing clean core implementations, and delivering a 6.6%* faster time to realized value.

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麻豆原创 Master Data Governance on 麻豆原创 S/4HANA Cloud Private Edition, AI-assisted central governance
General availability

Sales managers, procurement specialists, and other business users utilizing 麻豆原创 Master Data Governance on 麻豆原创 S/4HANA Cloud Private Edition can now streamline master data tasks with Joule. This capability enables them to interact with Master Data Governance functions using natural language processing, allowing for seamless search, display, submission of new business partners, modification of existing ones, and tracking of governance process status, without requiring extensive technical knowledge.

This approach significantly increases flexibility and ease of data entry, resulting in a reduction of up to 85%* in effort for managing master data and a decrease of up to 10%* in annual operating income loss due to delayed or incorrect updates.

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麻豆原创 S/4HANA Cloud Public Edition, AI-assisted allocation run results
General availability

Business analysts and cost accountants now gain immediate clarity into their financial data with a new Joule feature for allocation run results. This capability allows them to efficiently view amounts allocated across diverse objects, including cost centers, profitability objects, or profit centers, and quickly navigate to detailed run reports for in-depth review.

This streamlined access reduces the effort of synthesizing data from multiple sources, provides rapid insights into complex cost allocations, and enables swift assessment of potential impacts from organizational changes, resulting in an up to 70%* decrease in time spent on allocation result analysis and up to 40%* faster resolution of allocation issues.

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麻豆原创 S/4HANA Cloud Public Edition, AI-assisted hands-free production order management
General availability

Production supervisors working in 麻豆原创 S/4HANA Cloud Public Edition can now benefit from hands-free production order management. By leveraging natural language queries, supervisors can effortlessly retrieve order details and manage operations without physical interaction.

This advancement significantly enhances operational efficiency, facilitates rapid responsiveness to unplanned demands, and ensures more reliable production order processing, ultimately leading to an up to 50%* increase in supervisor productivity and a 2%* reduction in production downtime losses.

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Joule with 麻豆原创 Risk and Assurance Management
General availability

Compliance managers and risk specialists working with 麻豆原创 Risk and Assurance Management can significantly simplify tasks through Joule. This integration allows business users to intuitively navigate the system and access critical enablement content using natural language, enabling them to quickly find answers and perform work-related tasks without extensive prior knowledge.

This streamlined experience fosters greater user satisfaction and frees up valuable time for strategic activities, resulting in a reduction of up to 50%* in time spent on informational searches and a corresponding decrease of up to 50%* in time navigating and performing tasks within the system.

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麻豆原创 Business AI for spend management

Booking Agent
General availability

Business travelers enjoy a significantly streamlined and personalized booking experience through the Booking Agent. This Joule Agent proactively delivers tailored flight and hotel recommendations by analyzing individual traveler preferences, company travel policies, and budget constraints, all accessible via chat-based interaction.

This not only enhances user satisfaction and supports sustainable choices but also reduces the time spent booking a trip by up to 11.5%*, while simultaneously improving policy compliance and granting organizations superior oversight and control over travel expenditures.

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Receipt Analysis Agent
麻豆原创 Early Adopter Care release

Employees submitting business expenses now experience unprecedented accuracy and efficiency with ExpenseIt, powered by the Receipt Analysis Agent. This AI agent leverages a comprehensive suite of data, including maps, vendor databases, web searches, and Concur Travel itineraries, to itemize and categorize receipt data precisely.

By reasoning both the receipt content and external context, it creates highly accurate expense entries, dramatically reducing the time spent manually managing and editing them. This ensures ExpenseIt gets it right the first time, reducing the need for send-backs and resulting in a potential up to 19%* reduction in the time required to generate expense items.

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麻豆原创 Business AI for procurement

麻豆原创 Ariba Intake Management, AI-assisted demand intake
General availability

Employees creating procurement demands within 麻豆原创 Ariba Intake Management now experience a smarter, more efficient process with the Demand Intake feature. By simply using natural language to articulate their needs, employees can rely on the AI to intelligently assess their requests and route them to the most appropriate procurement or buying channel.

This innovative approach delivers up to 12%* productivity gain for casual users creating requisitions, while significantly reducing the risk of maverick spending with a 5%* improvement in non-compliant spend, and further streamlining operations with a 10%* reduction in purchase order processing time.

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麻豆原创 Fieldglass Services Procurement, AI-assisted SOW deliverables creation
General availability

Procurement professionals and buyers using 麻豆原创 Fieldglass can now streamline the creation of comprehensive statements of work (SOWs). This feature analyzes project scope and existing data to automate critical SOW components, automatically drafting structured event hierarchies, and generating precise, relevant deliverables.

By automating these time-consuming tasks, this integrated approach reduces manual effort, improves data consistency, and ensures deliverables are closely aligned with project goals, enabling businesses to achieve up to a 70%* reduction in manual creation time and an up to 50%* reduction in poor outcomes tied to inadequate SOWs.

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麻豆原创 Business AI for customer experience

麻豆原创 Emarsys Customer Engagement, AI-assisted report builder
General availability

Marketers have a powerful new way to create individualized reports with the AI-assisted report builder in 麻豆原创 Emarsys Customer Engagement. Using simple user prompts, they can query underlying datasets to instantly generate custom reports and visualizations, eliminating the need for specialized BI skills or technical support. This streamlined approach to flexible reporting enables marketing teams to reduce the time spent on campaign performance analysis by up to 67%*, allowing them to iterate quickly and communicate results more effectively throughout the organization.

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麻豆原创 Service Cloud Version 2, AI-assisted premise billed consumption summary
General availability

Customer service agents using 麻豆原创 Service Cloud Version 2 can more effectively resolve customer billing inquiries with the AI-assisted premise billed consumption summary. This feature automatically analyzes the latest 12 billing cycles, correlates consumption data with temperature trends, and generates a concise, human-readable summary.

By providing agents with immediate, actionable insights that eliminate the need for manual analysis, it helps increase the speed of issue resolution and reduces the average time to summarize business objects by up to 90%*.

麻豆原创 Business AI for IT and developers

Joule studio, agent builder
General availability

Business and IT professionals can now use Joule Studio鈥檚 agent builder to create powerful AI agents capable of automating highly complex business processes. This tool allows them to build agents that can plan, reason, and dynamically orchestrate multi-step workflows across both 麻豆原创 and non-麻豆原创 systems, effectively tackling ambiguity where standard automation falls short.

With Joule Studio agent builder, organizations have the potential to reduce the time spent on frequent business tasks by up to 40%* and cut the time needed to build and deploy custom agents by up to 35%*, significantly improving decision-making speed and operational efficiency.

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Generative AI Hub in AI Foundation, enhancements
General availability

麻豆原创-RPT-1, 麻豆原创鈥檚 first enterprise relational foundation model

麻豆原创 introduced its first enterprise relational foundation model, 麻豆原创-RPT-1, accompanied by a no-code testing playground environment.

Unlike large language models (LLMs), 麻豆原创-RPT-1 is a foundation model that establishes a new category of AI models specifically designed for relational and structured business data. 麻豆原创-RPT-1 comes pretrained, significantly reducing the need for customers to handle time-consuming and costly model training tasks that are typically required with narrow AI models. It delivers reliable, fact-based predictions by grounding responses in verified enterprise data, providing the accuracy and dependability that critical business operations require.

麻豆原创-RPT-1 addresses analytical and predictive tasks through in-context learning, enabling users to perform classification and regression on tabular data by providing example records directly within the API call. The model can be consumed as a ready-to-use endpoint and integrated into applications and business processes. The initial release supports common predictive scenarios, including binary and multiclass classification, as well as numerical regression.

麻豆原创 also offers an interactive, web-based testing environment, 麻豆原创-RPT playground, where customers can experience the in-context learning capabilities at no cost, utilizing their own data or 麻豆原创-provided example datasets, without any coding.

麻豆原创-RPT-1 is available on the generative AI hub in AI Foundation for productive use. It comes in two flavors: 麻豆原创-RPT-1-small for ultra-fast predictions and high throughput, and 麻豆原创-RPT-1-large for maximum accuracy.

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麻豆原创-ABAP-1 foundation model

To empower customers and partners to build custom, AI-driven developer productivity use cases, the 麻豆原创-ABAP-1 foundation model is now available on the generative AI hub. Trained on more than 250 million lines of ABAP code, 30 million lines of CDS code, and extensive technical documentation, 麻豆原创-ABAP-1 is purpose-built to efficiently understand, explain, and give immediate access to ABAP code knowledge, best practices, and latest innovations.

Customers can try the new model for free as part of the generative AI hub trial. Additional capabilities will be released in 2026.

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Prompt Optimizer

Developed in close collaboration with Not Diamond, the prompt optimizer helps automate and accelerate the creation of effective AI prompts across leading models. This frees users to adapt their prompts to any model for their use cases without the manual effort of rewriting prompts.

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Orchestration registry

Developers can now manage the lifecycle of orchestration workflow configurations, including saving, versioning, and deleting orchestration configurations.

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New models available

New models are supported, including Perplexity Sonar, Sonar Pro, Anthropic Claude 4.5 Sonnet, Anthropic Claude 4.5 Haiku, Cohere Command A Reasoning, and Gemini 2.5 Flash Lite.

For more information on new and deprecated models,

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麻豆原创 Document AI, enhancements
General availability

Vision-enabled information extraction

Schema administrators can now choose between . When enabled, documents are processed by a multimodal model that interprets visual elements, such as hazard pictograms, stamps, signatures, logos, charts, and labels, in conjunction with the text. This improves accuracy for visually rich documents, such as Safety Data Sheets (SDS) or Compliance Declarations. It improves data completeness and accuracy, reduces manual tagging and verification by automating the extraction of visual elements, and optimizes cost and performance with per-schema control.

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Processing of e-mail attachments

Users can now process e-mail attachments alongside or separately from the e-mail body, providing extensive flexibility and enhancing data extraction.

Get started with and .

Document workflows

Users can now quickly and easily define multistep workflows to process documents according to their specific needs. The new Workflows feature allows users to combine basic capabilities of 麻豆原创 Document AI to automate and streamline complex tasks.

Workflows can be triggered automatically via inbound channels, with no need for additional tools or integrations. Alternatively, users can upload a file and start the workflow manually. Workflows extend beyond extraction and classification, providing support for tasks such as e-mail processing, content-based routing, and automated processing.

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Built-in transport management

麻豆原创 Document AI provides an Integration with 麻豆原创 Cloud Transport Management, allowing users to leverage the Transports feature to export and import their schemas across their 麻豆原创 Document AI service instances 鈥� for example, development, quality, and production. It ensures that schemas and workflows are consistent across instances, facilitating better collaboration among teams and systems.

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麻豆原创 Cloud ALM, AI-assisted requirement generation
General availability

Consultants can now automatically generate high-quality business requirements directly from Fit-to-Standard workshop transcripts. By analyzing discussion content, this new feature in 麻豆原创 Cloud ALM populates a predefined template. It integrates 麻豆原创 Best Practices to suggest solution proposals, shifting the consultant鈥檚 focus from manual transcription to strategic review and refinement.

This automation reduces the time spent creating requirements by up to 50%* and the time needed for subsequent user story creation by up to 20%*, significantly accelerating project documentation.

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麻豆原创 Micro-App Hub, AI-assisted user learning, and change management
Early Adopter Care program

Learning specialists and content creators can now streamline their entire 麻豆原创 user-learning lifecycle, accelerate adoption, and reduce costs with 麻豆原创 Micro-App Hub. By connecting with 麻豆原创 Signavio and 麻豆原创 Cloud ALM, this feature analyzes project scope, identifies learning needs, and automatically generates tailored, business-aligned training content for every user role.

This not only produces up-to-date materials quickly for various authoring and learning tools but also dramatically cuts the time for initial learning needs assessment by up to 60%* and content development by up to 50%*, ensuring faster onboarding and higher accuracy by aligning learning with 麻豆原创 updates.

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麻豆原创 Business AI for industries

Utilities Customer Self-Service Agent
General availability

Utilities organizations can with the Utilities Customer Self-Service Agent. This AI agent provides fast, personalized answers in multiple languages. It provides a deep understanding of customer context, including contracts, tariffs, and consumption data, through its integration with 麻豆原创 S/4HANA Cloud Private Edition.

Designed to address industry shifts such as deregulation and prosumer growth, it efficiently handles complex customer interactions, resulting in a reduction of up to 90%* in the average cost of AI-handled contacts and a decrease of up to 60%* in overall customer service operational costs.

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Tender Analysis Agent
General availability

Sales and bid management teams can optimize their response process with the Tender Analysis Agent. This agent automates the evaluation of complex tender and RFQ documents by extracting critical product requirements, flagging potential risks or policy gaps, and suggesting optimized configurations based on predefined company standards.

This automation reduces manual effort and accelerates sales cycles, helping businesses achieve up to a 1%* improvement in operating margin from personalized products, a 0.5%* increase in cross-sell/up-sell revenue, and a 5% reduction in sales FTEs per billion in revenue.

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麻豆原创 Sports One, AI-assisted scouting
General availability

Scouts using 麻豆原创 Sports One now have access to unparalleled efficiency in player assessment, thanks to AI-assisted scouting. This capability allows them to rapidly digest complex scouting reports and match analyses through generated summaries in Joule, as well as pose specific questions using natural language to extract precise answers.

This significantly reduces the need for extensive documentation, liberating substantial time and resources, which translates to a decrease of up to 75%* in the effort and cost associated with summarizing player scouting reports, directly supporting sporting directors with enhanced decision-making.

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麻豆原创 Information Collaboration Hub for Life Sciences, AI-assisted error analysis
General availability

Supply chain planners can quickly resolve complex issues in serialization data exchange with the error analysis feature in 麻豆原创 Information Collaboration Hub for Life Sciences. The tool automatically classifies errors, provides easy-to-understand descriptions, and proposes resolution steps, helping planners identify root causes and manage exceptions without needing technical support.

Organizations can increase the productivity of their operational support teams by up to 25%* and lower distribution costs by up to 5%* through minimizing disruptions.

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麻豆原创 Batch Release Hub for Life Sciences, AI-assisted batch release processing
麻豆原创 Early Adopter Care program

For users of 麻豆原创 Batch Release Hub for Life Sciences, making swift, informed decisions about batch releases are becoming significantly more efficient with AI-assisted batch release processing. Through the Joule interface, this feature streamlines access to essential data and provides an organized view of worklist items, clearly highlighting releases that require detailed investigations due to blocked checks.

The conversational search capability further simplifies finding product documentation, ensuring critical issues are addressed promptly, and past insights are readily available for current decisions, ultimately reducing the time needed to access vital batch release information by up to 90%*.

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麻豆原创 Business AI for business transformation management

Dashboard Analyzer Agent for 麻豆原创 Signavio
Beta release

Business process professionals utilizing the Dashboard Analyzer Agent can transform 麻豆原创 Signavio dashboards into intelligent, prescriptive tools. This AI agent autonomously interprets complex event logs and KPIs to identify inefficiencies, explain root causes, and generate actionable recommendations in natural language.

By embedding these AI-driven insights directly into the user鈥檚 workflow, organizations can achieve a reduction of up to 80%* in the time required to access process mining insights and significantly reduce the value erosion caused by poor data interpretation.

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Screen Guide Agent for 麻豆原创 Signavio
Beta release

Business users and process analysts can accelerate their understanding and adoption of the 麻豆原创 Signavio platform with the Screen Guide Agent. This AI agent provides dynamic, on-screen guidance by explaining the purpose of different features, highlighting the most relevant data, and offering next-step recommendations in natural language.

By transforming complex screens into intuitive experiences, organizations can reduce new user onboarding costs by up to 50%* and cut the time needed to interpret a page by up to 30%*, empowering users of all levels to work more confidently and productively.

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Workspace Administration Agent for 麻豆原创 Signavio
Beta release

Administrators and workspace managers can now significantly simplify and expedite user onboarding in 麻豆原创 Signavio with the Workspace Administration Agent. This AI agent automates the process of creating users in bulk, assigning correct roles and licenses, and granting immediate access to necessary dashboards and collaborative workspaces.

By implementing this tool, organizations can achieve a reduction of up to 90%* in the time it takes to provide user access rights, ensuring new team members can contribute from day one.

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Value Case Creation Agent for 麻豆原创 Signavio
Beta release

Process improvement leaders and business analysts can translate raw process insights into compelling, data-driven business cases with the Value Case Creation Agent. This AI agent automatically identifies operational inefficiencies, quantifies their potential financial impact, and generates editable value case drafts that summarize the problem and expected benefits.

By streamlining the justification for transformation initiatives, organizations can reduce the time required to create a value case by up to 70%* and decrease the erosion of value from inaction, ensuring that improvement efforts are prioritized based on clear ROI.

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Process Content Recommender Agent for 麻豆原创 Signavio
Beta release

Enterprise architects and process managers can rely on the Process Content Recommender Agent for intelligent guidance on specific process questions within 麻豆原创 Signavio. By reasoning over thousands of best practices from both 麻豆原创 and internal custom models, the agent delivers a structured, prioritized list of tailored content, including relevant KPIs and value accelerators.

This capability enables organizations to reduce content search time by up to 50%* and improve the productivity of their business process management resources, allowing teams to make faster, data-driven decisions on their transformation initiatives.

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麻豆原创 Signavio Process Transformation Manager, AI-assisted insights description generator
General availability

Analysts working with 麻豆原创 Signavio Process Transformation Manager can collaborate more effectively and accelerate decision-making through this new integrated feature. It automatically generates clear, consistent, and business-user-friendly descriptions for insights derived from 麻豆原创 Signavio Process Intelligence.

Analysts can save significant manual effort by transforming complex meta-model terms into readily understandable language, which improves readability and stakeholder alignment. The result is an up to 80%* reduction in time spent translating meta-model terms and an up to 5%* improvement in overall business user productivity.

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麻豆原创 Signavio solutions, AI-assisted transformation advisory, initiative builder
General availability

Transformation leads can now translate high-level business documents into concrete, actionable projects using the initiative builder in 麻豆原创 Signavio solutions. By uploading strategic reports, operational reviews, or financial statements, users can automatically extract key challenges and instantly convert them into pre-defined initiatives within the 麻豆原创 Signavio Process Transformation Manager.

This ensures that transformation efforts are directly aligned with company goals, dramatically improving efficiency by reducing the manual effort required to find relevant insights by up to 75%* and accelerating overall execution.

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麻豆原创 LeanIX, AI Agent Hub
General availability

The AI Agent Hub enables CIOs and business leaders to view their entire AI agent landscape immediately. From a single dashboard, they can understand where agents are deployed, which processes they interact with, and how agents are performing.

This enables teams to evaluate effectiveness, identify redundancies, and manage AI as they would any other enterprise asset: aligned to outcomes, governed by policy, and continuously optimized for performance.

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WalkMe, 麻豆原创 Joule Action Bar
麻豆原创 Early Adopter Care release

Employees working across different enterprise systems can leverage the Joule action bar, a proactive AI assistant powered by WalkMe. This intelligent overlay operates seamlessly across both 麻豆原创 and non-麻豆原创 applications, interpreting on-screen context to understand user activities and deliver real-time insights or recommend the subsequent best actions directly within their workflow.

By offering a unified and intuitive AI experience that anticipates user needs, the action bar helps people work faster and more efficiently, reducing friction and harmonizing tasks across all systems.

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Philipp Herzig is CTO of 麻豆原创 SE.

*Disclaimer: This article provides estimated benefits. All calculations are estimates based on 麻豆原创 customer case studies, 麻豆原创 benchmarks, and other research. Actual benefits may vary and may be affected by additional factors not considered by this article. The information is provided 鈥渁s is鈥� without warranty of any kind, expressor implied, and in no event shall 麻豆原创 be liable for any damages whatsoever in relation with the use of this article. See Legal Notice on for use terms, disclaimers, disclosures, or restrictions related to this material.

This month at , we announced a wave of 麻豆原创 Business AI innovations all built on the same technology foundation that powers our that we are now delivering to our customers and partners, allowing them to add even more value in the future.

We showed how the future of enterprise software is built on an AI-native architecture, powered by 麻豆原创 app, data, and AI foundation. With this approach, we are enabling a platform shift across the tech stack in a non-disruptive fashion, empowering developers to work faster and smarter using the frameworks and tools of their choice.

麻豆原创 HANA Cloud and 麻豆原创 Business Data Cloud: powering our AI-native future

麻豆原创 HANA Cloud is the database for 麻豆原创鈥檚 AI-native software architecture and the foundation of our broader data fabric strategy. At 麻豆原创 TechEd, we announced new AI capabilities for 麻豆原创 HANA Cloud that spur AI innovation.  

For example, Model Context Protocol (MCP) support for 麻豆原创 HANA Cloud is now generally available. This provides direct access to rich multi-model engines. Agents can be grounded in full enterprise data context: navigating relationships across customers and suppliers, understanding geographic dependencies through spatial data, and performing semantic searches through vector embeddings — all within a single in-memory engine.  

We鈥檙e also expanding 麻豆原创 HANA Cloud knowledge graph engine capabilities (Q1 2026) so customers can automatically generate knowledge graphs from 麻豆原创 HANA Cloud metadata. What used to take weeks of manual modeling can now happen automatically in minutes. But that鈥檚 not all. We鈥檙e also enabling agentic memory in 麻豆原创 HANA Cloud. With long-term memory, AI agents can memorize past inputs and decisions — learning and remembering just like humans — and become continuously smarter.

These advances show that 麻豆原创 HANA Cloud is truly powering an AI-native future. .

Bringing together the power of 麻豆原创 BDC and Snowflake

We are bringing the power of Snowflake together with 麻豆原创 Business Data Cloud (麻豆原创 BDC), calling it 麻豆原创 Snowflake. This partnership enables zero copy data sharing with Snowflake via 麻豆原创 BDC Connect.

Enterprises already using Snowflake today can leverage 麻豆原创 BDC Connect to integrate their existing instances of Snowflake with 麻豆原创 BDC, giving them seamless, real-time access to combined, semantically rich 麻豆原创 with non-麻豆原创 data in 麻豆原创 BDC. 麻豆原创 Snowflake will be made generally available in Q1 2026, and 麻豆原创 BDC Connect for Snowflake in H1 2026. Find more information here.

麻豆原创-RPT-1: a new category of AI models

One of our most exciting announcements at 麻豆原创 TechEd was the launch of our first enterprise relational foundation model 麻豆原创-RPT-1, pronounced: 鈥渞apid one.鈥�

Businesses run on structured data. But large language models (LLMs) struggle with a general understanding of table structures and associated semantics. This requires the use of machine learning, or 鈥渘arrow AI,鈥� for tasks like classification, regression, and more. But classical machine learning necessitates training a model on each task, which easily can lead to hundreds of separate models.

麻豆原创-RPT-1 puts them all into one single, pre-trained model that understands relational business data and predicts business outcomes. Unlike language, image, or video models, 麻豆原创-RPT-1 accurately predicts business based on tabular data such as payment delays, supplier risks, upsell opportunities, customer churn risk, and more.

We believe that 麻豆原创-RPT-1 is a super capable foundation model today. It provides up to 2x better prediction quality compared to narrow models and 3.5x better prediction quality as compared to LLMs. .

麻豆原创-RPT-1 comes in three versions. 麻豆原创-RPT-1-small is for super-fast predictions and 麻豆原创-RPT-1-large is for highest accuracy. Both will be generally available in Q4 2025 in the generative AI hub in AI Foundation. 麻豆原创-RPT-1-OSS is the open-source version, available in Hugging Face and GitHub.

You can test 麻豆原创-RPT-1 today with your data or our use case data samples via no-code UI or via API in the new 麻豆原创-RPT-1 playground, an intuitive and interactive space to test for free and open to everyone and .

We are continuously adding new capabilities to AI Foundation and models to the generative AI hub, empowering developers to experiment with orchestration tools and leading models to scale AI development and productization across 麻豆原创 and non-麻豆原创 environments. For example, Perplexity is now generally available in the generative AI hub, so users can correlate business data with external data from the internet. Evaluation Services and Prompt Optimizer, in close collaboration with NotDiamond, are now also generally available in AI Foundation, freeing up users to adopt the most appropriate model for their use cases without the need for rewriting prompts. .

Digital sovereignty made in Germany, for Europe

Digital sovereignty is becoming increasingly important, reflecting the need for regional AI services that align with local regulations, standards, and values. As an example, Europe will benefit from its own strong, trustworthy infrastructure to support innovation, data protection, and ethical AI.

AI Foundation, including various models and all the services we offer, is already available on our own cloud infrastructure. As a next step, we are expanding our 麻豆原创 Cloud Infrastructure offering in our 麻豆原创 data center in Walldorf, Germany, to Deutsche Telekom through the Industrial AI Cloud project, providing secure, high-performance infrastructure for AI innovations across public institutions, defense, and society. 麻豆原创 delivers 麻豆原创 Cloud Infrastructure, 麻豆原创 Business Technology Platform, and applications 鈥� including our AI Foundation with frontier AI from Mistral, Cohere, and others 鈥� on Telekom鈥檚 Munich data center. Both companies uphold the highest standards of data protection, security, and reliability.

This marks a milestone as more European companies join the Industrial AI Cloud project, advancing applied AI across Europe with trusted, business-embedded solutions that unlock the full potential of industry data. See the announcement here.

Enabling customers to build, extend, share, and orchestrate AI agents

To help manage Joule Agents and Joule skills, we have introduced the concept of AI Assistants 鈥� role-based AI teammates, accessed through Joule 鈥� like a financial assistant that brings together agents for cash collection, treasury, and more. We will provide AI Assistants in Joule for every core business role, offering our users an agentic experience like never before.

Out-of-the-box Joule Agents are powerful, but we know that every company has unique requirements. We believe AI should adapt to users鈥� systems, not the other way around, so we are enabling them to use Joule Studio to extend 麻豆原创鈥檚 pre-built agents with custom fields, tools, and reasoning logic while retaining all the deeply grounded integration capabilities 麻豆原创 provides. Joule Studio also provides low-code tools to build custom agents that integrate with all other Joule Agents, Joule skills, and 麻豆原创 BDC.

Using a low-code approach, users can build Joule Agents visually with natural language and drag-and-drop. But we also want to meet the needs of developers who want ultimate flexibility. Our pro-code approach gives developers the freedom to build agents using the agentic framework of their choice 鈥� for example, LangGraph, CrewAI, Google鈥檚 Agent Development Kit, and more. 麻豆原创 Cloud SDK for AI now supports agentic development, ensuring these pro-code agents can be seamlessly integrated and giving developers the best of both worlds: deep integration and full flexibility.

No matter how you want to build agents, an important question is how to integrate them into the larger ecosystem beyond 麻豆原创. We鈥檙e making Joule Agents fully compatible with the agent-to-agent (A2A) protocol soon, so agents can discover and collaborate with each other.

A2A exposes rich semantics describing an agent鈥檚 capabilities, allowing both 麻豆原创 and third-party agents to work together seamlessly. We are collaborating with partners 鈥� AWS, Google, Microsoft, ServiceNow, and more 鈥� to standardize this protocol for full interoperability. This capability will allow Joule to orchestrate tasks across multiple agents, both 麻豆原创 and non-麻豆原创, increasing automation and productivity across the enterprise. Read more here.

To manage and govern agents across the enterprise, is now generally available, providing centralized control of 麻豆原创 and non-麻豆原创 agents. In addition, is available now for tracing agent actions, benchmarking against KPIs, and identifying bottlenecks or opportunities for agents to further improve business.

No 麻豆原创 TechEd without ABAP news

The ABAP journey continues with 麻豆原创-ABAP-1, which will be available in the generative AI hub in Q4 2025. Trained on ABAP code, it is designed to build ABAP AI use cases, enabling developers to build smarter, custom AI solutions in modern ABAP code. .

In addition, ABAP Cloud development is coming to Visual Studio (VS) Code. The new ABAP Cloud extension for VS Code delivers a streamlined, file-based development experience with built-in AI assistance. Powered by an ABAP language server, it will initially support 麻豆原创 Fiori UI service development and expand to additional ABAP Cloud scenarios over time. This brings ABAP development into the same environment where developers already build with UI5 and CAP. General availability is planned for Q2 2026. .

What鈥檚 next: embodied AI and quantum

麻豆原创 TechEd is always an opportunity to look to the future. This year, that future includes not just humans, but also autonomous devices, including humanoid robots.

By integrating Joule Agents natively with robots, 麻豆原创 is bringing business logic into the physical world, enabling a wide range of autonomous devices to operate with enterprise context. We highlighted our strategic partnerships with robotics companies and system integrators to serve customers like Sartorius, Bitzer, and Matur Fompak, demonstrating how our expanding physical AI ecosystem enables robots to understand business processes and execute complex tasks autonomously.

Early proof-of-concept deployments show Joule successfully integrated with 麻豆原创 business applications and autonomous systems across asset performance, logistics, field services, and warehouse operations. While still in the pioneering stage, these implementations illustrate how 麻豆原创 is extending Joule to serve both human users and autonomous devices, shaping the future of enterprise AI.

Read more about the partnerships and implementations here.

AI is a new compute paradigm that changes everything. But there is another compute paradigm on the horizon: quantum computing. It鈥檚 early days, but 麻豆原创 is driving the future of enterprise computing with a vision to help businesses get ready for quantum computing.

麻豆原创 is not building quantum hardware; instead, we are focusing on creating quantum algorithms for business applications. These solutions are simple to deploy 鈥� on when needed, off when not 鈥� and are designed to be hardware-agnostic, collaborating with partners such as IBM to ensure seamless integration without re-platforming. This approach will enable organizations to unlock operational efficiency and drive better business results at enterprise scale.

I couldn鈥檛 be more excited about what鈥檚 next for our customers鈥� future as we bring 麻豆原创鈥檚 AI-native architecture to life.

Philipp Herzig is CTO of 麻豆原创.

The International Trade Classification Agent and Cash Management Agent optimize finance, while the Bid Analysis Agent and Receipt Analysis Agent clarify spending. The Production Planning and Operations Agent, Change Record Management Agent, and Supplier Onboarding Agent handle supply chain logistics. In human resources, the HR Service Agent, People Intelligence Agent, and Career and Talent Development Agent level up your workforce, while customer-facing teams get support from the Digital Service Agent. Finally, the Utilities Customer Self-Service Agent cut service costs, while the Process Content Recommender Agent and Workspace Administration Agent accelerate business-wide transformation and onboarding.

With the growing number of Joule Agents, we want to make it as easy as possible for our customers to engage with AI. That is why we鈥檙e introducing AI Assistants in Joule as a grouping concept. This means that the agents are role-aware depending on the user logged onto the system, whereas the assistants will be more abstract, coarse-grained group around a semantically closely aligned set of agents. While Joule manages the tasks, the assistants will initiate sub threads for more targeted conversations when mentioned. If the user becomes lost in the details or does not receive the expected response from the selected assistant, Joule can step in.

Want to learn more? The has all innovations announced at 麻豆原创 Connect.

In Q3, 麻豆原创 received its , which means customers get responsible AI systems, such as Joule, 麻豆原创 AI Core, and more, that can be confidently integrated into their operations. This certification assures that our AI solutions meet the highest industry standards for ethics, security, and compliance, including adherence to regulations like the EU AI Act.

麻豆原创 Business AI is fully on track to have more than 400 AI features, including Joule Agents, by the end of 2025 that will deliver unparalleled business value to customers. These features are being built with AI Foundation on  (麻豆原创 BTP) and will add to the over 300 existing AI scenarios and 1,900 Joule skills.

Here are some of the highlights from Q3 2025:

• 麻豆原创 Business AI for supply chain is ensuring the entire supply chain runs smoothly while boosting productivity. The new Shop Floor Supervisor Agent proactively manages factory floor disruptions by analyzing issues and recommending actions. AI-assisted mobile execution in 麻豆原创 Service and Asset Manager lets customers in the field use voice commands for hands-free job documentation. 麻豆原创 Integrated Business Planning provides clear summaries for complex statistical results and safety stock calculations, to name a few. There is much more to check out about 麻豆原创 Business AI for supply chain below.
• 麻豆原创 Business AI for finance has always been packed, and this quarter is no exception. We are boosting productivity and simplifying complex tasks through embedded AI. Joule has new capabilities that let customers interactively verify supplier invoices or perform mass updates using natural language. Generative AI explains more core financial processes, including complex costing variants. 麻豆原创 Document AI automation alleviates more tedious tasks, such as extracting and matching data from incoming quality certificates. There is so much more, so dive into everything 麻豆原创 Business AI for finance below.
• The latest innovations don鈥檛 slow down for industries, spend, and procurement. The Booking Agent in Concur Travel is a new personal assistant that simplifies our customers鈥� trip planning with personalized flight and hotel recommendations. Procurement customers can automate statements of work (SOWs) creation with a new document extraction feature in 麻豆原创 Fieldglass that pulls data directly from existing files. Finally, the Utilities Customer Self-Service Agent offers a new 24/7 self-service that feels personal and effective across any channel for utility customers. Check out industries, spend, and procurement in detail below.
• 麻豆原创 Business AI for customer experience welcomes new agents that will free up more of employees鈥� time and boost customer service. The Digital Service Agent supercharges customer support with instant answers to common inquiries, freeing human agents to focus on more complex, high-value interactions. The Catalog Optimization Agent continuously scans product descriptions and translations to identify inconsistencies or gaps in global product catalogs. Get all the details for customer experience below.
• With 麻豆原创 Business AI for IT and developers, customers can build, automate, and analyze faster and more simply than ever. agent builder is at the top of the ticket, as users can now create custom AI agents to automate complex, end-to-end business processes. 麻豆原创 Analytics Cloud is seeing exciting enhancements, with customers able to generate complex formulas and chart summaries from natural language. 麻豆原创 Joule for Developers also further accelerates ABAP code generation and testing. There鈥檚 so much more, so read on below.
• 麻豆原创 Business AI for business transformation management and 麻豆原创 Signavio are taking business value to new heights by transforming how business leaders understand customer experience. Customers can now automatically analyze sentiment from unstructured customer feedback and link it to events in their operational processes. My Process Overview in 麻豆原创 Signavio offers a highly personalized and role-specific experience for understanding processes. Learn more about AI and business transformation management below.
• In Q3 麻豆原创 Business AI for sustainability is all about simplifying what was once complex: environmental compliance and reporting. AI-powered permit management in 麻豆原创 S/4HANA Public Cloud extracts requirements directly from PDF documents to make manual effort and the risk of costly fines a thing of the past. 麻豆原创 Green Ledger uses AI to make sophisticated carbon analysis accessible to all business users through natural language queries. Business users can now effortlessly explore carbon emissions data and its financial impact in natural language. Get more information about AI and sustainability below.

Joule

麻豆原创 Joule for Consultants
Product enhancements
General availability

Consultants leading complex innovation and transformation projects require swift and reliable information to ensure success. assists them by providing instant clarity on ABAP code purpose, business logic, and structure, drawing from a model trained on 麻豆原创鈥檚 exclusive code and vast documentation. 麻豆原创 Joule for Consultants translates to an up to 14% acceleration in project execution, a 50% reduction in design rework, and an estimated 1.5 hours saved per consultant per day through faster knowledge access and improved code interpretation.
Read more about this release in our Q2 2025 highlights.

In Q3 2025, 麻豆原创 Joule for Consultants has gotten some key enhancements. Consultants can now leverage a new Prompt Guide for quick-start tips and a filterable Prompt Library to browse pre-formulated questions by role or area. The tool鈥檚 knowledge base is continually refreshed with the latest 麻豆原创 Learning journeys and courses, Activate Roadmap content, and now integrates 麻豆原创-exclusive, gated-content Knowledge Base Articles (KBA) and 麻豆原创 Notes. Once Joule provides an answer, the new 鈥淐opy Answer to Clipboard鈥� function allows consultants to quickly share the entire response and specific code snippets for seamless integration into other applications.

Get started and deep dive into . We also have learning resources to help you get started .

Watch a video: 鈥溾��

麻豆原创 Business AI for supply chain

麻豆原创 Service and Asset Manager
AI-assisted mobile execution
General availability

Field technicians can now document job details more efficiently using AI-assisted voice commands within the 麻豆原创 Service and Asset Manager mobile app. This mobile execution feature lets them capture work updates through natural language, which the system instantly converts into structured data, streamlining the job completion process.

By guiding the user and enabling a hands-free experience, this capability delivers a 50%* increase in technician productivity and a 75%* reduction in costs from job completion errors, fundamentally improving data quality and the mobile user experience.

Get started .

Shop Floor Supervisor Agent
Beta release

Production supervisors can use the Shop Floor Supervisor Agent to proactively manage and resolve potential factory floor disruptions. The agent helps them quickly understand the severity of an issue, resequencing production orders and reallocating resources to maintain a seamless workflow.

This proactive approach boosts supervisor productivity in handling disruptions by 50%* and reduces unplanned downtime by two percent*, ensuring greater operational efficiency.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, product compliance
AI-assisted compliance information processing
Beta release

Master data specialists in product compliance can leverage an AI-assisted feature in 麻豆原创 S/4HANA Cloud Public Edition to automatically process supplier compliance disclosures. The tool extracts key information, such as regulations and status data, and maps it directly to the corresponding compliance requirements within the system.
This automation improves the accuracy of compliance data, reduces the risk of errors that could lead to fines, and allows specialists to focus on strategic priorities instead of manual data entry.

This can reduce organizations’ costs of processing disclosures by up to 90% and environmental management penalties and fines by 67%.

Get started .

麻豆原创 Integrated Business Planning
AI-assisted forecast results analysis
麻豆原创 Early Adopter Care release

Demand planners can dramatically accelerate their forecast analysis using a generative AI summary embedded directly within their planning user interface. This intelligent narrative explains complex statistical details, such as why the best-fit algorithm was chosen, and provides clear recommendations for improving future results.

This enhanced visibility, powered by Joule, boosts planner productivity in analyzing forecasting runs by 25%*, enabling faster and more confident adjustments to the supply chain model.

Get started .

麻豆原创 Integrated Business Planning
AI-assisted analysis of inventory optimization results
麻豆原创 Early Adopter Care release

Inventory planners can now leverage AI-assisted analysis to better understand the key drivers behind their recommended safety stock values. The feature supports root cause analysis by translating complex calculations 鈥� such as demand variability, lead time fluctuations, and service levels 鈥� into clear summaries of the factors influencing inventory optimization outputs.

This capability accelerates the speed of analysis and boosts confidence in system recommendations, helping to ensure that inventory outcomes are strategically aligned with crucial business goals for working capital management and customer service. Organizations will enjoy a 25%* improvement in inventory planner productivity.

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麻豆原创 Business AI for finance

麻豆原创 S/4HANA Cloud Public Edition
AI-assisted processing of incoming quality certificates with 麻豆原创 Document AI
General availability

Quality technicians can elevate operational efficiency by automating the intake of quality certificate documents. The solution utilizes 麻豆原创 Document AI to intelligently extract data upon upload, automatically matching it to corresponding system objects to update or generate certificate receipts with minimal manual intervention.

This streamlined workflow accelerates stock release and delivers significant business value, reducing certificate processing time by 70%* and cutting potential revenue loss from associated delays by an equal measure.

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麻豆原创 S/4HANA Cloud Public Edition
AI-assisted note corrections for project billing
General availability

Billing specialists can enhance the professionalism of their invoices by leveraging the smart notes feature within the manage project billing application. This tool automatically suggests grammatical corrections for notes on time and expenses items, allowing specialists to review and approve changes instead of performing tedious manual edits.

By improving invoice accuracy and speeding up generation, this capability directly reduces the time spent on note corrections by 50%* and helps to shorten customer payment cycles.

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麻豆原创 S/4HANA Cloud Public Edition
AI-assisted explanation of fixed asset key figures
General availability

Asset accountants can demystify complex financial data with a new AI-powered feature that explains fixed asset calculations in simple, natural language. This tool lets them quickly comprehend asset valuations, ensure compliance, and answer stakeholder questions rapidly and confidently.

This intuitive approach reduces the effort spent analyzing asset values and responding to inquiries by up to 75%*.

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Joule with 麻豆原创 S/4HANA Cloud Public Edition
Product enhancements
General availability

As part of the new capabilities introduced this quarter in Joule with 麻豆原创 S/4HANA Cloud Public Edition:

Supplier invoice verification

The supplier invoice verification capability in 麻豆原创 S/4HANA Public Cloud enables accountants to interact with Joule using natural language to get immediate updates on supplier invoices, such as identifying the current approver or checking a payment status. They can also perform crucial tasks, like releasing an invoice from a payment block or canceling a posted document, without leaving the conversational AI. By providing this direct access to both information and transactional capabilities, the solution drastically reduces time spent on manual searches and boosts the overall productivity of the accounts payable team. The capability reduces the time required to search for invoice details by 60%* and provides a 10%* improvement in overall accounts payable productivity.

Costing variant explanation

Cost accountants working in 麻豆原创 S/4HANA Cloud Public Edition can now use the AI-assisted costing variant explanation for precise, natural language explanations for complex costing variants. This feature helps them quickly understand the logic behind product price calculations, ensuring they can efficiently select the correct parameters for cost estimates.

This intelligent guidance streamlines configuration and troubleshooting, delivering a 66%* reduction in the time needed to set up calculations and significantly increasing efficiency when resolving valuation errors.

Mass update of delivery date

Purchasers managing procurement timelines in 麻豆原创 S/4HANA Public Cloud can leverage Joule to execute mass updates of delivery dates. When a supplier communicates a schedule change, purchasers can use natural language to identify all relevant purchase order items and apply the new dates in a consolidated action.

This capability eliminates repetitive manual data entry and ensures downstream planning is based on the most accurate information, resulting in an 80%* increase in purchaser productivity for this task.

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麻豆原创 S/4HANA Cloud Public Edition
AI-assisted smart solution for situations in My Home
Beta release

Upon logging into 麻豆原创 S/4HANA Cloud Public Edition, business users can now leverage a smart homepage that automatically summarizes key updates and tasks requiring their attention. This feature provides a comprehensive overview of significant changes since the user’s last session, allowing them to identify and act on high-priority items immediately.

By bringing actionable insights directly to the entry page, users can boost productivity and significantly reduce the time spent on daily tasks, freeing them to focus on higher-value activities. Employees will see an up to 46%* reduction in time needed to resolve situations.

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麻豆原创 S/4HANA Cloud Public Edition
AI-assisted smart personalization of My Home for applications
Beta release

麻豆原创 S/4HANA Cloud Public Edition users can now personalize their homepage by using natural language to find the right applications for their tasks. The AI-powered feature interprets the user’s request and suggests the most relevant app, which can be added directly to the My Home entry page with a single click.

This significantly reduces users’ time searching for tools and helps new users get up to speed more quickly. The personalization costs of My Home are reduced by up to 33%*.

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麻豆原创 S/4HANA Cloud Public Edition
AI-assisted easy fill
Beta release

With the easy fill feature, 麻豆原创 S/4HANA Cloud Public Edition users can populate business object fields using natural language. This streamlines data entry by allowing users to describe an update in a business-relevant format, which the system then uses to automatically and accurately populate all corresponding fields.

This accelerates the process, improves data accuracy, and ensures all required information is captured, leading to an 80%* increase in speed, enhanced data accuracy, and a significant reduction in business process complexity and user training time.

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麻豆原创 S/4HANA Cloud Public Edition
AI-assisted payment exception analysis and explanation
Beta release

Accounts payable accountants using 麻豆原创 S/4HANA Cloud Public Edition can more efficiently analyze and resolve payment exceptions. The feature provides enhanced tools to search payment logs and view a transparent history of changes made to payment proposals.

This enables users to quickly identify the root cause of an issue, leading to a higher rate of on-time payments and improved transparency for both end-users and auditors. Overall, it will increase the average rate of on-time payments by up to 85%*, reduce the time for analyzing payment run logs from up to one hour to just 10 minutes*, and lower the overall cost of 麻豆原创 support.

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麻豆原创 Business AI for spend management

Booking Agent
麻豆原创 Early Adopter Care release

Business travelers can streamline their trip planning with the Booking Agent in Concur Travel. The Joule Agent analyzes individual preferences, company policies, and budgets to deliver personalized flight and hotel recommendations through a conversational interface.

This approach reduces the time needed to book a trip by 11% *and improves user engagement by 50%*. It also increases policy compliance and simplifies the overall booking experience.

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麻豆原创 Business AI for procurement

Joule with 麻豆原创 Ariba solutions
General availability

Procurement professionals using 麻豆原创 Ariba solutions, from sourcing experts to casual requisitioners, can now avoid navigational and transactional complexities. Joule integrates with 麻豆原创 Ariba Sourcing, 麻豆原创 Ariba Supplier Management, and 麻豆原创 Ariba Buying, providing intuitive navigation and natural language processing for information access and task completion.

This results in up to 50%*鈥� faster informational searches and up to 50%*鈥� quicker execution of navigation and transactional tasks, enabling procurement teams to redirect their efforts toward strategic activities and maximize their contribution to organizational goals.

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麻豆原创 Fieldglass Service Procurement
AI-assisted document information extraction
General availability

With AI-assisted document information extraction, project managers can streamline the extraction of SOWs from existing files. This helps them reclaim time and eradicate errors during critical migrations. 麻豆原创 Fieldglass Service Procurement extracts essential SOW details from existing PDFs. This advanced capability shifts the focus for project managers from tedious manual data entry to cultivating stronger collaboration among all stakeholders in the SOW life cycle.

The ultimate benefit is a marked 80%* reduction in the time required for SOW creation, a significant decrease in the risk of costly errors, and an overall improvement in collaborative efficiency.

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麻豆原创 Business AI for customer experience

Catalog Optimization Agent
Beta release

E-commerce product managers who optimize global product catalogs can use the Catalog Optimization Agent for intelligent automation within 麻豆原创 Commerce Cloud. This Joule Agent continuously evaluates product descriptions, attributes, and translations to identify and flag inconsistencies or gaps, ensuring accurate and complete information.

This enhancement of merchandising standards improves product discoverability. It drives higher conversion rates, resulting in significant efficiencies, such as a 70% reduction in translation time and a 65% decrease in the time spent adding descriptions per asset.

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Digital Service Agent
General availability

Customer service and sales teams can enhance their support capabilities by deploying the Digital Service Agent to respond to inquiries in natural language. This Joule Agent leverages a company’s internal 麻豆原创 business knowledge to instantly provide accurate answers and resolve common issues. The agent integrates with existing business portals and e-commerce platforms through content-rich APIs and uses machine learning to continuously improve its response quality.

This automation frees human agents to focus on complex, high-value interactions, ultimately decreasing support costs, improving overall customer satisfaction, and boosting conversion rates. Organizations can increase sales staff productivity by 50%*, service staff productivity by 50%* for agent-handled tasks, and overall operational performance.

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麻豆原创 Business AI for IT and developers

麻豆原创 Datasphere
AI-assisted semantic generation
General availability

Data analysts often spend valuable time manually defining the semantic types for ingested non-麻豆原创 data, a necessary but time-consuming preparation task. 麻豆原创 Datasphere accelerates this process with its AI-assisted semantic generation. The embedded feature automatically recognizes and assigns the correct semantic characteristics to data, allowing analysts to bypass manual preparation and move directly to higher-value modeling work.

This capability reduces the time and costs associated with creating semantics for non-麻豆原创 entities by up to 95%* and empowers organizations to derive insights from their data faster.

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麻豆原创 Analytics Cloud
AI-assisted commenting
General availability

Within 麻豆原创 Analytics Cloud, a new AI-assisted commenting feature helps users consume and create commentary. For business analysts, the tool can automatically summarize long comment threads, aggregate comments along a data hierarchy for new insights, and translate the results into the user’s preferred language.

Users can get the help of AI to rephrase their input when authoring comments for improved quality and clarity. This capability dramatically reduces the time needed to analyze qualitative feedback, enabling faster and better-informed decision-making. Organizations will enjoy a dramatic increase in efficiency, with an 80%* reduction in the time required to rephrase business comments, an 80%* reduction in time to aggregate and translate descendant comments, and an 80%* reduction in the time it takes to summarize and translate comments by cell or thread.

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麻豆原创 Analytics Cloud
AI-assisted data actions
General availability

麻豆原创 Analytics Cloud now assists planning professionals by automatically generating advanced formula scripts from natural language descriptions. Users can write a comment explaining the desired logic, and the AI will create the corresponding script. Conversely, the tool can also analyze an existing script and generate business-friendly comments, greatly simplifying documentation and knowledge transfer.

This dual capability equips organizations with a 75%* reduction in the time needed to author scripts and a 75%* reduction in the time required to create fully documented scripts.

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麻豆原创 Analytics Cloud
AI-assisted chart summary
General availability

Users can automatically generate a text summary for any chart using the 麻豆原创 Analytics Cloud add-in for Microsoft PowerPoint. The feature creates a three-bullet point summary inserted directly into the presentation as editable text with a single click. The summary can be regenerated on demand to ensure it always reflects the latest data in the source chart.

This feature significantly reduces the time spent writing presentation commentary. It improves chart comprehension for the audience, offering an up to 96%* reduction in time for writing and updating a chart summary.

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麻豆原创 Analytics Cloud
AI-assisted calculations
General availability

A new AI feature simplifies working with calculations in 麻豆原创 Analytics Cloud. Users can now generate complex calculation formulas simply by describing what they need in natural language. Conversely, the tool can also take an existing, complex formula and explain its function in clear, easy-to-understand text.

This dual capability cuts the time required to create and understand calculations by 60%*, making the platform more accessible and efficient for all users.

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麻豆原创 Document AI
Embedded edition and workspace
General availability

麻豆原创 Document AI, embedded edition, automates the entire document lifecycle within enterprise processes. The solution can automatically retrieve documents from sources like email inboxes, extract key information based on predefined templates, and then seamlessly post the data into target systems like 麻豆原创 S/4HANA. This end-to-end automation accelerates document handling, improves data accuracy, and reduces the delays and value loss associated with manual processing.

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麻豆原创 Document AI workspace is the central administration hub for managing automated document processing. It provides a comprehensive suite of tools for administrators to define data extraction schemas, orchestrate intelligent workflows, and integrate various input channels. The workspace also includes real-time monitoring and analytics, offering complete transparency and control over performance. Centralizing these functions streamlines the setup and governance of document AI solutions, accelerating deployment and simplifying the management of large-scale document processing. Both will grant organizations a 70% *reduction in document processing time, an 83% reduction in template maintenance, and a 40%* mitigation of the value lost to manual processing delays.

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Employees working remotely or in the field often need to submit documents while on the go. Integrating 麻豆原创 Document AI with 麻豆原创 Mobile Start lets users seamlessly upload photos and files for automated processing directly from their mobile device. This mobile-first accessibility streamlines document-heavy workflows, improves overall processing efficiency, and provides a more convenient and user-friendly experience for the entire workforce.

Generative AI Hub
Product enhancements
General availability

Developers can experiment with leading models and orchestration tools with generative AI hub in 麻豆原创 AI Core. This enables scalable AI development and productization across 麻豆原创 and non-麻豆原创 landscapes with built-in trust and compliance.

The open-source coding agent Cline has been integrated into generative AI hub this quarter. It connects developers to over 40 cutting-edge AI models鈥攊ncluding GPT-5, Claude Sonnet 4, and 麻豆原创-managed options鈥攖hrough a single, secure 麻豆原创 AI Core endpoint. It streamlines coding workflows with context-aware assistance, automated code generation, and seamless model switching, all within existing 麻豆原创 development tools. .

New models are also joining the generative AI hub to give customers more flexibility in choosing the best for their organization鈥檚 individual use cases. The latest models include Claude Opus 4, Claude Sonnet 4, GPT-5, GPT-5 Mini and GPT-5 Nano, Mistral Medium Instruct, Cohere Reasoning A Command, Nova Premier from AWS Bedrock, Gemini Embeddings, and Amazon Titan Multimodal Embeddings G1 model.

For more information on new and deprecated models, .

Finally, 麻豆原创 Document Management is now supported as a repository type for the orchestration grounding module. .

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麻豆原创 Joule for Developers, ABAP AI capabilities
Product enhancements
General availability

麻豆原创 Joule for Developers will remain free for another year, allowing customers and partners to benefit from AI-driven development through material numbers 8019124 (customers) and 8019541 (TDD partners). .

With 麻豆原创 Joule for Developers, ABAP developers can expect a 20%* reduction in time and effort to write ABAP code, a 25%* reduction in time and effort to test ABAP code, and a 4.4%* faster time to realized value.

This past quarter, 麻豆原创 Joule for developers, ABAP AI capabilities have been enhanced with several capabilities:

• ABAP developers can generate complete ABAP Cloud applications based on the ABAP RESTful application programming model (RAP). With simple prompts, they can specify a data model based on the given data dictionary structures of the underlying ABAP repository. On top of the generated data model, a full RAP application with an 麻豆原创 Fiori user interface is generated.
• Developers can also integrate RAP applications with OData services exposed by an 麻豆原创 S/4HANA Cloud system using Joule, which helps to create the necessary code automatically.
• They can leverage Joule to create custom fields and logic without diving into the technical implementation details.

of 麻豆原创 Joule for Developers, ABAP AI capabilities in 麻豆原创 S/4HANA Cloud Private Edition in Q4 2025.

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麻豆原创 Build solutions
AI-assisted content creation and summary
General availability

Business users and content creators can now directly leverage embedded generative AI assistance within 麻豆原创 Build Work Zone. This feature enables them to instantly generate text from simple prompts or summarize lengthy information into clear, digestible formats, streamlining the content creation process from within their digital workplace.

This capability reduces the time required to produce an external-facing blog from six hours to just one*, enabling the rapid creation of high-quality content.

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Joule studio
Agent builder
Beta release

Using the agent builder in Joule studio, business and IT users can create custom AI agents to automate complex, end-to-end business processes. These agents are designed to plan, reason, and dynamically solve problems by coordinating multi-step workflows across 麻豆原创 and non-麻豆原创 systems. By invoking APIs, interacting with documents, and collaborating with users, they can handle ambiguous or fragmented processes that exceed the scope of traditional automation.

This allows organizations to drive efficiency in scenarios requiring expert decision-making and exception handling, all while providing central management for governance and visibility.

This unlocks new levels of operational agility and employee productivity for every organization, reducing the time to deploy custom Joule skills by 10%* and cutting the time spent on frequent business tasks by up to 25%*.

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麻豆原创 Business AI for industries

Utilities Customer Self-Service Agent
General availability

Utility customers increasingly expect intuitive, 24/7 self-service options that feel personal and effective across any channel. The Utilities Customer Self-Service Agent addresses this need by providing a conversational AI to handle service requests and product inquiries. Fully integrated out of the box with 麻豆原创 for Utilities data and processes, the agent delivers a consistent and satisfying experience at any time of day.

This agent helps utility providers strengthen customer relationships while driving operational excellence, resulting in an approximate 90%* reduction in the average cost for each AI-handled contact.

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麻豆原创 Business AI for business transformation management

麻豆原创 Signavio solutions
AI-assisted context analyzer, text-to-event matching
Beta release

Process owners can now leverage an AI-assisted context analyzer to automatically match free-text customer experience data directly to specific events within their operational processes. This capability creates a unified view correlating customer sentiment with process execution in a single dashboard.

Eliminating time-consuming manual data mapping lets teams pinpoint the root cause of issues more quickly, leading to enhanced decision-making and targeted improvements for operational efficiency and the overall customer experience. Process owners can expect to improve process analysis accuracy by up to 30%*.

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麻豆原创 Signavio solutions
AI-assisted context analyzer, sentiment analysis
Beta release

Process owners now have an automated method to interpret customer sentiment from free-text data using an AI-assisted context analyzer. The system intelligently classifies unstructured feedback as positive, negative, or neutral, revealing how specific operational processes influence the customer’s perception.

This provides actionable insights to identify root causes, enabling targeted process improvements that enhance customer satisfaction and support proactive experience management. Process owners can expect to reduce the time it takes to access insights from experience records by up to 90%鈥�*.

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麻豆原创 Signavio Collaboration Hub
AI-assisted role-based process overview
Beta release

The My Process Overview feature provides business users in 麻豆原创 Signavio Collaboration Hub with a highly personalized and role-specific experience. Leveraging an AI-driven setup wizard, the system automatically surfaces the most relevant processes and content, eliminating the need for manual searching and navigation.

This tailored environment provides employees with immediate clarity on their responsibilities, significantly boosting productivity while reducing the administrative overhead required to configure and maintain role-specific access paths. It reduces the time needed to navigate to relevant content by 50%* and shortens new user onboarding by 10%*, all while delivering a superior user experience that drives rapid adoption.

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麻豆原创 Business AI for sustainability

麻豆原创 S/4HANA Cloud Public Edition, EHS environment management
AI-assisted permit management
Beta release

Environmental compliance managers using 麻豆原创 S/4HANA Cloud Public Edition can now automate the setup of EHS permit data by extracting it directly from PDF documents. The AI-powered feature intelligently scans permits of any length to capture header data and identify all requirements and propose corresponding compliance tasks. An intuitive side-by-side view lets users validate the AI’s suggestions while reviewing the document, ensuring complete coverage and simplifying audits.

This approach reduces manual effort and the risk of costly omissions, leading to a potential 65%* reduction in management costs and an 80%* reduction in fines, while also eliminating the need for a separate optical character recognition (OCR) solution.

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麻豆原创 Green Ledger
AI-assisted carbon emission analysis
麻豆原创 Early Adopter Care release

Business users can encounter challenges accessing and analyzing intricate carbon emissions data, especially when correlating environmental impact with financial outcomes. 麻豆原创 Green Ledger offers an AI-assisted solution that seamlessly integrates financial data from 麻豆原创 S/4HANA Public Cloud, enabling on-demand exploration of carbon emissions and the creation of meaningful KPIs that directly link environmental performance with business results.

This lets users effortlessly request complex reports using natural language prompts via Joule, making sophisticated insights readily available even to those without extensive data science backgrounds. This reduces the time required for carbon accounting analysis by 90%*.

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麻豆原创 S/4HANA Cloud Public Edition, workplace safety
AI-assisted safety observation reporting
Beta release

Production operators and industrial hygienists can enhance workplace safety using the AI-assisted safety observation reporting in 麻豆原创 S/4HANA Cloud Public Edition. This intelligent capability allows workers to describe safety observations in their own words, with the system processing the natural language input, asking for any missing details, and automatically creating a structured safety observation record.

By removing the need for complex forms, this streamlined process helps businesses capture standardized, actionable data for faster risk prioritization, ultimately delivering up to a 71%* reduction in reporting costs and five percent* cost avoidance for time loss due to incidents.

Get started .

Philipp Herzig is CTO, chief AI officer, and a member of the Extended Board of 麻豆原创 SE.

*Disclaimer: This article provides estimated benefits. All calculations are estimates based on 麻豆原创 customer case studies, 麻豆原创 benchmarks, and other research. Actual benefits may vary and may be affected by additional factors not considered by this article. The information is provided 鈥渁s is鈥� without warranty of any kind, expressor implied, and in no event shall 麻豆原创 be liable for any damages whatsoever in relation with the use of this article. See Legal Notice on for use terms, disclaimers, disclosures, or restrictions related to this material.

麻豆原创 Sapphire saw further cement itself as our new UI in the age of AI, as it continues to redefine the end-user experience. Customers are asking questions in natural language, and Joule is working hard behind the scenes to find answers.

More than 40 Joule Agents were announced at 麻豆原创 Sapphire, and the first set of Joule Agents is now available to customers. These agents work across business functions to help customers resolve dispute cases, maintain strong customer relationships, complete follow-up tasks, and more. , the AI operating system for all 麻豆原创 Business AI solutions, simplifies AI development by centralizing all the tools to build, extend, and run custom AI solutions and agents at scale.

And those are just a few announcements from 麻豆原创 Sapphire! Check out the or this overview for more announcements and the full picture. As we close the second quarter of 2025, we have a ton of 麻豆原创 Business AI updates to share.

In the second quarter of 2025, we continued accelerating the delivery of high-impact innovations to customers with enhancements to Joule, Joule Agents, and additional AI scenarios embedded across the portfolio. These features are all built with AI Foundation on  and add to over 240 existing AI scenarios and 1,600 Joule skills. We are working hard and are fully on track to have over 400 AI scenarios by the end of 2025 that will deliver unparalleled business value to customers.

Here are some of the highlights from Q2 2025:

• Joule continues to redefine the way people interact with 麻豆原创. As is now generally available, consultants can rapidly grasp ABAP code and best practices for faster project execution, less rework, and time savings. The phased integration of Joule with Microsoft 365 Copilot offers a unified experience across 麻豆原创 and Microsoft environments for seamless task completion. Joule’s analytical insights feature is generally available, delivering tailored, on-demand decision support through natural language.
• Joule Agents and AI Agents: For example, in supply chain management, agents can already do so much, from autonomously scheduling and optimizing service orders to continuously analyzing real-time data to suggest maintenance schedule adjustments, help reprioritize tasks, and improve asset health. In human capital management, the Performance and Goals Agent provides managers with data-driven insights before one-to-one employee meetings. In 麻豆原创 CX AI Toolkit, the Shopping Agent and CX Agents Builder are now generally available, with the opportunity to build custom agents for customer experience scenarios, such as quote creation, Q&A, or service classification.
• is working to minimize disruptions and simplify planning. 麻豆原创 Digital Manufacturing gets error analysis, and Joule鈥檚 general availability provides instant access to critical information through natural language. There鈥檚 an add-in for Microsoft Excel and 麻豆原创 Integrated Business Planning (麻豆原创 IBP) to generate IBP formulas using natural language. These are just some of the supply chain updates. Explore more below.
• : It鈥檚 all about efficiency when it comes to and spend. Joule partners with 麻豆原创 Document and Reporting Compliance to translate complex e-invoicing errors into natural language. This way, error misunderstandings are a thing of the past. Joule enhancements in 麻豆原创 S/4HANA Cloud Public Edition increase efficiency with proactive sales order fulfillment monitoring, direct fixed asset master data creation, and price adjustment suggestions. For 麻豆原创 S/4HANA Cloud Private Edition, Joule helps users with field logistics, cash management, contract analysis, and streamlines convergent invoicing processes. The first Joule agents are now available in spend management. The Concur Travel Meeting Location Planner Agent simplifies off-site planning by automating information gathering and coordination. The Concur Expense Report Validation Agent can proactively flag issues and guide users through corrections, reducing report preparation time dramatically. Learn more below.
• 麻豆原创 Business AI for procurement sees Joule join 麻豆原创 Fieldglass and boosts Contingent Workforce Management with AI-assisted skill-based job postings, which reduce time defining and matching skills and lower worker ramp-up time. Plus, the AI summarizer in 麻豆原创 Ariba slashes document review times by 50%, and the Sourcing Agent, available in beta, speeds up the sourcing event creation process. Dive in below.
• shows the power of AI and 麻豆原创 SuccessFactors. New language features streamline translation, interview feedback improves candidate evaluations, and “Explain Pay” in Joule reduces payroll help desk tickets and raises employee satisfaction. Explore more below.
• puts the power of Joule in developers鈥� hands. Generative AI hub in AI Foundation gets the latest and greatest models, including Google Gemini 2.5 Pro and Flash, OpenAI GPT, o3, o4-mini, 4.1, 4.1-mini, 4.1-nano, and Mistral Small 3.1, Anthropic Claude Opus 4, Sonnet 4, and NVIDIA Llama 3.2 nv embedqa 1b. The . It automates prompt optimization across AI models, eliminating vendor lock-in and expediting model adoption. 麻豆原创 Document AI now includes file filtering, for example, allowing AI agents to process only relevant document pages for more efficient processing and more flexibility for task-specific document handling. Learn more below.

We will deliver more use cases across our entire solution range in the second half of 2025. Customers can stay updated with .

Joule

麻豆原创 Joule for Consultants
Generally available

Consultants navigating complex innovation and transformation projects require access to reliable and efficient information. assists consultants in rapidly understanding ABAP code purpose, business logic, and structure through a model trained on 300 million lines of ABAP and 30 million lines of CDS code. This access to 麻豆原创鈥檚 exclusive content, coupled with over 200,000 pages of 麻豆原创 documentation, over 50 麻豆原创 Certifications, and more than two terabytes of curated 麻豆原创 Community content, allows consultants to make informed decisions and align projects with best practices.

The resulting business value includes up to a 14 percent acceleration in project execution, a 50 percent reduction in design iterations and rework, and an estimated 1.5 hours saved per consultant per day due to much faster knowledge access and improved code interpretation.*

This capability was recently included in the which shows how AI can be applied in real-world scenarios to solve complex global challenges responsibly.

Discover how KPMG is revolutionizing 麻豆原创 transformations with 麻豆原创 Joule for Consultants and 麻豆原创 Business Data Cloud:

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Joule in Microsoft 365 Copilot and Microsoft Teams
Generally available

Modern enterprises rely on interoperability between critical business systems. Joule is now generally available within Microsoft 365 Copilot and Microsoft Teams, including Microsoft Teams Mobile. This integration enables users to access information and complete tasks while leveraging the strengths of both ecosystems.

Customers can now chat directly with Joule in Microsoft Teams, use Joule in Microsoft Teams and Microsoft Teams Mobile as an app, and ask Joule questions directly in Microsoft 365 Copilot. The integration of Joule and Microsoft 365 Copilot provides a unified AI experience across 麻豆原创 and Microsoft environments. The integration will increase employee productivity, reduce information silos, and streamline workflows, ultimately leading to improved operational efficiency and data-driven decision-making across the organization. Later this year, we鈥檒l launch the second half of the integration, bringing Microsoft 365 Copilot capabilities into Joule and 麻豆原创 applications. Business users will be able to access data from Microsoft Teams, Outlook, OneDrive, and SharePoint — all from within Joule.

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Analytical insights feature
Generally available

Joule’s analytical insights feature delivers tailored, on-demand decision support directly within any 麻豆原创 business application workflow. Business users can ask Joule natural language questions such as “Who were the top three sales managers last month?” or 鈥淲hat is the amount of sales commission this month?鈥� and get immediate, context-rich insights, enabling them to make more informed decisions faster without needing to access 麻豆原创 Analytics Cloud dashboards directly. This results in an 80 percent reduction in steps to get analytical insights and a seamless user experience.*

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麻豆原创 Business AI for supply chain

Joule with 麻豆原创 Digital Manufacturing
Generally available

Production engineers face a common challenge: the need for instant access to key information without navigating through lengthy help content or documentation. Joule with 麻豆原创 Digital Manufacturing addresses this directly by providing an intuitive, natural language conversational search. It interprets queries and instantly retrieves relevant, summarized information from the application’s help content.

This streamlined access to critical knowledge translates to a significant business value, including a 30 percent reduction in the time required to gain insights in digital manufacturing, boosting productivity.*

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麻豆原创 Digital Manufacturing, AI-assisted production engineering
Beta release

麻豆原创 Digital Manufacturing offers an AI-powered production engineering feature tailored to product engineers who need to manage production processes efficiently. This feature empowers users to analyze error logs with AI assistance, automatically identifying root causes and generating resolution instructions. Furthermore, it allows engineers to extend processes through script tasks created from natural language input.

By streamlining error analysis and script creation, this feature delivers up to a 25 percent reduction in error analysis time for production process errors and a one percent reduction in non-productive time.*

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麻豆原创 Integrated Business Planning, add-in for Microsoft Excel, AI-assisted planning
麻豆原创 Early Adopter Care release

Supply chain planners can now significantly enhance workflow efficiency with the 麻豆原创 Integrated Business Planning (麻豆原创 IBP) add-in for Microsoft Excel. Utilizing AI-assisted planning, users can generate 麻豆原创 IBP formulas through natural language input, eliminating the need for in-depth technical knowledge of functions and parameters. This intuitive functionality allows for the seamless integration of custom calculations within planning views.

The resulting business value is a demonstrable 10 percent improvement in supply chain planner productivity when updating key figures and attributes via the Excel add-in.*

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Field Service Dispatcher Agent
Beta release

The new Field Service Dispatcher Agent enables dispatchers to efficiently plan and optimize service orders by leveraging real-time data, technician availability, and intelligent recommendations. It proposes the right technician for the right job at the optimal time and location, reducing manual effort and decision fatigue. Each proposal is verified by a dispatcher, maintaining human oversight while streamlining operations. This “human-in-the-loop” approach helps ensure both precision and trust.

This agent boosts dispatcher productivity by reducing manual tasks, minimizing errors, and enabling faster, more efficient decision-making. It also optimizes resource allocation by analyzing real-time data, reducing misallocations, and ensuring the right resources are assigned to the right jobs.

Dispatchers can expect to increase their productivity by up to 50 percent and reduce erroneous technician assignments by up to eight percent.*

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Maintenance Planner Agent
Beta release

Maintenance planners can efficiently manage and prioritize a growing list of maintenance tasks while ensuring equipment reliability and minimizing downtime. Collaborating with the maintenance planner, the Maintenance Planner Agent continuously analyzes real-time data and suggests maintenance schedule adjustments, reprioritizing tasks and improving asset health.

It helps maintenance planners create and streamline maintenance event backlogs faster and more efficiently, reducing downtime by quickly identifying and addressing maintenance issues.

Maintenance planners can expect to increase their productivity by up to 40 percent* and reduce unplanned downtime by up to one percent.*

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麻豆原创 Business AI for finance and spend

麻豆原创 Document and Reporting Compliance, AI-assisted electronic document error handling
Generally available

Tax accountants encountering challenges with the growing complexities of e-invoicing can benefit from Joule with 麻豆原创 Document and Reporting Compliance. This solution translates intricate electronic document errors into easily understandable natural language, eliminating the need to navigate technical jargon. This allows for quick identification and efficient resolution of underlying issues, minimizing disruptions and potential penalties.

The demonstrated business value is an up to 80 percent reduction in the time spent on understanding error specifics and determining the root cause, driving significant gains in efficiency and compliance.*

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Joule with 麻豆原创 S/4HANA Cloud Public Edition product enhancements
Generally available

Joule is now more powerful than ever in 麻豆原创 S/4HANA Cloud Public Edition, providing greater efficiency and control over key business processes. In addition to viewing business data for Work Centers and Resources, business users can now monitor sales order fulfillment proactively. By flagging potential issues and providing remediation suggestions, Joule helps users keep orders on track.

Furthermore, Joule allows users to create fixed asset master data directly within the 麻豆原创 S/4HANA Cloud Public Edition, reducing time for large-scale training and supporting greater accuracy and better data governance.

Additionally, Joule can help pricing specialists better handle expiring prices by suggesting new adjusted prices, reducing the time and cost of expiring price detection and new price creation by up to 90 percent.*

For detailed information on the latest enhancements, .

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Joule with 麻豆原创 S/4HANA Cloud Private Edition product enhancements
Generally available

Joule with 麻豆原创 S/4HANA Cloud Private Edition is getting new capabilities across several business functions. Field logistics users can now directly fetch quantities for non-stock items. Furthermore, Joule now unlocks comprehensive cash management capabilities, including monitoring bank statements and initiating transfers. Users working on convergent invoicing can now manage key processes directly, including assigning processors to clarification cases and controlling print locks on invoicing documents.

Joule also enables shipping specialists to fetch details of outbound deliveries and show detailed information, such as picking statuses or ship-to parties for outbound deliveries and sales orders, without the need to find and open the relevant apps. For example, Joule can show all outbound deliveries with goods not yet fully picked or all sales orders due to be delivered, enabling faster issue resolution and improved fulfillment tracking.

And that鈥檚 not all. With the help of Joule, sales representatives can now efficiently extract key contract details, track historical changes, analyze critical KPIs, and rectify errors. This enables deep analysis and swift resolution of sales negotiations, enhancing renewal and upsell opportunities. Additionally, Joule simplifies contract inquiries, boosting customer satisfaction. Sales representatives can expect to reduce the time spent summarizing subscription contract data by up to 80 percent.*

For additional information on these enhancements,

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Accounts Receivable Agent
Beta release

Accounts receivable accountants now have support for processing data related to overdue receivables. The Accounts Receivable Agent can find overdue receivables from different applications and perform appropriate follow-up tasks with customers based on their profiles and payment histories.

Using this Joule Agent, customers can expect to reduce the days sales outstanding (DSO) by up to one percent, the uncollectible write-offs by up to two percent, and the effort analyzing and reconciling open accounts receivable (AR) items by up to 75 percent.*

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Meeting Location Planner Agent
Beta release

Meeting planners can simplify and accelerate off-site event planning with Meeting Location Planner Agent. It suggests locations that minimize travel time for attendees, recommends an event location based on a company鈥檚 office, suggests suitable hotels, offers a comprehensive overview of the total pricing for the offsite, and provides an email template with a deep link for attendees to book their trip. Ultimately, this enables users to plan within their budget.

Automating information gathering and coordination streamlines planning and boosts productivity. It empowers more informed choices to control expenses while meeting event goals and improves the attendee experience with seamless communication and clear booking instructions.

This yields up to a 10 percent cost avoidance for planned meetings and a 15 percent reduction in the time required to plan offsites, improving the process of sharing information with all attendees.*

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Expense Report Validation Agent
麻豆原创 Early Adopter Care release

Expense managers can streamline the expense reporting process with Expense Report Validation Agent. It proactively flags issues and guides users through corrections to minimize delays caused by rejected or returned reports. It improves the user experience by assisting in completing and submitting expense reports, reducing errors, and ensuring all necessary details are included by prompting users for needed information.

This leads to a 30 percent reduction in the time spent preparing and submitting expense reports and a 24 percent increase in first-pass expense reports, improving the overall user experience.*

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麻豆原创 Business AI for human resources

麻豆原创 SuccessFactors solutions, AI-assisted bulk translation
Generally available

System administrators seeking to enhance employee engagement and support compliance can utilize bulk translation within 麻豆原创 SuccessFactors solutions. This tool instantly translates preset page content into multiple languages and features an intuitive edit UI for reviewing translations. The resulting benefits include a simplified translation process, which saves time and costs compared to manual methods, improved translation quality and consistency, and enhanced employee engagement through localized content.

System administrators can reduce the cost of translating customer-specific objects鈥� during system localization by up to 90 percent.*

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麻豆原创 SuccessFactors Learning, AI-assisted image generation for learning
Generally available

Learning administrators using 麻豆原创 SuccessFactors Learning can now benefit from AI-assisted image generation to create more engaging content without relying on external image sourcing. This tool allows for the quick and easy generation of images for custom cards, banners, items, programs, and curricula by simply entering a description. The key benefits are significantly reducing time spent searching for images, enabling faster content creation, and ultimately enhancing the overall learning experience for administrators and users.

Learning designers can expect to reduce their time spent on generating learning images by up to 70 percent, and learning administrators can reduce external spend on stock imagery by up to 90 percent.*

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麻豆原创 SuccessFactors Performance & Goals, AI-assisted sentiment analysis in 360 reviews
Generally available

HR professionals and managers can now utilize sentiment analysis in 360 reviews to gain deeper insights into employee performance with 麻豆原创 SuccessFactors Performance & Goals. This feature analyzes the sentiment behind rater feedback on 360 review forms, providing a clear understanding of an employee’s attitude towards skills and competencies.

The resulting benefits are time savings through a quicker grasp of performance narratives, data-driven decision-making to improve employee performance, and an intuitive way to identify employee strengths and growth opportunities.

This feature is expected to reduce by up to 30 percent the proportion of voluntary turnover that can be attributed to unclear sentiments behind 360掳 feedback.*

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麻豆原创 SuccessFactors Performance & Goals, AI-assisted team goals
Generally available

Team leaders and managers using 麻豆原创 SuccessFactors Performance & Goals can now leverage AI to efficiently build meaningful and inspiring team goals. The system generates well-structured goals that align with organizational standards by describing desired team achievements. Users can review, edit, and regenerate content as needed.

The feature creates high-quality, aligned team goals and shifts focus from ideation and drafting to achieving results.

Managers can reduce the time allocated to creating team goals by up to 65 percent.*

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麻豆原创 SuccessFactors Performance & Goals, AI-assisted performance insights
Generally available

Managers can now utilize performance insights to comprehensively understand employee performance based on feedback received from 麻豆原创 SuccessFactors Performance & Goals. This feature generates a summary and synthesis of qualitative feedback from a given performance year, allowing managers to visualize and understand employee performance more effectively.

The benefits are improved efficiency in completing performance forms and preparing for one-on-one meetings, connecting qualitative feedback and achievement data with quantitative ratings, and expanded information for leading performance management within the team.

Managers can reduce by up to 70 percent the time spent preparing their direct reports鈥� performance histories for respective review discussions.*

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麻豆原创 SuccessFactors Succession & Development, AI-assisted successor insights
Generally available

Succession planners and people managers using 麻豆原创 SuccessFactors Succession & Development can now leverage successor insights to streamline and enhance succession planning. Users gain valuable insights into potential successors directly from the position card, including role alignment, performance, key achievements, strengths, and development areas.

The benefits are readily available and relevant insights to guide succession planning decisions, a shift in focus from data digging to strategic workforce management, and the ability to define targeted career growth and skill development to build a broader bench of qualified candidates for key positions.

Both successor planners and managers can expect to reduce the time spent on succession planning by up to 20 percent through automated insights into candidate profiles and succession data management.*

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麻豆原创 SuccessFactors Recruiting, AI-assisted interview feedback insights
Generally available

Recruiters and hiring managers can now leverage AI-powered interview feedback insights to streamline candidate evaluation. The system provides a comprehensive evaluation of candidates by incorporating assessments of skills and competencies, overall comments, notes, skill-specific feedback, and the final recommendation, all generated from interviewer feedback. Recruiters can generate, view, and regenerate these insights as needed, ensuring the latest feedback is reflected.

This improves efficiency in reviewing candidate feedback, eliminates the manual effort of creating summaries, facilitates the easy identification of consensus or concerns across the interview team, and allows for the regeneration of summaries as additional feedback becomes available.

Recruiters can reduce by up to 70 percent the time spent on summarizing interviewer feedback per interviewed candidate.*

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麻豆原创 SuccessFactors solutions, AI-assisted extended AI locales
Generally available

HR leaders aiming to support a global workforce can leverage extended AI locales within 麻豆原创 SuccessFactors solutions to expand language coverage. Managed by system administrators, this feature enables the creation, review, and management of AI-translated locales through a UI and built-in workflow, ensuring human-reviewed and customized translations.

System administrators can reduce up to 90 percent the cost of managing AI-translated locales for customer-specific objects during system localization, while reducing compliance risk.*

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Joule with 麻豆原创 SuccessFactors Mobile
Generally available

麻豆原创 SuccessFactors users can now use Joule with 麻豆原创 SuccessFactors Mobile apps to manage daily tasks more intuitively and efficiently. Joule allows employees to independently resolve issues and reduces the time spent searching for information. It empowers managers to make data-driven decisions, supporting better team performance and growth.

On iPhones and iPads, users can ask Siri to open Joule and use it to answer their questions. For example, mobile users can say, “Hey Siri, ask Joule with 麻豆原创 SuccessFactors” to start the interaction with Joule via Siri.

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麻豆原创 SuccessFactors Employee Central, AI-assisted explain pay
Generally available

麻豆原创 SuccessFactors Employee Central Payroll lets employees utilize the “explain pay” feature with the help of Joule to instantly answer their questions about pay changes and details. This AI-driven functionality provides immediate explanations, significantly reducing payroll help desk tickets and boosting employee satisfaction.

HR departments can expect a 50 percent reduction in pay statement-related HR tickets, and employees can benefit from zero lead time for getting a qualified answer.*

and watch it in action in the 麻豆原创 SuccessFactors H1 2025 release highlights video:

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Performance and Goals Agent
Beta release

The new Performance and Goals Agent in 麻豆原创 SuccessFactors automates data collection, generates personalized talking points for managers, and suggests actionable next steps like producing meeting notes in continuous performance management, scheduling 1:1s, requesting feedback, and more.鈥� It ensures managers are equipped with relevant insights and reduces time spent on manual prep work.

For instance, the agent can alert managers that they have a performance review with one of their employees coming up, but do not have any peer feedback. The agent can work on their behalf to collect feedback from their employees鈥� peers, summarize that feedback, and prepare them before the conversation.

The Performance and Goals Agent simplifies complex HR processes such as performance reviews and compensation planning, reduces the administrative burden, and creates and executes actionable plans with the correct information and data.

It reduces by up to 50 percent鈥� the manager鈥檚 time in preparation for performance discussions, by up to 80 percent鈥� the manager鈥檚 time on following up on performance discussions, and by up to 30 percent鈥� the voluntary turnover that can be attributed to poor performance discussions.*

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麻豆原创 Business AI for customer experience

麻豆原创 Service Cloud Version 2, AI-assisted entity extraction鈥�
Generally available

Contact center agents frequently face the challenge of manually sifting through unstructured text in emails and documents to extract vital information. The new entity extraction feature in 麻豆原创 Service Cloud Version 2 automatically identifies and extracts relevant ID patterns, such as product IDs and serial numbers, converting unstructured text into structured data.

This reduces manual effort, enabling faster case processing and resolution. This leads to a 50 percent increase in service staff productivity and a 30 percent reduction in repeat cases, ultimately improving customer satisfaction.*

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麻豆原创 Service Cloud Version 2, AI-assisted registered product summary
Generally available

Customer service representatives often spend excessive time gathering information about registered products when handling support cases. With 麻豆原创 Service Cloud Version 2, we introduce a new AI feature that generates comprehensive summaries for registered products, including an “about registered product” section and a summary of related cases.

This functionality significantly reduces the time spent on information gathering, enabling faster issue resolution and ultimately improving the overall customer experience. Service staff productivity is expected to improve by up to 25 percent, and the first-call resolution rate is expected to increase by up to 15 percent.*

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麻豆原创 Sales Cloud Version 2, AI-assisted sales order summary
Generally available

Sales managers can now quickly understand all key aspects of a sales order with the AI-assisted sales order summary. They gain immediate insights into pricing fluctuations such as increases or decreases with percentage changes, on-time delivery status, the quantity of free products offered, and instances of product substitution.

This automation eliminates manual data analysis, leading to a saving of 90 percent of the time spent on pricing simulation assessments, and empowering faster, more effective decision-making.*

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麻豆原创 CX AI Toolkit
Shopping Agent
Generally available

Digital operation managers and e-commerce platforms require intelligent tools to enhance customer engagement. The Shopping Agent, a key component of the 麻豆原创 CX AI Toolkit, leverages cutting-edge AI to transform online interactions into natural, conversational experiences. It allows customers to articulate their needs and receive personalized product recommendations. The agent facilitates informed purchasing decisions by understanding context and accessing real-time product information.

The agent increases operational efficiency, improves customer service, and provides a scalable solution for enhancing the shopping experience across diverse product catalogs, driving long-term growth and customer satisfaction.

Digital operation managers can expect an increase in online conversion rate by up to 10 percent, an increase in average order value by up to 10 percent, and an increase in repeat purchases by up to five percent.*

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麻豆原创 CX AI Toolkit
Custom AI agents
Generally available

Customer-facing teams can enhance their efficiency with custom AI agents. These customizable agents empower businesses to configure and deploy specialized AI agents within 麻豆原创 Sales and Service Cloud, automating complex tasks without custom coding. The agents streamline workflows by intelligently classifying cases, proactively capturing knowledge from resolved cases, and providing quick access to comprehensive organizational knowledge.

Customers can access the Quote Creation Agent, Q&A Agent, Classification Agent, Knowledge Base Article Agent, and Digital Service Agent, which are all generally available.

Organizations can experience up to a 50 percent increase in productivity for tasks managed by AI agents within sales and service functions, resulting in improved operational performance.*

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Joule with 麻豆原创 Enterprise Service Management and 麻豆原创 Service Cloud Version 2
麻豆原创 Early Adopter Care release

Service agents can now leverage Joule with 麻豆原创 Service Cloud Version 2 and 麻豆原创 Enterprise Service Management to get customer, supplier, and employee information at their fingertips.

Service agents can ask Joule to create tickets, access cases created, view case details, update case priority and status, and much more.

This integration helps increase productivity by allowing users to access and navigate directly to needed information. It also improves the overall customer experience by responding to queries more quickly.

Register for and .

麻豆原创 Emarsys, AI-assisted product finder
Beta release

Marketers often struggle to incorporate the right products into e-mail campaigns quickly. 麻豆原创 Emarsys, AI-assisted product finder, streamlines this process by enabling intuitive keyword and natural language search. This helps marketers instantly locate relevant products within their catalog. The feature further automates the mapping of product fields to email content blocks, eliminating manual setup.

This empowers marketers to boost campaign speed and flexibility and focus on creating engaging content, improving efficiency, and potentially increasing sales conversion rates.

Marketing managers are expected to see a reduction in time spent manually inserting products into email by up to 60 percent and an increase in campaign speed from template creation to launch by up to 30 percent.*

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麻豆原创 Business AI for procurement

Joule with 麻豆原创 Fieldglass solutions
Generally available

Managers can leverage Joule with 麻豆原创 Fieldglass solutions to effortlessly manage key tasks such as viewing, navigating, searching, approving, and organizing activities. These capabilities are included in timesheets, work orders, and job postings — all within a unified experience.

Joule helps managers find the right templates quickly, such as hiring or services procurement templates, improving efficiency in their document creation. Users get insights into company data by finding applicable reports and seeing valuable KPI trends more easily. Alternatively, they can simply ask questions about a feature. Joule will search 麻豆原创 Help Portal documentation to retrieve the correct information without the user needing to navigate away from the current task.

Managers can expect an improved employee productivity through task completion by up to 50 to 70 percent, with less time spent on finding and editing the right hiring templates, statement of work (SOW) description, shorter interview time, and an easier way to access, create, and modify reports.*

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麻豆原创 Fieldglass Contingent Workforce Management, AI-assisted skill-based job posting
Generally available

Hiring managers can spend a lot of time crafting detailed job descriptions to find the right workers. Now, AI-assisted skill-based job postings in 麻豆原创 Fieldglass Contingent Workforce Management allow managers to focus on key skills rather than full role descriptions. The feature suggests relevant skills from a custom library, facilitating faster and smarter talent matching.

This results in a 50 percent reduction in the time required to define and match skills for a job posting, a 15 to 25 percent increase in productivity, and a 40 percent reduction in worker ramp-up time, ultimately leading to more efficient and effective contingent workforce management.*

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麻豆原创 Ariba Category Management, AI-assisted strategy summarizer
Generally available

Category managers can use the AI-assisted strategy summarizer within 麻豆原创 Ariba to generate concise summaries of category strategy documents, quickly understanding key insights without extensive manual review. The refined summaries can then be sent for approval and regenerated when needed, reducing the time required to review and approve completed category strategy documents by 50 percent*.

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Sourcing Agent
Beta release

Sourcing managers can now automate sourcing events and make real-time updates to match the speed of business. The Sourcing Agent can reason through sourcing event requests, past event data, and supplier information to create tailored events autonomously. Sourcing managers can now create and adapt events in real time and automate smart updates, enabling faster, better-informed purchasing decisions and more agile responses to supply chain disruptions and shifting business conditions.

The Sourcing Agent streamlines procurement by automating RFP creation, ensuring consistency, and reducing manual effort. Sourcing managers gain intelligent recommendations for event duration, questions, items, and suppliers 鈥� and can reduce the time to create an RFP by up to 70 percent.*

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麻豆原创 Business AI for IT and developers

Joule Studio in 麻豆原创 Build
Skill builder
Generally available

Organizations aiming to optimize automation and efficiency across 麻豆原创 and non-麻豆原创 systems can use Joule Studio, a capability within 麻豆原创 Build, to create and deploy Joule skills tailored to their specific business needs. Developers can now build Joule skills for rule-based tasks.

Key benefits include deep grounding in business-specific data and processes for reliable outcomes, an open and extensible framework for seamless connectivity, and built-in security and compliance for centralized management and data privacy.

With skill builder, business users experience a reduction of the time spent on frequent business tasks by up to 25 percent. Developers can reduce the time spent to deploy custom Joule skills by up to 10 percent.*

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Generative AI hub prompt optimizer
Preview

麻豆原创 is paving the way for a multi-model AI future by introducing prompt optimizer, a capability of generative AI hub in AI Foundation. This groundbreaking technology eliminates vendor lock-in by automating prompt optimization when switching between AI models. Automatically converting existing prompts into optimized prompts for various models using public benchmarks drastically reduces the time required to migrate use cases from days to minutes. Organizations can now seamlessly adopt new, more cost-effective, geographically available models without lengthy and expensive re-engineering.

, with general availability expected later this year. This offers greater flexibility in building AI solutions.

Generative AI hub product enhancements
Generally available

The generative AI hub now offers access to , enabling application developers to explore which model works best for their custom AI use case.

Application developers can also easily manage the life cycle of their prompts from design to runtime using , reducing the complexity of dealing with prompt templates and leveraging integration capabilities.

In addition, new models are available as part of the generative AI hub, including Google Gemini 2.5 Pro and Flash, OpenAI GPT, o3, o4-mini, 4.1, 4.1-mini, 4.1-nano, and Mistral Small 3.1, Anthropic Claude Opus 4, and Sonnet 4, and NVIDIA Llama 3.2 nv embedqa 1b.

Finally, a translation module has been added to the orchestration feature, improving answer quality when the configured model performs better when input is provided in a specific language. It can be configured for and text.

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麻豆原创 Document AI product enhancements
Generally available

麻豆原创 Document AI, formerly Document Information Extraction, seamlessly processes, extracts, and understands structured and unstructured data from business documents while automating document processing. It significantly reduces manual efforts and minimizes errors.

The service is now available in new regions across major cloud providers: Amazon Web Services (Sao Paulo, Brazil), Google Cloud Platform (Mumbai, India), and Microsoft Azure (Singapore). This expansion aims to provide lower latency, better scalability, and enhanced global reach for businesses utilizing the service. The goal is to improve user experience and satisfaction by offering faster and more reliable AI-powered document processing.

Moreover, the premium edition of 麻豆原创 Document AI now supports a greatly expanded list of languages, including various dialects and regional languages, such as Ido, Ladino, Fijian, Wu Chinese, and many more. This enhanced language support enables businesses to broaden their global reach, improve inclusivity, and increase the efficiency and accuracy of their document processing workflows across diverse linguistic landscapes.

Finally, file filtering capabilities in 麻豆原创 Document AI are now available, allowing AI agents to process only relevant document pages, for example. This feature streamlines processing, saves time by reducing the scope of analysis, and adds flexibility for task-specific document handling, which is especially beneficial for long or complex documents.

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and start with to access cutting-edge generative AI features in 麻豆原创 Document AI, such as instant learning.

麻豆原创 HANA Cloud product enhancements
Generally available

Developers building custom AI applications on 麻豆原创 Business Technology Platform (麻豆原创 BTP) can now benefit from new capabilities that are included in the latest release of the 麻豆原创 HANA Cloud: 

• Leveraging improved vector similarity search scenarios, based on the new in-database text embedding model version, covering more languages and short-text embedding scenarios
• Getting insights from text data stored in 麻豆原创 HANA Cloud via text embedding features as input to Predictive Analysis Library (PAL), AutoML classification and regression models, and k-nearest neighbors鈥� models
• Explaining tabular data outliers using enhanced isolation forest outlier detection and SHapley exPlanations, for example, applied to financial accounting data in the universal journal
• Managing machine learning model development, documentation, and reproducibility, using new experiment tracking and task scheduling capabilities for PAL models
• Detecting data drift using the new Automated Predictive Library (APL) functions to detect unexpected, suspicious, or fraudulent transactions, and simply trigger the required retraining of machine learning models

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The complete enhancements are available on the and . Check out how enterprises need to rethink their database for AI workloads, and how 麻豆原创 HANA Cloud is leading that shift, here.

麻豆原创 Build Code
麻豆原创 HANA Cloud text to SQL generation
Generally available

The AI-assisted database application development SQL console has been updated to support the generation of standard SQL statements for public monitoring views and custom data models from a customer 麻豆原创 HANA Cloud instance.

During SQL statement generation, the prompt and suitable additional information from the database object metadata and 麻豆原创 HANA Cloud documentation are sent to the large language model (LLM). With this context, the LLM can generate syntactically valid SQL statements that can be executed on 麻豆原创 HANA Cloud. This enhancement personalizes query generation, improves flexibility, and increases efficiency.

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麻豆原创 Build Code
麻豆原创 HANA application migration assistant
Generally available

The new extension, 麻豆原创 HANA application migration assistant is based on Joule and is now available in 麻豆原创 Build Code. This enhanced tool extends the capabilities of the existing database migration assistant by automating the conversion of the service layer that includes XSJSLIB, XSODATA, and XSJS artifacts from or into modern CAP-based services, aligning with .

Using generative AI, it simplifies service layer migration when customers choose “XS Classic to CAP” or “XS Advanced to CAP” templates. This feature eases migration of applications from 麻豆原创 HANA extended application services to CAP.

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Joule with 麻豆原创 Business Accelerator Hub
Generally available

With 麻豆原创 Business Accelerator Hub, developers can explore, discover, and consume APIs, pre-packaged integrations, business services, and sample apps.

In Q2, we released Joule with 麻豆原创 Business Accelerator Hub to help them discover pre-built business accelerators using natural language. With Joule, they can expect to reduce the time needed to access the 麻豆原创 Business Accelerator Hub content by up to 40 percent.*

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Joule with 麻豆原创 Datasphere
麻豆原创 Early Adopter Care release

Data architects and data engineers can leverage Joule with 麻豆原创 Datasphere to quickly learn how to use specific 麻豆原创 Datasphere functionalities and receive answers with references to product documentation. They can also ask Joule for specific information about their 麻豆原创 Datasphere instance or delegate tasks like switching to the system language.

This integration reduces reliance on internal IT for product-related questions and enables faster navigation within 麻豆原创 Datasphere.

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麻豆原创 Business AI for industries

麻豆原创 Cell and Gene Therapy Orchestration, AI-assisted exception management
Beta release

Cell and gene therapy supply chain managers will get unparalleled visibility and control with 麻豆原创 Cell and Gene Therapy Orchestration, enhanced with AI-assisted exception management. When unexpected delays or disruptions occur during the patient-specific manufacturing and delivery process, the AI-powered control tower detects these anomalies and proactively alerts the appropriate personnel.

This feature helps supply chain managers identify exceptions and support resolution and rescheduling to maximize patient access and minimize costs. It optimizes manufacturing for optimal capacity utilization, higher revenue, reduced material waste, and improved user experience to benefit patients and healthcare providers.

Supply chain managers can expect to increase their productivity by up to 60 percent* by handling exceptions.

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Philipp Herzig is CTO, chief AI officer, and a member of the Extended Board of 麻豆原创 SE.

*Disclaimer: This article provides estimated benefits. All calculations are estimates based on 麻豆原创 customer case studies, 麻豆原创 benchmarks, and other research. Actual benefits may vary and may be affected by additional factors not considered by this article. The information is provided 鈥渁s is鈥� without warranty of any kind, express or implied, and in no event shall 麻豆原创 be liable for any damages whatsoever in relation with the use of this article. See Legal Notice on for use terms, disclaimers, disclosures, or restrictions related to this material.

It鈥檚 time to rethink what a modern AI-ready database should look like.

麻豆原创 HANA Cloud solves this exact challenge with its single, multi-model platform that brings together vector, graph, text, spatial, and relational data natively. It enables developers and data teams to build smarter, more context-aware AI solutions 鈥� directly on operational data.

One database, every model: native support for complex AI workloads

麻豆原创 HANA Cloud uniquely supports:

• Vector data for semantic and similarity search
• Graph data for explicit relationship modeling and knowledge graphs
• Text and spatial data for real-world context
• Relational data for structured operations and analytics

Rather than sending data across disparate services, you can store and process all of it in one place, accelerating time-to-value while reducing the risk of misalignment.

This is multi-model done right, and it is the foundation for powerful AI workloads that scale.

Semantics + similarity: combining vector search with knowledge graphs

Traditional semantic search engines can tell you what documents are similar, but they cannot tell you why. On the other hand, knowledge graphs can express rich, explicit relationships, but often lack the ease of retrieval.

With 麻豆原创 HANA Cloud, you don鈥檛 have to choose; you get both. Bringing together 麻豆原创 HANA Cloud vector engine and 麻豆原创 HANA Cloud knowledge graph engine empowers developers to build context-aware, intelligent queries that go far beyond keyword matching.

Imagine asking: 鈥淔ind the nearest warehouse in Germany (~ 50 km radius of Frankfurt) for suppliers that are ISO 9001 certified, have low carbon tax rates, and are not flagged for customs delays.鈥�

We can conduct a multi-model query to find the warehouses that fit the above criteria.

Here, we are using a SPARQL table within 麻豆原创 HANA knowledge graph engine to filter the suppliers that comply to the following conditions: ISO 9001 certified, low carbon tax rates, not flagged for customs delays.

We can further combine the SPARQL_EXECUTE function in 麻豆原创 HANA knowledge graph engine with vector-based semantic filtering and spatial constraints to identify suppliers that are located within “~ 50 km of Frankfurt” and whose past custom report narratives align with 鈥渘o custom delays.鈥� This hybrid query leverages 麻豆原创 HANA Cloud vector engine, 麻豆原创 HANA Cloud knowledge graph engine, and spatial engine to rank nearby suppliers not only by distance, but also by their trustworthiness and performance signals.

After running these queries, we have the following supplier warehouses as our best match:

This is the power of semantics plus structure, and it is built into the core of 麻豆原创 HANA Cloud.

Unified queries: SQL, SPARQL, and vector search side by side

Developers must often stitch together multiple tools and languages: SQL for relational data, SPARQL for RDF, and separate APIs for vector stores.

麻豆原创 HANA Cloud removes that complexity. You can write a single SQL query that brings together relational data, semantic reasoning via SPARQL (embedded in SQL), and vector similarity search, using native SQL functions 鈥� all in one go: no ETL, no separate infrastructure, just one unified, in-memory engine.

This approach not only speeds up development, but enables new types of AI applications that were not previously practical in siloed environments.

Built for generative AI and RAG: GraphRAG, VectorRAG, HybridRAG

Large language models (LLMs) are only as good as the data they can reason over. That is why retrieval-augmented generation (RAG) has emerged as a critical pattern for enterprise generative AI.

We have brought in new capabilities into 麻豆原创 HANA Cloud, whether you are grounding an LLM in unstructured text (VectorRAG), structured knowledge graphs (GraphRAG), or both simultaneously (combination of VectorRAG and GraphRAG).

麻豆原创 HANA Cloud ensures transparency, traceability, and performance throughout the generative AI pipeline with all the database management qualities. You get explainable answers and full control over how you retrieve, rank, and assemble information, which is vital for regulated industries.

Real-world impact across industries

Enterprises across industries are already leveraging the multi-model capabilities of 麻豆原创 HANA Cloud for transformative outcomes:

• Supplier matching and environmental, social, and governance (ESG) scoring: Blend structured supplier data with document similarity and relationship insights to identify ideal partners
• Compliance monitoring: Connect and query policies, regulations, and audit trails with natural, semantic inputs
• Fraud detection: Analyze transactional data, behavioral signals, and known fraud patterns 鈥� all in real time
• Life sciences research: Integrate clinical trials, publications, and patient outcomes using hybrid semantic and structured queries

These are use cases where meaning is distributed across formats, systems, and relationships.

Developer experience: simplicity without compromise

麻豆原创 HANA Cloud offers developers:

• One platform for all data models: Combined structured, unstructured, and semantic data without stitching together multiple systems
• Built-in support for modern AI workloads: Enable use cases like RAG without external vector stores or pipelines
• Tight integration with 麻豆原创 and open ecosystems: Leverage 麻豆原创 Business Technology Platform and popular open-source tools with minimal setup
• Focus on innovation, not infrastructure: Eliminate the need to manage and maintain separate triplestores, search engines, or vector databases

The result is faster prototyping, cleaner architecture, and lower operational complexity.

Conclusion: It鈥檚 time to rethink your database

In the AI-first enterprise, data is not just a backend concern; it鈥檚 the front line of innovation. And innovation requires infrastructure that is flexible, intelligent, and unified.

麻豆原创 HANA Cloud provides building blocks to create the infrastructure for AI apps in a way that is easy to consume. It doesn鈥檛 just support AI workloads; it accelerates them, with a single platform that brings together semantics, similarity, and structure in real time.

AI needs more than just access to data and 麻豆原创 HANA Cloud delivers that, natively.

Key takeaways

• Unified multi-model: Vector, graph, spatial, text, and relational data all in one platform
• Smart queries: Compose intelligent queries using SQL, SPARQL, and vector search 鈥� side by side
• Generative AI-ready: Built for GraphRAG, VectorRAG, and HybridRAG with full explainability
• Reduced complexity: No need for separate vector stores or knowledge graph engines

Philipp Herzig is CTO, chief AI officer, and a member of the Extended Board of 麻豆原创 SE.
Stefan Baeuerle is senior vice president and head of 麻豆原创 BTP/麻豆原创 HANA & Persistency at 麻豆原创.

Our commitment to innovation drives every initiative we undertake. As a global leader in enterprise software solutions, we are uniquely positioned to deliver AI capabilities tailored to our customers鈥� needs. This dedication is at the heart of our enhanced AI strategy and why we are partnering with NVIDIA to embed NVIDIA NIM microservices, including a new microservice designed to work with a broad range of LLMs, which now supports deploying over 100,000 models into our architecture, enabling customers to harness the power of AI while meeting the specific demands of their local markets and industries.

Local AI from 麻豆原创 can ensure that AI prompts and customer data stay within 麻豆原创-controlled environments, helping to enhance security and ensure compliance with regional regulations. By focusing on local deployment and aligning with NIM microservices, our strategy prioritizes scalability without compromising compliance or security.

鈥淣VIDIA NIM microservices deliver optimized inference performance, portability, and enterprise support for custom models, helping customers accelerate innovation at every stage of the AI development and deployment cycle,鈥� said Kari Briski, vice president, Generative AI Software for Enterprise, NVIDIA. 鈥淲ith NVIDIA NIM microservices on 麻豆原创 Business AI, developers can supercharge AI adoption with local models running on local infrastructure.鈥�

Why highly regulated industries demand a new AI paradigm

Industries like healthcare and public services stand at a crossroads. These are sectors where the stakes are highest鈥攚here AI can revolutionize patient care or streamline essential services鈥攂ut the constraints are equally significant. Data sovereignty laws, compliance obligations, and the need for operational transparency often place these industries in a bind, forcing leaders to choose between accelerating innovation or staying compliant. 麻豆原创 has long understood these challenges and has taken deliberate steps to provide solutions that strike the right balance.

Collaboration as a catalyst for innovation

As part of our ongoing drive to enhance AI adoption, 麻豆原创 has optimized its architecture to leverage some of the most advanced inference technologies available. By collaborating with model innovators such as Aleph Alpha, Meta, and Mistral, alongside our own fine-tuned ABAP model, we aim to deliver a curated selection of trusted AI tools. These models are designed to address multilingual, explainable, and retrieval-augmented generation tasks, working to ensure that enterprises have access to solutions tailored to their unique business challenges. By placing our customers鈥� needs at the forefront, 麻豆原创 can deliver AI systems that are not only more powerful but also deeply embedded in the enterprise ecosystem.

Building AI that鈥檚 market-aware and customer-driven

Enterprise leaders are under growing pressure to translate innovation into measurable outcomes. Our expanded collaboration with NVIDIA aims to address these demands with a focus on:

• Enterprise-grade performance: Leveraging NVIDIA NIM and curated models, fine-tuned by 麻豆原创 for enterprise-grade performance
• Operational flexibility: Supporting local deployment while seamlessly integrating with 麻豆原创鈥檚 technology ecosystem
• Strategic alignment: Addressing the shifting dynamics of AI sovereignty and industrial leadership

What鈥檚 next for enterprise AI?

The road ahead for AI in enterprises is as exciting as it is demanding. Compliance will remain a core concern, but so too will the need for agility and innovation. Through our partnership with NVIDIA, we are not just responding to these demands鈥攚e are anticipating them, building infrastructure and solutions that can empower our customers to stay ahead of the curve.

For businesses ready to embark on this journey, the process starts now.聽Explore how our AI solutions can redefine what鈥檚 possible for your business.

Over the past few years, we have continued to lead the way with groundbreaking advanced AI capabilities for the enterprise.

This year at 麻豆原创 Sapphire, we announced the latest innovations and highlighted the enormous momentum we are seeing with our customers and partners. We have delivered more than 230 AI scenarios.

By the end of 2025, 麻豆原创 Business AI will have more than 400 AI scenarios on top of its 1,600 Joule skills, delivering unparalleled business value to customers. This commitment has already led to 34,000 customers utilizing 麻豆原创 Business AI.

Innovation is at the heart of this growth, which is why 麻豆原创 continues to enhance our generative AI copilot Joule, Joule Agents, and our AI scenarios embedded across the portfolio — all built with AI Foundation on (麻豆原创 BTP), the technical backbone that powers Joule and Joule Agents.

We understand the importance of getting Joule and Joule Agents in the hands of our customers, especially in a competitive landscape where or that .

During 麻豆原创 Sapphire, we announced the latest 麻豆原创 Business AI innovations that make Joule more powerful and accessible. I wanted to share a few innovations below, but I encourage you to dive into all the incredible announcements 麻豆原创 made in the .

Joule: the new UI in the age of AI

Our UI has continuously evolved to meet the needs of 麻豆原创 customers. Now, 麻豆原创 Business AI with Joule and natural language redefines the end user鈥檚 experience.

Joule is solidifying its role as 麻豆原创’s new UI, transforming how customers work and interact with our software through natural language — whether on the web, mobile, or in different languages. This way, the end user can ask questions in natural language, and Joule does the hard work in the system to find information or answer.

Joule is already one click away in every 麻豆原创 application, but we also understand that customers store data across non-麻豆原创 systems, which should not prevent it from helping users. Joule cannot operate in a vacuum if it is going to offer real business value. That is why we are now expanding Joule to any application so that customers can access everything, everywhere, with the help of WalkMe.

Joule is breaking free to become omnipresent and accessible across non-麻豆原创 applications with the 麻豆原创 Joule action bar supercharged by WalkMe. This integration expands Joule’s reach beyond , so it is always right by our customers’ side, giving Joule the “eyes, legs, and arms” to see what customers see.

Joule can follow business users across 麻豆原创 and third-party systems, using context from active applications to connect data, surface insights, and streamline workflows.

No matter where our customers are, if they see information relevant to their business and want to know what it means in the context of 麻豆原创 data, all they need to do is click to get the right context from Joule. This overarching context across multiple applications means Joule can orchestrate workflows and data from any application and website.

Joule is always on and proactive, providing customers with recommendations and proactively letting them know when Joule Agents have completed a task or require feedback. Customers are also empowered to create custom Joule skills for any application. Joule skills can handle repetitive, rule-based tasks, alleviating routine activities like data entry, IT ticket raising, and PO creation. Custom skills can execute these tasks based on natural language conversations with users that are triggered contextually and through user intent. This simple access through Joule only further democratizes access to AI and 麻豆原创.

Answer engine with Perplexity

If Joule is everywhere, it should also be capable of answering everything. Joule already provides answers across our customers’ structured and unstructured data, from procurement or travel activities to policies.

At 麻豆原创 Sapphire, we elevated Joule again with help from 麻豆原创 Business Data Cloud and 麻豆原创 Knowledge Graph, and a new collaboration with , an industry-leading company in the field of unstructured data.

麻豆原创 and Perplexity, an AI-powered answer engine that provides accurate, trusted, and real-time answers to any question, are collaborating to extend 麻豆原创’s generative AI and search capabilities by bringing together the best of both worlds in unstructured and structured data. By integrating Perplexity’s ability to address questions accurately and transparently with 麻豆原创鈥檚 business answer capabilities, we are bringing both worlds together: the power of Joule to answer business questions, and the power of Perplexity to understand what鈥檚 happening in the world.

Together with 麻豆原创 Business Data Cloud, 麻豆原创 Knowledge Graph, and our integration with Perplexity, Joule can now seamlessly combine internal business data with real-world insights. Whether data is structured or unstructured, from systems or the broader web, Joule brings it all together, delivering intelligent answers in real time. .

Joule Agents: reason and act

Insight to action is a key principle of enterprise software. Businesses can access incredible insights by analyzing data, which they can use to arrive at conclusions before making a decision. Joule makes getting these insights through natural language simple. Now, Joule Agents can reason to fulfill the action part of the equation with other agents. This ability marks a paradigm shift in enterprise software that helps customers go from insight to action to reason and act with AI.

Joule Agents can reason and coordinate to autonomously execute tasks through multi-step, self-conceived workflows while always involving a human.

Envision an environmental health and safety agent assessing a new chemical entering a plant: This agent could ensure that inventory is not stored near reactive chemicals and then could consult with HR to verify that staff are qualified before recommending appropriate protective equipment. Additionally, the all-new accruals agent for finance reduces today鈥檚 manual work by 90 percent. This agent learns a customer’s accounting rules and then, using financial data, can propose the right accruals during financial close.

In this sense, as much as Joule is the new UI for AI, Joule Agents are reimagining the business process layer across 麻豆原创 Business Suite in an AI-native way. 

AI agent hub in 麻豆原创 LeanIX

As the number of agents across 麻豆原创 and third-party vendors grows, customers will need a way to discover agents and then govern and control what they do. This is precisely the role of the AI agent hub in 麻豆原创 LeanIX solutions: It offers a governance and control framework to manage all these agents.

Because 麻豆原创 LeanIX already knows our customers’ enterprise landscape, it can map every available AI agent to the business capability or process step it supports. This framework helps customers spot automation gaps and discover new AI agents to fill them. Tracking governance for each agent means customers can, for example, make sure agents meet ethical and compliance standards.

The AI agent hub in 麻豆原创 LeanIX will be generally available in the fourth quarter of 2025.

麻豆原创, NEURA Robotics, and NVIDIA

麻豆原创 announced a collaboration with NEURA Robotics and NVIDIA, unveiling a new era where 麻豆原创 Business AI moves to the physical world.

Through this collaboration, Joule Agents connect enterprise data and processes with NEURA鈥檚 advanced cognitive robots, ranging from mobile autonomous mobile robots (AMRs) to humanoids, empowering businesses to automate real-world tasks such as adaptive manufacturing, autonomous replenishment, compliance monitoring, and predictive maintenance. The Mega NVIDIA Omniverse Blueprint plays a crucial role, enabling enterprises to validate and optimize robotic fleets in digital twins before deploying them on the shop floor or in the warehouse, thus ensuring safety, efficiency, and rapid scaling.

AI Foundation: the AI operating system business AI

We knew from the outset that Joule and Joule Agents needed a strong operating system. That is what 麻豆原创’s on 麻豆原创 BTP, our operating system for AI, now offers customers. AI Foundation gives developers a centralized set of tools to build, extend, and run custom AI solutions and agents at scale, all accessible via one entry point. AI Foundation already had more than 90 capabilities, and at 麻豆原创 Sapphire, we introduced over 60 more, such as AI Agent runtime, a brand-new AI evaluation service.

AI Foundation accelerates AI development by bringing together 麻豆原创 Business AI solutions such as generative AI hub, Joule Studio, 麻豆原创 Document AI, and 麻豆原创 Knowledge Graph. Centralizing and simplifying AI operations also reduces the total cost of ownership.

麻豆原创 Knowledge Graph gives Joule and Joule Agents more accuracy and context. It grounds AI in a customer’s business context and exposes metadata that makes the relationships between information accessible. This way, for example, an agent working on a customer service ticket knows the relationships between products and purchase orders. Initial support for the and solutions is expected to be generally available by the third quarter of 2025.

Other 麻豆原创 Business AI solutions are also getting new enhancements. For example, Joule Studio, which helps developers create custom AI, will get a new skill builder capability to help developers create custom skills for Joule. We are also adding an agent builder capability that allows developers to create custom AI agents using low-code and no-code capabilities. General availability is planned for the third quarter and fourth quarter of 2025, respectively.

AI Foundation offers the latest AI models, including GPT-4.1, Claude 3.7 Sonnet, and, most recently, Gemini 2.5 Pro. Customers can select from a range of self-hosted models on 麻豆原创’s GPU infrastructure, such as Mistral AI, Cohere, or Meta model families for more sovereignty and control. Customers can also pick from best-in-class, industry-specific models created by our partners. One example is Deloitte, which brings its unique finance and tax experience to the AI Foundation with Zora AI.

Deloitte plans to integrate Zora AI with 麻豆原创 Business AI, enabling customers to create intelligent digital workforces powered by agentic AI. Using 麻豆原创 BTP, Zora AI offers a suite of preconfigured agents capable of autonomously performing complex business tasks with precision and speed. When paired with 麻豆原创’s robust enterprise capabilities, and enhanced by the data access in 麻豆原创 Business Data Cloud, Zora AI has the potential to transform how work gets done, helping customers unlock the full value of agentic AI. .

All these models deliver incredible results when the prompts are carefully designed. But herein lies a significant challenge: Once our customers are committed to a specific model, it can be difficult to change, as even subtle model updates can break carefully tuned prompts. That is why we worked hard to eliminate prompt engineering.

Prompt engineering is dead

Prompt engineering is dead; say hi to benchmark engineering. Prompt engineering requires customers to learn how to “talk” to the AI so it can effectively leverage its knowledge and capabilities to meet their specific needs. This process was manual and cost-intensive; above all else, it made it tedious and slow to change models.

I am excited to introduce 麻豆原创’s prompt optimizer, designed collaboratively with , a frontier AI lab renowned for its model-agnostic approach. Prompt optimizer is a capability of the generative AI hub in AI Foundation.

Switching models and optimizing prompts is time-consuming — it can take an organization days to migrate a single use case from one model to another — but it shouldn’t be. We wanted to tackle that challenge because customers need to be able to change models easily. Maybe a new model is better, more cost-effective, or unavailable in your country: Whatever the reason, switching models shouldn’t be difficult.

麻豆原创’s prompt optimizer automates this entire task. Selecting a new model automatically converts all existing prompts into optimized prompts for all the latest models using public benchmarks. This helps reduce the time needed to change models and optimizes them from days to only minutes of background processing.

The prompt optimizer now means 麻豆原创 customers can switch to the best available AI models for their specific use cases when they become available without any costly delays. It lays the groundwork for a multi-model future, where applications are decoupled from specific models and customers can utilize the most suitable model anytime.

We want organizations to seamlessly use AI capabilities without being locked into single-model dependencies, fostering flexibility and innovation in building AI solutions. A limited early access program is now available for , with general availability expected later this year.

麻豆原创 Document AI

These announcements, and many others, made at 麻豆原创 Sapphire in 2025 reaffirm our commitment to continually innovate and listen to feedback to meet our customers’ evolving needs. Take paperwork: Billions of documents are scanned into 麻豆原创 systems yearly. Extracting relevant information from documents manually is costly, error-prone, and inefficient. That is why I am excited to introduce , previously Document Information Extraction, which is natively integrated with 麻豆原创 applications.

麻豆原创 Document AI seamlessly processes, extracts, and understands structured and unstructured data from business documents while automating document processing. 麻豆原创 Document AI significantly reduces manual efforts and minimizes errors. Customers like Serax, a Belgian design brand, already use 麻豆原创 Document AI to reduce manual work by 33 percent.

麻豆原创 Document AI will build upon the well-established Document Information Extraction Base and Premium editions, preserving their proven capabilities while enhancing efficiency. In addition, later in 2025, we plan to introduce the Premium Plus edition to expand the product’s scope, ensuring smooth, out-of-the-box integration across the 麻豆原创 portfolio. For more details, read “.”

We continually strive to innovate our products; the same applies to 麻豆原创 Document AI. That’s why we introduced instant learning to enhance the out-of-the-box accuracy of 麻豆原创 Document AI in the pursuit of reaching 100 percent. Suppose 麻豆原创 Document AI extracts something incorrectly from a document due to improper formatting. In that case, customers simply need to log in and correct the error once for the system to learn and avoid making the same mistake again. Previously, this would have required time-consuming retraining with numerous documents. To see it in action in 麻豆原创 Document AI and 麻豆原创 Cloud ERP, watch .

Additional AI innovations with partners

• Cohere: 麻豆原创 is expanding its partnership with Cohere to bring secure, enterprise-grade generative AI models to the 麻豆原创 ecosystem, starting with Cohere’s  model and extending evaluations with the and models. These models are planned to be available alongside other leading AI models from 麻豆原创 and third parties in the generative AI hub in 麻豆原创 AI Core, with the intent to give customers more choice to build AI-powered solutions that meet their unique business needs.
• Vianai Systems, Inc.: Vianai鈥檚 hila is an innovative generative AI conversational analytics application designed to engage a series of line-of-business executives. It currently focuses on empowering the office of the CFO, enabling direct interrogation of transactional systems. Our collaboration with Vianai centers on exploring how hila could complement established platforms such as Joule and the just ask feature in 麻豆原创 Business Data Cloud by offering greater query precision and accuracy for non-麻豆原创 systems in the future. We are energized by the opportunity to push the boundaries of conversational analytics together. Stay tuned as we continue to uncover the transformative potential of these advancements. .
• AWS: 麻豆原创 and AWS have announced the launch of an AI co-innovation program to help partners create generative applications, providing customers with direct access to innovative solutions that address complex business, logistics, and supply chain challenges. The program includes a fund in the form of AWS and 麻豆原创 technical resources, expertise, and credits to help customers and partners leverage Amazon Bedrock through 麻豆原创 BTP to define, test, and deploy industry-specific generative AI solutions, such as forecasting and planning for severe weather impacts on operations or increasing precision in financial outlooks. The program underscores the companies鈥� shared vision to help customers develop and deploy practical, secure generative AI applications that solve critical business operations challenges. Learn more about the co-innovation here.

AI investments

The externally managed 麻豆原创.iO Fund has made an investment in Nova Intelligence. Nova Intelligence is building end-to-end AI coding agents that can parse and understand legacy custom ABAP 麻豆原创 code to modernize it into cloud-compliant applications. The AI agents iteratively test and refine the generated code until a successful outcome is achieved. Nova Intelligence is developing specialized AI agents to support the transformation of legacy custom code. .

New 麻豆原创 Business AI capabilities as part of the 麻豆原创 Sustainability portfolio

We鈥檙e introducing new AI capabilities in the 麻豆原创 Sustainability portfolio to help customers prepare data, automate processes, and enhance expertise. These innovations streamline environment, health, and safety (EHS) and product compliance processes and optimize risk and cost management while advancing sustainability goals. They will be available in beta in August 2025. New capabilities include:

• AI-assisted permit management in 麻豆原创 S/4HANA for EHS: Automates and simplifies permit handling, extracts key data, and proposes follow-up tasks
• AI-assisted safety observation reporting with Joule in 麻豆原创 S/4HANA for EHS: Enables seamless incident reporting through a conversational interface
• AI-assisted safety instruction generation in 麻豆原创 S/4HANA for EHS: Suggests safety instructions based on risk assessments
• AI-assisted compliance information processing in 麻豆原创 S/4HANA for product compliance: Automates data extraction and mapping from declarations and certificates

These capabilities will be available in the new Joule Premium for Supply Chain Management package, adding to existing AI features like:

• AI-assisted ESG report generation in 麻豆原创 Sustainability Control Tower
• AI-assisted emission factor mapping in 麻豆原创 Sustainability Footprint Management
• AI-assisted declaration image analysis for 麻豆原创 Green Token

Combining existing and new AI features, 麻豆原创 Business AI helps customers reduce costs, lower risks, and drive performance in reporting, carbon management, circularity, and compliance.

麻豆原创 Business AI in 2025

麻豆原创 Sapphire was an exciting time. We have announced many innovations that drive value for our customers; however, the rest of 2025 promises to deliver more. We will continue offering AI scenarios that help our customers, from new Joule Agents to building strong, open partnerships that realize value in this fast-paced AI era.

To learn more about how 麻豆原创 Business AI delivers innovations, watch the , read the , and visit the .

Philipp Herzig is CTO and chief AI officer and a member of the Extended Board of 麻豆原创 SE.

Customers are already doing so much with 麻豆原创 Business AI, from to . In 2025, we will build on these achievements with the same razor-sharp focus: providing our customers with unparalleled business value.

already offers customers a unified experience across our suite鈥檚 end-to-end business processes. Now, as we enter the era of AI agents, Joule will equip customers with agents that genuinely understand their business context and collaborate across all functions. AI agents that alleviate before creating purchase orders or automatically classify and to the right team. These AI agents are impactful because they are grounded in what makes our customers’ businesses unique 鈥� their processes, tools, and data 鈥� thanks to and 麻豆原创 Knowledge Graph.

When it comes to , our customers are just getting started. That鈥檚 because the possibilities are endless with . Customers can create and deploy custom agents that, like our out-of-the-box agents, are uniquely grounded in their business processes and data. We are excited to see how our customers drive business value in 2025 and beyond.

Before diving into the complete updates below, here are some of the highlights from Q1 2025:

• Joule is gaining a host of new capabilities, including support for 11 languages: English, German, French, Spanish, Portuguese, Japanese, Korean, Chinese, Vietnamese, Greek, and Polish. Strict filters are also coming for precise, personalized answers tailored to each user’s context. Joule鈥檚 responses are now streamed for real-time feedback during processing. This eliminates frustrating delays and ensures a smooth, interactive experience, even with complex queries. Joule is fully integrated into 麻豆原创 S/4HANA Cloud Public Edition for enhanced context and effortless navigation. In Q1 2025, Joule鈥檚 unified experience is reaching more customers across more 麻豆原创 solutions, so be sure to explore everything Joule in the sections below.
• Less manual work and democratized access are the name of the game for 麻豆原创 Business AI in business transformation management. Joule for developers is front and center with code generation and optimization across ABAP, 麻豆原创 Build Code, and 麻豆原创 BTP Cockpit. 麻豆原创 Signavio Process Manager and 麻豆原创 Signavio Process Intelligence let customers use natural language to create process diagrams (“text-to-process”) or generate analytical dashboards (“text-to-widgets”). 麻豆原创 LeanIX has a new AI-assisted inventory builder that automates IT landscape documentation. There is so much more to check out about AI in Joule for developers, 麻豆原创 LeanIX, and 麻豆原创 Signavio below.
• A lot is happening in 麻豆原创 Business AI for finance and spend. AI-assisted enterprise search, personalized “My Home” page features, situation handling, and error explanations are all coming to 麻豆原创 S/4HANA Cloud Public Edition. Joule also expands to S/4HANA Cloud Private Edition, automating journal uploads, service initiations, trade classifications, and more. Plus, additional AI updates are coming to Concur Expense. Dive into everything below.
• 麻豆原创 Business AI for procurement and supply chain are flush with new AI enhancements. Joule joins 麻豆原创 Ariba and 麻豆原创 Field Service Management for natural language navigation and task completion. 麻豆原创 Ariba Category Management offers AI-assisted category recommendations to help streamline strategic planning. 麻豆原创 Green Token introduces AI-powered declaration image analysis for automatic data extraction from supplier declarations. There is much more to see, so check out procurement and supply chain below.
• 麻豆原创 Business AI for IT and developers has a range of exciting tools that will increase productivity and efficiency. 麻豆原创 Datasphere gets AI-powered content generation and natural language search, further evolving into our overall data strategy with 麻豆原创 Business Data Cloud. Generative AI Hub in 麻豆原创 AI Core and 麻豆原创 AI Launchpad offers new large language models (LLMs) to ensure the best fit for customized AI use cases. Its new model library feature simplifies LLM discovery and selection with detailed model cards and one-click deployment and its grounding management feature simplifies the management of grounding pipelines, enabling developers to create, modify, and search repositories using natural language. The new 麻豆原创 HANA knowledge graph engine enhances LLM responses by grounding them in business-specific knowledge. This is just the tip of the iceberg; jump into everything and more below.

The first quarter is off to a strong start, but 2025 will see us deliver more use cases 鈥� on top of the 鈥� across our entire range of solutions. Customers can stay updated with forthcoming  releases .

麻豆原创 Business AI for business transformation management

麻豆原创 BTP, ABAP environment
麻豆原创 S/4HANA Cloud Public Edition
Joule for developers, ABAP AI capabilities
General availability

With Joule, developers can quickly generate precise, contextualized code snippets and explanations. Joule uses purpose-built LLMs designed for 麻豆原创 workloads. The ABAP LLM, for example, powers code predictions and explanations, helping developers work more efficiently.

Joule can also provide developers with real-time, context-aware support for code completion and optimization and create automation pipelines that understand the customers鈥� application environment, development project artifacts, and 麻豆原创-specific syntax.

Key capabilities include:

• Predictive code completion based on context, comments, and project heuristics
• Code explanations of core data services view entities, classes, interfaces, and functional modules
• AI-powered assistance for documentation, best practices, and new concepts
• Workflow development and decision assistance based on processes, API specifications, and connected systems

With these ABAP AI capabilities in Joule, developers can expect up to a 20 percent*鈥� reduction in time and effort spent writing ABAP code and a 25 percent鈥�* reduction in time and effort spent testing ABAP code.

In addition, the introduction of the ABAP AI SDK, powered by intelligent scenario lifecycle management, serves as an AI toolbox for ABAP developers. It allows them to use LLMs available through the generative AI hub in 麻豆原创 AI Core and seamlessly infuse AI capabilities into their custom ABAP applications.

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麻豆原创 Signavio Process Manager
AI-assisted process modeler, text to process
General availability

Process modelers can use the AI-assisted process modeler, text to process, to create business process model and notation diagrams from simple text descriptions. This eliminates the manual effort of traditional process mapping from scratch. Intuitive functionality also means non-technical stakeholders can contribute to process design, facilitating better collaboration and shared understanding.

Process modelers can reduce their business process modeling time by up to 50 percent* and time to value for business process modeling by up to 50 percent.*

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麻豆原创 Signavio Process Intelligence
AI-assisted process analyzer, text to widget
Beta release

Business users at all operational and strategic decision-making levels can quickly analyze process data using the text-to-widget feature in 麻豆原创 Signavio Process Intelligence. This feature allows users to create dashboard widgets instantly using natural language queries, democratizing data analysis and reducing the reliance on specialized analysts for routine tasks. The result is broader access to process insights, faster time-to-value, and increased efficiency for the entire organization.

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麻豆原创 LeanIX solutions
AI-assisted inventory builder
General availability

Enterprise architects can now effortlessly document their IT landscapes with the 麻豆原创 LeanIX AI-assisted inventory builder. This feature lets you easily upload various data formats, including documents, PDFs, diagrams, and pictures. Once uploaded, the AI automatically discovers and extracts relevant architectural elements like applications and IT components.

This translates to significant business value with up to an 80 percent* reduction in the time required to create factsheets, up to a 75 percent* reduction in project implementation timelines, and up to 75 percent faster time to value, ultimately increasing productivity and freeing valuable resources.

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麻豆原创 LeanIX solutions
Joule
Early Adopter Care

Enterprise architects can quickly find the information they need within 麻豆原创 LeanIX using the unified copilot Joule. Joule allows you to search for and navigate to fact sheets, reports, and diagrams from anywhere within the application using simple natural language queries. This boosts productivity by simplifying information discovery and reduces the need for extensive training, especially for infrequent users.

The business impact is substantial, with up to a 50 percent* improvement in search time for relevant documentation and factsheets and up to a 75 percent* reduction in time to productivity for all 麻豆原创 LeanIX users.

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麻豆原创 Central Business Configuration
AI-assisted scoping and configuration services
General availability

Business process owners and IT administrators can now effortlessly manage AI capabilities across their entire 麻豆原创 landscape with 麻豆原创 Central Business Configuration. The new AI-assisted scoping and configuration services tool provides a central hub integrated with 麻豆原创 for Me. It is available free of charge to activate, deactivate, and test 麻豆原创 Business AI features.

This eliminates the previous complexities of individual solution activation and allows you to quickly deploy and leverage the full potential of 麻豆原创’s AI portfolio, saving valuable time and resources while driving innovation.

麻豆原创 Central Business Configuration is free for customers and partners.

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麻豆原创 Business AI for finance and spend

麻豆原创 S/4HANA Cloud Public Edition
AI-assisted explanations of fixed asset deprecation keys, AI-assisted easy filter, AI-assisted smart summarization, and AI-assisted financial business insights
General availability

After a successful beta program conducted with dozens of customers, we are thrilled to announce that these features are now generally available for all 麻豆原创 S/4HANA Cloud Public Edition users:

• reduces implementation effort by 75 percent and slashes the time spent analyzing and resolving fixed asset and depreciation inquiries by 90 percent
•   delivers 83 percent faster filtering in Fiori elements-based list reports, increasing user satisfaction and productivity
•   saves users 88 percent of the time spent summarizing Fiori elements-based object pages and increases user and stakeholder satisfaction
• reduce the time spent analyzing cost center report summaries by 50 percent and summarizing/documenting them by 65 percent

麻豆原创 S/4HANA Cloud Public Edition
AI-assisted easy enterprise search, AI-assisted smart personalization of My Home, AI-assisted situation handling, and AI-assisted error explanation
Beta release

The latest update of 麻豆原创 S/4HANA Cloud Public Edition includes advanced AI capabilities, empowering users across supply chain, finance, procurement, and more to operate smarter and faster. By automating tasks, providing actionable insights, and enabling better decision-making, they help boost the productivity of business users. Examples include:

• finds relevant data of business objects in 麻豆原创 S/4HANA Cloud Public Edition using natural language
• offers context-specific, actionable recommendations, reducing resolution time and accelerating decision-making for faster recovery from disruptions
• enables a better understanding of errors in elements-based 麻豆原创 Fiori apps and initial resolution recommendations

We also expanded Joule鈥檚 capabilities in 麻豆原创 S/4HANA Cloud Public Edition. For instance, business users can access critical business information with . Using natural language queries in Joule, they can instantly generate cards summarizing key data and add them to their “My Home” page with a single click. This empowers them with increased productivity and reduced training time while expanding the availability of personalized insight cards tailored to individual needs. On average, 麻豆原创 S/4HANA Cloud Public Edition users can execute transactional tasks 90 percent* faster, thanks to Joule.

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麻豆原创 S/4HANA Cloud Private Edition

With this 2023 FPS03 release, we have shipped innovative AI capabilities that help businesses increase employee productivity, assist in decision-making, and provide predictive insights to better adapt to changing demands and compete in an unpredictable environment. 

AI-assisted journal upload
General availability

Accountants working on period-end journal entries can streamline their work with AI-assisted journal upload in 麻豆原创 S/4HANA Cloud Private Edition. This new 麻豆原创 Fiori app automates the creation and upload of manual journals. Upload guidance documents, create journal upload cases, and let the AI generate compliant posting proposals. AI-assisted journal upload reduces manual effort by up to 85 percent* per accrual and provision case. It also improves data quality through automated validation, strengthens compliance with full audit trails, and empowers finance teams to become a more strategic and lean function.

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AI-assisted in-house service initiation
General availability

Repair shop managers struggling with mountains of paperwork can now enjoy a streamlined alternative to manual data entry. The AI-assisted in-house service initiation solution uses cutting-edge Document Information Extraction to automatically capture data from existing paper documents and seamlessly populate the 麻豆原创 system, creating a ready-to-use list of repair objects for the team. Repair staff can then review the generated order before processing it to completion.

It eliminates tedious data entry, reduces errors, and prevents data loss, especially crucial when deadlines are tight. Users gain valuable time back, saving up to 50 percent* of the time needed to prepare the confirmation notices of conducted service orders.

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AI-assisted generation of trade classification proposals
General availability

Compliance officers and international trade professionals can streamline global trade compliance with AI-assisted trade classification automation in 麻豆原创 S/4HANA Cloud Private Edition. Users can leverage to generate intelligent proposals for customs tariff numbers and commodity codes based on existing product classifications. These proposals can be quickly activated for single or multiple products, eliminating manual research and ensuring accurate and consistent classifications across the product portfolio.

This automation offers up to a 50 percent* reduction in time and cost for the product classification process to boost productivity, reduce compliance risks, and accelerate time-to-market for internationally traded goods.

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AI-assisted labor demand planning
General availability

AI-assisted predictive labor demand planning allows warehouse supervisors to forecast workload needs precisely for picking and packing processes. The feature uses historical data to predict task durations, eliminating guesswork and complex configurations. This leads to up to a 50 percent increase in warehouse supervisor productivity and up to a five percent reduction in delays related to customer order shipments and deliveries. Warehouses using this tool gain greater transparency into operations, better optimize resource allocation, and improve their on-time delivery fulfillment, boosting customer satisfaction.

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This release also expands transactional and navigational capabilities in Joule across critical business functions, including:

• Dispute and payment resolution (a detailed description of the dispute resolution agent is below)
• Revenue accounting, contracts, and reconciliation
• Sales order management, issue resolution, and billing info
• Service confirmations: details, actions, and lifecycle
• Maintenance order, notification, and job management
• Project work breakdown structure (WBS) and network management
• Purchase requisitions, updates, and details
• Bill of materials (BOM) and change record access
• Invoicing, billing, and clarification case views

The new features above empower users to automate tasks, access information quickly, and streamline their workflows. This will drive greater efficiency and faster time to insight across the organization.

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麻豆原创 S/4HANA Cloud Private Edition
Dispute resolution agent
Beta release

Accounts receivable clerks can streamline dispute resolution with the intelligent dispute resolution agent in 麻豆原创 S/4HANA Cloud Private Edition. Instead of manually identifying discrepancies, clerks can use AI-driven automation to quickly analyze invoice details and contractual terms, easily detecting errors or mismatches. The system proactively suggests next steps, such as creating a credit memo, ensuring financial accuracy and faster resolution. By automating error detection and resolution, clerks save valuable time and resources while maintaining control over key decisions.

Faster dispute resolution builds trust with vendors, strengthens relationships, and keeps financial operations running smoothly.

With this AI agent, contract accountants can expect to reduce dispute management handling costs by up to 30 percent*, customer churn attributable to disputes by up to 10 percent*, and days sales outstanding (DSO) by up to one percent.*

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Concur Expense
AI-assisted chart of accounts upload
General availability

Setting up Concur Expense just got easier with an automated chart of account uploads. Finance administrators can now seamlessly import expense accounts directly from their accounting systems, such as QuickBooks Online or Xero, or by uploading a chart of accounts file. This feature automatically creates and maps expense types and account codes within Concur Expense, eliminating manual data entry and ensuring accurate alignment with existing financial systems.

The result is a 50 percent*鈥� faster master data setup process, reduced administrative overhead, and a more efficient expense management experience from the start.

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Concur Expense
AI-assisted policy assistance
Early Adopter Care

Finance teams and business travelers often struggle with complex and ever-changing expense policies, leading to errors and frustration. The policy assistance feature in Concur Expense provides real-time guidance and alerts before and or during their business trip, prior to money being spent, allowing the business traveler to make compliant spend decisions during their business trip.

This drives compliant spending, improves the traveler experience, minimizes expense report issues, and can lead to faster reimbursement. Ultimately, companies can reduce costs, boost policy awareness and guide finance teams to make compliant spend decisions.

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麻豆原创 Business AI for procurement

麻豆原创 Ariba Category Management
AI-assisted category strategy recommendation
General availability

Category managers can significantly improve their strategic planning with 麻豆原创 Ariba Category Management. Previously, they had to spend countless hours manually analyzing cost structures, market dynamics, and other data to craft detailed strategy recommendations. With this new feature, category managers are provided with detailed recommendations to improve the category’s performance. This solution eliminates the need for time-consuming manual data analysis, empowering faster, more informed decision-making.

Streamlining the planning process accelerates category strategy development, improves savings on actively managed categories, and increases spend under management, ultimately advancing category management maturity. This translates to up to a 60 percent*鈥� improved efficiency of category management processes.

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麻豆原创 Ariba solutions
Joule
麻豆原创 Early Adopter Care

Procurement professionals using 麻豆原创 Ariba solutions, from sourcing experts to casual requisitioners, can now avoid navigational and transactional complexities. Joule now seamlessly integrates with 麻豆原创 Ariba Sourcing, Supplier Management, and Buying, providing intuitive navigation and natural language processing for information access and task completion.

This results in up to 50 percent*鈥� faster informational searches and up to 50 percent*鈥� quicker execution of navigation and transactional tasks, enabling procurement teams to redirect their efforts toward strategic activities and maximize their contribution to organizational goals.

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麻豆原创 Business AI for supply chain

麻豆原创 Integrated Product Development
AI-assisted digitalization of legacy drawings
Beta release

For companies with extensive legacy 2D drawings, 麻豆原创 Integrated Product Development now offers automated hotspot creation and business data mapping. This feature streamlines the digital transformation of these drawings and allows users to quickly link visual elements to backend data for applications like interactive spare part catalogs and asset management. This increases aftermarket sales revenue and improves customer satisfaction through enhanced service efficiency and more effective stock management.

For example, this results in an up to 10 percent* improvement in field service technician productivity and annual savings of 鈧�71,000* for a company of 2,000 employees and 鈧�1 billion of annual revenue.

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麻豆原创 Green Token
AI-assisted declaration image analysis
Beta release

Sustainability managers and procurement teams can now use the declaration image analysis feature in 麻豆原创 Green Token to automatically search, validate, and extract information from supplier sustainability declarations.

Gone are the days of manual data entries or sifting through countless documents. The data is now seamlessly embedded in 麻豆原创 Green Token, enabling enhanced traceability and compliance with sustainability standards and regulations. This automated data extraction eliminates the need for costly, time-consuming in-house data extraction solutions and ensures accurate data capture from sustainability declarations such as ISCC PLUS.

This eliminates the cost of data extraction tools and reduces the time needed to search for declarations. It also decreases the time required to review, interpret, and post data by up to 93 percent.*

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麻豆原创 Field Service Management
Joule
麻豆原创 Early Adopter Care

Dispatchers can streamline their processes with Joule in 麻豆原创 Field Service Management. By leveraging intuitive conversational search, dispatchers can quickly and easily find the necessary information. Ask Joule a question using natural language and receive instant answers from 麻豆原创 Help Portal, eliminating the time-consuming process of manual searches. Dispatchers can also plan service orders using transactional capabilities in Joule.

This translates to an up to 12.5 percent* increase in dispatcher productivity, freeing valuable time for more strategic tasks. Moreover, Joule empowers dispatchers to optimize resource allocation, reducing erroneous field service deployments by up to five percent* and driving greater operational efficiency.

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麻豆原创 Business AI for sales and service

麻豆原创 Sales Cloud Version 2 and 麻豆原创 Service Cloud Version 2
AI-assisted duplicate detection
General availability

To detect duplicate sales and service orders, sales and service agents can scan the customer database and existing service orders with AI-assisted duplicate detection. This helps sales agents save time and prevents the creation of duplicate records, ensuring a cleaner database for operations and sales forecasts. Service agents also benefit from reduced mis-dispatch of field technicians, ensuring higher customer satisfaction.

Service agents can expect a complete elimination of in-field service mis-dispatches, and both sales and service agents can reduce the time it takes to detect potential duplicate service orders and records by up to 60 percent.*鈥�

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麻豆原创 Sales Cloud Version 2
Joule
麻豆原创 Early Adopter Care

Sales teams can win more deals with Joule for 麻豆原创 Sales Cloud. Joule enables more effective customer interactions by directly providing intelligent recommendations and insights within the sales workflow. Joule鈥檚 understanding of natural language queries means it can deliver context-specific and accurate search results, guiding users to precisely the information they need within the application.

This offers up to 50 percent* faster informational search and 30 percent* faster navigation for transactional tasks, directly boosting sales team productivity and enhancing the customer experience with more informed and efficient interactions.

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麻豆原创 Business AI for marketing and commerce

麻豆原创 CX AI Toolkit
AI-assisted CX agents
General availability

AI-powered automation offered by the will change how customer service agents handle complex cases within 麻豆原创 Sales and Service. This no-code solution allows businesses to configure AI agents that intelligently classify and route cases, automatically capture knowledge from resolved issues, and quickly surface answers from across the organization’s knowledge base.

This automation frees employees to focus on high-value interactions, improves service quality, provides faster resolution times, and increases customer satisfaction. Organizations can achieve up to a 50 percent鈥� improvement in sales staff productivity of agent-handled tasks and a 50 percent鈥� improvement in service staff productivity of agent-handled tasks.

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麻豆原创 CX AI Toolkit
AI-assisted shopping assistant
麻豆原创 Early Adopter Care

E-commerce businesses looking to enhance their online shopping experience can get game-changing benefits from the shopping assistant in 麻豆原创 CX AI Toolkit. This intelligent assistant integrates with 麻豆原创 Commerce Cloud, allowing customers to interact and find products using natural language, compare options, and receive personalized recommendations, much like a helpful in-store sales associate.

This conversational approach streamlines product discovery, increasing conversion rates, and offers higher average order values through effective up-selling and cross-selling opportunities. Looking at the numbers, this feature provides a five percent*鈥� increase across online conversion rate, average order value, and repeat purchases.

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麻豆原创 Emarsys Customer Engagement
AI-assisted report builder
Beta release

Marketing professionals constantly need to analyze campaign performance and prove their campaigns’ . With the report builder in 麻豆原创 Emarsys Customer Engagement, they can quickly generate custom reports on any metric using simple, natural language prompts. This eliminates the need for complex data manipulation or reliance on IT, freeing up valuable strategic planning and optimization time.

Employees will enjoy an up to 25 percent鈥�* reduction in the time spent on report creation and analysis. Overall, the result is increased marketing efficiency, data-driven decision-making, and the ability to clearly communicate campaign successes and areas for improvement to stakeholders, ultimately driving better business outcomes.

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麻豆原创 Business AI for human resources

麻豆原创 SuccessFactors Incentive Management
Joule
麻豆原创 Early Adopter Care

Employees can get instant answers to incentive management questions with Joule for 麻豆原创 SuccessFactors. For example, sales representatives can now use natural language to quickly access their compensation details, eliminating the need for time-consuming inquiries. Joule provides 24/7 self-service support, delivering accurate and secure responses in seconds. This empowers sales teams to focus on selling, significantly reducing administrative overhead and boosting overall productivity.

The result is a dramatic improvement in efficiency, with an up to 70 percent* reduction in inquiry response time and an up to 85 percent* self-service resolution rate.

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麻豆原创 Business AI for IT and developers

麻豆原创 Datasphere
AI-assisted content generation for catalog
General availability

With the content generation feature in 麻豆原创 Datasphere, data stewards can better handle the growing volume of data assets. It automates creating business descriptions, assigning business terms, and defining KPIs for data assets within the catalog. Stewards no longer must have deep technical expertise in complex 麻豆原创 data structures. AI-assisted content generation will automatically generate context-aware and comprehensive descriptions and apply relevant tags from a hierarchical list.

This reduces the time required to maintain metadata for catalog assets, freeing valuable time for strategic data governance initiatives by up to 87 percent. Improved data discoverability and comprehension empower data modelers and business users to leverage data more effectively, leading to better decision-making and increased productivity across the organization.

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麻豆原创 Datasphere
AI-assisted search
General availability

Data analysts and business users struggling to find the right data assets within 麻豆原创 Datasphere can now benefit from the AI-assisted search feature, which offers a groundbreaking approach to data discovery. It empowers users to search using natural language queries, eliminating the need to navigate complex filter options and manually sift through hundreds of results. Users can ask for what they need, regardless of query complexity, and the search feature will understand their request and deliver precise results across the repository, catalog, and data marketplace.

This means an up to 90 percent* reduction in time spent on complex data artifact searches, enabling users to focus on analysis and insights generation rather than time-consuming data hunts.

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麻豆原创 BTP cockpit
Joule
General availability

After a limited beta program, Joule in 麻豆原创 BTP cockpit is now generally available with its first set of capabilities. It helps platform administrators ask questions related to their 麻豆原创 BTP resources, such as users or the runtime environment, in the cockpit. Users can also ask questions about 麻豆原创 BTP services or the cockpit.

Joule references 麻豆原创 BTP cockpit documentation, summarizes its findings, and links to relevant help content. Platform administrators will experience up to 95 percent faster informational searches and up to 90 percent more rapid execution of navigation and transactional tasks.

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麻豆原创 HANA Cloud
AI-assisted database administration
General availability

麻豆原创 HANA Cloud database administrators can simplify complex tasks and boost operational efficiency using this generative AI-powered feature. AI-assisted database administration can quickly generate summaries of issues and alerts, provide seamless navigation to specific applications, convert natural language into SQL statements, and prompt responses to queries for 麻豆原创 HANA Cloud.

These capabilities give administrators an up to 20 percent* reduction in management effort for 麻豆原创 HANA Cloud instances, accelerate productivity for new database administrators, and reduce the time required for issue resolution.

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Generative AI hub in 麻豆原创 AI Core and 麻豆原创 AI Launchpad
Product enhancements
General availability

The generative AI hub in 麻豆原创 AI Core and 麻豆原创 AI Launchpad enables developers to access market-leading LLMs in a governed environment, run AI models securely and cost-effectively, and maximize value creation from generative AI use cases for 麻豆原创 applications. Developers can save up to 60 percent* on IT expert efforts to onboard and run AI models securely and increase value realization by up to 50 percent* once use cases are available to end users.

This quarter, we released the grounding management feature, designed to simplify the management of grounding data pipelines. It empowers developers to manage their data repositories easily without coding skills. They can easily create, duplicate, and delete repositories. In addition, they can configure and run searches using natural language. Users can view detailed information about their data, manage search settings — for example, chunk size or number of documents retrieved — and integrate search results into their workflows.

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The new model library feature helps users find and understand the available LLMs in generative AI hub without getting lost in technicalities. With simple browsing modes like “catalog” and “leaderboard” for comparing performance, they can easily pick the perfect model for their needs. Detailed model cards provide all the necessary information, from data types to costs and quality metrics, including safety metrics. Leveraging an LLM is just a click away: check it out and see how effortless model exploration can be.

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Furthermore, we鈥檙e excited to introduce further content filtering capabilities via Meta鈥檚 Llama Guard framework. Hosted by 麻豆原创, this advanced content filtering module offers enhanced safety by screening inputs and outputs for various content categories, including violent crimes, hate speech, and sensitive topics like child exploitation and self-harm. By providing comprehensive filtering capabilities, LLama Guard helps ensure a safer and more secure user experience, giving you peace of mind knowing that your interactions are protected.

Finally, the generative AI hub has added some fantastic LLMs to its lineup. We now have cutting-edge reasoning models like OpenAI’s o1 and o3-mini and frontier models such as Anthropic Claude 3.7 and Gemini 2.0 Flash. These models have performed exceptionally well in public benchmarks, making top-notch AI accessible to all our developers. Whether you’re working on agentic tasks or need help with completions, these innovative models have got you covered. Check them out and see the difference they can make in your AI projects: visit .

Finally, an 麻豆原创 Early Adopter Care program dedicated to 麻豆原创’s generative AI hub orchestration workflow is now . Since Q4 2024, the orchestration workflow has ensured that LLMs deliver reliable, business-ready results by providing structured inference orchestration, content filtering, and data masking.

Document Information Extraction, premium edition
Product enhancements
General availability

The instant learning feature released last quarter has been enhanced to support 麻豆原创 default schemas for standard document types. Once the user activates instant learning in , premium edition, the service can use extraction result feedback to select the best model for individual fields in pre-configured 麻豆原创 schemas for invoices, payment advice, and purchase orders.

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Moreover, the service now supports processing text-based files such as DOC, DOCX, EML, MSG, OFT, TXT, and similar, as well as business card, invoice, purchase order, and custom documents in the following file types: CSV, NUMBERS, ODS, TSV, XLAM, XLS, XLSB, XLSM, XLSX, XLT, XLTM, XLTX, and XML. These additional document types improve its usability and help it execute business processes with greater efficiency.

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Users can also subscribe to the Document Information Extraction UI using the Identity Authentication service. This service will handle authentication and authorization tasks in 麻豆原创 BTP with a single sign-on solution across 麻豆原创 software. It allows smooth user authentication, enabling support for both internal and external users.

Document Information Extraction is also available in new data centers, including Google Cloud Platform in the Kingdom of Saudi Arabia (SA30), Google Cloud Platform in India (IN30), and AWS in Brazil (BR10).

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麻豆原创 Build Process Automation
Generative AI capabilities
General availability

Process developers can streamline and optimize data processing automation from numerous documents efficiently and effectively with the generative AI capabilities of Document Information Extraction premium edition. This feature is now natively embedded into . It automates document reading and processing using AI with schema-based data extraction, eliminating the need for manual intervention and reducing time and effort to process documents by up to 50 percent.*

It also eliminates the need to create and maintain Document Information Extraction templates by enabling schema-based extraction and field-specific prompt engineering, reducing the time and effort required to maintain document templates by up to 80 percent.*

In addition, several generative AI capabilities have been introduced in 麻豆原创 Build Process Automation. Citizen developers can now interactively generate and edit artifacts from natural language descriptions, receive active content recommendations and gap analysis, and generate summarization of artifacts. They can expect to save up to 40 percent* of their implementation time.

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麻豆原创 Build Code
Product enhancements
General availability

Developers can now use Joule in to ask questions related to 麻豆原创 products, services, and software development or engineering and get answers based on content from 麻豆原创 Help Portal.

They can easily retrieve answers to questions about their 麻豆原创 BTP ABAP environment and other 麻豆原创 products. Based on content from 麻豆原创 Help Portal, they can also get guidance on development tools and practices.

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麻豆原创 HANA Cloud
Knowledge graph engine
General availability

The new knowledge graph engine embedded in 麻豆原创 HANA Cloud offers 麻豆原创 HANA application developers the chance to build meaningful business applications powered by generative AI.

The knowledge graph engine enhances LLM responses by grounding them in business-specific knowledge stored in the knowledge graph, enabling precise natural language querying and improved AI-driven outputs. It also supports graph-based retrieval-augmented generation scenarios, where relevant information is dynamically retrieved from the knowledge graph to improve AI outputs.

麻豆原创 Knowledge Graph integrates seamlessly within 麻豆原创 HANA Cloud, reducing the need for additional data handling while maintaining data quality, governance, and security for intelligent applications. The knowledge graph engine improves decision-making, enhances logical formality, and improves performance and scalability in handling RDF with relational data.

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Philipp Herzig is is chief technology officer and chief AI officer of 麻豆原创 SE.

*Disclaimer: This article provides estimated benefits. All calculations are estimates based on 麻豆原创 customer case studies, 麻豆原创 benchmarks and other research. Actual benefits may vary and may be affected by additional factors not considered by this article. The information is provided 鈥渁s is鈥� without warranty of any kind, expressor implied, and in no event shall 麻豆原创 be liable for any damages whatsoever in relation with the use of this article. See Legal Notice on for use terms, disclaimers, disclosures, or restrictions related to this material.

It is precisely these high-value use cases that helped 麻豆原创 customers get work done faster and smarter. They helped customers win esports tournaments through AI-powered strategic insights, transformed timesheet tracking so employees could focus on high-value tasks rather than administrative duties, streamlined HR operations to increase efficiency for global football clubs, and so much more.

Looking again to our customers, we infused our generative AI copilot Joule into over 80 percent of the most-used tasks across the 麻豆原创 portfolio. This way, customers can use natural language to get the most important things done. As an example, with Joule鈥檚 1,300 new skills, customers can open a mobile phone chat to get the latest numbers or finalize an approval. We also partnered with more top-tier generative AI models this year, including AWS, Meta, NVIDIA, Mistral, and others, in order to provide flexibility to customers when building AI-powered extensions and use cases with the generative AI hub in 麻豆原创 AI Core.

Today, we are helping more customers across a range of industries and applications. Before diving into the complete updates below, here are some of the highlights from Q4 2024:

• Joule is well into its second year, and the updates didn鈥檛 slow down in Q4 2024. It is now integrated with 13 麻豆原创 applications out-of-the-box, and is also available via 麻豆原创 Mobile Start, so users can use natural language to interact with 麻豆原创 applications on the go. On iPhone and iPad, Joule is only a 鈥淗ey, Siri鈥� away, as Siri can now open and send questions to Joule. Significant innovations entering the program for Joule include 麻豆原创 Consultant Capability for newfound productivity gains and Joule鈥檚 new analytical capabilities to streamline insights across 麻豆原创 applications. Beyond 麻豆原创, Joule is now integrated with Microsoft 365 Copilot for seamless two-way access. Dive into further updates below.
• Following a successful 麻豆原创 Early Adopter Care program in 2024, Joule is generally available in 麻豆原创 S/4HANA Cloud Public Edition. This integration offers a more intuitive way for users to interact with 麻豆原创 solutions. Instead of manually searching for information or navigating multiple interfaces, users can simply ask Joule for what they need — whether that鈥檚 insights on business data or guidance on performing specific tasks. Information searches are up to 95 percent* faster, and navigation and transactional tasks are executed up to 90 percent* faster. 麻豆原创 S/4HANA Cloud Private Edition also received new releases, such as AI-assisted master data governance, AI-assisted sales order fulfillment monitoring, AI-assisted conversational planning, and more. Explore all releases below.
• In 麻豆原创 SuccessFactors, tasks across the entire solution are improved with AI, including writing, translating, and analyzing text for effortless communication. New 360 reports provide tailored growth recommendations and performance metrics for employees. Hiring is also streamlined with AI-powered assignment creation and job recommendations based on uploaded resumes. Dive into all the updates below.
• 麻豆原创 Business AI in IT and Platform offers a myriad of process improvements that help make work easier, from email subject line generators to a free tier on 麻豆原创 BTP that includes Document Information Extraction service for AI document processing in over 40 languages. 麻豆原创鈥檚 generative AI hub now supports grounding capabilities for enhanced data retrieval and decision-making, plus more Amazon foundation models are available. Joule has been embedded into 麻豆原创 Build Work Zone, 麻豆原创 Signavio, and 麻豆原创 Build Code for natural language searches, KPI recommendations, and up to 30 percent* faster application development. Dive into all the updates below.
• 麻豆原创 Business AI in Sales, Services, Marketing, and Commerce boosts productivity and improves workflow. Joule in 麻豆原创 Sales Cloud Version 2 means intelligent recommendations and faster search results. Sales teams can now navigate more efficiently and access data up to 50 percent* faster. AI-assisted backend entity extraction for 麻豆原创 Enterprise Service Management automatically transforms unstructured text into structured data. Dive into all the updates below.

This is only the beginning: 2025 promises more use cases across our entire range of solutions. Watch for forthcoming , including 麻豆原创 Knowledge Graph, Joule studio, and 麻豆原创 Foundation Model, which all promise a strong ROI for businesses along with improvements to employees’ daily work while ensuring relevance, reliability, and responsibility.

Joule

Joule in 麻豆原创 Mobile Start
General Availability

Joule is now integrated into the 麻豆原创 Mobile Start app, enabling users with smartphones or tablets to interact with 麻豆原创 applications in natural language. Since its launch a few years ago, 麻豆原创 Mobile Start has been designed to provide centralized access to native mobile apps, cloud applications, and tools for decision-making and getting insights.

A simple chat with Joule can reveal the latest numbers or allow the human counterpart to intervene directly, using their own words to work on approval or maintenance activities. This integration radically changes how people work with 麻豆原创 in many areas, from sales applications to human resources and supply chain processes.

On iPhone and iPad, customers can use Siri to open and send questions to Joule. For example, customers can say, “Hey Siri, ask Joule in 麻豆原创 Mobile Start.” Siri will respond, and they can ask their question, which is then directly transferred to Joule in 麻豆原创 Mobile Start.

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The 麻豆原创 Mobile Start app is available on:

• The  for iPhone, iPad, Apple Watch, and Apple Vision Pro
•  for mobile devices running Android

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Start with the .

麻豆原创 Consulting Capability
麻豆原创 Early Adopter Care

Announced at 麻豆原创 Sapphire in 2024, 麻豆原创 Consulting Capability will forever change how consultants work. Now available in its early adopter phase, this upcoming product makes consultants more efficient on 麻豆原创 projects with AI assistance grounded in the most up-to-date and comprehensive knowledge base of 麻豆原创-focused content.

Consultants can save up to one-and-a-half hours daily* typically spent finding answers. This product provides consultants with fast, concise, and specific insights distilled from exclusive 麻豆原创 content. It also empowers them to get more done by spending 40 percent less time* interpreting ABAP code, helping them to understand code purpose, logic, and structure quickly. Finally, it elevates every consultant’s impact by expanding their effective knowledge and developing talent faster with expert guidance and instruction that speeds up learning and skill acquisition.

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Joule and Microsoft 365 Copilot Integration
Private preview

麻豆原创 and Microsoft are redefining workplace productivity by integrating Joule and Microsoft 365 Copilot. First introduced at 麻豆原创 Sapphire in 2024 and presented at Microsoft Ignite at the end of last year, this integration provides a seamless user experience. Employees can access either or  to complete tasks and retrieve data across both 麻豆原创 and Microsoft environments.

This means that users in Microsoft 365 can rely on Copilot to pull 麻豆原创 tasks and data through Joule, while those in 麻豆原创 applications can leverage Joule to access Microsoft 365 information and workflows. This two-way integration allows employees to work in the environment most effective for the task at hand, helping to ensure they have everything they need to get their work done efficiently.

For example, a user can book a flight using 麻豆原创 Concur and Joule can block their calendar in Microsoft Outlook. Or consider a product manager working on a new product launch with a cross-functional team: they have regular meetings on Microsoft Teams and collaborate with Microsoft 365. With Joule鈥檚 integration, they can connect to the team鈥檚 individual skill profiles stored in 麻豆原创 SuccessFactors software and core business information in 麻豆原创 S/4HANA Cloud. The new integration enables product managers to coordinate business activities with the team simply by using a few queries.

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Joule, Analytical Insights
麻豆原创 Early Adopter Care

In addition to its existing navigational, conversational, and transactional capabilities, Joule makes data insights more accessible for business users. They can simply ask Joule for analytical insights from their 麻豆原创 business applications and get instant, easy-to-digest answers tailored to the context, regardless of their data and analytics skills. Analytical insights in Joule empower all line-of-business users to make more informed decisions faster and act confidently for better business outcomes.

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麻豆原创 Business AI in ERP and Finance

麻豆原创 S/4HANA Cloud Public Edition, Joule
General availability

After a successful early adopter program conducted in 2024 with several customers and partners, this general availability marks a significant step in transforming how businesses operate by simplifying everyday tasks and making interactions more efficient and intelligent.

The integration offers a more intuitive way for users to interact with 麻豆原创 solutions. Instead of manually searching for information or navigating multiple interfaces, users can simply ask Joule for what they need, whether it鈥檚 insights into business data or guidance on performing specific tasks.

Joule offers a multifaceted user experience. It enables quick navigation to applications for seamless task transitions, provides instant insights into critical business data like purchase orders and outbound deliveries, and guides users to relevant enablement content when assistance is needed, thus streamlining task completion.

A  that companies using AI-powered tools like Joule experienced a 30 percent reduction in time spent on administrative tasks. This time savings allows employees to focus on more strategic activities that drive value.

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麻豆原创 S/4HANA Cloud Public Edition, AI-Assisted Cloud Business Add-In Generation
Beta release

Extensibility specialists can leverage this new application within 麻豆原创 S/4HANA Cloud Public Edition to improve implementation time and customization efficiency with reduced 麻豆原创 and ABAP knowledge dependency.

The app identifies appropriate business add-ins and provides implementation-ready sample code in natural language for the specified business objective. Users can expect to reduce the cost of code revisions by up to five percent* and immediate answers to questions related to cloud business add-ins.

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麻豆原创 S/4HANA Cloud Private Edition, Joule: Product Enhancements
General availability

After its release in Q3 2024, Joule in 麻豆原创 S/4HANA Cloud Private Edition was enhanced with several capabilities last quarter. Suppliers or customers who need to access master data can ask Joule to while staying in the application. Project system users can use Joule to and easily access master data, date, and status information of selected project system objects without opening multiple applications.

With Joule integrated into 麻豆原创 S/4HANA Cloud Private Edition, users can perform informational searches up to 95 percent faster and execute navigational and transactional tasks 90 percent faster.

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麻豆原创 S/4HANA Cloud Private Edition, AI-Assisted Master Data Governance
General availability

Master data specialists can now use natural language to create and update master data change requests and then generate a summary of all updates to master data in a change request. The feature saves a significant amount of time when requesting changes to master data and reviewing requested changes, lowering the risk of missing critical changes and thereby improving the data quality of master data. Users can expect to reduce their efforts by up to 50 percent鈥�* when requesting the change of a single attribute, by up to 80 percent*鈥� when reviewing and understanding change requests, and by up to 50 percent*鈥� when processing change requests.

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麻豆原创 S/4HANA Cloud Private Edition, AI-Assisted Sales Order Fulfillment Monitoring
General availability

Sales departments can now benefit from AI to quickly monitor and resolve order fulfillment issues. Sales orders are summarized in natural language on the header and item level, fulfillment issues are identified and resolved, sales orders can be updated, and document flows are transparent.

Sales representatives can enhance order accuracy and customer satisfaction and expect a 30 percent*鈥� reduction in time tracking for stuck sales orders and a 10 percent*鈥� reduction in churn related to slow fulfillment caused by stuck sales orders.

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麻豆原创 S/4HANA Cloud Private Edition, Transportation Management, AI-Assisted Goods Receipt Processing
General availability

Delivery controllers can automate the processing of goods receipts and delivery notes, avoiding data entry errors and processing many types of document layouts without needing to do any training. The feature detects anomalies that can slow the validation of freight orders and automatically retrieves relevant information from paper-based freight documents and posts it to the system.

Automating the checking of delivery notes and reducing manual checks at the gate significantly reduces the time spent on manual checks and truck waiting times and improves operational efficiency. Delivery controllers can expect to reduce by 50 percent鈥�* the cost of inbound delivery notes processing and by 40 percent鈥�* the cost of idle time for trucks in the yard.

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麻豆原创 S/4HANA Cloud Private Edition, Transportation Management, AI-Assisted Conversational Planning
General availability

Planners can interact with 麻豆原创 S/4HANA Cloud Private Edition, transportation management, using natural language to create comprehensive transportation plans. The new feature supports complex action chains, displays planning needs against available capacities, and simplifies complex transportation decisions. Transportation planners can expect an improvement of 10 percent* in their productivity.

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麻豆原创 S/4HANA Cloud Private Edition, AI-Assisted Behavioral Insights for Contract Accounting
General availability

Collections specialists can use this new feature to predict payment risks and identify high-risk accounts, thus improving collection strategies and reducing outstanding debts. It provides an expanded overview of events, enabling the organization to perform an efficient and reliable analysis of the customer to help make informed decisions and take appropriate action. Customers can expect a reduction of up to 3.5 percent* in days sales outstanding (DSO), a five percent* reduction in uncollectible AR write-offs, and a one percent* reduction in customer billing, credit, and collections costs.

Get started .

Learn more about these latest product innovations in this video:

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麻豆原创 Business AI in Human Resources

麻豆原创 SuccessFactors Solutions, AI-Assisted Writing 鈥� Text Analyzer and Content Translation
General availability

People managers and employees will save time on writing tasks, from employee feedback to profile updates. The new text analyzer functionality within the existing AI-assisted writing feature helps employees create more carefully worded text for their people profiles, goals, comments, and more. It performs a safety scan on each text box, prompt entry, or generative AI output to detect bias and suggest replacement text for any language flagged as potentially biased, discriminatory, or harmful.

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A new translation feature is also available. This feature translates text within 麻豆原创 SuccessFactors to help preserve key messages and tone across languages.

With these two features, managers can expect to reduce their time spent writing employee feedback by up to 65 percent*.

Get started .

麻豆原创 SuccessFactors Performance and Goals, AI-Assisted Insights into Detailed 360 Report
General availability

The 360 report offers employees and managers detailed insights into employee performance, including summaries, key points, and growth recommendations organized by skills or competencies. It provides personalized analysis from diverse feedback sources, enabling employees to identify strengths and areas for improvement and helping managers assess team capabilities effectively.

With this feature, companies can expect up to a 20 percent* boost in employee performance and an increase of up to 10 percent* in employee retention.

Get started .

麻豆原创 SuccessFactors Opportunity Marketplace, AI-Assisted Skill Inference for Assignment Creation
General availability

Assignment owners and co-owners can now create or edit assignments efficiently. This new feature enhances the quality of assignment descriptions, boosts application inflow, and highlights meaningful opportunities across the organization. Users can expect to reduce creation time by up to 90 percent*, improve skill matching by up to 30 percent*, reduce unconscious bias by up to 25 percent*, achieve up to a 90 percent* reduction in creation time, and improve skill matching by up to 30 percent*.

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麻豆原创 SuccessFactors Succession and Development, AI-Assisted Career Insights
General availability

With the AI-assisted career insights feature, employees can better develop skills for target roles through tailored guidance, relevant course recommendations, mentorship connections, and structured development goals. Additionally, it facilitates efficient global communication by quickly translating content, reducing reliance on costly translation agencies. Companies can expect to increase their employee engagement by up to 25 percent* and reduce their time to upskill by up to 30 percent*.

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麻豆原创 SuccessFactors Opportunity Marketplace, AI-Assisted Assignment Creation
General availability

Recruiters can streamline hiring processes by generating tailored requirements, improving assignment quality, and efficiently matching internal talent to the company鈥檚 needs. The feature saves time on manual tasks, enhances internal postings, and allows them to focus on recruiting. They can experience up to a 90 percent* reduction in time and cost for job description creation and a 30 percent* improvement in skill matching.

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麻豆原创 SuccessFactors Recruiting, AI-Assisted Job Skills on Career Sites
General availability

Candidates can now upload resumes, receive job recommendations, and view skill matches between their resume and job requirements, improving transparency and clarity. This increases the chances of finding roles that truly match the candidate’s qualifications, ensures transparency and explainability regarding how candidate skills align with job requirements, and reduces manual searching time. This results, for example, in improving hire quality by up to 30 percent and reducing biased hiring by up to 30 percent.

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麻豆原创 SuccessFactors solutions, AI-Assisted Microsoft Teams App Chat
General availability

Users can interact with the 麻豆原创 SuccessFactors app in Microsoft Teams using natural language to initiate HR transactions or view personal data. The feature focuses on mapping user inputs to available quick actions using AI.

The system always attempts to match a user’s request with a specific HR transaction. This means the response will either successfully match a transaction or return no match without open-ended responses. The system is designed to provide clear, structured results based on available quick actions rather than engaging in free-form conversation. It speeds up access to frequently used transactions and improves app navigation, reducing time and cost for finding the correct transaction by 90 percent* and boosting productivity by 30 percent*.

Get started .

We have also introduced . For example, new hires, hiring managers, and HR colleagues can now navigate onboarding tasks in a more engaging way, streamlining the onboarding process and boosting productivity.

Learn more about these latest product innovations here:

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麻豆原创 Business AI in IT and Platform

Document Information Extraction, Premium Edition: Product Enhancements
General availability

Available on (麻豆原创 BTP), the Document Information Extraction service helps businesses automate and scale their document processing use case end-to-end in more than 40 languages with easy extensions for any document.

At the end of 2024, we also announced that the free tier option now , such as automatic extraction of business-relevant entities from documents without the need for extensive model training, instant learning based on user corrections, and embedded document classification. The free tier service for Document Information Extraction, premium edition, allows to process 50 document pages for free every month, making it easier for everyone to try out the service and get started at no extra charge. For our most demanding customers that process hundreds of thousands of documents, we have made the service 30 percent less expensive to provide even more value.

and start with the product documentation .

Generative AI Hub: Product Enhancements
General availability

Developers can leverage the generative AI hub in 麻豆原创 AI Core and 麻豆原创 AI Launchpad to access market-leading (LLMs) in a governed environment, run AI models securely and cost-effectively, and maximize value creation from generative AI use cases for 麻豆原创 applications.

In the last quarter, we introduced the grounding capability in the orchestration module of generative AI hub. It provides specialized data retrieval through vector databases, grounding the retrieval process using external and context-relevant data. Grounding combines generative AI capabilities with the capacity to use real-time, precise data to improve decision-making and business operations for specific AI-driven solutions. This data supplements the natural language processing capabilities of pre-trained models trained on general material. The Pipeline API is proxied through the 麻豆原创 AI Core generative AI hub and incorporates vector stores, such as the managed 麻豆原创 HANA database.

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We also unveiled the immediate availability of Amazon鈥檚 new foundation models 鈥� Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro 鈥� through 麻豆原创鈥檚 generative AI hub. These are in addition to existing access to Anthropic Claude and Amazon Titan models from Amazon Bedrock.

Finally, we released the 麻豆原创 Cloud SDK for AI. This SDK enables developers to seamlessly integrate AI capabilities, such as chat completion, into their Java-based business applications using 麻豆原创’s generative AI hub. Developers can rely on powerful features, such as templating, grounding, data masking, and content filtering, to build intelligent applications. The SDK simplifies the setup and interaction with 麻豆原创 AI Core, allowing customers to focus on delivering value through AI integration.

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麻豆原创 Build Work Zone, Joule
General availability

Business users can now experience unique value by effortlessly connecting data from multiple backend systems into a single interface because Joule is now integrated into 麻豆原创 Build Work Zone, a low-code tool for creating engaging and personalized business sites. By providing answers and insights from any supported system, Joule eliminates the need to switch between tools and speeds up the execution of navigational and transactional tasks by up to 90 percent*. This empowers 麻豆原创 Build Work Zone users to stay informed with all relevant information and applications in one place.

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麻豆原创 Build Code: Explore a Project鈥檚 Code
General availability

麻豆原创 Build Code, a generative AI-powered code development solution, enables developers to build applications up to 30 percent* faster and potentially decrease development costs by the same margin. With Joule embedded, it offers a streamlined environment optimized for Java and JavaScript, supporting coding, testing, integrations, and application lifecycle management. Since last quarter, developers have used natural language queries to find specific code within their projects using Joule, speeding up application development even more.

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麻豆原创 Signavio Process Collaboration Hub, Joule
麻豆原创 Early Adopter Care

Joule is now available in 麻豆原创 Signavio as part of an 麻豆原创 Early Adopter Care program, enhancing user experience with intuitive natural language search, best practice KPI recommendations, and detailed help pages for better product understanding. It streamlines access to crucial metrics, enabling faster data-driven decisions and process improvements.
Achieve up to 95 percent* faster informational searches and 90 percent* quicker task execution.

Get started .

Joule Studio in 麻豆原创 Build
Beta release

We are making Joule even more flexible and valuable with Joule studio in 麻豆原创 Build. Developers can extend Joule鈥檚 benefits to their organization-specific workflows by creating and deploying custom Joule skills with drag-and-drop tools and integrating Joule with third-party software. Developers can expect to increase business user productivity by up to 20 percent*.

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Stay tuned for the general availability planned for Q1 2025.

麻豆原创 Business AI in Sales, Services, Marketing, and Commerce

麻豆原创 Enterprise Service Management, AI-Assisted Backend Entity Extraction
General availability

Shared service agents’ manual efforts can now be reduced by enabling faster case processing and more efficient entity creation with AI-assisted backend entity extraction in 麻豆原创 Enterprise Service Management. This new feature automatically extracts relevant IDs — for example, invoice ID, contract account — from documents such as emails, converting unstructured text into structured data for 麻豆原创 solutions such as 麻豆原创 S/4HANA Cloud. Businesses can achieve an up to 50 percent* increase in shared service staff productivity and a reduction in repeat cases of up to 30 percent*.

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麻豆原创 Emarsys Customer Engagement, AI-Assisted Subject Line Generator
General availability

With generative AI capabilities embarked into 麻豆原创 Emarsys Customer Engagement, marketers can create compelling email campaigns using text prompts to generate subject-line ideas based on their content. They can improve subject lines with personalized wording, emojis, and seasonal relevance, enabling efficient A/B testing for data-driven decisions. This feature reduces campaign creation costs by 10 percent* and boosts return on marketing investments by up to 20 percent*.

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麻豆原创 CX AI Toolkit: Product Enhancements
General availability

Sales representatives can leverage the intelligent Q&A feature in 麻豆原创 CX AI Toolkit to use 麻豆原创 Service Cloud Version 2 cases as a data source to generate AI answers to their questions. With intelligent Q&A in 麻豆原创 CX AI Toolkit, sales representatives can improve their productivity by five percent*, increase their win rate by one percent*, and first-call resolution rate by eight percent*.

Additional released enhancements were tailored explicitly for sales, service, and commerce roles. 麻豆原创 CX AI Toolkit now supports 麻豆原创 Commerce Cloud and 麻豆原创 Customer Data Platform data sources in AI tools builder, the generation of new attributes and the discovery of new values for existing attributes for a product in multiple languages, generating and translating descriptions for products in multiple languages, and it is now available as an embedded panel within 麻豆原创 Sales and Service Cloud Version 2.

Get started with the 麻豆原创 CX AI Toolkit features and to view the complete list of the latest innovations.

麻豆原创 Sales Cloud Version 2, Joule
麻豆原创 Early Adopter Care

Sales teams can become more productive using Joule in 麻豆原创 Sales Cloud Version 2. It boosts productivity by providing intelligent recommendations and faster, context-specific search results through its generative AI capabilities. Sales users can perform searches up to 50 percent* faster and navigate the application up to 30 percent* more efficiently, enabling quicker access to relevant customer and transactional data. This streamlines sales processes, improving both internal productivity and customer interactions.

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麻豆原创 Business AI in Industries

麻豆原创 Market Communication for Utilities, AI-Assisted CONTRL-Message Explanation
General availability

This new feature helps customer agents simplify error handling by providing natural language explanations for EDIFACT-encoded error messages in the German energy market. They can directly address error messages when working with market partners, significantly reducing processing time and the reliance on highly skilled experts for error analysis. As a result, businesses benefit from an up to 50 percent* reduction in operational costs for error resolution and up to a 60 percent* improvement in processing time for analyzing error cases.

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麻豆原创 Batch Release Hub for Life Sciences, AI-Assisted Custom Release Checks
General availability

Qualified persons overseeing the batch release process can significantly improve efficiency with AI-powered analysis of documents attached to custom release checks in the pharmaceutical industry. This feature reduces the manual effort required by proposing AI-generated results directly in the UI, eliminating the need for qualified persons to search through extensive documents. This allows them to focus on reviewing recommendations and ensuring compliance. The feature enhances productivity of qualified persons by up to 60 percent*, increasing batch release processes鈥� speed and accuracy to ultimately improve compliance, quality, and the overall user experience.

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麻豆原创 Business AI in Spend Management

Concur Travel, AI-Assisted Flight Recommendations
General availability

Business travelers using Concur Travel can now benefit from the new 鈥淏est Flights for You鈥� feature, which displays up to three AI-suggested, policy-compliant flight options based on factors like loyalty cards and available inventory. This curated experience saves users time by presenting the most likely flight choices, reducing the need to sift through all available options while allowing access to the complete list if needed. By optimizing policy compliance and streamlining the booking process, the feature enhances the overall user experience and improves efficiency for business travelers.

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Concur Expense, Joule
麻豆原创 Early Adopter Care

Business travelers can use Joule within Concur Expense to simplify and streamline spend management, ensuring expense reports are ready for submission with minimal effort. This integration reduces policy alerts and the likelihood of returned reports, significantly decreasing time spent on reviews and approvals. They can expect up to 95 percent* faster informational searches and 90 percent* quicker task execution, enhancing employee satisfaction, improving compliance, and delivering substantial time and cost savings across the organization.

Get started .

Philipp Herzig is chief AI officer at 麻豆原创.

*Disclaimer: Values mentioned in this blog post are estimates based on average industry benchmark numbers from an 麻豆原创 analysis. Customers interested in a specific business case calculation can consult their 麻豆原创 account team.

However, the promise of AI-driven transformation has yet to be fully realized. This is largely because true business transformation doesn’t hinge only on improving individual productivity; it’s about unlocking the power of collaborative capabilities that enable cross-functional teams to solve ever-evolving business challenges. This shift paves the way for a new era of automation, driving the next industrial revolution.

This year at 麻豆原创 TechEd, we extended our business AI strategy with a greater focus on transforming how businesses operate through autonomous, collaborative AI agents. Seamlessly infused into our AI copilot Joule, these agents span across business processes, breaking down silos and enhancing cross-functional collaboration.

At 麻豆原创, we believe that AI’s next frontier goes beyond isolated efficiencies and is about seamlessly unifying people, data, and processes to create business value and amplify the impact of outcomes.

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Beyond Productivity Gains

What makes different is its collaborative nature. Unlike other AI agents focused on single domains, Joule鈥檚 agents work together, crossing the boundaries of various business functions such as supply chain, finance, HR, and more. This approach enables our customers to solve multifaceted challenges in a way that isolated productivity tools simply cannot match.

鈥溌槎乖粹�檚 AI copilot Joule is uniquely positioned to provide significant value with AI agents,鈥� said Ritu Jyoti, GM and GVP of AI and Data, Market Research and Advisory, IDC. 鈥淲ith access to extensive contextual data and deep expertise across business functions like ERP, CRM, and HR, 麻豆原创 will enable agentic AI solutions that seamlessly integrate across the business to transform the future of work.鈥�

These AI agents are built with the ability to reason, plan, and execute; not just individually, but collectively, across multiple applications. 

Imagine asking Joule to help settle a payment dispute. This involves monitoring and assessing accounts, issuing warnings, analyzing data, proposing recommendations, and generating comprehensive reports. In this scenario, a collection agent would plan a strategy by dividing the broader task into manageable steps. These steps are then seamlessly executed by collaborative expert agents, such as an email agent, an invoice agent, and a support case agent, which automate the entire workflow, freeing employees to focus on more strategic, value-driven activities.

Joule doesn鈥檛 just automate isolated steps; it brings together agents to deliver connected, cross-functional outcomes. The ability to break down organizational and data silos is what makes Joule stand out. It is a trusted copilot that harnesses AI to solve complex challenges that require collaboration across teams and systems.

Drive Business Transformation

Joule’s design principles are rooted in 麻豆原创’s unmatched business process expertise and access to business data. This gives Joule a unique ability to deliver transformative outcomes across the enterprise. By positioning agents at the intersection of high autonomy and deep collaboration, Joule pushes the boundaries of what is possible today.

Soon, Joule鈥檚 AI agents will further evolve with the help of , a solution that will unlock the full value of data by connecting it with the rich business context captured in 麻豆原创 applications. For example, a collection agent tasked with researching a payment dispute will use 麻豆原创 Knowledge Graph to gather all the pertinent orders, invoices, and payments from the 麻豆原创 applications, enabling other agents to complete their tasks more efficiently.

Our vision for Joule is in sharp contrast to many AI agents on the market, which can struggle to connect across various applications. Most are designed to address specific, single-use cases such as sales, customer services, or finance, based on pre-built language models with prompt engineering. These agents operate within narrow contexts, and while they improve personal productivity, they do not fundamentally transform business processes.

With collaborative agents that influence entire workflows and deliver new business value, Joule stands at the forefront of the next evolution of AI-driven business transformation.

We first introduced our vision for collaborative AI agents at 麻豆原创 Sapphire in 2024, marking the beginning of a journey that has advanced significantly. With the developments announced this week at 麻豆原创 TechEd, the first set of Joule’s agents will become available in Q4 2024, including extensibility capabilities. More out-of-the-box agents will be released in 2025, as well as the ability for customers to create their own agents with .

With 麻豆原创, companies can expect a future where AI is a catalyst for truly unified and intelligent business operations. 

To learn more about collaborative agents in Joule, visit our page, check out the , and read about the recently released business AI innovations.

Philipp Herzig is chief AI officer of 麻豆原创.

Today, one quarter ahead of our road map, we offer more than 100 high-value generative AI capabilities that are ready to use out-of-the-box across 麻豆原创 cloud applications.

From navigating regulatory challenges to addressing complex HR policy questions to generating comprehensive sustainability reports, 麻豆原创 Business AI capabilities are driving real business value for our customers.

For example, a company with 2,000 employees can expect to improve its top line by up to 3.5%* and gain efficiencies for the company鈥檚 bottom line of up to 1.4%* by adopting available 麻豆原创 Business AI features. These productivity gains are relevant for developers and business users alike, as well as for the entire C-suite and all lines of businesses — from the CFO to the chief human resources officer, chief procurement officer, and more.

And this only accounts for AI features that we released in the last 12 months.

AI innovations delivered in Q3 2024 include:

• 麻豆原创 S/4HANA Cloud Public Edition has a flurry of AI-assisted improvements, from smart summaries and filters to natural language explanations of asset depreciation as well as accelerating your financial close. In addition, Joule can now proactively detect and generate proposals for missing compliance configurations around U.S. internal tax. Joule is now also generally available in 麻豆原创 S/4HANA Cloud Private Edition.
• In supply chain, conversational search features in 麻豆原创 Product Lifecycle Management, 麻豆原创 Integrated Business Planning for supply chain, and 麻豆原创 Asset Performance Management allow users to perform informal searches more efficiently and access information more easily. In 麻豆原创 Field Service Management, the AI-assisted activity summary is now generally available. The AI-enabled visual inspection feature has been expanded to 麻豆原创 Asset Performance Management.
• In 麻豆原创 Business Technology Platform (麻豆原创 BTP), a new AI capability in 麻豆原创 Integration Suite lets developers automatically generate integration flows by simply describing the scenario, meaning designing time is three times faster*. 麻豆原创 Build Code provides generative AI to help developers build applications up to 30%* quicker and reduce application development costs by up to 30%*.
• Sustainability experts can now automate AI-enabled environmental, societal, and governance (ESG) reports, reducing the time needed to collect relevant ESG metrics manually from 30 minutes* to 30 seconds*, building on ESG or own report templates and using the data available in 麻豆原创 Sustainability Control Tower.
• 麻豆原创 Signavio offers AI-assisted process recommender and AI-assisted performance indicator recommender features, which can provide preconfigured process models and quick recommendations on performance indicators. The new AI-assisted process analyzer capability allows users to ask questions in natural language and receive immediate insights, democratizing process mining and empowering non-technical users to conduct deep analysis.

While we鈥檙e incredibly excited about what we can offer customers today, there is so much more to come still this year and beyond. That said, we will increase our target of delivering more than 100 generative AI use cases by the end of 2024. We鈥檙e only accelerating the pace of innovation, so that across our entire range of solutions, customers can find 麻豆原创 Business AI capabilities that offer businesses large-scale ROI benefits and, on an individual level, improve employees’ day-to-day work.  

Today at this year鈥檚 麻豆原创 TechEd, we are announcing multiple innovations that will revolutionize how we work and make businesses more agile and productive. With , including collaborative agents and knowledge graphs, these benefits will become even more impactful and relevant for business users across industries and geographies. Of course, we鈥檙e doing all of this while ensuring that our 麻豆原创 Business AI features are relevant, reliable, and responsible.

Read on for a detailed accounting of the new AI innovations we have released to customers in Q3 2024, and to learn more about what鈥檚 ahead.

• ERP & Finance
• IT & Platform
• Sales, Services, Marketing and Commerce
• Industries
• Procurement
• Supply Chain
• Sustainability

麻豆原创 Business AI in ERP & Finance

麻豆原创 S/4HANA Cloud Private Edition: Joule
General availability

Available since Q2, users have been able to directly navigate to business applications. Now, the integration of  in 麻豆原创 S/4HANA Cloud Private Edition allows for:

• Conversational search, allowing users to perform informational searches up to 95%* faster with quick and seamless access to the relevant content from 麻豆原创 Help Portal by asking Joule in natural language for the information they need.
• Up to 95%* faster insights into relevant business objects for purchasing experts and shipping, without the need to navigate to the application that provides the insights. This includes, for example, purchase requisitions, sales orders, and more. 

Get started .

麻豆原创 S/4HANA Cloud Public Edition: AI-assisted smart summarization
Beta release

customers can now benefit from a much smoother 麻豆原创 Fiori experience by using AI-assisted smart summarization jump-starts. This feature allows users to collaborate or follow up by extracting the essential information from the object pages of the 麻豆原创 Fiori Elements application that they use. Users can expect more than five minutes* saved per summarization.

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麻豆原创 S/4HANA Cloud Public Edition: AI-assisted easy filter
Beta release

The AI-assisted easy filter capability helps sales representatives select data of list report-based 麻豆原创 Fiori applications in natural language instead of defining filter values manually. This streamlines the filtering experience to quickly get the required information.

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麻豆原创 S/4HANA Cloud Public Edition: AI-assisted explanation of fixed asset deprecation keys
Beta release

Asset accountants can use AI-assisted explanation of fixed asset deprecation keys to analyze asset values per deprecation area. The feature explains depreciation types and calculation procedures in natural language, increasing the accuracy of financial and tax statements. Users can save up to 60 hours*鈥� of onboarding efforts per country version and 0.5 days*鈥� for analyzing asset values during period closing times.

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麻豆原创 S/4HANA Cloud Public Edition: AI-assisted configuration for U.S. tax jurisdictions
Beta release

Tax accountants can now simplify the process of maintaining U.S.-internal tax configuration with the help of Joule. The AI copilot proactively detects and generates proposals for missing compliance configurations. This ensures faster onboarding for businesses in the United States with less complexity and greater accuracy and reliability compliance with the Tax Authority website integration. Companies can expect a reduction of 50-90%* in effort to set up U.S. sales and use tax configuration.

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麻豆原创 S/4HANA Cloud Public Edition: AI-assisted financial business insights
Beta release

With the help of , employees in finance departments can analyze and summarize data from their cost center review booklet into actionable financial business insights. This empowers them with a complete picture, including root cause analyses, suggested rectifications, and written reports. It also increases efficiency by prioritizing workload, automating repetitive tasks, and recommending actions. Finance costs also get reduced via immediate visibility into critical KPIs, AI-generated reports, and instant sharing. With this feature, business users can expect to save up to 50% of their time per summarization of financial data in a review booklet and 2x accelerated decision-making.

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麻豆原创 S/4HANA Cloud Public Edition: AI-assisted localized form template management, AI-assisted merging for payment formats
Beta release

We introduced two generative AI-assisted localization apps as part of the localization-as a-self-service for 麻豆原创 S/4HANA Cloud Public Edition:

• The Manage Localized Form Templates app allows application owners to extend localized forms, such as payment receipts, to meet their specific requirements. The feature reduces the time and cost for localized form template creation by up to 95%* compared to a manual mapping in a third-party tool.

• With the Generative AI Merge for Payment Formats feature in the Payments app, business users can create customized payment formats using generative AI-generated mappings. This simplifies adapting payment formats to local standards, increasing accuracy and reducing by up to 60%* the time and cost to update payment formats compared to a manual review of the changes.

麻豆原创 Advanced Financial Closing: AI-assisted error resolution
Beta release

The AI-assisted error resolution feature helps controllers and accountants to understand the root causes of issues that arise during financial closing. It provides step-by-step guidance for fixing the error and the option to manually email the resolution to the expert in charge. By identifying errors and analyzing root causes faster, users can reduce efforts to investigate and remediate errors in automated closing tasks by up to 90%* (approximately two hours saved* per financial close), ensuring faster financial closing and lower support and compliance costs.

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麻豆原创 Signavio: AI-assisted process recommender and AI-assisted performance indicator recommender
General availability

Business process consultants can now benefit from new generative AI-powered capabilities in 麻豆原创 Signavio.

The AI-assisted process recommender capability helps to obtain preconfigured process models based on a database of more than 5,000 best practices from 麻豆原创, allowing process experts to move fast from initial exploration to process design and reducing the effort needed for a first process draft to start the process modeling. This reduces the time invested from business process consultants by up to 30%*, and the costs of designing a new process or redesigning an existing one can be reduced by 30%*.

The AI-assisted performance indicator recommender feature helps users obtain quick recommendations on process performance indicators (PPIs) relevant to their business processes and problems. This allows users to solve problems through a measurement approach based on a repository of thousands of KPIs and PPIs. The time and cost of refining process performance indicators can be reduced by up to 20%*.

麻豆原创 Signavio: AI-assisted process analyzer (text-to-insights)
Beta release

With the new AI-assisted process analyzer capability, users can ask questions in natural language and receive immediate insights that can accelerate business decisions by up to 50%*. It democratizes process mining and empowers non-technical users to conduct a deep analysis and obtain valuable knowledge.

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麻豆原创 Business AI in IT & Platform

麻豆原创 Integration Suite: Generation of integrations
General availability

Developers can now automatically generate integration flows in . Users only need to describe the integration scenario and the tool will then create an integration flow with pre-configured connectors based on their description and inputs. This helps to quickly integrate processes, services, applications, events, and data across heterogeneous system landscapes and enhance productivity.

With over 3,600 prebuilt integration flows, users can reduce the time needed for designing the integration by a factor of three*, resulting in cost savings with improved quality, as well as reduced implementation effort.

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麻豆原创 Build Code: Support 麻豆原创 S/4HANA Cloud service integration for data model and app logic
General availability

, 麻豆原创鈥檚 generative AI-based code development solution, allows developers to build applications up to 30% faster. This can reduce application development costs by up to 30%*. The integration of Joule, optimized for Java and JavaScript application development, provides a turnkey environment for coding, testing, integrations, and application lifecycle management.

Starting in Q3, Joule will help developers to generate code for integrated 麻豆原创 S/4HANA Cloud services. This is started by creating a full-stack application, importing an external 麻豆原创 S/4HANA Cloud service, and defining the data model and services with Joule.

In addition, developers can use Joule to enhance the data model they created before by adding associations between the external 麻豆原创 S/4HANA Cloud entity and local entities, and exposing the external entity to a local service via a projection afterward.

Joule also supports custom logic generation for reading the associated external entity and to perform further operations on the exposed external entity.

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麻豆原创 HANA Cloud: Generate 麻豆原创 HANA SQL statements with the SQL console for 麻豆原创 HANA
General availability

麻豆原创 HANA database application developers can use the new conversational SQL console in 麻豆原创 Business Application Studio to generate 麻豆原创 HANA SQL statements. The statements are based on the requirements specified in a special natural language prompt, which can be run directly in the SQL console. The resulting statement includes the correct 麻豆原创 HANA syntax.

Note: To use the 鈥楻un Prompt鈥� option, you must have a subscription to 麻豆原创 Build Code, the AI-powered cloud development environment based on 麻豆原创 Business Application Studio.

The new console helps increase developer productivity by up to 20%*, reducing the SQL learning curve and enabling efficient data retrieval with natural language.

For more details, look at the .

Document Information Extraction service: Product enhancements
General availability

Available on , the Document Information Extraction service helps businesses automate and scale their document processing use case end-to-end in more than 40 languages with easy extensions for any kind of document.

This upgrade includes three significant enhancements designed to streamline your document processing:

Instant learning: The premium edition of Document Information Extraction now features an instant learning capability. This allows for immediate improvements in accuracy as the service learns dynamically from user feedback. Just a few corrections from the user enable the system to adapt and enhance its performance, making document processing more precise than ever.

Enhanced document classification: With the new field type “list of value,” users can specify their own classification classes or categories; for example, to distinguish a supplier invoice from a payment advice. By providing a list of classification values when setting up a schema, they can tailor the service to automatically determine the type of incoming document according to their business processes. This results in more organized document handling, enabling faster and more accurate document processing.

Expanded availability on Microsoft Azure: To meet the growing global demand, the availability of the service has been extended to additional Microsoft Azure regions: Netherlands (Amsterdam) and U.S. East (Virginia). The service now incorporates:

• Extended schema description, to get the most out of generative AI for document processing
• New file types and improved performance, to get support for key Microsoft Office formats, including MS Excel and MS Word
• Schema import and export to easily share schemas across different projects or environments, enhancing consistency and saving valuable setup time

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Generative AI Hub in 麻豆原创 AI Core and 麻豆原创 AI Launchpad: Product enhancements
General availability

The generative AI hub in 麻豆原创 AI Core and 麻豆原创 AI Launchpad enables developers to access market-leading (LLMs) in a governed environment, run AI models securely and cost-effectively, and maximize value creation from generative AI use cases for 麻豆原创 applications.

Developers can save up to 60%* of their time spent onboarding and running AI models securely and realize higher value for new generative AI use cases through better grounding for increased relevance of the outcomes, resulting in faster user adoption. 

In the last quarter, we introduced two key enhancements:

• A new modular and intuitive orchestration builder helps create sophisticated, AI-driven applications by customizing pre-trained AI models for specific business use purposes through a guided process in the generative AI hub
• A simplified integration and customization process lets developers deliver innovations faster and more precisely, enabling more relevant and effective AI-driven solutions for better business outcomes

This feature also comes with a data masking and anonymization function for personal and sensitive data in prompts and LLM responses to enhance data privacy and compliance with data protection regulations.

A new helps integrate advanced AI capabilities into web applications. This user-friendly toolkit makes it easier to embed intelligent features such as chatbots and content generators, speeding up development and giving users more context-aware and relevant AI-generated content.

Finally, additional models from providers such as Google Cloud Platform, Meta, and OpenAI have been added to generative AI hub, and new data centers on Google Cloud Platform and Microsoft Azure are available in Europe and in the United States.

Get started with and .

麻豆原创 Business AI in Sales, Services, Marketing and Commerce

麻豆原创 CX AI Toolkit: Product enhancements
General availability

provides a comprehensive, configurable AI solution for e-commerce, marketing, sales, and service teams. It helps streamline content creation tasks and analyze data from across the enterprise. Many new AI-enabled tools are now integrated into the solution.

AI-supported image generation enables e-commerce teams to generate new product images or edit existing ones in the 麻豆原创 Commerce Cloud catalog. It reduces the time spent on image customization by up to 50%* and increases the number of product-specific campaigns by up to 30%*. With this feature, e-commerce teams can also boost engagement with eye-catching, on-brand visuals tailored to commerce catalogs and effortlessly remove backgrounds or place products on solid-color backdrops.

Intelligent Q&A support for service tickets and cases generates answers to business questions by finding and compiling the content of cases in 麻豆原创 Service Cloud and tickets from 麻豆原创 Cloud for Customers as sources for answers, saving time searching through thousands of records. Services teams can also integrate custom data sources and improve the answers provided by their unique company data.

Check out the for a complete overview of the innovations and get started with the .

麻豆原创 Business AI in Industries

麻豆原创 Intelligent Agriculture: Farming intelligence 鈥� create and process farming recommendations
General availability

麻豆原创 Intelligent Agriculture now enables agribusinesses to create and process recommendations on when, where, and how to conduct farming activities, hence sustainably increasing farming efficiency and helping them thrive. These recommendations can either be created through an API for data science models or created in the solution UI directly.

Read the and get started with the documentation聽.

麻豆原创 Business AI in Procurement

麻豆原创 Business Network: Intelligent invoice error classification
麻豆原创 Early Adopter Care

The invoice error classification feature helps suppliers process rejected invoices for payment in and reprocess invoices accurately to address initial invoice submission errors after categorizing them into appropriate rejection categories. Suppliers can expect to reduce invoice re-processing time by up to 40%* and reduce days sales outstanding impacted by rejected invoices by up to 10%*.

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麻豆原创 Concur: Chart of accounts mapping for product connectors
General availability

In Concur Expense, users can now access an AI-generated chart of accounts mapping for product connectors, such as QuickBooks or Xero, and decrease the setup time and effort of expense-type administration activities, including, for example, expense type creation and account code mapping.

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麻豆原创 Business AI in Supply Chain

麻豆原创 Product Lifecycle Management: Joule
General availability

麻豆原创 Integrated Business Planning for supply chain & 麻豆原创 Asset Performance Management: Joule
麻豆原创 Early Adopter Care

The conversational search feature within Joule is now supported in 麻豆原创 digital supply chain solutions, providing smooth and contextual access to 麻豆原创 Help Portal content and summarizing it in a clear answer to the question. Users can perform informal searches up to 95%* because they do not need to browse through a long search result list or read through several documents to find the correct information.

Watch this short demo of Joule in 麻豆原创 Integrated Business Planning for supply chain:

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麻豆原创 Field Service Management: AI-assisted activity summary
General availability

Dispatchers and field service workers can now generate summaries of activities, such as used spare parts, the duration of the activity, and the results of performed checklists, and improve the review and planning of service requests by up to 15%*. Activity summaries enhance dispatchers’ decision-making by providing contextual information based on similar past events. They also increase the first-visit resolution rate by helping dispatchers quickly identify the right technician for the job, and field service workers understand the job at hand better and find the right solutions faster.

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麻豆原创 Asset Performance Management: Visual inspection
Beta release

Already available to 麻豆原创 Digital Manufacturing Cloud customers since Q2 2024, the AI-enabled visual inspection feature supports asset owners, plant managers, and reliability engineers in monitoring asset conditions to identify critical asset health conditions, such as wear or failure modes, before unplanned downtimes with severe consequences can occur.

The feature collects images from cameras monitoring assets and AI-derived indicator values, displays them appropriately in the context of the asset history and other sensor data, and defines condition monitoring rules to create automated alerts and maintenance notifications based on images analyzed with AI. This enables various asset-intensive industries — such as oil and gas, mining, or railway and transportation — to reduce manual visual inspections by humans and transition from reactive or proactive maintenance toward prescriptive maintenance strategies.

.

麻豆原创 Business AI in Sustainability

麻豆原创 Sustainability Control Tower: AI-assisted ESG report generation
General availability

ESG leads can now automate and embed the sustainability strategy into program execution, reducing the time needed to collect relevant ESG metrics manually from 30 minutes* to 30 seconds* and time to write reports by up to 80%*. Sustainability experts can build on 麻豆原创-delivered report templates that follow common ESG reporting standards or customize their own, generate automated draft reports for periodic internal or external reporting based on ESG data available in , and benefit from an enhanced accuracy of reported ESG data and quality of documentation.

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Philipp Herzig is chief AI officer of 麻豆原创.

*Disclaimer: Values mentioned in this blog post are estimates based on average industry benchmark numbers, from an 麻豆原创 analysis. Customers interested in a specific business case calculation can consult their 麻豆原创 account team.

At 麻豆原创, Business AI is embedded across our enterprise solutions, grounded in contextualized business data and process knowledge, and built on ethical AI practices.

With Joule, our generative AI copilot, users can work in natural language, revolutionizing the user experience. By the end of this year, we will have over 100 new high-value AI use cases across the 麻豆原创 portfolio and 80% of the most-used tasks will be infused in , helping our customers be more productive and efficient.

麻豆原创 also provides now access to all frontier and leading open source models through the generative AI hub in 麻豆原创 AI Core on 麻豆原创 BTP, the only platform on the market that allows customers and partners to extend embedded generative AI use cases with full large language model (LLM) flexibility while relying on deep business process integration and secure data access.

This year at 麻豆原创 Sapphire, we announced a myriad of new business AI capabilities throughout our cloud portfolio, new integrations of our generative AI copilot Joule, and partnerships with companies to lift enterprise software in the era of AI.

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I鈥檓 incredibly proud of the innovations that our engineering teams are delivering, and there鈥檚 much more ahead in the coming months. The following summarizes Q2 2024.

• Human Resources
• ERP & Finance
• IT & Platform
• Sales, Services, Marketing, and Commerce
• Industries
• Procurement
• Supply Chain
• Sustainability

麻豆原创 Business AI in Human Resources

麻豆原创 SuccessFactors HCM
General Availability

As organizations and users begin to embrace AI, HR teams can achieve higher employee productivity, engagement, and growth. 麻豆原创 SuccessFactors HCM provides the global foundation, skills framework, and the purpose-built AI capabilities to allow a people-first experience and take HR to the next level. In the first half of 2024, we鈥檝e delivered more than 25 new AI capabilities to our 麻豆原创 SuccessFactors HCM suite.

Here are some highlights:

helps employees create meaningful and aspirational performance and development goals in a fraction of the time. Managers and employees can save up to 60%* of their time on goal creation.

empowers employees to enhance the quality and tone of writing across a variety of areas within 麻豆原创 SuccessFactors solutions, saving up to 30%* of their time in crafting written communications.

give managers the employee insights they need to help
drive more productive discussions and informed decisions.

Managers also benefit from AI-assisted person insights that summarize complex compensation data, make recommendations, and provide talking points for discussions with employees 鈥� saving time and improving retention rates. They can save up to 10%* of their time on compensation discussion preparation.

helps employees to get answers to natural language questions about an organization鈥檚 HR policy documents. Thanks to the document grounding capability in Joule, answers are grounded in the customers鈥� structured and unstructured business data. With this capability, HR teams may expect a 35%* faster HR ticket resolution and a reduction of up to 60%* in volume of HR tickets submitted by employees.

helps recruiters improve the time to hire by extracting and inferring candidate skills from resumes and matching them with the skills on a job requisition.

supported in Joule help both managers and employees get work done in a conversational way, such as creating or changing a position, initiating spot awards, clocking in and out, and viewing pay statements.

Watch the video below to see the latest innovations in action, and leverage the and the to get started.

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麻豆原创 Business AI in ERP & Finance

Joule in 麻豆原创 S/4HANA Cloud Private Edition
General Availability

Already available in 麻豆原创 S/4HANA Cloud Public Edition through the 麻豆原创 Early Adopter Care program since Q1 2024, Joule is now generally available in 麻豆原创 S/4HANA Cloud Private Edition, streamlining user interaction and enhancing employee productivity.

Joule can offer quick, contextual access to content and applications; users can simply ask Joule for guidance in natural language and get pointed in the right direction. The navigational pattern can help complete goals by navigating the users to the relevant 麻豆原创 Fiori app and letting them work directly in the app’s web UI, where they can take advantage of all features.

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AI-Assisted Matching of Employees to Projects in 麻豆原创 S/4HANA Cloud for Projects
Beta Release

Engagement and resource managers can now match employees to projects, using generative AI capabilities embedded in 麻豆原创 S/4HANA Cloud for projects. This feature helps streamline the skill-based search for employees and reduces the time to staff them on suitable projects. By using this capability, organizations can save 15 to 30 minutes* per request by identifying the candidates with the required skill set without reviewing their profiles in detail.

Watch the and get started with the .

AI-Assisted Hands-Free Production Order Management in 麻豆原创 S/4HANA Cloud Public Edition
Alpha Release

Production supervisors are now able to increase the output of a production order — even being outside of the plant. They can interact with the system using natural language and react quickly to unplanned demand from sales colleagues.

This new generative AI-powered capability allows faster access and retrieval of relevant information on production orders, efficient release of production orders by chatting with the system, and quick check, review, and change of production orders directly at the facility via voice or text.

The time needed by employees to confirm production orders can be reduced by up to 50%*. This would result in a 30 to 50%* gain in operational efficiencies and time saved for companies in the manufacturing industry.

This feature is now available as an alpha release and will be shipped globally later this year. Watch a .

For a deeper look at the released and upcoming AI capabilities in 麻豆原创 S/4HANA Cloud Public Edition announced at 麻豆原创 Sapphire, read Unlock Tomorrow鈥檚 Potential with 麻豆原创 S/4HANA Cloud Public Edition. Visit the to experience the latest features.

麻豆原创 Signavio
Co-Testing with Selected Customers Only

Business process consultants using 麻豆原创 Signavio software will soon be able to leverage generative AI-powered capabilities to get instant best practice recommendations and discover metrics relevant to their processes.

The process recommender capability will enable consultants to obtain preconfigured process models based on a database of more than 5,000 best practices from 麻豆原创, allowing them to move fast from initial exploration to process design, and removing the need for consulting-heavy services to define the first process draft to start the modeling activity.

Also, the performance indicators recommender capability will let consultants obtain quick recommendations on process performance indicators (PPIs) relevant to their business processes and problems. This will help them move easily toward solving problems through a measurement approach based on a repository of thousands KPIs and PPIs.

These two capabilities are currently co-tested with select customers and will be available in Q3 2024. Visit the to learn more.

麻豆原创 Business AI in IT & Platform

Joule in the Regulatory Change Manager Tool on 麻豆原创 BTP
General Availability

Joule’s integration with the new regulatory change manager tool on 麻豆原创 BTP enables compliance and IT professionals to evaluate regulatory updates within the context of their business and 麻豆原创 solutions. Typically, over 1,000 annual regulatory changes across 麻豆原创 products and business processes occur annually. With Joule, users can get quick answers and therefore save up to 70%* of the time usually spent on understanding local and global regulations.

The tool also provides an impact analysis across 麻豆原创 products and solutions, helping customers maintain compliance and seamlessly manage their day-to-day operations.

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麻豆原创 Enable Now
General Availability

IT administrators, training managers, and content developers can cut the time spent writing content by up to 20%* with automatic content generation and enrichment in 麻豆原创 Enable Now.

Customers can use the digital adoption platform to improve the adoption, productivity, and efficiency of their software by providing in-application help and e-learning content to users. New generative AI capabilities enable them to improve user-friendliness, consistency, and quality of text-based learning content鈥�, while reducing time and effort required to author it.

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麻豆原创 Automation Pilot
General Availability

麻豆原创 Automation Pilot helps developers generate DevOps automation flows based on a simple prompt and implement projects faster without the need for expertise in various 麻豆原创 tools, coding, or pursuing a long onboarding process. With this tool, developers can increase their 麻豆原创 application management productivity by up to 75%* and reduce the time to onboard new application management team members for DevOps tasks by up to 70%*.

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麻豆原创 Integration Suite
General Availability

System integration is foundational to the success of enterprise automation initiatives and effective ecosystem collaboration, but connecting heterogeneous systems inside and outside the enterprise is an onerous task.

The new AI-enabled anomaly detection feature in 麻豆原创 Integration Suite makes it easier for developers to identify a sudden surge or drop in API calls, an increase in latency, or an increase in the number of errors detected.

By making users aware of anomalies in API performance, this technology helps identify and address issues before they escalate. This minimizes disruptions, optimizes the system performance, and achieves greater operational efficiency.

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Generative AI Hub (in 麻豆原创 AI Core and 麻豆原创 AI Launchpad)
General Availability

Available on 麻豆原创 BTP, the generative AI hub in 麻豆原创 AI Core and 麻豆原创 AI Launchpad enables developers to access market leading LLMs in a governed environment, run AI models securely and cost-effectively, and maximize value creation from generative AI use cases for 麻豆原创 applications. Developers can benefit from new capabilities and models that are now available, including LLMs from the Amazon Bedrock model family, and leading AI models from vendors such as Meta and Mistral AI. The full list can be found .

With 麻豆原创 BTP, customers can now establish a safe, enterprise-ready playground for employees so they can experiment and innovate with generative AI. Since this quarter, developers can interact in a chat interface within the generative AI hub, allowing a more intuitive interaction with available generative AI models, multi-model support, contextual awareness with uninterrupted dialogue, and customizable settings. Developers can expect to become more productive and enhance problem-solving abilities while maintaining data security and privacy.

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Joule in 麻豆原创 BTP Cockpit
Beta Release

麻豆原创 BTP cockpit helps platform administrators manage resources, services, and security. They can also monitor application metrics and perform actions on cloud applications.

Joule in the 麻豆原创 BTP cockpit supports them in finding information much faster and execute transactional tasks or navigation more quickly. It increases system reliability with consistent and accurate configurations, reduces administrative costs through automation and recommendations, and improves user onboarding efficiency with automated processes.

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ABAP AI Business Objects Generator
Restricted Beta Release

The integration of generative AI with ABAP Cloud will simplify the work of the 5 million-strong ABAP developer community, accelerating the development of extensions that interact with 麻豆原创 S/4HANA Cloud Public Edition, 麻豆原创 S/4HANA Cloud Private Edition, and 麻豆原创 BTP, ABAP environment. Available as restricted beta release since Q2 2024 and planned for general availability in the second half of this year, this feature lets software developers create ABAP business objects using generative AI in 麻豆原创 BTP, ABAP Environment.

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麻豆原创 Business AI in Sales, Services, Marketing, and Commerce

麻豆原创 Sales Cloud Version 2
General Availability

Sales teams are now able to get survey insights such as summary, recommendations, and differences for upcoming visits, saving them up to half* of the time spent in compiling and analyzing the store surveys. This feature equips the sales team with information on an account鈥檚 competitive landscape and facilitates targeted and relevant customer interactions by addressing specific challenges.

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麻豆原创 CX AI Toolkit
General Availability

Launched at the end of last year, 麻豆原创 CX AI Toolkit provides a comprehensive, configurable AI solution for e-commerce, marketing, sales, and service teams. These professionals can use it to streamline content creation tasks and analyze data from across the enterprise — with e-commerce teams experiencing productivity increases of up to 50%*, larger average order values, and higher conversion rates.

With the new “Ask About This Product” AI tool in 麻豆原创 CX AI Toolkit, e-commerce teams can ask questions about products and will receive answers based on the product details, attributes, and further content.

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In addition, sales and service teams are now able to build personalized AI tools within the 麻豆原创 CX AI Toolkit using the “AI tools builder” to solve industry-specific business challenges.

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麻豆原创 Business AI in Industries

麻豆原创 Field Service Management
General Availability

In 麻豆原创 Field Service Management, field service technicians can access a detailed equipment service history quickly with self-diagnostics, streamline issue resolution to minimize unplanned downtime or outages, and optimize maintenance planning.

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Intelligent filtering increases the first-time resolution rate achieved by field service technicians by implementing real-time, automated workforce scheduling, planning, and dispatching. Consequently, dispatcher productivity can be increased by streamlining order search processes and optimizing resource allocation through identifying and assigning orders swiftly.

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To deep dive into these two capabilities, follow the .

麻豆原创 Intelligent Product Recommendation
General Availability

Sales engineers in the manufacturing sector can benefit from more precise product configuration recommendations for complex, configurable products through 麻豆原创 Intelligent Product Recommendation.

By describing their requirements in natural language, they can generate tailored recommendations that better meet customer needs. Generative AI services can analyze text from diverse sources, such as emails and notes captured in 麻豆原创 Customer Experience solutions or multi-page specification documents such as request for proposals or requests for quotations.

麻豆原创 Intelligent Product Recommendation also provides suggestions based on estimated parameters for lead times and CO2 footprints, enhancing accuracy and efficiency of product configurations, and ultimately improving customer satisfaction and operational efficiency.

With this feature, sales engineers can expect to reduce the cost of the quoting process by 10%* and the cost of sales representative training by 20%*.

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麻豆原创 Business AI in Procurement

麻豆原创 Fieldglass
General Availability

Recruiters can easily be overwhelmed with the volume of candidates, job postings, and the matching process, spending countless hours manually sifting through resumes.

New generative AI capabilities in 麻豆原创 Fieldglass help procurement departments to streamline the recruitment of external workers. Hiring managers can generate and maintain effective job descriptions, while project managers can deliver detailed statements of work (SOWs) more rapidly. This enables businesses to quickly identify and engage contractors with the right skills and qualifications.

Job descriptions can be translated into 21 different languages, which are supported by 麻豆原创 Fieldglass solutions, and a new resume-matching capability can surface the most promising candidates, leading to a reduction in work orders by as much as 15%*. This flexibility allows customers to react to fluctuating workloads and rapidly fill expertise gaps.

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麻豆原创 Business Network
General Availability

Business owners and sales executives can now benefit from new generative AI capabilities in 麻豆原创 Business Network to generate accurate and timely RFI responses to potential buyers in a consistent manner, leading to up to 2-4x* higher lead conversion and reducing effort responding to requests by up to 75%*.

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In addition, suppliers can generate effortless, detailed, and accurate product summaries and descriptions of network catalog products. This can reduce content creation costs by up to 50%* and up to 20%* less lost business.

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麻豆原创 Business AI in Supply Chain

Automatic Outlier Correction in 麻豆原创 Integrated Business Planning
General Availability

Demand planners can benefit from the new AI-powered automated outlier correction feature available in 麻豆原创 Integrated Business Planning (麻豆原创 IBP) for Supply Chain.

By automatically pinpointing and adjusting outliers in sales history data, the automatic outlier correction feature in 麻豆原创 IBP minimizes the time spent on data cleaning while increasing the accuracy of sales forecasts. Using machine learning algorithms, the system ensures that each data point is cross validated before being classified as an outlier, enhancing the reliability of the data.

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麻豆原创 Digital Manufacturing
General Availability

By simplifying and optimizing visual inspection processes, visual inspection for 麻豆原创 Digital Manufacturing assists production workers in finding defects faster and more accurately. They can save up to 14 hours* per error correction and reduce the human error rate by up to 20 to 30%*, while increasing customer satisfaction and reducing warranty claims.

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麻豆原创 Product Lifecycle Management
Beta Release

With generative AI, product owners can now create compelling and comprehensive campaign and idea descriptions faster. This ensures clear, engaging, and impactful product messaging for customers.

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麻豆原创 Business AI in Sustainability

麻豆原创 Sustainability Footprint Management
General Availability

At 麻豆原创, we are determined to harness the benefits of AI while minimizing its energy footprint and helping our customers do the same.

One example is a new capability in the 麻豆原创 Sustainability Footprint Management solution that enables sustainability teams to significantly reduce their internal manual efforts of environmental, social, and governance (ESG) reporting using generative AI.

This feature enhances the accuracy and speed of carbon footprint calculations through automated, intelligent suggestions. By reducing the manual effort involved in mapping emission factors, businesses can achieve more precise measurements and make informed decisions faster.

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Philipp Herzig is chief AI officer at 麻豆原创.

*Disclaimer: Values mentioned in this blog post are estimates based on average industry benchmark numbers, resulting from an 麻豆原创 analysis. Customers interested in a specific business case calculation can consult their 麻豆原创 account team.

麻豆原创 Business AI is center stage at the show and top of mind for our customers. These innovations are not just about technological excellence; they’re about delivering real-world results.

Our goal is to provide clear and meaningful value with AI. More than 27,000 customers are already experiencing the substantial impact of 麻豆原创 Business AI. For example, Team Liquid, a leader in the competitive esports and gaming world, saves approximately 10,000 hours per year on manual analysis. But we鈥檙e not stopping here. With 麻豆原创 Business AI, we are both changing how businesses operate and revolutionizing how users interact with 麻豆原创 software.

Generative AI copilot Joule is rapidly becoming the natural language interface across the portfolio as we continue to embed AI across 麻豆原创 applications at an accelerated pace. Our focus on advancing AI means that customers benefit from effective solutions that drive real-world results.

Sandra Voeller, CEO of Agilita AG, agrees. 鈥淯sing 麻豆原创 S/4HANA Cloud Public Edition and 麻豆原创 SuccessFactors with Joule copilot poises Agilita to redefine industry standards,鈥� she said. 鈥淭hese tools are not just innovations; they are our future 鈥� unlocking unprecedented business agility and intelligence. I鈥檓 thrilled for the transformative journey ahead.鈥� 

We have also engaged our robust partner ecosystem with business AI to offer customers more choices to tackle their specific business needs. Over 60 ecosystem partners are working on more than 80 use cases built on AI Foundation on 麻豆原创 BTP, including the generative AI hub. This same foundation powers innovation for our development teams and customers, ensuring tailored enterprise-class AI solutions that address real business challenges and opportunities.

Dive into the latest AI capabilities and ecosystem innovations we are presenting this week at 麻豆原创 Sapphire, all aimed at delivering real-world results:

• Joule
• Human Resources
• Finance
• Supply Chain
• Procurement
• Sales, Services, Marketing, and Commerce
• IT and Platform
• Industries
• Breakthrough AI Innovations
• Responsible AI
• New Partnerships

New Business AI Capabilities and Ecosystem Innovations

Joule

Joule is transforming how users interact with 麻豆原创 business systems, making every touchpoint count and every task simpler. Business users can execute transactional tasks 90% faster and access 麻豆原创 Help Portal content 95% quicker without leaving their 麻豆原创 applications.

Since its launch in September 2023, Joule has quickly become pervasive across the 麻豆原创 portfolio, streamlining operations, improving decision-making, and boosting efficiency across various business functions. Today, Joule is already embedded in HR, finance, ERP, sales, services, marketing, and commerce applications, transforming how employees, managers, accountants, field personnel, and front-office professionals work. By the end of this year, 80% of the most frequently performed transactions across 麻豆原创 business applications will be fully automated with Joule.

Joule is also integrated with multiple components of 麻豆原创 Business Technology Platform (麻豆原创 BTP), enhancing everything from application development to integration and data management. In the second half of this year, we plan to expand Joule鈥檚 reach to supply chain management, analytics, and planning solutions through integration with 麻豆原创 Ariba, various supply chain management solutions, and 麻豆原创 Analytics Cloud. Joule will also support several additional languages, including German, Spanish, French, and Portuguese. With a multilingual Joule integrated across the 麻豆原创 portfolio, businesses around the globe will be able to work faster and smarter and achieve better outcomes.

We are also enhancing Joule with additional capabilities to help the ecosystem streamline 麻豆原创 implementations. Joule will provide consultants with vital information through natural language interactions, drawing from insights in more than 200,000 pages of product documentation and knowledge shared by the 麻豆原创 community. Once rolled out to an ecosystem of more than 5 million consultants, this capability has the potential to save up to 600 million working hours per year. This is especially critical for supporting customers transitioning to 麻豆原创 S/4HANA Cloud as part of RISE with 麻豆原创, helping them accelerate implementations and save money.

The 麻豆原创 partner ecosystem is embracing AI innovations that accelerate customer value. 鈥淲e鈥檙e embracing Joule and Joule鈥檚 麻豆原创 Consulting capabilities to help our clients build the organizational agility needed to continuously transform with a generative AI-enabled digital core,鈥� shared Lan Guan, chief AI officer at Accenture.

This capability will be available later this year.

Human Resources

Transforming HR with AI creates dynamic, inclusive, and future-ready workplaces. With Joule integrated into the 麻豆原创 SuccessFactors Recruiting solution, hiring managers can create compelling, bias-free job descriptions 90% faster, significantly enhancing hiring efficiency and outcomes.

We have also expanded Joule capabilities across the 麻豆原创 SuccessFactors HCM suite to enhance the employee experience. Employees will soon be able to get instant answers to HR policy questions and complete HR processes using natural language. Joule鈥檚 advanced document grounding capabilities will enable comprehensive responses by accessing business documents in 麻豆原创 and third-party repositories such as Microsoft SharePoint.

A new generative AI writing assistant capability helps employees draft personalized and measurable performance goals, development plans, and feedback reports more effectively and consistently. This saves employees up to 30% of the time spent crafting written communications and reduces the time people managers spend defining individualized development goals by 60%.

Managers also benefit from AI-assisted person insights that summarize complex compensation data, make recommendations, and provide talking points for discussions with employees 鈥� saving time and improving retention rates. Similarly, recruitment becomes more productive with the new AI-assisted applicant screening capability, which helps identify the most promising candidates by matching skills extracted from resumes with those in job descriptions.

These AI-driven enhancements empower organizations to build a connected, data-driven, and employee-centric workforce, leading the way in HR innovation and efficiency.

Finance

With 麻豆原创 Business AI, we鈥檙e enhancing performance across a range of financial activities, from payments and expense management to financial close, invoice management, auditing, and forecasting.

For example, financial collection departments are leveraging generative AI in 麻豆原创 Enterprise Service Management to automate processes, analyze and summarize correspondence, prioritize urgent issues, and generate automated replies. These capabilities reduce costs by up to 70% and accelerate service requests by up to 30%, enhancing customer satisfaction.

Billing specialists are now using Joule integrated into 麻豆原创 Advanced Financial Closing to unlock unstructured content from inbound customer correspondence, improving the accuracy of risk determinations. Joule also generates summaries of project profitability, prioritizes projects for further analysis, and proposes actions for project improvement. Additionally, 麻豆原创 Fiori apps now feature Joule-enabled insights, allowing the copilot to summarize available data and produce visual data narratives.

Later this year, new generative AI capabilities in 麻豆原创 Advanced Financial Closing will automate error detections and root cause analysis, helping users quickly resolve common closing errors. With up to two hours saved per error remediation, customers will be able to accelerate closing times while lowering support and compliance costs. Financial controllers will be able to also take advantage of personalized video data stories, highlighting top projects based on key metrics such as recognized revenue, utilization rates, and margins. Collections specialists using 麻豆原创 Billing and Revenue Innovation Management will be able to mitigate risk of late customer payments by analyzing customer behavior and business correspondence to predict the likelihood of delayed payments.

Integrating AI into finance helps businesses streamline processes, reduce costs, and drive meaningful business outcomes.

Supply Chain

麻豆原创 Business AI is empowering companies to create risk-resilient and sustainable supply chains. By leveraging AI, customers can increase supply chain agility and efficiency.

For instance, generative AI-powered capabilities in 麻豆原创 Transportation Management will expedite freight verification and documentation, enabling companies to achieve up to 50% faster inbound delivery note processing and reduce truck idle time at the gate by 40%. The system will automatically extract, post, and check critical information from delivery notes, streamlining the validation of freight orders.

Joule will play a crucial role in enhancing supply chain management. Later this year, supply chain planners will benefit from integration with 麻豆原创 Integrated Business Planning for Supply Chain by getting detailed analyses of planning runs. Joule will identify the root causes of order delays and suggest corrective measures. Logistics providers will be able to use Joule to expedite transportation planning and the intake of goods in 麻豆原创 S/4HANA Supply Chain for transportation management, enhancing overall logistics efficiency.

For manufacturers, 麻豆原创 Business AI will significantly improve quality management. 麻豆原创 Quality Issue Resolution will allow users to address recurring issues faster by using AI to bundle similar quality incidents and identify effective problem-solving processes. Furthermore, AI in 麻豆原创 Asset Performance Management will aid technicians, inspectors, and managers in visually inspecting asset conditions. Images collected from visual inspections will be able to be easily annotated, displayed, and compiled into inspection alerts, facilitating timely and accurate maintenance decisions.

These advancements will make supply chain management more agile, efficient, and sustainable for customers.

Procurement

With 麻豆原创 Business AI, we鈥檙e transforming procurement into a proactive, data-informed, and agile operation.

For example, AI in 麻豆原创 Ariba Category Management allows procurement organizations to reduce the onboarding time for new category managers and accelerate category strategy and planning development by as much as 56%, improving operating margins and outcomes. 

External Workforce
We have added new generative AI capabilities to the 麻豆原创 Fieldglass portfolio, enabling procurement departments to streamline the recruitment of external workers. Hiring managers can generate and maintain effective job descriptions faster, while project managers can deliver detailed statements of work more rapidly. This enables businesses to quickly identify and engage contractors with the right skills and qualifications. Job descriptions can be easily translated into 21 different languages, and a new resume-ranking capability can surface the most promising candidates, leading to as much as a 15% reduction in work orders. This flexibility allows customers to quickly react to fluctuating workloads and rapidly fill expertise gaps.

Buyer Journey
A new generative AI feature in the buying 360 capability for 麻豆原创 S/4HANA Cloud Public Edition will make procurement more intelligent, allowing buyers to bundle products and services into a single transaction. Users will be able to describe their purchasing needs using natural language, and the system will generate a recommended bundle of products and services ready for purchasing. This will save users considerable time spent searching catalogs for individual items while also enhancing the efficiency of the procurement process. These capabilities are planned for later this year.

Sourcing
By the end of the year, sourcing managers will be able to leverage intelligent product and supplier recommendations to create requests for proposals much faster with Joule integration in 麻豆原创 Ariba Sourcing . These recommendations will consider cost-effectiveness, carbon footprint impact, local compliance regulations, and past transactions, optimizing spend management performance.

Through these enhancements, 麻豆原创 Business AI is making spend management more efficient, responsive, and cost-effective.

Sales, Services, Marketing, and Commerce

麻豆原创 Business AI is revolutionizing sales, services, marketing, and commerce operations, significantly improving productivity and customer engagement. For instance, the 麻豆原创 CX AI Toolkit provides a comprehensive, configurable AI solution for e-commerce, marketing, sales, and service teams. These professionals can use it to streamline content creation tasks and analyze data from across the enterprise 鈥� with e-commerce teams experiencing productivity increases of 50%, larger average order values, and higher conversion rates.

Sales Productivity
New AI capabilities enhance the productivity of sales professionals using 麻豆原创 Sales Cloud. Sales teams can benefit from predictive forecasting, which predicts the likelihood of closing deals across the entire business portfolio. This gives chief revenue officers more comprehensive revenue forecasting, enabling better strategic decisions.

In addition, predictive recommendations will enhance sales efforts by suggesting the best people to involve in a deal and the most suitable products for each customer. This will eliminate manual extensive research on customer needs and preferences, allowing sales teams to focus on selling. AI account summaries and lead boosters will automatically generate detailed reports about sales prospects, combining company details, industry context, and relevant news. As such, we can reduce the manual effort needed for information gathering, giving salespeople more time to close deals.

Digital and User Experiences
Today, a generative AI tool builder already enables system administrators to create customized AI tools for business users leveraging data from 麻豆原创 Commerce Cloud, 麻豆原创 Sales Cloud, and 麻豆原创 Service Cloud solutions. These tools can help personalize content to meet specific customer experience needs.

By the end of this year, 麻豆原创 CX AI Toolkit will also introduce new AI features to enhance customer interactions. An AI shopping assistant will allow shoppers to ask questions using everyday conversational language and receive accurate product information and personalized product recommendations on sites powered by 麻豆原创 Commerce Cloud. This will enable consumers to find products faster and improve their overall shopping experience.

麻豆原创 CX AI Toolkit will make marketing and sales teams more productive. Later this year, a new image creation feature will allow business users to generate new product images for their 麻豆原创 Commerce Cloud catalog using natural language prompts, significantly reducing image production times. They will also benefit from an AI expert recommendations feature, which will identify experts within their organization who can provide needed answers and insights. Instead of wasting time browsing through emails and organizational charts, these professionals will be able to use natural language to express their needs and instantly find the right experts. This capability will be generally available later this year.

These advancements in 麻豆原创 Business AI are transforming sales, services, marketing, and commerce operations, making them more efficient, personalized, and successful.

IT and Platform

麻豆原创 Business AI embedded in 麻豆原创 BTP empowers IT professionals and business experts to extend 麻豆原创 solutions and drive faster, better decision-making throughout the enterprise while accelerating customers鈥� digital transformations.

For example, professional developers are leveraging generative AI capabilities in 麻豆原创 Build Code to accelerate application development by 30%. They can generate data models, services, and samples with a few simple prompts and use natural language to automate business logic and testing.

Application Development
Joule continues to increase developer productivity and simplify the extension of 麻豆原创 applications. Integration with ABAP Cloud will revolutionize the work of the 5 million-strong ABAP developer community, accelerating the development of extensions that interact with 麻豆原创 S/4HANA Cloud Public Edition, 麻豆原创 S/4HANA Cloud Private Edition, and 麻豆原创 BTP, ABAP environment. Trained on over 250 million lines of ABAP code, Joule will be able to outperform industry-leading general-purpose code assistants. We expect more than 10% efficiency increase, based on initial studies and benchmarking. Early adopters are using this innovation to generate ABAP business objects and will soon be able to complete and explain code and create unit tests. The first capabilities will become available later this year.

Joule continues to strengthen 麻豆原创 Build Code capabilities by enabling developers to use generative AI to quickly build 麻豆原创 Fiori front ends for 麻豆原创 S/4HANA Cloud, greatly simplifying clean-core extensions.

These advancements in 麻豆原创 Business AI are empowering IT professionals and business experts to innovate faster, streamline operations, and drive meaningful business outcomes.

Process Innovation
We are continuously strengthening 麻豆原创 BTP with new AI capabilities that accelerate process innovation. Joule integration with 麻豆原创 Build Process Automation empowers process experts to generate automation and workflows using natural language requests without IT intervention. Similarly, Joule integration with the 麻豆原创 Signavio portfolio enables users to leverage natural language requests to generate process models. By empowering users with varying levels of expertise to innovate, customers can accelerate time-to-value and free IT professionals to focus on more strategic tasks.

Process AI solutions from 麻豆原创 Signavio introduce a new collection of generative AI capabilities trained on a large language model (LLM) comprised of expert business process knowledge and more than 5,000 麻豆原创 best practices. Later this year, the process recommender feature will provide ready-to-use, AI-generated business process model recommendations and suggest the most influential measures to assess the performance of a business process. This will offer vital insights into streamlining operations and reducing overhead. A prompt-based process mining feature will automatically generate business-relevant charts and metrics in response to natural language requests for business insights, dramatically lowering the effort for business users who need answers to complex business questions.

Integration
System integration is foundational to the success of enterprise automation initiatives and effective ecosystem collaboration, but connecting heterogeneous systems inside and outside the enterprise is an onerous task. Later this year, developers will be able to take advantage of Joule integration with 麻豆原创 Integration Suite and use natural language to accelerate the design of integration flows across 麻豆原创 and third-party applications.

A new AI-powered anomaly detection capability will recommend remedial actions when API usage patterns or performance fall outside desired thresholds due to unusual errors, traffic surges, suspicious API access, or unusual latency. With performance insights and support for identifying causes and effects, administrators of complex technology landscapes will be able to act faster, achieving greater operational efficiency at a lower total cost of ownership.

Content Creation and Compliance
IT administrators, training managers, and content developers will be able to cut the time spent writing content by up to 20% with automatic content generation and enrichment in 麻豆原创 Enable Now. Customers use the digital adoption platform to improve the adoption, productivity, and efficiency of their software by providing in-application help and e-learning content to users. New generative AI capabilities will add to this value, enabling companies to free up resources for more critical tasks and accelerating knowledge transfer within organizations.

Compliance and IT professionals can leverage Joule for enhanced productivity and precision. Joule integration with the new regulatory change manager tool on 麻豆原创 BTP enables these professionals to evaluate numerous regulatory updates within the context of their business and 麻豆原创 solutions. With insights and quick answers on the typically more than 1,000 annual regulatory changes, users can save 70% of the time usually spent on understanding local and global regulations. The tool provides impact analysis across 麻豆原创 products and solutions, helping customers maintain compliance and seamlessly manage their day-to-day operations. Compliance and IT professionals can also use AI in localization as a self-service for 麻豆原创 S/4HANA Cloud to automate tasks such as payment format localization and form localization, reducing processes that once took days to just a few hours.

Administration
With Joule integrated in 麻豆原创 BTP cockpit, administrators can automate tasks and onboard new users more easily. They can search for information 95% faster and execute transactional tasks or navigation 90% more quickly. The business impact is substantial, as the cockpit helps these professionals manage resources, services, and security, monitor application metrics, and perform actions on cloud applications.

Redefining the capabilities of IT and platform management positions 麻豆原创 customers at the forefront of technological advancement and operational excellence.

Industries

麻豆原创 is delivering trusted AI and machine learning across industries to manage complexity, overcome challenges, and help customers modernize. AI-driven solutions empower businesses to streamline operations and focus on strategic outcomes, driving significant value in their respective fields.

Oil, Gas, and Energy, Agribusiness, and Metals and Mining
Commodities traders and business operators will soon be able to eliminate repetitive data entry tasks with 麻豆原创 S/4HANA for commodity management for physical contracts. With Joule, business operators will be able to create new commodities deals by simply describing the deal using conversational language. Planned for later this year, the capability will allow traders to focus more on producing better commercial outcomes for their clients rather than getting bogged down by administrative tasks.

Industrial Manufacturing
Sales engineers in the manufacturing sector will benefit from more precise product configuration recommendations for complex, configurable products through 麻豆原创 Intelligent Product Recommendation. By simply describing requirements in natural language, sales engineers can generate tailored recommendations that better meet customer needs. Generative AI services can analyze text from diverse sources, such as emails and notes captured in 麻豆原创 Customer Experience solutions or multi-page specification documents such as request for proposals or requests for quotations. 麻豆原创 Intelligent Product Recommendation also provides suggestions based on estimated parameters for lead times and CO₂ footprints, enhancing accuracy and efficiency of product configurations, and ultimately improving customer satisfaction and operational efficiency.

Public Sector and Higher Education
Later this year, Joule will be enhanced with budget and grant management business context for the public sector, higher education, and research industries. With this new context awareness, Joule will streamline and improve the user experience for these regulated industries, enabling users to navigate their financial systems more efficiently and make better strategic decisions. For example, 麻豆原创 S/4HANA users will be able to ask Joule for definitions, summaries, or how-to guidance, saving time and reducing the demand on IT departments. This enhancement will help government organizations and higher education institutions manage their budgets and grants more effectively, reducing extensive training typically required during financial system rollouts.

Breakthrough AI Innovations

麻豆原创 is pushing the boundaries of AI with the new 麻豆原创 Foundation Model for structured data, investing in this cutting-edge AI technology to unlock the value of generative AI technology advancements for structured business data. The goal is to deliver a foundation model that is business-centric by design, providing actionable, job-specific insights directly within 麻豆原创 applications customers use daily.

Traditional AI models require significant effort, expertise, and training data to handle specific tasks on structured data effectively. In contrast, we are developing 麻豆原创 Foundation Model to adapt to multiple use cases with minimal or no fine-tuning. Ultimately, we aim to bring the same transformative power to structured business data that LLMs have brought to text. While LLMs like GPT-4 excel with unstructured text and images, they struggle with the structured data typical in enterprises, often performing between 20 to 50% worse than narrow AI methods. 麻豆原创 Foundation Model will bridge this gap, focusing on structured business data to deliver more accurate predictions and insights while maintaining the versatility of foundation models.

Early benchmark tests are promising, showing 麻豆原创 Foundation Model outperforming narrow AI models by up to 15% on customer datasets after a quick fine-tuning round. This superior performance, combined with its deep understanding of complex business processes, promises to enable businesses to reap the rewards of AI faster and more efficiently.

With 麻豆原创 Foundation Model, we aim to set a new standard for AI in the business domain, transforming how enterprises leverage data to achieve remarkable outcomes. .

Responsible AI

At 麻豆原创, innovation goes hand in hand with responsibility. We are committed to ensuring that AI technologies are not only innovative but also ethical, secure, and sustainable. The strategic use of business data is integral to the success of AI, and by leveraging business data responsibly, we not only enhance the capabilities of AI solutions but also improve outcomes for customers.

麻豆原创 remains firm in its commitment to prioritize data privacy and security as it releases new AI capabilities. The same rigorous standards that govern all 麻豆原创 product development extend to AI offerings. Strong security, product, and data privacy protocols are applied to help ensure AI solutions are developed responsibly, with all AI use cases reviewed by an AI ethics committee.

Building on the fundamental dedication to responsible AI that we started back in 2018, this year, 麻豆原创 is proud to further the commitment by affirming the 10 guiding principles of the UNESCO Recommendation on the . These principles cover proportionality, safety, fairness, sustainability, privacy, human oversight, transparency, responsibility, awareness, and multi-stakeholder collaboration, ensuring that AI solutions respect human rights and contribute to sustainable development.

In line with this commitment, sustainability is a key pillar of 麻豆原创鈥檚 corporate strategy. We are determined to harness the benefits of AI while minimizing its energy footprint and helping customers manage theirs. For example, a new AI-enabled capability in 麻豆原创 Sustainability Footprint Management enhances the accuracy and speed of carbon footprint calculations through automated, intelligent emission factor mapping recommendations, reducing manual effort and improving precision.

By integrating responsible AI practices into innovations, we continue to drive meaningful and sustainable business outcomes for customers.

New AI Partnerships

The vast 麻豆原创 partner ecosystem is fully engaged with 麻豆原创 Business AI. Leading up to and at 麻豆原创 Sapphire, we have announced groundbreaking new and expanded partnerships to accelerate AI adoption across business processes:

• Accenture: Accenture and 麻豆原创 are helping clients transform business models, processes, and customer and employee experiences while realizing value through data and AI. This year at 麻豆原创 Sapphire, Accenture is announcing its plans to embrace the consulting capability for Joule and ABAP code generation in compressed cloud ERP transformations. Additionally, Accenture and 麻豆原创 are teaming on 麻豆原创 Signavio and 麻豆原创 LeanIX solutions to help customers with insights, governance, and other capabilities to achieve their transformation outcomes.
• Apple:We are聽deepening聽 our partnership with Apple to revolutionize the boardroom with AI聽and spatial computing. By integrating Apple Vision Pro with聽business applications from 麻豆原创,聽users can聽create聽an infinite聽enterprise workspace, and聽navigate tasks using聽their eyes, hands, and voice. 麻豆原创 has launched apps like 麻豆原创 Mobile Start and 麻豆原创 Analytics Cloud,聽giving users the ability to create a spatial boardroom to visualize their entire enterprise.聽Now, with 麻豆原创 Build Code, customers can easily bring their 麻豆原创 apps to Vision Pro, iPhone, iPad, and Apple Watch.聽麻豆原创 is also leveraging the power of Apple鈥檚 Neural Engine to run 麻豆原创 AI workloads securely and privately on Apple devices, supercharged by 麻豆原创 BTP.
• Amazon Web Services (AWS): AWS and 麻豆原创 announced an expanded, strategic collaboration to transform modern cloud ERP experiences and help enterprises drive new capabilities and efficiencies with generative AI. Together, 麻豆原创 and AWS are striving to make it easier for customers to adopt RISE with 麻豆原创 on AWS, to improve the performance and efficiency of 麻豆原创 workloads running in the cloud, and to embed generative AI into an enterprise鈥檚 entire portfolio of business-critical applications.
• Boston Consulting Group (BCG): BCG , which recommends opportunities to maximize transformation investments using 麻豆原创 Signavio and 麻豆原创 LeanIX solutions. The offering allows companies to navigate continuous change and prioritizes ways to onboard AI-based innovations.
• Google Cloud: We have better predict and mitigate supply chain risk. The expanded partnership begins by enabling marketing and sales departments to understand the impact of their campaigns on product sales, thus increasing forecast accuracy. This is achieved by integrating Joule and 麻豆原创 Integrated Business Planning for Supply Chain with Google鈥檚 Gemini AI assistant and Google Cloud Cortex Framework鈥檚 Data Foundation. By capturing previously hard-to-detect demand signals, companies can react faster and make more informed, agile decisions in a dynamic global market.
• Meta: We are expanding our partnership with Meta by integrating Meta’s Llama 2 and Llama 3 models into the generative AI hub within 麻豆原创 AI Core as part of our business AI strategy. This integration will allow customers to create dashboards based on rich content with Llama’s qualitative conversational outputs and explore use cases built with Meta Llama 3. The wide range of capabilities offered by Meta Llama 3 will enable users to get assistance with key activities, including the auto-generation of custom scripts to extend dashboards, and the delivery of the most accurate scripts directly in 麻豆原创 Analytics Cloud.
• McKinsey & Company: McKinsey has . Value Finder rapidly analyzes and prioritizes thousands of potential process optimization opportunities for clients 鈥� using a proprietary McKinsey and 麻豆原创 technology portfolio with generative AI 鈥� to capture measurable productivity, growth, and asset efficiency benefits enabled by 麻豆原创 S/4HANA transformations.
• Mistral AI: 麻豆原创 will add new LLMs from Mistral AI, a global company headquartered in Paris specializing in generative AI, to its growing corpus of world-class AI models in generative AI hub. This addition to 麻豆原创 AI Core will make it easier to build generative AI use cases for 麻豆原创 applications.
• NVIDIA: We are for next-generation business operations. ABAP developer capabilities and consulting capability in Joule will take advantage of the NVIDIA AI Enterprise software platform, including NVIDIA NIM inference microservices. NVIDIA NeMo Retriever, a collection of generative AI microservices, will connect AI applications with proprietary data, improving the accuracy and relevance of AI responses. We are also integrating NVIDIA Omniverse Cloud APIs into 麻豆原创 Intelligent Product Recommendation, enabling salespeople to visualize 3D products via digital twins in real time. This integration optimizes the sales process for complex products, helping customers make more informed decisions faster than ever.

To learn more about how 麻豆原创 Business AI delivers real-world results, visit the .

Philipp Herzig is chief artificial intelligence officer of 麻豆原创.

The deep bi-directional integration will allow employees to get more done in the flow of their work through seamless access to information from interactions with business applications in 麻豆原创, as well as Microsoft 365.

I often get asked the question, 鈥淗ow many copilots do I need for my business?”

The answer is not about how many, but which you use when.

By integrating two of the leading for business, users can use both simultaneously to get work done. And future plans for bi-directional integration will allow users to benefit from one experience, no matter which copilot they use.

鈥淯nlocking the massive potential AI has to offer requires capabilities that are high value, reliable, and available in-context in the applications that people use today,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE and head of 麻豆原创 Product Engineering. With the bi-directional integration of Joule and Copilot for Microsoft 365, we鈥檙e enabling employees to get more done in the flow of their work through seamless access to information from business applications in 麻豆原创 as well as Microsoft 365.鈥� 

“Microsoft and 麻豆原创 are committed to providing world-class solutions to help our customers solve their most fundamental business challenges,鈥� said Scott Guthrie, executive vice president of Cloud + AI at Microsoft. 鈥淭he integration of Microsoft Copilot and Joule brings together the power of generative AI to unlock greater employee productivity and will enable enterprises to accelerate customer-centric innovation in a unified experience.鈥�

麻豆原创 and Microsoft will start integrating their Joule and Copilot for Microsoft 365 later this year, combining enterprise data residing in 麻豆原创 with contextual knowledge from Microsoft 365, including Microsoft Teams, Microsoft Outlook, Microsoft Word, and more, delivering richer insights for better decision-making. 

With this integration, 麻豆原创 and Microsoft are creating entirely new ways to boost productivity.

For example, by bringing Copilot for Microsoft 365 into Joule, a user can book a flight using 麻豆原创 Concur and Joule, and Joule can block their calendar in Microsoft Outlook.

Or, consider a product manager working on a new product launch with a cross-functional team: they have regular meetings on Microsoft Teams and collaborate with Microsoft 365. Joule can connect to the team鈥檚 individual skill profiles stored in 麻豆原创 SuccessFactors software and core business information that resides in 麻豆原创 S/4HANA Cloud. The new integration enables product managers to coordinate business activities with the team, simply by using a few queries.

Today鈥檚 collaboration, as well as the last week, is the next step in a long-standing partnership between 麻豆原创 and Microsoft, using the latest in enterprise-ready generative AI innovation to help solve customers鈥� most fundamental business challenges.

Philipp Herzig is chief artificial intelligence officer of 麻豆原创.

Gaming is something that keeps inspiring me. I鈥檓 amazed by the speed, accuracy, and level of concentration of professional players. It鈥檚 impressive how this industry has evolved and grown over just a couple of decades.

Team Liquid commands an imposing presence in the esports world, boasting over 160 professional players across more than 15 different games and a staggering fan base of over 10 million followers on various social media platforms. With more than 75 premier events won, Team Liquid is one of the most successful organizations in competitive gaming.

The game with the highest viewership and extensive fandom is League of Legends. Team Liquid successfully competes with their League of Legends team, which recently won the League of Legends Championship Series (LCS) 2024 Spring tournament.

In League of Legends, the goal is to create a strong and balanced team consisting of five characters, called “champions,” in order to outplay and outsmart the opponents during the game by being one step ahead of competition.

Teams participate in a pre-game draft process to select champions before a match. This involves banning and picking champions from a pool of 166 choices to create a strong team.

Champions are the in-game figures controlled by each player. Each champion has particular skills and areas in which they excel. Putting the champions together allows the team to play in various strategic directions to win the match.

After choosing five champions (鈥減ick鈥�), each team is also allowed to remove five champions from the pool (鈥渂an鈥�). Those players cannot be picked by either side. This can be utilized to remove specific parts that would otherwise counter a strategy or hinder the other team from playing their favorite style and/or composition.

Esports teams and their analysts need to prepare for the draft process, as it requires knowledge of the opponent’s favorite picks and strategies. Imagine a five-a-side dodgeball match, but before the match begins, the five players from each team draw their champions from a pool of 166 individual champions.

With bi-weekly updates to the game (鈥減atches鈥�), especially affecting the champions as well as indirectly teams practicing and developing new strategies, competitive League of Legends is an ever-changing game. It creates the need to constantly adapt your draft to a new environment, to analyze both your own and the opposing team’s behavior.

Furthermore, the nature of the draft process and the varying strategies of opponents make accurate predictions difficult. Esports teams have only a week to prepare for the game and gather knowledge about the other team鈥檚 favorite champion picks, strengths, and weaknesses.

Previously, Team Liquid coaches prepared draft scenarios based on manual analysis of the opponent team鈥檚 draft behaviors and champion preferences. However, the challenge was that manual analysis is done before the draft, with the best potential pick or ban changes based on the decisions of the other team. Additionally, the sheer number of potential matches to choose from and the different strategies employed by opponent teams make manual draft prediction very difficult.

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麻豆原创 Helps Change the Game

What if Team Liquid could analyze in seconds the best choice for upcoming drafts, including picks and bans, while considering more than 6,000 professional esports matches from the past year? What if the analysis would also consider the impact of game patches from the publishers by taking an additional 1.6 million amateur matches into account to assess changes in the power attributes and strengths of the champions? With 麻豆原创, this is now a reality.

By using 麻豆原创 AI Core to train a generative AI model that takes data from past matches and puts them into context of the upcoming game, Team Liquid gets suggestions of the best draft picks and bans to maximize the chances to win.

The solution is built on 麻豆原创 Business Technology Platform (麻豆原创 BTP), and the data is stored in 麻豆原创 HANA Cloud to cope with the 1.6 terabyte game data from past games. The result is an intelligent draft bot training, an application that runs on 麻豆原创 BTP, visualizes the predictions, and provides Team Liquid with the current winning probability after each pick and ban.

Manual Analysis Is a Thing of the Past

With the AI draft bot, Team Liquid can train for draft situations against any professional team they face in a matter of seconds. This is achieved by incorporating multiple influencing factors based on an unprecedented number of matches. The coaches and players benefit from the opportunity to conduct what-if analyses and derive valuable knowledge from the data to simulate new strategies. This is also reflected in the time saved compared to the previous manual analysis: Team Liquid saves approximately 10,000 hours per year per year with the solutions from 麻豆原创.

Relying on 麻豆原创 BTP and 麻豆原创 HANA Cloud, 麻豆原创 Business AI provides Team Liquid with the opportunity to further improve their game by leveraging data to make more informed decisions. Here is where fun and business meet.

This is how the power of business AI is made tangible in a perfect way — not just for gamers.

Philipp Herzig is chief artificial intelligence officer of 麻豆原创.

Leveraging quantum mechanical effects such as superposition, entanglement, and interference, quantum computers could soon be able to solve certain problems exponentially faster than classical computers. The disruptive power of quantum already shows promise in fields of application spanning from material science and cryptography to business optimization and AI.

A year ago, I tasked a team within 麻豆原创 to study the unique features of quantum computers, with the goal to investigate how these features could solve complex business problems more quickly, accurately, and on a larger scale than ever before.

At the recent in New York, we presented the integration of IBM Quantum services into our as a proof of concept. This marks an important milestone in the progress of quantum computing towards practical, real-world standard business solutions.

It is 麻豆原创鈥檚 mission as world-leading enterprise application provider to deliver the benefits of quantum computing via our solutions to our customers.

While still a proof of concept, this engine鈥檚 connection to quantum systems demonstrates the potential for quantum computing to solve real-world business problems, such as packing a truck with assorted beverages, using a fundamentally new approach. Instead of simulating every possible packing combination, the quantum solver leverages the inherent parallelism of quantum to evaluate multiple possibilities, showing how to find a significantly superior solution than a classical computer.

In recognition of the rapidly evolving quantum computing ecosystem, 麻豆原创 partnered with , which offers a comprehensive suite of quantum hardware, software, and services accessible via the IBM Cloud and has an impressive multi-year technology road map.

How did we approach this?

Our exemplary standard component, vehicle space optimization, is directly leveraging quantum computing capabilities, fully automized within our application and technology environment. At the core of this innovation is the enhancement of 麻豆原创鈥檚 optimization engine through the incorporation of a potent quantum solver.

Quantum optimization today is about tackling quadratic optimization problems. We augmented the optimization engine with the capabilities to map a business problem to such a quadratic formulation to then feed the quantum computer. This allows us to leverage different algorithms; for example, the well-known . The results coming back from the quantum computer, which are inherently probabilistic, are then post-processed within the optimization engine.

Going one level deeper into the specifics, while high-level programming languages are common in classical computing, quantum computers today are programmed by formulating . With our approach, we encapsulate the complex specific implementation of the quantum circuit within our engine, so that ultimately our ecosystem — customers, consultants, developers — will be able to leverage quantum computing for business problems without studying quantum physics.

Despite the excitement surrounding these developments, 麻豆原创 acknowledges that quantum computers in the current noisy intermediate scale quantum computing (NISQ) era are still too small and too noisy to deliver superior results directly. However, significant progress in the scale and quality of quantum computing in recent years prompted 麻豆原创’s collaboration with IBM to explore the current frontier of quantum computing.

The integration of IBM Quantum systems into 麻豆原创’s cloud-native optimization service results in a platform to address the gaps that need to be bridged in the coming years. This significant step marks a crucial milestone in 麻豆原创’s journey toward the next generation of enterprise software for better business operations and value creation.

As 麻豆原创 continues to push the boundaries of what is possible, the industry watches with anticipation, ready for a future reshaped by quantum computing.

Philipp Herzig is head of Cross Product Engineering and Experience at 麻豆原创.

Top image courtesy of 麻豆原创 employee Sangeetha Krishnamoorthy.

.

Especially for cross-functional roles, taking broad workflow approval action across the solution portfolio to realize value quickly and efficiently can be difficult at times. Think of a spend manager for example: working in this area, employees need to oversee expenditure across various solutions like 麻豆原创 SuccessFactors, 麻豆原创 Fieldglass, and 麻豆原创 S/4HANA.

With 麻豆原创 Task Center we provide a new, unified inbox for approvals across multiple applications with a seamless and integrated user experience. Approval items from multiple 麻豆原创 solutions are gathered in one list and ready to be processed in just one click. Users can:

• Approve tasks quickly and efficiently
• Reduce time spent navigating through various systems to manage approvals
• Work off just one approval list
• Improve quality and consistency of approvals for business-critical items
• Minimize cost of implementation by automated setup

麻豆原创 Task Center provides approvers with a streamlined application and a people-centric user experience across devices to meet their flexible work styles. The unified inbox offers a smart, unified, and actionable approval application — in both mobile and a web environment.

麻豆原创 Task Center: Under the Hood

麻豆原创 Task Center combines multiple powerful capabilities from (麻豆原创 BTP), like standardized APIs and a consistent security and identity management. Based on 麻豆原创 Launchpad, it aims to provide a single point to access all assigned workflow tasks across 麻豆原创 solutions to improve approval time and quality.

All assigned tasks can be easily accessed, searched, sorted, and filtered in the respective app, based on predefined criteria. With this, end users can either directly process and approve approvals in the unified inbox application, or can navigate to the task details of the integrated 麻豆原创 solution — like 麻豆原创 SuccessFactors, 麻豆原创 S/4HANA Cloud and on premise, 麻豆原创 Fieldglass — in case of more complex approval workflows.

Approve Tasks Anywhere and Any Time on 麻豆原创 Mobile Start

In addition to the web application, 麻豆原创 Task Center is also available within the 麻豆原创 Mobile Start app.

麻豆原创 Mobile Start is a native app that serves as the mobile entry point to 麻豆原创鈥檚 business applications and content, providing users with a consumer-grade experience. Thoughtfully predefined content for typical persona and industry roles allows users to execute mobile-enabled business processes.

Get Started

麻豆原创 Business Technology Platform is the ultimate foundation to intelligently connect people, things, and businesses. To get started with the 麻豆原创 Task Center requires a consumption-based commercial model in your 麻豆原创 BTP global account ().

In addition, you can access the unified inbox on your mobile devices through 麻豆原创 Mobile Start , available for iOS on the . More details on how to get started with 麻豆原创 Mobile Start .

麻豆原创 Task Center is integrated into 麻豆原创 S/4HANA, 麻豆原创 S/4HANA Cloud, 麻豆原创 Fieldglass, and 麻豆原创 SuccessFactors solutions. Further 麻豆原创 solutions, such as 麻豆原创 Ariba and 麻豆原创 Concur, are planned to be supported beginning in the first quarter of 2022. Related details can be accessed in the .

麻豆原创 Task Center realizes an overarching one workflow inbox across end-to-end processes, as outlined in .

Over the last 18 months, many more integration innovations have been delivered. Our commitment remains unchanged: we support every customer in their journey to run as an intelligent enterprise.

Learn More

• area on sap.com
• 麻豆原创 Community:
• 麻豆原创 Community:
• 麻豆原创 Task Center on the

Dr. Michael Ameling is senior vice president and head of Intelligent Enterprise and Cross Architecture, Technology & Innovation, 麻豆原创.
Dr. Philipp Herzig is senior vice president and head of Intelligent Enterprise and Cross Architecture, 麻豆原创 Product Engineering.

How much time do you spend on mobile devices? I bet it鈥檚 quite a lot. The power of mobile is not only omnipresent in our personal lives, but also the way people conduct their work — even more so during this time of working at home.

At 麻豆原创, we estimate that up to 70% of enterprise interactions this year to-date have occurred on mobile devices. According to the , the annual increase in data traffic through 2026 will be at 25%. As a result, mobile technologies are constantly creating new opportunities for your business to become more innovative and productive. At the same time, organizations need a people-centric user experience across devices to meet their users鈥� rising expectations.

Today鈥檚 workforce is highly mobile already, spanning across industries and generations. Professionals use mobile devices to stay up to date, on top of business activities, and ahead of the competition by being able to take actions immediately — anywhere and anytime. All business content needs to be easily accessible and intuitively positioned. Just as with the apps you use daily to communicate and connect, the user experience for business applications needs to be as smooth, personal, and relevant.

Over the next few years, the sophistication and complexity of end-to-end processes will grow significantly. In this respect, 麻豆原创 solution integration is an important enabler to create business value. Just as important, it is crucial that people stay at the heart of our business.

With our new mobile experience announced at earlier this year, we aim to place the intelligent enterprise at the fingertips of every customer. With the launch of the 麻豆原创 Mobile Start app, we are taking a major step toward fulfilling that objective.

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What Is 麻豆原创 Mobile Start?

麻豆原创 Mobile Start is a native app that serves as the mobile entry point to 麻豆原创鈥檚 business applications and content, providing users with a consumer-grade experience. Thoughtfully predefined content for typical persona and industry roles allows users to execute mobile-enabled business processes.

Most interactions with your mobile devices are short moments and glances that deliver information. In mere seconds, you can respond to updates and, if needed, take action immediately. We call these situations 鈥渕icro-experiences.鈥� Over the course of the day, people interact with multiple business processes and access data and applications from various systems.

Take the example of a project manager. People in this role require a great understanding of the many different dependencies needed to successfully deliver on the project goals for their customers. To fulfill this responsibility, they always need access to relevant data — to successfully coordinate a project, update daily reports, or simply validate time sheets. 麻豆原创 Mobile Start helps them meet these business needs right from their smart devices.

In addition, you can tailor experiences to each role鈥檚 habits and tasks using the mobile app. You can adjust it for individual roles and work styles, so that users can optimize their daily tasks. To define the right content for all main mobile personas, we are working closely with customers and partners to identify business needs and priorities.

FRoSTA AG鈥檚 digital transformation officer, Lucas Dreger, and innovation manager Fabian von Thun are customers closely involved in providing feedback on the app. They recently shared this: 鈥溌槎乖� Mobile Start will support us in our mission to become a digital champion by offering our employees the best possible user experience. It will help us access applications like 麻豆原创 S/4HANA and 麻豆原创 SuccessFactors solutions using a smartphone from anywhere in the world. Our managers can react quickly to approval workflows through push notifications and act on them with the least-possible number of clicks.鈥�

Increase Agility, Boost Productivity, Optimize Workflows

Let鈥檚 delve deeper into some of the business benefits 麻豆原创 Mobile Start can provide:

• Staying ahead of business-critical situations: 麻豆原创 Mobile Start keeps you up to date with the latest information from your business systems through notifications and widgets. Tapping on either, you can respond to action items immediately and more easily, no matter where you are or what time of the day it is. It is up to you how many and what types of widgets you want to display.
• Enjoying immediate access to your apps: You don鈥檛 have to waste another minute looking for the right app. In the application screen of 麻豆原创 Mobile Start, relevant native apps as well as Web-optimized apps, news feeds, and links are instantly available.
• Exploring relevant information at a glance: With 麻豆原创 Mobile Start, you can quickly access the business information and apps that are most applicable to you, based on your usage patterns. The app is integrated with your mobile device鈥檚 search function, helping you more quickly find the content you are looking for.

Continued Close Collaboration with Customers

鈥淚n a world where mobile app proliferation consumes our always-connected lives, 麻豆原创 Mobile Start provides you with an intuitive, personalized platform from which you can launch your business-relevant experiences,鈥� Vincent Kruse, 麻豆原创 Innovation Lead at Deloitte, said about our new app.

Successful products can be built only with the support and feedback of the people who use them. Thus our customers and partners were an integral part of the design and development process for 麻豆原创 Mobile Start, participating in numerous design thinking meetings, user research studies, workshops, and testing sessions to get our user experience right. Their feedback guided us in the prioritization of functions such as single sign-on and notifications, as well as initiated new developments such as an Android version of 麻豆原创 Mobile Start.

Now that the first version of the app is available, we plan to continue and even extend the close collaboration to make sure our road map and mobile product developments meet our customers鈥� needs.

It is great to see our customers鈥� and partners鈥� passion for the app, and we certainly cannot wait to support them on their continued journey with 麻豆原创 solutions.

Explore 麻豆原创 Mobile Start Today

The first version of 麻豆原创 Mobile Start is now available for iOS for iPhone and iPad. An Android version is planned to be available in the coming months. You can download the app from the and start exploring the functions and features with the built-in demo mode.

For more information about the 麻豆原创 Mobile Start app, visit the .

Philipp Herzig is senior vice president and head of Intelligent Enterprise and Cross Architecture for 麻豆原创 Product Engineering.

Over the past years, working styles have been drastically changing in many industries with mobile becoming the prevailing experience and a critical driver of process innovation. In the coming years, business processes will become increasingly automated and decisions will be made even faster without being in an office or at a desk. Data generated by intelligent, connected devices will reshape the core processes of many industries. The COVID-19 pandemic has further accelerated the transformation toward a digital and flexible way of working.

What does not change is that people need to be at the heart of processes and software alike, calling for experiences that truly matter to them and help them to get their job or tasks done anytime, anywhere, regardless of their work style. This is often overlooked when talking about business or IT processes in general. And that clearly needs to change.

麻豆原创’s are important enablers for creating business value. The Intelligent Enterprise, however, must be a people-centric system that adapts to business needs by providing contextually relevant insights to users, allowing them to make informed decisions in real time and from anywhere.

This year at , we introduce 麻豆原创’s new mobile experience and share a glimpse of our new native entry point app: 麻豆原创 Mobile Start.

Personal, Intuitive, Contextual, Delightful

Content, apps, and tasks need to be easily and intuitively accessible for users in one place so they can stay informed, take action, and dive into their work 鈥� no matter where they are or what time of the day it is. This experience needs to feel personal, relevant, and frictionless across all devices.

During the course of a workday, users encounter numerous so-called micro-experiences that differ based on their work and responsibilities. These individual interactions are the basis for completing daily tasks and can be repetitive or constantly changing. Think of situations like approving a requisition, helping customers, reviewing financial statements, submitting a leave request, or planning a trip.

To serve different role types best, 麻豆原创 is using value engineering to define a mobile-first portfolio that combines similar functionality of different apps and helps ensure the right user experience, including desktop and web experiences for infrequent mobile users as needed. Each work context is being addressed with pre-built integration, on-device intelligence, and highly tuned workflows and collaboration capabilities.

Take a warehouse clerk as an example. In this role, mobile solutions need to support all daily tasks, ranging from unloading to picking, packing, and shipping. Optimized business processes and workflows should minimize unnecessary user interaction steps by leveraging the latest on-device technologies like a Matrixscan to scan multiple barcodes at once, real-time insights through augmented reality overlays, and optimized routes through the warehouse with indoor navigation.

Starting Point of 麻豆原创鈥檚 Mobile Experience

On-device intelligence in every business moment provides the best of cloud intelligence (composing end-to-end processes) and the best of edge intelligence (total experience for mobile users in their unique environment), extending the value and reach of the Intelligent Enterprise to everyone鈥檚 fingertips.

The app is planned to for availability for iOS in August 2021, with an Android version planned for later in the year.

At the end of the day, people run the software we build. Therefore, we envision the Intelligent Enterprise as a people-centric system that provides contextually relevant insights, so informed decisions can be made in real time and from anywhere. This is only the start of much more to come.

Embark with us on a user experience journey that puts people at the heart of business software and processes — from start to finish.

Philipp Herzig is head of Intelligent Enterprise and Cross Architecture for 麻豆原创 Product Engineering.