Click the button below to load the content from YouTube.

Always allow YouTube

, our new user experience, is gaining momentum and driving significant impact for our customers. Customers are already efficiency, enhancing processes, improving , and .

Joule is now live across 35 solutions and will continue to meet our customers where they are: across the applications they use, with a firm understanding of their business context and data. That鈥檚 why in Q1 we are embedding Joule into more applications鈥攆rom 麻豆原创 Datasphere, where it can now execute tasks or explain specific functionalities, to 麻豆原创 Intelligent Clinical Supply Management, where users can use natural language to retrieve critical data and navigate to relevant applications.

Joule Agents, such as the Tender Analysis Agent, are boosting customer revenue growth by extracting critical requirements and flagging risks in complex documents. While project managers in 麻豆原创 S/4HANA Cloud Public Edition are saving time setting up projects with the new Project Setup Agent. Plus, there are many more agents to discover below.

Agents are becoming a key new user鈥攁nd enabler鈥攐f enterprise software, joining humans as the only other non-deterministic operators while simultaneously expanding enterprise software鈥檚 scope and usefulness. Our agents will continue to deliver trustworthy, repeatable, and auditable results every time.

We now have over 30 specialized agents and more than 2,500 Joule Skills. The agent-to-agent protocol means our agents work across 麻豆原创 and non-麻豆原创 systems. As the number of agents grows across both, 麻豆原创 AI Agent Hub already today provides customers with the essential infrastructure and guardrails to manage, govern, and discover agents in this new ecosystem.

Some highlights from Q1 2026:

• 麻豆原创 Joule for Consultants is a conversational AI solution that provides expert guidance on cloud transformations, drawing on 麻豆原创鈥檚 knowledge base. To improve trust and traceability, citations are now displayed in a dedicated side panel and can be grouped for clarity. Administrators can enable web search, allowing Joule to draw from public content while maintaining clear source attribution. For tailored answers to problems where the system may not have customer-specific documentation, consultants can now upload up to 10 PDF or text files directly into the chat. This is further enhanced by the inclusion of content from the 麻豆原创 Enterprise Architecture Reference Library, which provides more complete and accurate answers to complex queries. Get started here.
• 麻豆原创 Business AI for supply chain minimizes disruptions and simplifies planning. The Project Setup Agent allows project managers to rapidly establish new projects by drawing on data from past initiatives. 麻豆原创 Integrated Business Planning users can now generate complex formulas in Microsoft Excel with natural language. 麻豆原创 Digital Manufacturing can distill complex manufacturing issues into clear descriptions. Joule is also helping 麻豆原创 Integrated Product Development users create problem reports and requirement models with simple, natural-language commands. Explore more below.
• 麻豆原创 Business AI for finance offers greater efficiency and insight across critical processes. Joule now translates complex e-invoicing errors into plain language. The Dispute Resolution Agent automates root-cause analysis for invoice disputes, while payment advice processing significantly reduces document processing time. Unstructured data, such as PDFs, can now be automatically transformed into sales orders, and accountants can access natural language explanations for complex fixed asset calculations. Users can personalize their home page and easily understand system errors using natural language across 麻豆原创 S/4HANA Cloud Public Edition. Learn more below.
• 麻豆原创 Business AI for procurement and customer experience enhances the entire commercial journey with new capabilities. In procurement, automated statement of work (SOW) creation in 麻豆原创 Fieldglass reduces the time to define deliverables. The Catalog Optimization Agent means e-commerce managers can continuously improve product data quality. In retail, managers can get instant, conversational answers from Joule on order management data. There’s so much more to learn below.
• 麻豆原创 Business AI for IT and developers puts the latest tools and greater control directly into the hands of developers and data professionals. Joule is now generally available in 麻豆原创 Datasphere, enabling users to navigate the platform, get answers, and execute tasks using simple conversational language. The generative AI hub in AI Foundation continues to expand, offering developers access to the newest models, including OpenAI GPT 5.2, Gemini 3.0 Pro, Anthropic Claude Opus 4.6, and Claude Sonnet 4.6. Developers also gain greater power through enhancements such as advanced prompt optimization, metadata filtering, and declarative orchestration configurations in the prompt registry. Additionally, 麻豆原创 Document AI now offers more granular control with custom confidence thresholds and expanded document support. Dive into everything below.
• 麻豆原创 Business AI for industries delivers specialized intelligence to solve unique business challenges. Sales teams can accelerate their response process with the new Tender Analysis Agent, which automates the review of complex RFQ documents to improve win rates. Joule now works with 麻豆原创 Commodity Management to turn verbal or written negotiations directly into detailed draft deals. In life sciences, clinical supply professionals can use predictive analytics to reduce inventory waste costs, and Joule dramatically cuts information search time. 麻豆原创 Self-Billing Cockpit automates invoice data extraction from any format, significantly reducing manual processing time. Discover more for industries below.
• 麻豆原创 Business AI for business transformation management provides the critical insights needed to navigate and accelerate organizational change. Joule is now in 麻豆原创 Signavio, enabling natural-language searches that cut information discovery time. Business process model and notation simulations in 麻豆原创 Signavio provide clear, actionable summaries directly within process diagrams. Meanwhile, enterprise architects can leverage guidance in 麻豆原创 LeanIX to surface actionable insights directly from their architecture inventory, accelerating transformation execution and reducing the time to uncover them. Read more about transformation management below.

Joule

Joule, enhancements

User experience is improved by streamlining startup times and introducing cross-thread search functionality that lets end users find information across all conversation threads without manually checking individual histories. The document grounding capability has also seen a substantial upgrade, now supporting seamless integration with Google Drive.

To set up, see: , , and .

Furthermore, scalability has been greatly improved, as the system now supports up to 8,000 documents per pipeline, enabling large-scale data repositories to be processed and utilized efficiently.

For more information, see .

麻豆原创 Joule for Consultants, enhancements

Enhanced Citation Visibility
麻豆原创 Joule for Consultants has improved how citations are displayed for all identified sources returned by the product. Citations have been relocated to the right side in a dedicated panel for clearer visibility, and now also include public web search results when applicable (see below).

A new grouping feature has also been added, allowing citations to be grouped. This update provides users with a more transparent view of where information originates, strengthens trust, and improves traceability across all responses.

To see the sources and panel, click the sources button below each message; the panel will open on the right, showing all grouped sources.

Enable Web Search
Administrators can now enable/disable web search via the control panel for all assigned end users in 麻豆原创 Joule for Consultants.

When enabled, 麻豆原创 Joule for Consultants will consider public web content in its reasoning and cite relevant public sources in responses when they contribute to the answer. This enhancement gives organizations greater flexibility and transparency by enabling broader coverage of information while maintaining clear source citations for all sources used.

File Uploads in the Joule Message Input
End-users can now upload up to 10 files directly from the conversational message input box and reference them throughout the entire conversation.

Supported file types include PDF and TXT. Each file should be no more than 10 MB/600K characters; for PDFs, an approximation. A 100-page limit applies; if your file is larger, split it into multiple documents. Image files are currently not processed and will be ignored. We are working diligently to make this feature even more useful to end users. This enhancement enables richer, context-aware interactions by allowing you to incorporate your uploaded documents into its conversational responses throughout the session. Please be aware that the standard data privacy terms apply. See also the help documentation for additional information on the free user quota.

Content: 麻豆原创 Enterprise Architecture Reference Library
麻豆原创 Enterprise Architecture Reference Library data has been ingested and is now available for use in conversations. As more data is added, relevant portions may be included in 麻豆原创 Joule for Consultants鈥� responses, enabling more complete, accurate, and context-rich answers to user queries. Since 麻豆原创 Enterprise Architecture Reference Library content cannot be link-referenced, you won鈥檛 see the additional content listed under sources, even though it will be referenced.

Get started .

SECTION

麻豆原创 Business AI for supply chain

Project Setup Agent
Beta release

Project managers can now rapidly establish new projects by drawing on data from similar past initiatives. The agent bypasses complex interfaces and reduces reliance on the project management office (PMO) to facilitate the swift allocation of key resources needed to launch projects effectively. With a 10% reduction in project creation time, 16% faster resource allocation, and 30% less time spent reworking projects due to incorrect templates, teams can shift focus from operational coordination to improving project profitability and driving efficiency.

Get started .

麻豆原创 S/4HANA Cloud Private Edition, AI-assisted retrieval of equipment information in service management
General availability

Service managers using the AI-assisted retrieval feature in 麻豆原创 S/4HANA Cloud Private Edition gain a complete 360-degree view of customer equipment. The feature provides instant access to warranty information and a full history of service transactions, complemented by an AI summary and actionable recommendations. This allows service managers to more efficiently oversee service schedules, reduce potential downtime, and ensure customer equipment operates at peak performance.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted input recommendations for returns order creation
General availability

Returns clerks can accelerate the creation of customer returns with data field recommendations powered by historical data. This feature analyzes past return documents with similar process variants to automatically suggest the most common input values and return reasons, minimizing manual data entry and reducing errors. Organizations benefit from a one percent reduction in data management costs and a five percent decrease in business and operations analysis expenses, enabling returns teams to process orders more efficiently while maintaining accuracy.

Get started .

麻豆原创 Integrated Business Planning, AI-assisted MRO inventory analysis
General availability

Inventory planners get a new analytical assistant in the MRO inventory analysis feature for 麻豆原创 Integrated Business Planning. The feature accelerates root cause analysis by generating clear, natural-language summaries that explain the key drivers behind recommended safety stock and reorder points. By translating complex calculations into understandable insights, this capability enables planners to reduce time spent analyzing inventory runs by 30%, leading to faster adoption of outputs and ensuring that inventory parameters align with strategic business goals.

Get started .

麻豆原创 Integrated Business Planning, add-in for Microsoft Excel, AI-assisted planning
General availability

Supply chain planners can now simplify their work with a new AI-assisted planning add-in for Microsoft Excel. Instead of manually creating complex formulas or formatting rules, which often require technical expertise, they can simply describe their needs in natural language, and the system automatically generates the correct syntax. This intuitive way of interacting with the system removes technical barriers and improves a planner鈥檚 efficiency by 10%, freeing them to focus on strategic analysis rather than implementation details.

Get started .

麻豆原创 Integrated Business Planning, AI-assisted system security check
General availability

Supply chain planners and security analysts gain a robust way to assess system configurations against established security recommendations. The feature evaluates compliance states and provides clear guidance on required adjustments, helping administrators identify and address potential gaps while aligning configurations with 麻豆原创 best practices. Organizations can expect a 27% increase in compliance with hardening guidelines and a 32% reduction in the effort required to meet security recommendations. This feature strengthens the protection of sensitive data and reduces the risk of security breaches.

Get started .

麻豆原创 Integrated Product Development, AI-assisted problem report creation
General availability

Maintenance engineers can simplify the creation of formal problem reports by leveraging AI capabilities in 麻豆原创 Integrated Product Development. By describing an issue in their own words to Joule, it intelligently extracts key details like the problem name, tags, and priority, and then automatically generates a structured report. This streamlined process dramatically reduces manual data entry and ensures all reports are consistent and compliant with organizational standards, improving overall efficiency.

and get started .

麻豆原创 Integrated Product Development, AI-assisted requirements model creation
General availability

Requirements managers now have a more direct path to creating requirement models within 麻豆原创 Integrated Product Development by using natural language commands with Joule. This feature allows them to initiate new models, specify names, and apply templates in a single step, completely bypassing the need to navigate through complex folder structures. This streamlined approach provides a much faster starting point for new projects and empowers users to begin their work immediately without requiring deep knowledge of the repository layout.

Get started .

麻豆原创 Field Service Management, AI-assisted automated scheduling analytics
General availability

Field service dispatchers and consultants can now access clear, on-demand explanations of auto-scheduling results that demystify complex system logic. The new feature interprets scheduling reports and translates technical scoring details into business-friendly insights, explaining why specific technicians were assigned, why alternatives were passed over, and why certain activities remained unscheduled. This transparency drives a 12.5% increase in dispatcher productivity and a five percent reduction in erroneous resource allocations, strengthening trust in automated decisions while significantly reducing analysis time.

Get started .

麻豆原创 Digital Manufacturing, AI-assisted description enhancement
General availability

Quality managers documenting complex manufacturing issues can now generate clear, objective, and structured descriptions with minimal effort. 麻豆原创 Digital Manufacturing for issue resolution offers description generation that refines rough initial inputs, removes bias and subjective language, and produces balanced, factual problem statements. With support for multilingual translation and enhanced clarity, organizations can achieve up to five percent improvement in quality engineer efficiency during issue handling and up to 10% reduction in errors throughout the problem resolution process.

Get started .

麻豆原创 Business AI for finance

Dispute Resolution Agent (for 麻豆原创 S/4HANA Cloud Public Edition)
Beta release

When invoice disputes arise, accounts receivable specialists need to act quickly without sacrificing accuracy. 麻豆原创 S/4HANA Cloud Public Edition introduces an agent that automates root-cause analysis, scanning invoices, sales orders, delivery records, pricing agreements, and tax rules to identify the source of discrepancies. The agent detects incorrect charges and recommends compliant solutions, such as credit memo creation, enabling finance teams to resolve disputes faster, minimize manual investigation, and cultivate stronger vendor relationships through transparent, efficient processes.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted smart personalization of my home for applications
General availability

麻豆原创 S/4HANA Cloud Public Edition users can easily configure their home page with the most relevant applications through AI-assisted smart personalization. By describing their task in natural language, the system identifies the appropriate app, which can then be added to their home screen with a single click. This intuitive capability reduces the cost of personalizing the home page by 33%, shortens the learning curve for new users, and improves satisfaction by keeping frequently needed tools readily accessible.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted error explanation
General availability

When encountering system errors, 麻豆原创 S/4HANA Cloud Public Edition users can turn to a new feature that generates clear, natural language explanations and resolution recommendations. This capability transforms cryptic error messages into easy-to-understand guidance, helping users of all experience levels quickly rectify issues and continue with their work. By reducing error resolution time by five percent, organizations benefit from increased productivity, improved data quality, and shorter training cycles for new team members.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted sales order creation from unstructured data
General availability

Sales representatives benefit from a streamlined order creation process in 麻豆原创 S/4HANA Cloud Public Edition that handles unstructured data like PDF or image-based purchase orders. After uploading a file, 麻豆原创 Document AI automatically extracts the relevant information and proposes the data for a corresponding sales order request. This automation significantly reduces manual data entry, minimizes errors, and improves overall operational efficiency, allowing teams to process orders faster and enhance customer satisfaction.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted processing of payment advices with 麻豆原创 Document AI
General availability

Accounts receivable clerks can accelerate their workflow using the 麻豆原创 Document AI-powered payment advice processing feature in 麻豆原创 S/4HANA Cloud Public Edition. The system automatically extracts payment amounts, references, and currencies from diverse invoice formats across multiple languages, with a self-learning capability that continuously improves recognition accuracy. Organizations implementing this feature can reduce document processing time by 70%, cut template maintenance time by 83%, and decrease value loss from manual processing delays by 40%.

Get started .

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

Asset accountants gain clarity on complex fixed asset calculations through a new AI feature in 麻豆原创 S/4HANA Cloud Private Edition. The feature generates natural-language explanations that detail the origins of displayed values and how figures such as depreciation are calculated; for example, illustrating the impact of mid-year acquisitions with specific depreciation keys. This transparency reduces the effort required to analyze asset values, enables faster responses to asset-related questions, and helps mitigate compliance risks.

Get started .

麻豆原创 S/4HANA Cloud Private Edition, AI-assisted settlement rule proposal for asset capitalization
General availability

Overhead and asset accountants can now streamline the complex process of creating settlement rules for investment measures, eliminating the traditionally time-consuming, error-prone manual configuration. The solution automatically determines receivers, calculates percentages, and proposes feasible rules based on contextual data and user-defined instruction profiles. Organizations reduce the effort required to create full settlement rules by 50% while simultaneously improving accuracy in asset capitalization and enhancing overall operational efficiency across their financial processes.

Get started .

麻豆原创 Document and Reporting Compliance for 麻豆原创 S/4HANA Cloud Private Edition, AI-assisted electronic document error handling
General availability

Tax accountants navigating the growing complexity of e-invoicing mandates across multiple countries gain an easy way to decode technical errors without wading through intricate XML or JSON formats. Joule, integrated with 麻豆原创 Document and Reporting Compliance, delivers plain-language explanations of electronic document errors, enabling faster root-cause identification and more efficient resolution. Organizations get an 80% reduction in time spent understanding and resolving errors, dropping from 150 minutes to approximately 30 minutes. This results in faster processing cycles, reduced penalty risks, and improved cash flow.

Get started .

麻豆原创 S/4HANA Cloud Public Edition, AI-assisted error resolution for cost accounting
General availability

Operations managers in retail organizations can now access Joule via 麻豆原创 Order Management Services, enabling them to query order data and receive real-time, role-specific operational guidance across order processing, orchestration, sourcing, availability, returns, and fulfillment flows. Joule surfaces instant insights and recommended actions directly in the workflow, reducing the need to navigate multiple systems. This enables proactive intervention before issues escalate. The feature offers faster transaction access, improved responsiveness and accuracy, and lower operational risk, which support smarter, quicker decisions across the order lifecycle.

Get started .

麻豆原创 Business AI for spend management

Expense Report Validation Agent
General availability

Business travelers can enjoy a smarter, guided approach to expense report completion with an agent that proactively identifies missing items, prompts for necessary details, and clarifies confusing alerts throughout the submission process. By simplifying how users understand and resolve issues, the agent ensures accurate, policy-compliant reports with minimal effort required. This means a 30% reduction in time spent preparing and submitting reports, a 24% increase in first-pass approvals, and a noticeably improved employee experience that removes friction from the expense management process.

Get started .

Expense Pre-Submit Audit Agent
麻豆原创 Early Adopter Care

Expense report submitters can now catch receipt accuracy issues and policy breaches before hitting the submit button, avoiding the frustration of rejected reports and delayed reimbursements. This agent automatically reviews expenses during creation, surfacing compliance problems and offering smart suggestions for quick corrections. The agent uses a non-blocking design that keeps users in control of final decisions. Organizations benefit from a 10% decrease in sent-back expense reports, reduced rework for travelers, managers, and auditors alike, and a noticeably smoother reimbursement process that enhances the overall employee experience.

Get started .

Expense Automation Agent
麻豆原创 Early Adopter Care

Employees burdened by the administrative chore of creating expense reports can now delegate the heavy lifting to a Joule Agent. This agent automatically builds expense reports by aggregating transactions, populating custom fields based on contextual details and user history, and preparing everything for a quick review before submission. The outcome is up to 30%鈥� reduction in time on task for auto-generated expense reports. This offers a modern expense management experience that slashes manual data entry, accelerates the submission process, and frees employees to focus on high-value work rather than paperwork.

See the demo .

Concur Expense, AI-assisted configuration for audit rules
General availability

Expense administrators responsible for managing complex audit rule setups can now interact with their configuration environment in plain language, eliminating the need for deep technical expertise or tedious manual adjustments. This AI-assisted feature enables admins to search existing rules, create new ones, and receive real-time explanations simply by asking questions like “What rules apply to meals in France?”, delivering clear, actionable guidance instantly. The outcome is a 40% reduction in audit rule configuration effort, fewer support tickets, and empowered administrators who work with greater independence, accuracy, and confidence in maintaining compliance logic.

Get started .

Policy Navigator
麻豆原创 Early Adopter Care

Business travelers seeking quick answers to company travel and expense policies no longer need to sift through lengthy documents or wait for admin responses. Policy navigator in Joule allows employees to ask questions in natural language and receive clear, contextual guidance grounded in approved policies, whether planning a trip, in the middle of a journey, or completing an expense report. The result is in-the-moment policy clarity that prevents non-compliant spend before it happens, reduces support tickets, and empowers travelers to make confident, compliant decisions without disrupting their workflow.

Get started .

麻豆原创 Business AI for procurement

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

Procurement specialists can accelerate the development of their statements of work using the deliverables feature in 麻豆原创 Fieldglass Services Procurement. The feature analyzes the defined project scope and automatically generates precise, relevant deliverables that ensure tight alignment between buyer expectations and supplier commitments. By adopting this capability, organizations can reduce the time required to manually create SOW deliverables by 70% and cut the risk of poor outcomes by 50%, while fostering stronger collaboration during the negotiation process.

Get started .

麻豆原创 Business AI for customer experience

Catalog Optimization Agent
General availability

E-commerce product managers tasked with maintaining large 麻豆原创 Commerce Cloud catalogs gain an always-on agent that continuously reviews product descriptions, attributes, and translations against company quality standards. This agent pinpoints merchandising gaps and delivers actionable recommendations to enhance catalog accuracy, ensure consistency across languages, and improve product discoverability. The business impact is a 70% reduction in time to translate catalog data, 65% less time spent adding descriptions per asset, and a five percent reduction in data quality costs, all of which contribute to higher conversion rates and a more agile merchandising operation.

Get started .

麻豆原创 Revenue Growth Management, AI-assisted trade promotion creation
General availability

Key account managers in consumer industries can benefit from a streamlined, single-view promotion-creation experience in which simply naming a promotion automatically populates key fields. Drawing on master data, historical promotions, and learned preferences specific to each retailer, the system suggests dates, types, durations, and sell-in periods, then continuously refines its recommendations based on user edits over time. The impact is a 75% reduction in promotion setup time, 30% fewer data-entry errors and rework, and increasingly personalized suggestions that eliminate repetitive manual effort across promotion cycles.

Get started .

麻豆原创 Business AI for IT and developers

Joule Studio code editor and Joule Studio CLI

Building on the transformative capabilities of Joule studio low-code, 麻豆原创 is expanding the Joule studio family with two powerful new offerings designed to meet developers exactly where they work: Joule Studio code editor, a Visual Studio Code IDE extension, and Joule Studio CLI, a versatile command-line interface. Together, these tools deliver a unified, AI-assisted development experience that spans the full spectrum of development personas and preferences on Joule.

• Joule Studio code editor brings the intelligence of Joule directly into Visual Studio Code, the world’s most popular development environment, empowering pro-code developers with AI-guided scaffolding, contextual code generation, intelligent recommendations, and seamless integration with Joule, all without leaving their preferred IDE. 
• Joule Studio CLI extends this same power to the terminal, enabling developers and DevOps teams to automate project creation, manage configurations, execute deployments, and orchestrate CI/CD workflows through scriptable, command-line commands鈥攊deal for headless environments, automation pipelines, and teams that value speed and precision at the command line.

Get started .

Joule with 麻豆原创 Datasphere
General availability

Data professionals working within 麻豆原创 Datasphere can now accomplish informational, navigational, and transactional tasks through natural conversation with Joule. Whether asking how to use specific functionalities, retrieving details about a 麻豆原创 Datasphere instance, or switching system settings like language preferences, users receive instant answers with direct references to product documentation. Joule can even execute tasks directly from the conversation without requiring interaction with the standard interface. This direct execution reduces reliance on internal IT support and enables faster, more intuitive navigation throughout the platform.

Get started .

麻豆原创 Document AI, enhancements

Document level confidence
Customers now set confidence ranges for fields in the Schemas feature. When customers edit field settings, they can define their own thresholds for low, medium, and high confidence. These custom settings are reflected in the extraction results displayed for the relevant fields on the document details screen. See and .

Expanded Transportation Management
Customers can now use the Transports feature to export and import channels and workflows. See .

New schemas: business partner + delivery note for WM
The service plans embedded edition and premium edition now also support the standard document type, business partner document. See the list of supported document types in . Get started with 麻豆原创 Document AI, and .

Generative AI Hub in AI Foundation, enhancements

Metadata
Customers can now manage metadata for documents, collections, and chunks created with the Vector API to enable advanced filtering and organization of their content. For more information, see .

Retrieval API
Customers can merge and rank search results across multiple data repositories using the Retrieval API’s post-processing capabilities. For more information, see .

Prompt optimizations
Custom metrics are supported in prompt optimizations, enabling customers to define and optimize prompts based on their specific evaluation criteria. Only LLM-as-a-judge metrics with numerical or Boolean output types can be used in optimization tasks.For more information, see and . Customers can provide separate test and train datasets for prompt optimization. For more information, see .

Prompt registry
The prompt registry now enables customers to create and manage orchestration configurations declaratively, allowing them to version and track complex AI workflows alongside their prompts for better governance and reproducibility.For more information, see .

Secrets
Customers can now enter generic secrets using a form instead of JSON. The form appears in the Add Generic Secret dialog when you activate document grounding. A dropdown menu lets them choose the type of document repository. Depending on their selection, the remaining fields adjust dynamically, allowing them to complete the data. Some fields are already prefilled.If they prefer working directly with JSON, switch to the code view by clicking the 顒� icon. For more information, see .

New models available
New models are supported, including OpenAI GPT 5.2, Gemini 3.0 Pro, Perplexity Deep Research, and Anthropic Claude Opus 4.6.For more information on new and deprecated models, .

麻豆原创 Joule for Developers, ABAP AI capabilities, enhancements

New ABAP AI capabilities mean developers can expect a 20% reduction in time and effort to write ABAP/JAVA code, 25% reduction in time and effort to test ABAP/JAVA code, and 4.4% faster time to realized value.

This quarter, developers can now easily generate ABAP Unit tests for:

• Public, protected, and private methods of global ABAP classes
• Public methods of local classes within global class pools

See .

In addition, the documentation chat allows developers to interact with documentation on the 麻豆原创 Help Portal, providing context-aware answers and links to relevant documentation. This capability enhances productivity by offering quick access to related documentation directly within the development environment. See .

Finally, developers can now get AI-powered explanations of their ATC findings and code in the Custom Code Analysis/Custom Code Migration app. See and .

Get started .

麻豆原创 Business AI for industries

Tender Analysis Agent
General availability

Sales teams can elevate their tender response process with the Tender Analysis Agent, which automates the review of complex RFQ documents. The agent extracts critical product requirements, flags potential risks and policy gaps, and suggests optimized configurations tailored to customer needs. By reducing the effort to process incoming tenders by five percent and improving win rates, organizations can achieve measurable revenue growth while accelerating sales cycles and uncovering valuable cross-sell and up-sell opportunities.

Get started .

麻豆原创 Commodity Management, AI-assisted commodity work center
General availability

Commodity traders can transform how they capture and manage complex deals using the commodity work center in 麻豆原创 Commodity Management. Working alongside Joule, the feature converts verbal or written negotiations into detailed draft deals, automatically populating the numerous fields that traditionally require extensive manual entry. This enables traders to redirect their focus toward negotiating better commercial outcomes, while improving data accuracy and driving greater operational efficiency across their trading activities.

Get started .

麻豆原创 Intelligent Clinical Supply Management, AI-assisted predictive subject dynamics
General availability

Clinical trial coordinators seeking to boost their supply planning capabilities will find a powerful ally in 麻豆原创 Intelligent Clinical Supply Management. The predictive subject dynamics feature analyzes historical and real-time data to forecast patient enrollment trends and dropout rates, automatically generating insights that would otherwise require extensive manual analysis. This enables supply chain teams to redirect their focus to strategic decision-making, while reducing clinical inventory waste costs by up to two percent and improving demand forecasting accuracy across their trial operations.

Get started .

Joule with 麻豆原创 Intelligent Clinical Supply Management
General availability

Clinical supply professionals juggling multiple tasks and complex systems need quick access to information without disrupting their workflow. Together with Joule, 麻豆原创 Intelligent Clinical Supply Management delivers an intuitive, conversational interface that understands natural-language requests, enabling users to retrieve critical data and navigate to relevant applications effortlessly. This streamlined experience results in an 83% reduction in time spent on information searches, freeing teams to concentrate on higher-value activities and significantly boosting overall productivity.

Get started .

麻豆原创 Self-Billing Cockpit, AI-assisted document processing
General availability

Billing clerks managing self-billing workflows frequently encounter invoices arriving in a mix of formats鈥擡xcel, PDF, CSV, or text files鈥攐ften unstructured and spanning multiple languages. 麻豆原创 Self-Billing Cockpit addresses this challenge by leveraging intelligent document processing to parse and extract invoice data from virtually any format, converting it into structured payloads ready for automated billing. The result is significantly reduced time spent processing invoice line items, fewer customer-specific interfaces for integration specialists to build and maintain, and improved extraction accuracy through minimized manual intervention.

Get started .

麻豆原创 Business AI for business transformation management

Joule with 麻豆原创 Signavio solutions
General availability

Process analysts and optimization specialists working across complex organizational workflows require rapid access to diagrams, documentation, and performance metrics. 麻豆原创 Signavio solutions integrate with Joule to enable natural-language keyword searches across process diagrams, dictionary items, and help resources. At the same time, best-practice KPI recommenders guide users to the most relevant success measures. This intuitive approach delivers 50% faster information searches and navigation, ensuring teams make data-driven decisions with improved search quality and an enhanced overall user experience.

Get started .

麻豆原创 Signavio solutions, AI-assisted business process model and notation simulation insights
General availability

Process analysts leveraging 麻豆原创 Signavio can now access embedded business process model and notation simulations directly within their process diagrams, eliminating the need for fragmented tools and manual interpretation. Key metrics such as costs, cycle times, and resource utilization are automatically translated into clear, actionable summaries that highlight bottlenecks and opportunities for improvement. This streamlined approach reduces time to access process modeling insights by 50%, empowering teams to compare scenarios effortlessly and communicate findings to stakeholders with greater confidence and clarity.

Get started .

麻豆原创 LeanIX solutions, AI-assisted architecture guidance
General availability

Enterprise architects seeking to accelerate transformation initiatives can leverage 麻豆原创 LeanIX to surface actionable insights directly from their architecture inventory. The feature analyzes enterprise architecture data to identify opportunities and guides users through the workflows and tasks needed to efficiently act on recommendations. Organizations benefit from a 95% reduction in time to discover insights, 80% faster transformation execution, and a five percent reduction in value erosion from delayed action. Overall, this feature drives greater architectural productivity and more agile decision-making.

Get started .

Jonathan von Rueden is 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.

With the听听1H鈥�2026 release,听we鈥檙e听deepening those connections across the HR lifecycle. This release focuses on听four听core priorities:听connected,听suite-wide听AI; unified experiences that adapt to how organizations work;听processes designed for clarity, accuracy, and compliance; and stronger foundations for skills and long-term growth.听Together, these innovations help organizations听anticipate听needs earlier, reduce friction in daily work, and move forward with greater confidence.听

Connected AI that works across HCM

AI in HR delivers the greatest impact when it works continuously across the entire workforce lifecycle鈥攏ot as isolated features, but as connected capabilities that share context and insight.

The 1H鈥�2026 release expands听suite-wide听agentic AI听across 麻豆原创 SuccessFactors solutions, helping听employees听get clearer answers, act sooner, and keep听work moving听across roles and responsibilities.听A connected network of听听now supports areas such as recruiting, workforce administration, payroll, learning, performance, and talent development鈥攚orking together behind the scenes to help听anticipate听next steps and surface relevant guidance.

This release also introduces a growing听workforce knowledge network, bringing trusted external expertise and research directly into the flow of work through Joule.听Teams can now access expert-backed global employment guidance and听research-driven听insights without leaving their workflows鈥攕upporting听faster, more听confident decisions.

To听further听support learning in the flow of work,听intelligent Q&A in听听now helps employees find information more easily. AI听can deliver instant,听context-aware听responses drawn directly from an organization鈥檚 learning content,听along with relevant links and resources,听so employees can get answers quickly without searching through courses or documentation.听

Unified experiences that adapt to how work gets done听

As HR听tasks听become more embedded in听day-to-day work, experiences need to feel intuitive, connected, and responsive听wherever work happens. In the 1H 2026 release,听麻豆原创 SuccessFactors solutions continue to unify experiences across the suite, giving employees, managers, and HR teams what they need听in听the moment.听

• Connected recruiting and onboarding:听Native integration between听 solutions, , and听听can bring AI-enabled听recruiting, core HR, and onboarding together into a single, continuous experience, helping hiring teams move faster while听maintaining听consistency from candidate through new hire.听

• Tailored experiences,听built faster:听The new听extensibility wizard听can provide guided, step-by-step support for creating custom extensions on听听(麻豆原创 BTP) directly within听麻豆原创听SuccessFactors solutions, making it easier to adapt experiences to unique business needs while preserving governance.听
• Simpler, clearer employee moments:听A redesigned, configurable 401(k) experience听in听听for U.S.听employees helps simplify enrollment and management by clearly explaining employer contributions and guiding deferrals and beneficiary setup, helping employees make informed decisions with confidence.听

Processes designed for clarity, accuracy, and compliance听

In the 1H鈥�2026 release, 麻豆原创 SuccessFactors introduces new capabilities that help organizations bring greater clarity and rigor to pay practices.

With听pay听transparency insights听in the , organizations can analyze compensation patterns and potential pay gaps, supporting transparent, data-driven pay practices in-line with evolving regulatory expectations,听including in the EU.听

Skills governance听for sustainable growth听

Preparing for听what鈥檚听next requires trusted, consistent skills data that organizations can rely on across HR, talent, and workforce planning.

In the 1H鈥�2026 release,听we are听strengthening听the听听with enhanced听skills governance, providing a centralized interface to help manage skills, apply governance standards, and ensure alignment across 麻豆原创 SuccessFactors solutions and partner applications. This helps organizations improve听skills听data quality, maintain consistency at scale, and make more confident,听skills-based听decisions.听

A connected foundation for the future 

This听release听reinforces听麻豆原创鈥檚 continued focus on an intelligent, connected HCM听foundation鈥攐ne designed to evolve with your organization and support confident decisions at every stage of work. By bringing together data, AI, and experiences across the HR lifecycle, these听enhancements help organizations reduce friction today while听laying听the groundwork for听tomorrow.

To explore what鈥檚 included in this release, check out the or watch the overview .

Bianka Woelke is group vice president and head of Application Product Management for 麻豆原创 SuccessFactors.

Over decades, our customers have built powerful digital foundations on 麻豆原创 to run end-to-end business processes across their enterprises鈥攐ften extending and customizing these systems to support their unique business needs. Now, many are entering the next phase of transformation: modernizing their 麻豆原创 landscapes to unlock the full potential of AI.

As companies move to cloud-based 麻豆原创 environments and clean-core architectures, they are preparing to embed intelligence directly into business processes. This enables new forms of automation, with AI agents that operate across enterprise systems and execute increasingly complex tasks.

Modernizing these systems while introducing AI at scale is a significant undertaking. It requires technologies that integrate with existing applications, operate reliably within mission-critical workflows, and meet the governance standards enterprises demand.

That鈥檚 why, over the past few years, we have partnered with to combine advanced AI technology with deep business context. Our goal is to help organizations accelerate modernization and apply AI across the applications and processes key to their success. This collaboration will be showcased at NVIDIA GTC.

Building the foundation for enterprise-grade AI

Through our collaboration with NVIDIA, we are accelerating the entire life cycle of enterprise AI鈥攆rom model development to high-performance runtime execution鈥攁nd powering AI scenarios across our portfolio. ,  which consists of open libraries such as and , helps accelerate large-scale model training across distributed RL environments. It enables teams to build and refine enterprise-grade AI models faster.

Models are hosted through  and , where our customers and partners leverage those best suited to their use cases. microservices optimize inference performance, and we have observed up to a 20% improvement compared to another popular open source serving engine. Enabled by NVIDIA GPUs and NVIDIA NIM, the increased performance allows organizations to combine advanced AI models with trusted 麻豆原创 business data and processes to ensure that AI operates within the workflows that drive business operations.

Modernizing the business logic that runs the enterprise

AI models trained on 麻豆原创 knowledge and accelerated using NVIDIA technologies are already helping customers tackle some of their most pressing modernization challenges. For example, evolving business logic embedded in the 麻豆原创 systems that run their operations.

For decades, organizations have extended 麻豆原创 applications with custom ABAP code that reflects how their businesses operate. That logic captures years of operational knowledge across finance, supply chain, service processes, and more. But modernizing these environments for the cloud and preparing them for the next generation of AI-driven innovation can be complex.

To help accelerate this journey, 麻豆原创 developed . a foundation model trained exclusively on real-world ABAP code and the business logic used across 麻豆原创 environments. The solution incorporates specialized models for code-related tasks, including StarCoder2 for code completion, and Codestral for deeper code understanding and explanations. These models are served through NVIDIA NIM microservices to deliver high-performance inference.

brings these capabilities into the developer experience, helping teams analyze existing ABAP code, understand how customizations interact with core business processes, and generate new code when needed. By making decades of embedded business logic easier to interpret and update, we help organizations accelerate modernization and preserves the knowledge that makes their operations unique.

Connecting AI to business operations

The collaboration between 麻豆原创 and NVIDIA also explores how AI can operate within enterprise workflows to help organizations apply intelligence across both physical operations and complex planning environments. One emerging area is embodied AI, in which intelligence extends beyond software systems into the physical world. By combining AI reasoning with sensors, robotics, and enterprise data, organizations can connect real-world observations directly with digital business processes.

For example, predictive maintenance alerts from can trigger robotic inspections that analyze equipment using thermal, visual, and acoustic signals. These signals are evaluated alongside asset histories and maintenance records to identify potential issues. then orchestrates follow-up actions through , prioritizing work orders and guiding technicians with the right operational context. By linking physical-world insights with enterprise workflows, organizations can turn physical-world signals into coordinated enterprise actions.

The same principle applies to complex planning environments. Supply chains today must manage a constantly shifting web of constraints, from supplier availability and transportation disruptions to evolving customer demands. With NVIDIA, we are exploring technologies, such as NVIDIA Metropolis and NVIDIA Cosmos, to bring the latest AI advancements into warehouse management, safety, and asset inspection.

Together, we are also bringing new capabilities to  that combine agent-based reasoning with the  GPU-accelerated optimization engine. This enables planners to simulate complex supply chain scenarios and evaluate alternatives with more speed and accuracy. By integrating advanced optimization with 麻豆原创鈥檚 supply chain planning capabilities, organizations can dynamically model constraints, adapt plans as conditions change, and make more confident decisions in increasingly complex environments.

Collaboration with large-scale 麻豆原创 customers helps identify real operational bottlenecks, paving the way for AI-driven solutions. . The Taiwan-based global electronics manufacturer and manufacturing solutions provider will work with 麻豆原创 to develop AI-powered innovations for manufacturing and supply chain operations.

By combining 麻豆原创鈥檚 enterprise applications and business context and Foxconn鈥檚 manufacturing expertise, organizations can enhance operational efficiency, increase resilience, and advance decision-making across complex production and supply networks.

Experience agentic AI at NVIDIA GTC

麻豆原创 is enabling Joule Agents across its application portfolio, helping organizations automate tasks and coordinate complex workflows within business processes. At NVIDIA GTC, visitors will see how these capabilities are extended using  on to build agents tailored to specific enterprise scenarios.

And because 麻豆原创鈥檚 AI architecture is model-agnostic, organizations can bring their own models into these workflows, in addition to those deployed through 麻豆原创 AI Core. The hands-on experience at NVIDIA GTC will demonstrate how organizations can build AI-driven workflows that operate directly within the enterprise systems that run their business.

It all happens at , taking place March 16-19, 2026. Join us to see how 麻豆原创 and NVIDIA are helping organizations modernize enterprise systems, accelerate AI adoption, and move toward the AI-native enterprise:

• Attend our session: on Tuesday, March 17, from 2:00-2:40 p.m.
• Visit the 麻豆原创 booth, #2001, to explore agentic AI in action, participate in hands-on vibe-coding with Joule Studio, and witness next-generation enterprise automation

.

Brenda Bown is chief marketing officer for 麻豆原创 Business AI.

麻豆原创 is expanding the Joule solution across 麻豆原创 Concur solutions and introducing new automation capabilities:

• A new integration between Joule and Microsoft 365 Copilot, now available, embeds travel and expense tasks into everyday productivity tools. Employees can create and submit expense reports, upload receipts, book travel and receive policy guidance in 麻豆原创 Concur solutions without leaving Microsoft applications.
• Two new Joule Agents further streamline expense compliance and reporting.
  • Expense Automation Agent automatically creates and populates expense reports for employees so all they have to do is review, refine and submit.
  • Expense Pre-Submit Audit Agent validates receipts and flags discrepancies before submission to reduce report rejection and reimbursement delays.
  • Both agents are currently available through the 麻豆原创 Early Adopter Care program with general availability expected later this year.
• New AI-based rule creation tools simplify the complex task of managing policy rules in the Complete by 麻豆原创 Concur and Amex GBT, Concur Travel and Concur Expense solutions.
• The 麻豆原创 Sales Cloud solution now integrates with Booking Agent to streamline workflows and enhance productivity for sales teams.

麻豆原创 Concur and American Express Global Business Travel (Amex GBT) , an AI-enabled codeveloped solution for booking, servicing, payments and expensing. New capabilities include AI-enabled travel support with handoff to a live travel counselor and a specialized home page for travel managers. Concur Expense also integrates with Amex GBT Egencia for customers worldwide.

Joint customers of 麻豆原创 Concur solutions and can now create and manage American Express Virtual Cards in Concur Expense, supporting employee spending with controls and added security. The virtual cards can also be used in Concur Travel. This capability is available now to select U.S.-based American Express庐 Corporate and Business customers using Concur Expense with availability for all such customers planned for Q3 2026.

麻豆原创 Concur teams up with Visa to integrate Concur Expense and Visa through the Visa Commercial Integrated Partner program. Initially, real-time notifications (RTN) from Visa card swipes will automatically create expenses in Concur Expense. This capability is planned to be available through 麻豆原创 Early Adopter Care in Q3 2026. 麻豆原创 Concur solutions will now support RTN from all major credit card networks.

Additionally, 麻豆原创 Concur solutions are advancing corporate travel with enhanced booking, expanded global access and intelligent traveler support. The new experience in Concur Travel supports guest bookings, expanded Cleartrip content in India and additional airline options. TripIt Pro adds Image to Plan with Apple Intelligence and expanded Risk Alerts to help travelers organize itineraries and monitor disruptions.

Learn about鈥痶hese or join the . 

Visit the . Get 麻豆原创 news via  and .

Media Contact:
Kelly Sheldon Murray, +1 (978) 708-6821,鈥�kelly.murray@sap.com, ET

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

This has led to a 鈥淭erminal Renaissance,鈥� a return to text-in, text-out interaction.

For many applications, text works, letting users express intent naturally with no onboarding. However, text struggles to convey structured data that is common in business, and without real-time updates, static text results lose relevance the moment they鈥檙e generated.

Structured data is easier to digest when users can filter, sort, and visualize it鈥攖hat is why graphical user interfaces (GUIs) excel at presenting structured data and guiding users through complex workflows. But GUIs are expensive to build and rigid, forcing generic, one-size-fits-all solutions that struggle to provide the fluid, tailored experiences users now demand.

Text is flexible but limited; GUIs are robust but rigid. Generative UI is the unmet need between them and the new frontier for business software.

From static dashboards to dynamic workspaces

Imagine a procurement manager investigating a supply chain disruption. Instead of navigating five different applications and manually cross-referencing data, she asks: 鈥淪how me the suppliers at risk in Southeast Asia and model alternative sourcing scenarios.鈥�

This request sets agents to work behind the scenes. They gather and analyze live data, simulate outcomes, and calculate the projected impact of every alternative. Execution agents are also pre-positioned and ready to act on command.

The user doesn鈥檛 have to deal with any of this complexity. For them, a dynamic interface materializes in seconds鈥攏ot a generic dashboard, but a purpose-built mission control center. Interactive maps highlight affected regions and supply chain graphs update in real time. As the user tweaks parameters, risk scores adjust instantly. Embedded controls stand ready to trigger purchase orders or notify suppliers, enabling the user to decide and execute. Collaboration is simplified; colleagues can join a living workspace: no briefing decks, no context-setting calls.

This is the future: a business suite where a user鈥檚 intent defines their interface and their decisions drive action. To get there, we are combining Joule and Joule Agents with our vision for generative UI. This is not just about on-demand dashboards; it鈥檚 about steering a business with interfaces that adapt to each user’s role, context, and tasks. This is 鈥渧ibe coding鈥� for enterprise operations: shifting focus from syntax to intent.

We are entering an era where AI constructs UIs on the fly, allowing users to engage with them immediately. Generative UI marks the transition from static software suites to 鈥渂atch size 1鈥� applications that act like ephemeral control centers tailored to a specific problem.

Challenges and 麻豆原创鈥檚 answers

Delivering an intent-driven business suite at enterprise scale requires addressing complex realities. We are building generative UI because we understand its promise and its perils鈥攁nd we have unique assets to bridge that gap.

Accuracy

Large language models (LLMs) can produce plausible but incorrect outputs, or 鈥渉allucinate.鈥� A consumer chatbot that hallucinates a movie plot is tolerable; a procurement system that misrepresents supplier terms has real consequences. Our generative UI approach addresses this by visualizing data directly from systems of record with transparent lineage. Grounding the UI in real-time, trusted data is our first defense against inaccuracy.

Trust

If every interface is generated on the fly, how do users know it is reliable? Trust is built on consistency and predictability. Our generative UI is built on the familiar and proven architectural grammar of 麻豆原创 Fiori for lists, dashboards, and workflows. The content is bespoke and the structure is consistent and familiar, so users can always judge and adjust with confidence.

Complexity

Enterprise systems are sophisticated and unique. They are built over decades, encoding massive domain knowledge and business logic. Generative UI builds on Joule鈥檚 existing integration and orchestration capabilities, which already connect to systems across a landscape and coordinate agents to execute complex workflows. Generative UI leverages this foundation, letting users interact with deeply integrated processes through simple interfaces while Joule handles the orchestration underneath.

Why this matters now

The expectations set by consumer AI are real, and the gap between what employees experience at home and what they use at work is widening.

The future of enterprise software isn’t chatbots bolted onto legacy screens. It’s bespoke mission control鈥攊nterfaces that materialize around a user鈥檚 intent, grounded in live data, executed by agents, and governed by the user.

With that, we鈥檙e reimagining how work gets done.

Jonathan von Rueden is chief AI officer of 麻豆原创 SE.

The IDC MarketScape for Worldwide Talent Intelligence evaluates vendors using the IDC MarketScape model, which incorporates quantitative and qualitative factors to assess vendors’ current capabilities and future road maps for delivering value to customers seeking talent intelligence. According to the report, 麻豆原创 was recognized for strengths in 鈥渦nified and integrated skills framework, embedded AI and analytics, and an open data ecosystem.鈥�

Chasing innovation: powering the skills-based enterprise

At 麻豆原创, we have made consistent and strategic investments in skills, talent intelligence, and AI-driven workforce planning.

The talent intelligence hub is a unified skills framework embedded across the entire . It empowers HR with an AI-driven, consistent skills foundation to help optimize talent processes, enrich personalized employee learning experiences, and accelerate skills development鈥攅nabling organizations to build an agile, future-ready workforce.

Building on this foundation, skills and intelligence capabilities can be leveraged across multiple product areas. helps transform career growth, internal mobility, and success into a single, AI-powered, skills-based solution, helping to give leaders clear visibility into workforce capabilities while guiding employees to personalized opportunities, so you can build, retain, and deploy the talent your strategy needs to win. (generally available in 1H 2026) can enable optimized shift planning in manufacturing and production by helping to ensure the right people with the right skills are in the right place at the right time to help prevent the costly impacts of understaffing or overstaffing.  And the can bring together people, skills, and business data, from 麻豆原创 SuccessFactors solutions and beyond, into actionable insights that help leaders make more informed people and business decisions.

We are also accelerating innovation with new Joule Agents to help automate repetitive tasks, guide employees with real-time, context-aware support, and enable accuracy across core HR processes, so that HR can focus on strategic people initiatives. The , now generally available, and the upcoming Career and Talent Development and People Intelligence Agents (both planned for 1H 2026) will deliver AI capabilities to help manage performance reviews, compensation planning, skills distribution, retention, personalized development, and succession. And with 麻豆原创鈥檚 acquisition of SmartRecruiters, we are strengthening our talent acquisition capabilities to deliver an even more unified, intelligence-driven hiring experience.

These innovations help organizations close skills gaps and empower employees with meaningful, data-driven growth opportunities, helping them thrive in an ever-changing workplace.

Customer insights: real outcomes from skills transformation

Our customers say it best when it comes to the impact of our skills-based innovations.

• , a global business and technology partner, is building a skills engine to support the employee lifecycle. 鈥淪kills are at the core of our company, as they support both clients and employees. Our promise to 鈥榞et the future you want鈥� means thinking about future client needs and employee skills and career development. 麻豆原创 SuccessFactors HCM is key in our skills-first approach to our people experience transformation,鈥� Jihane Baciocchini, vice president and head of Talent Acquisition, Capgemini, said.
• , one of the world鈥檚 leading pump and water solutions companies, is utilizing the talent intelligence hub functionality of 麻豆原创 SuccessFactors solutions to create a single source of skills information, enabling it to connect people and business needs in new ways. 鈥淭here鈥檚 a consensus that what got us here won鈥檛 get us there: we need new skills and capabilities. And that鈥檚 where the talent intelligence hub in 麻豆原创 SuccessFactors solutions comes in. It鈥檚 helping us build one skills foundation that feeds into critical decisions on talent鈥攁nd transform skills into something we live and breathe every day,鈥� Mads Kidmose, head of HR Technology and Data Foundation, Grundfos Holding A/S, said.

What鈥檚 next

This is a critical moment for HR leaders, as talent intelligence platforms are transforming how organizations hire, develop, and retain their workforce. Looking ahead to 2026, our focus remains on expanding skills-based capabilities and delivering AI solutions that can empower every organization to grow with confidence and thrive.

Read听听report.

Lara Albert is chief marketing officer for 麻豆原创 SuccessFactors.

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.

We鈥檙e entering a new era, according to 麻豆原创 Executive Board Member Muhammad Alam, in charge of 麻豆原创 Product & Engineering: 鈥渢he era of agentic AI, where AI moves from being just a tool to becoming your trusted teammate.”

Joined on stage by 麻豆原创 CTO Philipp Herzig and Michael Ameling, president of 麻豆原创 Business Technology Platform, Alam set the stage during the kick-off keynote, saying: 鈥淎s developers, you are not on the sidelines of this AI revolution. You are the revolution. And we are here to supercharge you for what鈥檚 next.鈥�

Supercharging developers

Together they dismissed suggestions that AI will replace developers. 鈥淭he truth is that developers aren’t going away,鈥� Alam said. 鈥淭hey are getting supercharged. They’re becoming the architects of smart connected businesses. So, the real question isn’t if we need developers; it’s how fast can we empower them to thrive and lead in this AI-native era?鈥�

Ameling, Alam, and Herzig outlined 麻豆原创’s vision and highlighted the integration of AI, data, and intelligent agents to transform business processes and drive innovation. They also emphasized the importance of a unified data fabric and the deployment of advanced AI models and agentic technologies within the 麻豆原创 ecosystem.

In this new business environment, they noted that every enterprise is becoming a data company and every user experience鈥攆rom the front line to the boardroom鈥攊s becoming AI-driven.

鈥淎s developers, you don鈥檛 just code anymore,鈥� Alam said. 鈥淵ou also design intelligent workflows and supervise AI agents to shape real business outcomes.鈥� To help developers do this, 麻豆原创鈥檚 strategy centers on empowering them with applications, connecting them with data, and supercharging them with AI.

Click the button below to load the content from YouTube.

Always allow YouTube

麻豆原创 BTP is the foundation for AI agents

All this runs on 麻豆原创 Business Technology Platform (麻豆原创 BTP), which serves as the foundation for building and managing AI agents鈥攂oth 麻豆原创 built and custom developed. While 麻豆原创 BTP is the engine, the Business Transformation Management portfolio is the navigator, ensuring technology translates into real business impact. It aligns strategy, process, and people, turning AI-driven potential into sustainable transformation at scale.

Alam identified three broad themes during the keynote:

First, he said 麻豆原创 is continuing to make 麻豆原创 more open. As part of that, he announced 麻豆原创 Snowflake, which brings the full data and AI capabilities of Snowflake as a solution extension to 麻豆原创 Business Data Cloud (麻豆原创 BDC). This partnership is exactly what joint customers have been asking for, Alam shared.

Second, he said 麻豆原创 will provide developers with the most context-rich agentic platform, including the most deeply grounded set of ready-to-use agents that developers can customize to their needs. 鈥淭oday, you鈥檒l hear about creating custom Joule Agents using low-code and pro-code tools with agent builder in Joule Studio as part of 麻豆原创 Build鈥� Alam said.

鈥淲e鈥檙e also standardizing AI agent interoperability with the agent-to-agent protocol, allowing your agents to collaborate securely across ecosystems,鈥� he added.

Third, he announced 麻豆原创鈥檚 first foundation model built specifically for structured business data: 麻豆原创 RPT-1, pronounced 鈥溌槎乖� Rapid One.鈥� 鈥淥ur relational pretrained transformer delivers enterprise-grade accuracy and scale, outperforming both LLMs and AutoML for tabular AI, which is critical for building reliable high-value agents,鈥� Alam said.

鈥淚n short, we鈥檙e embracing an open ecosystem, supercharging agents with deep process and data context, and giving you the tools to amplify AI and agents,鈥� he said. As the keynote continued, Ameling and Herzig detailed these and other innovations, explaining how they will help developers work smarter and achieve more.

麻豆原创 BDC and Snowflake

Ameling expanded on the new partnership with Snowflake, which will bring Snowflake鈥檚 fully managed data and AI capabilities to 麻豆原创 customers. Together with the introduction of 麻豆原创 BDC Connect for Snowflake, he said this will result in cost savings and simplified data landscapes. 鈥淭his enables you to integrate 麻豆原创 and non-麻豆原创 data products seamlessly between 麻豆原创 BDC and Snowflake, so that you can deploy intelligent applications faster and share across your preferred data marketplace.鈥�

Ameling also positioned 麻豆原创 HANA Cloud as 鈥渢he database AI was looking for.鈥� With 麻豆原创 HANA Cloud and 麻豆原创 BDC, 麻豆原创 provides the best business data fabric to help address these challenges, he said. 鈥淲ithout 麻豆原创 HANA Cloud, you would have one database for each and every data representation, which leads to disaggregated data siloes that limit your AI potential. With 麻豆原创 HANA Cloud, we have all these powerful engines in one integrated, multi-model database.鈥�

Building on this, Herzig emphasized that every business requires a strong data foundation because 鈥淎I is nothing without well-organized data…On top of the data foundation sits our AI Foundation that allows you to not only use the latest frontier AI technologies out there in the market, but also to extend 麻豆原创鈥檚 out-of-the-box AI capabilities and build your own experiences deeply contextualized in your business processes and data.鈥�

麻豆原创 pioneers a tabular foundation model

Herzig then explained that 麻豆原创 RPT-1 was designed to address a crucial problem for developers and enable them to deliver much better predictive capabilities, enterprise-grade accuracy, and scale to business customers.

Until now, Herzig said, 鈥淲e still had to go back to good old machine learning 鈥o train what we call 鈥榥arrow鈥� AI models that are specifically made for each [business] task. Therefore, you really had to train a hell of a lot of models.鈥� For example, to solve 10 predictive tasks across 10 different entities like company codes or plants would require training 100 different models.

鈥淲hat we really want to do is get rid of all these models and just introduce one giant model that only requires a small amount of data to learn from,鈥� he said. That鈥檚 what 麻豆原创 RPT-1 is. 鈥淲e believe 麻豆原创 RPT-1 is the most capable predictive foundation model that鈥檚 out there today,鈥� he said, delivering much higher prediction quality while being very fast and super-efficient in terms of resource requirements.

Joule, Joule Agents, and AI assistants

The 麻豆原创 CTO also emphasized that the company is committed to providing developers with the most context-rich agentic platform. He noted that 麻豆原创 has already shipped 20 Joule Agents across lines of business and will have approximately 40 by the end of the year, and that these agents can leverage more than 2,100 pre-delivered Joule skills. In addition, more than 300 embedded AI scenarios across product lines are available for customers to date, including Joule Agents, growing to 400 use cases in total by the end of the year.

Ameling added: “Our promise is simple: build with intent. You describe the outcome and 麻豆原创 Build uses AI agents to generate code, logic, and UIs for you, all with seamless access to your applications and data while you stay in the flow… [麻豆原创] Joule for Developers enables vibe coding experiences to make intent-based development simple and intuitive.”

麻豆原创 is taking it one step further by providing extensions to work with VS code, Windsurf, Cursor, OpenAI Codex, Claude Code, Cline, and more directly in 麻豆原创 Build. “You choose a tool, and we meet you where you are,” Ameling said. He also announced that fine-tuned ABAP LLMs with ABAP 1 on AI Foundation will be published in Q4 this year.

麻豆原创 is redefining how developers interact with AI through innovations in Joule and agentic AI, but also in terms of physical AI. Herzig welcomed Torsten G. Mueller, Group CIO and COO BPS at Sartorius, to discuss how the partnership between Sartorius, NEURA Robotics, and 麻豆原创 is bringing to life robots that understand the what, when, and how based on live business context. 鈥淭his is how we鈥檙e really imagining the future, right? Humans and robots working in harmony through Joule, through AI,鈥� Herzig said.

Quantum computing

Looking to the future, Herzig ended the keynote by talking about another 鈥渃ompute paradigm that is still hard to seize鈥�: quantum computing. While he made it clear that 麻豆原创 is not building a quantum computer, 麻豆原创 is teaming up with quantum hardware leaders, like IBM鈥攚hose Director of Research and IBM Fellow Jay Gambetta joined via video鈥攖o help evaluate quantum computing for business processes and applications.

鈥淲e believe quantum will join classical and AI compute in your stack, and we鈥檙e embedding it into the processes and apps you鈥檙e already using, so it just shows up in the workflows of your enterprise,鈥� Herzig said. 鈥淎nd of course, with the cloud, we scale it all. Now, 麻豆原创 has got you covered, and you鈥檝e got your business covered.鈥�

Early results in proof-of-concept applications of 麻豆原创鈥檚 robotics initiative, Project Embodied AI, demonstrate up to 50 percent reductions in unplanned downtime, up to 25 percent improvement in productivity, and significant reductions in operational errors across manufacturing, warehouse automation, and quality inspection.

These results are among the reasons why 麻豆原创 has expanded its Embodied AI ecosystem through partnerships with leading robotics companies and robotic enablement partners, as announced this week at 麻豆原创 TechEd. This builds on the recently announced collaboration with NEURA Robotics and NVIDIA to drive the future of physical AI.

The Embodied AI initiative extends the impact of into physical operations by making robots cognitive: able to autonomously execute complex tasks while understanding the broader business context in which they work. This empowers enterprises to faster adapt to changing operational environments.

麻豆原创 is uniquely positioned to deliver these innovations because of its decades of experience with business applications deeply integrated into the processes that power the modern enterprise. This allows 麻豆原创 customers to integrate robotics into the same business functions seamlessly, in a way no other company can. The result of our new robotics partnerships includes new proof-of-concept applications of embodied AI that demonstrate the business value and return on investment of our approach.

Cutting-edge experiments demonstrate measurable productivity gains

, a leading name in refrigeration, air conditioning, and heat pump technology, teamed up with 麻豆原创 and NEURA Robotics to revolutionize warehouse logistics. In a recent pilot proof-of-concept, BITZER鈥檚 warehouse became a testing ground for one of Europe鈥檚 most advanced humanoid robot, , which was able to perform pick-tasks on its own in real time.

The tasks are selected by embodied AI agents. The process also integrates 麻豆原创鈥檚 business logic from through (麻豆原创 BTP). Prior to its warehouse deployment, 4NE1 was trained virtually using NVIDIA’s Isaac Sim software. This ensured the robot was fully prepared for real-world operations. By integrating embodied AI into warehouse operations, BITZER could reach 24/7 utilization and a high level of responsiveness.

The technology can add to human expertise, stepping in during demand fluctuations and peak periods. It also complements regular shifts with flexible and scalable support. This ensures operations remain agile and efficient, even under varying workloads. Thanks to a single source of truth, orders can be expanded or cancelled in near real time, as robots execute changes almost instantly. This improves reaction times and enables BITZER to maintain high service levels while optimizing the use of resources.

鈥淲e are excited to join the Embodied AI initiative with 麻豆原创 and NEURA. We believe this collaboration will enhance our operational efficiency and drive innovation in our processes.鈥�

Christian Stenzel, Vice President of Corporate Organization and IT, BITZER

Transforming warehouse operations at Sartorius

Imagine stepping into a warehouse in which intelligent machines work side-by-side with humans. The first proof of concept for embodied AI at shows it is possible and marks a milestone in the journey to next-level logistics.

鈥淪o far, like many others, our focus was on fixed automation, in which specialized equipment handles only a single task. Now we鈥檙e making automation intelligent, and far more dynamic, to help us navigate a fast-moving world.鈥�

Steffen Dietz, Manager of Business Process Management in Operations and Supply Chain, Sartorius

The proof of concept, also delivered through the partnership with 麻豆原创 and NEURA Robotics, demonstrates how cognitive robots can support manual workstations in an advanced warehouse environment. Here, the humanoid robot 4NE1 was trained with Sartorius products in NEURA Robotics鈥� lab. The solution builds on an 麻豆原创 S/4HANA migration and 麻豆原创 Extended Warehouse Management (麻豆原创 EWM) rollout in May, which established the foundation for leveraging the latest capabilities from 麻豆原创.

The result boosts efficiency and enhances operational resilience. 鈥淲e鈥檙e really happy to help spearhead this new age together with 麻豆原创 and NEURA,鈥� Steffen Dietz, manager of Business Process Management in Operations and Supply Chain at Sartorius, shared.

Optimizing automotive production at Martur Fompak

, a global leader in automotive seating systems, teamed up with  and 麻豆原创 to explore how humanoid robots could transform field operations workflows.

Humanoid offers robots that provide cost-effective industrial automation and warehouse solutions, with modular designs that enable configurations for logistics operations, asset monitoring, and scalable field service applications.

Together the team is testing how cognitive robotics can support picking and packing operations at the company鈥檚 30 production plants across various continents and countries.

The early exploration connects Humanoid modular robots with 麻豆原创 solutions to execute workflows such as component retrieval, tray loading, and precise placement into production containers. 麻豆原创鈥檚 embodied AI agents provide context awareness around production orders and component variants.

“麻豆原创’s AI platform gives our robots intelligence to adapt and scale with enterprise needs, which creates flexible automation.”

Artem Sokolov, Founder and CEO, Humanoid

Initial findings demonstrate the value in automating repetitive and ergonomically demanding tasks, such as unpacking parts, handling trays, or supporting kitting processes. These experiments will be the foundation for a broader transformation in which humanoid robots participate in 麻豆原创-driven manufacturing environments and logistics processes.

Robotics company partners

Building upon these successes, 麻豆原创 announced the following additional partnerships:

AgiBot

Agibot creates general-purpose embodied robot products and an application ecosystem. The company delivers a complete product portfolio and deploy across all major application scenarios.

“Our 麻豆原创 partnership transforms industrial automation by combining humanoid capabilities with enterprise intelligence that understands business context,” said Peng Zhihui, founder of .

.

ANYbotics

ANYbotics provides a full-stack autonomous inspection solution that combines autonomous robotics with inspection intelligence.

“Integrating this continuous flow of inspection intelligence with 麻豆原创 makes operations not only autonomous but truly intelligent, where issues are predicted, understood, and prevented before they affect production,鈥� said Dr. P茅ter Fankhauser, CEO and co-founder of .

.

Booster Robotics

Booster Robotics provides T1 humanoid robots for warehouse operations and field maintenance.

“Our humanoid platforms, with 麻豆原创’s intelligence, creates an adaptive automation foundation that understands business processes and operational context,” said Cheng Hao, CEO of .

.

Galbot

Galbot’s fully autonomous, general-purpose humanoid robots have been deployed across a wide range of applications, including industrial, logistics, retail, and healthcare sectors. Powered by proprietary vision-language-action models, the Galbot G1 autonomously performs complex tasks such as precise parts sorting, industrial bin handling, and end-to-end pharmacy operations. These models enable Galbot robots to rapidly adapt to dynamic environments, ensuring high precision and efficiency even in challenging real-world conditions.

“Our collaboration with 麻豆原创 marks a key milestone in transforming how robots understand and operate within enterprise environments. By integrating business context awareness into our robots, we’re creating automation that seamlessly adapts to shifting operational priorities in real time,” said He Wang, founder and CEO of .

.

Humanoid

Humanoid offers reliable HMND 01 humanoid robots that provide cost-effective industrial automation and warehouse solutions, with modular designs that enable configurations for logistics operations, asset monitoring, and scalable field service applications.

“麻豆原创’s AI platform gives our robots intelligence to adapt and scale with enterprise needs, which creates flexible automation,” said Artem Sokolov, founder and CEO of .

Unitree Robotics

Unitree Robotics provides advanced quadruped Go2 robots for warehouse navigation and asset inspection, plus G1 humanoids with human-like dexterity for logistics operations, alongside industrial B2 models for outdoor facility maintenance.

“麻豆原创 embodied AI agents will revolutionize enterprise autonomous operations from warehouse management to predictive maintenance across facilities,” said Wang Xingxing, CEO and founder of .

.

Robotics enablement partners

麻豆原创 also introduced the following robotics enablement partners to connect humanoid and mobile robots, optimize intralogistics, streamline inspections, and orchestrate physical assets enabled by 麻豆原创 Business AI and automation technologies:

Capgemini

Capgemini explores the value that can be derived from the convergence of advanced technologies such as agentic and multi-agent AI systems, humanoid robotics, reinforcement learning, spatial computing, real-time 3D environments, and conversational AI. and 麻豆原创 are jointly exploring physical AI to help organizations gain a competitive edge.

Cyberwave 

Cyberwave connects 麻豆原创 systems to the physical world through its Physical AI platform, which integrates robots, sensors, and digital twins into enterprise workflows.

鈥淭ogether with 麻豆原创, Cyberwave turns enterprise data into coordinated physical action 鈥� bridging the gap between digital intelligence and real-world operations through Physical AI,鈥� said Simone Di Somma, founder of .

HCLTech

HCLTech provides automation expertise through its AI Force platform and 麻豆原创 integration capabilities, leveraging in collaboration with 麻豆原创 to accelerate generative AI-led robotics solutions.

“Our collaboration with 麻豆原创 enables cognitive robotics to seamlessly integrate with enterprise systems, transforming business operations through automation,” said Vijay Guntur, CTO and head of Ecosystems at .

KINEXON

KINEXON brings physical AI to day-to-day material flow management, helping customers scale mixed-fleet operations with a vendor-agnostic orchestration platform for autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and manual vehicles.

“Our collaboration with 麻豆原创 infuses business-driven agentic reasoning into real-world material movement planning and execution, maximizing utilization and throughput,” said Dr. Alexander Huettenbrink, co-CEO of .

Lighthouse

Lighthouse transforms business complexities into streamlined digital solutions, leveraging expertise across 麻豆原创 Intelligent Asset Management, 麻豆原创 Business AI, and 麻豆原创 BTP. 

鈥淓mbodied AI has huge potential for use cases, including asset and site inspection, health and safety, and quality inspection to deliver more resilient, flexible operations. We see major customer needs today, such as hazardous environments on offshore platforms in the oil and gas industry, utilities, and transportation,” said Urs Gehrig, managing director of Business Development at .

SinoSwissHub

SinoSwissHub is launching a regionally compliant, 麻豆原创-integrated orchestration platform for multi-robot fleets, with humanoids as the centerpiece.

鈥淲e don鈥檛 just connect robots to an 麻豆原创 system; we enable real-time physical data to reinvent processes and build adaptive, resilient value chains together with 麻豆原创,鈥� said Yuki Long, founder and CEO of and Aimbo Robotics.

Through these strategic alliances, 麻豆原创 continues to lead the evolution from traditional robotic tools to those that empower autonomous operations, informed by deep business context.

To explore how 麻豆原创 technology makes proofs of concepts possible in robotics, explore the . To get involved in 麻豆原创’s Embodied AI initiative, .

Dr. 艁ukasz Ostrowski is head of Embodied AI and Robotics at 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.

Get started .

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.

Get started .

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.

Get started .

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%*.

Get started with .

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.

Get started .

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.

Get started .

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%*.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started .

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.

Get started with .

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.

Click the button below to load the content from YouTube.

Always allow YouTube

Get started with .

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. .

.

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.

Click the button below to load the content from YouTube.

Always allow YouTube

Deep dive into and get started with .

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.

Get started .

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%*.

Click the button below to load the content from YouTube.

Always allow YouTube

Get started .

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.

Watch a video: 鈥溾��

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%*.

Get started .

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�*.

Get started .

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.

Get started .

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.

Get started .

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%*.

Get started .

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.

Before diving into the heart of the keynote, Steinhaeuser invited 麻豆原创 solution area CMOs to deliver lightning-fast recaps of news from the various 麻豆原创 Connect event tracks. In just under two minutes each, they covered finance, procurement, supply chain, HR, and customer experience. From autonomous accounting and next-gen procurement to AI-driven talent acquisition and smarter customer loyalty, the message was clear: across every business function.

The real challenge: connecting priorities

As Steinhaeuser pointed out, 鈥淭he reality is each business area has its own unique priorities and, of course, all-important urgent matters.鈥� The real challenge is not just launching new features; it鈥檚 aligning processes, data, and teams to conquer uncertainty and achieve true customer focus. 鈥淪imply putting an [AI] agent on top of a broken process will solve nothing,鈥� he said.

The flywheel: AI, data, and apps in motion at 麻豆原创

So, how does it all work together? Enter the 鈥渇lywheel鈥� model: the dynamic cycle of AI, data, and applications that drives synergy across the enterprise. This is not just a theoretical approach. Steinhaeuser showed how 鈥溌槎乖� runs 麻豆原创鈥� using the flywheel model.

First, he said, 麻豆原创 uses 鈥渞ole-based AI assistants, powered by specialized agents, [to] support team members across all areas of 麻豆原创.鈥�

Next comes data. Earlier this year, 麻豆原创 became 鈥渃ustomer zero鈥� for (麻豆原创 BDC), connecting all enterprise data in a single layer to generate faster and better insights across financial, workforce, and sales planning. 鈥淲e’re excited to go live with the first set of intelligent apps, starting with People Intelligence,鈥� he added.

Finally, the app layer: 麻豆原创 has moved from 麻豆原创 ERP Central Component (麻豆原创 ECC) to and , through RISE with 麻豆原创. 鈥淭he 麻豆原创 Business Suite is where data is created and where AI delivers impact,鈥� Steinhaeuser said.

But processes continuously evolve with AI, he said, noting that business transformation management, powered by solutions like and , helps 麻豆原创 and its customers continually improve processes and architecture, with AI embedded everywhere. The company also uses to ensure employees stay informed and engaged at every step.

鈥淒riving 麻豆原创’s own transformation, I understand the challenges you face,鈥� Steinhaeuser said. 鈥淚 am convinced leveraging the flywheel of AI, data, and apps across the entire 麻豆原创 Business Suite is how we win together.鈥�

Embedded AI: tangible value, secure, and seamless

Brenda Bown, chief marketing officer of Business AI at 麻豆原创, took the stage to highlight how business AI is showing up in day-to-day work. 鈥淚’ve heard three consistent themes in conversations [with customers]: first, you want AI that can provide tangible value; second, that is secure and properly governed; and third, that works seamlessly across your teams and business. We’re here to deliver just that,鈥� she said.

Joule is now embedded in use cases in trusted 麻豆原创 applications and is making work faster and easier across the enterprise. 鈥淏y the end of this year, we will have more than 400 of these AI use cases,鈥� Bown said. Joule Agents automate tasks across departments, and the new agent builder in (generally available in December) helps customers extend, build, or customize their own agents. 麻豆原创 LeanIX AI Agent Hub and agent mining capabilities in 麻豆原创 Signavio provide governance and transparency for AI agents.

Bown noted that customers like Matur Fompack are using Joule in 麻豆原创 SuccessFactors to hire faster and improve career development. 鈥淭he results are phenomenal: a 48 percent reduction in HR process execution time and 40 percent faster employee development and career planning, and, most importantly, a better employee and candidate experience,鈥� she said.

For processes that require multi-step workflows and nuanced decisions, 麻豆原创 introduced a new generation of role-based AI assistants. 鈥淭hey know your role in the organization, because they are role and context aware,鈥� Bown said. These assistants tap into the right agents for the job, removing any guesswork and helping humans unlock new levels of insight and productivity.

She also showcased how agents collaborate across departments, automate workflows, and even extend 麻豆原创鈥檚 business logic to autonomous devices like robots. Early pilots with partners like NEURA Robotics are already showing Joule Agents planning and executing real work in the real world.

Data and intelligent applications: unified and actionable

Data is only valuable when it is actionable. Irfan Khan, president and chief product officer for 麻豆原创 Data and Analytics, highlighted 麻豆原创 BDC, which unifies enterprise data and powers intelligent applications. 鈥溌槎乖� BDC offers the most powerful foundation for connecting your existing data, building next-generation applications, and the ability to foster and deploy reliable AI,鈥� he said. And the new 麻豆原创 Business Data Cloud Connect solution enables secure, bi-directional data sharing with partners like Databricks and Google Cloud.

Intelligent applications bridge the gap between people and AI. They support smarter decisions and collaboration. 鈥淭hese applications learn from your data and include business simulations to support every business leader with smarter decisions,鈥� Khan explained. 鈥淚f we don’t have a reliable data foundation built around trust, having reliable and resilient data, it becomes very debatable whether or not AI will succeed.鈥�

From insight to action: transformation in practice

How do organizations turn strategy into action? Michael Ameling, president of 麻豆原创 Business Technology Platform (麻豆原创 BTP), demonstrated how 麻豆原创 Business Suite helps drive innovation by uniting core applications, data, and AI, all powered by 麻豆原创 BTP and Business Transformation Management solutions. 鈥淟et’s say you want to understand and improve a business process,鈥� he said. 鈥溌槎乖� Signavio lets you dive deep and understand every detail, and can suggest concrete actions. Then, use those insights to improve the process in 麻豆原创 Build by automating processes and building your own agents.鈥�

He demonstrated how 麻豆原创 BTP and the Business Transformation Management portfolio can help organizations connect systems, gain visibility, and automate processes. Tools including 麻豆原创 Signavio, 麻豆原创 Build, and 麻豆原创 Integration Suite are helping customers like Blue Diamond Growers streamline operations and accelerate transformation.

Services and support: accelerating innovation and realizing value

麻豆原创鈥檚 Anja Schneider, SVP and global head of Premium Engagement and Advisory, wrapped up this segment of the keynote by focusing on how the company鈥檚 services and support teams help customers realize the full value of their 麻豆原创 investments.

鈥淲e鈥檙e with you every step, like a personal trainer,鈥� she said, highlighting how 麻豆原创鈥檚 suite methodology, integrated tools like WalkMe and 麻豆原创 Cloud ALM, and expert guidance help customers realize the full value of their 麻豆原创 investments. She pointed to IBM鈥檚 transformation project as proof: working with 麻豆原创 MaxAttention teams and a clean core approach, upgrades went smoothly with low incidents for more than 150,000 users across 175 geographies.

Customer perspective: Southern California Edison鈥檚 journey

Real-world impact matters. Southern California Edison (SCE) SVP and CIO Todd Inlander shared how the utility company鈥檚 transformation journey with 麻豆原创 is helping modernize its foundational systems and optimize back-office processes. Facing unprecedented demand and environmental challenges, the company is leveraging 麻豆原创 solutions, including 麻豆原创 Business AI capabilities, to transform its operations.

鈥淲e need to adhere to our mission: to deploy safe, reliable, affordable power,鈥� he said. 鈥淲e can’t do that by doing things the way we’ve always done. We have to incorporate 麻豆原创. We’re using it to transform the way we work in our environment. We need to leverage AI because we don’t have enough humans to do all the work. We have to scale.鈥�

As SCE deploys 麻豆原创 Business Suite over the next year, it鈥檚 focusing on keeping a clean core and reducing customizations. 鈥淲hen we implemented ECC 15 years ago, about 66 percent of our enhancements were never used. We’re learning from that experience,鈥� Inlander said. He went on to note that SCE will use the 麻豆原创 deployment time to continue to transform its back-office operations. 鈥淲e’ll be integrating Joule and other AI solutions because doing things the way we’ve always done them and expecting a different outcome is the definition of insanity.鈥�

Steinhaeuser closed the keynote with a look to the future: 鈥淲e鈥檝e made great progress across all lines of business to deliver a unique experience for you鈥攚ith AI becoming your personal assistant, powered by data that defies boundaries and applications that take insight to action. The cross-capabilities you just saw now make the flywheel spin.鈥�

The future is here, and is powered by the synergy of AI, data, and applications. Every business can turn innovation into impact.

gives organizations the tools to lead with confidence. Part of the , 麻豆原创 SuccessFactors brings together global core HR, AI-driven insights, and a unified skills foundation to connect people and processes, close skills gaps, simplify compliance, and build a workforce ready for what鈥檚 next.

With the second half 2025 (2H 2025) product release, we鈥檙e excited to introduce hundreds of new features and enhancements in 麻豆原创 SuccessFactors, many enabled by AI. Together, these innovations help HR teams, business leaders, and employees work smarter, move faster, and stay future-ready.

Drive better people and business decisions

Data about people, skills, performance, and business outcomes exists everywhere, but without a clear view, it鈥檚 difficult to act. , now generally available, is designed to help organizations make better workforce decisions by unifying 麻豆原创 and third-party data. Through intuitive dashboards, AI-assisted insights powered by Joule, and hundreds of HR metrics, leaders can now move from insights to action with unprecedented speed.

With pre-built use cases spanning critical areas like skills, compensation, recruiting, learning, performance, and succession, People Intelligence makes it easier to uncover trends, identify opportunities, and take action. By bringing together clean, centralized HR data and powerful AI, it equips HR and business leaders with the intelligence they need to drive meaningful workforce transformation.

Build a future-ready workforce

To stay competitive, organizations must continuously evolve alongside their people. This release introduces new innovations that align skills, performance, and development with future business needs.

We are excited that the in 麻豆原创 SuccessFactors is now available. This agent empowers managers to lead consistent, high-impact performance conversations by analyzing employee data, such as performance goals, activities and achievements, and continuous feedback, to create tailored conversation prompts for each employee. Using Joule, managers receive AI-guided insights like goal progress summaries, key accomplishments, growth focus areas, and development recommendations. Users can ask follow-up questions to dive deeper into any of these areas. 

Additionally, business rules integration in performance management support consistent and transparent performance reviews by automating feedback prompts and actions based on predefined conditions, such as dynamically exposing a comment field only when a rating condition is met.

Succession planning is also getting a boost with skills-based successor recommendations in , which analyzes skills, proficiency levels, and internal work experiences captured in employee growth portfolios to recommend potential successors who might have been overlooked using traditional metrics. And with the new person-based model for talent management, organizations can drive smarter talent decisions, faster reskilling, and greater workforce agility by unifying learning and talent data in a person-based view that follows employees across changing roles, teams, and assignments. 

Enable agile and compliant HR 

As regulations evolve and business needs shift, HR must stay both agile and compliant. This release introduces new capabilities to help teams adapt quickly while ensuring accuracy and trust.

The new solution,available to early adopters in January 2026, supports optimized shift planning in manufacturing and other production industries by aligning workforce skills and staffing levels with operational demand. Geofencing in 麻豆原创 SuccessFactors Time Tracking helps prevent fraud and ensure compliance by defining work site locations and ranges to govern where employees can clock in and out. 麻豆原创 SuccessFactors Employee Central simplifies U.S. leave management by connecting with FMLA service providers to automate leave deductions and improve tracking accuracy.

Across the suite, our updated home page delivers a more intuitive and personalized experience for users with streamlined navigation, targeted communications, and real-time insights across desktop and mobile.

Extend applications to easily adapt

As workforce expectations and business priorities evolve, flexibility is key. This release delivers new capabilities to help seamlessly connect and optimize HR processes, maximizing investments while supporting the changing needs of people and the organization.

is now enhanced by Joule and generative AI to deliver faster access to information, improved self-service, and more informed decision-making. Joule streamlines tasks with role-based self-service, workflow automation, and real-time insights, while generative AI simplifies feedback, coaching, and goal updates with context-aware insights. Employees can also quickly find company-specific knowledge through Joule for accurate, relevant information when they need it.

Lead the future of HR

With the 2H 2025 release, 麻豆原创 SuccessFactors HCM helps HR leaders navigate complexity with ease. By uniting global HR, AI-driven insights, and a unified skills foundation, organizations can make smarter decisions, develop future-ready talent, and stay agile in a rapidly changing world.

To learn about our latest innovations and enhancements, check out the or . 听

Bianka Woelke is group vice president and head of Application Product Management for 麻豆原创 SuccessFactors.

As the pace of innovation accelerates, enterprises must not only become more agile, but also modernize their technology foundations to keep pace鈥攕implifying landscapes, embracing cloud architectures, and ensuring continuous access to the latest capabilities.

With AI, enterprises face widening skill gaps that challenge their ability to drive meaningful business transformation. This is where 麻豆原创 stands at the forefront as a trusted partner, empowering businesses with process- and context-aware AI, underpinned by semantically rich and unified data. Together, these elements form a robust foundation for outcome-driven and sustainable business transformation.

With the 2025 release of 麻豆原创 Cloud ERP Private, we鈥檙e translating this vision into action. The release delivers innovations that matter most to our customers, from a strengthened data foundation to embedded AI and intelligent agents that enhance how work gets done. It enables enterprises to run smarter, modernize faster, and realize the full potential of applications with data and AI across end-to-end business processes.

Interconnected applications as the core foundation

A business suite that delivers best-in-class capabilities with a harmonized data model is essential in the age of AI. ERP continues to evolve to meet today鈥檚 industry needs, strengthening our customers鈥� ability to compete and grow with confidence. There are a number of such innovations, including:

• Supply chain: Manufacturing customers achieve faster, more reliable order fulfillment through intelligent automation that links order promising with logistics execution. The enhanced advanced available-to-promise (ATP) capability reduces manual effort and optimizes inventory use.
• Finance: For multinational enterprises, universal parallel accounting and value chain analysis provide real-time profitability insight and automate intercompany flows, helping finance leaders steer performance proactively and improve transparency.
• Asset management: Maintenance planners improve equipment reliability and reduce downtime through enhanced visibility into open preventive and corrective maintenance requirements. Additional insights into maintenance orders and planning buckets enable proactive scheduling and optimized resource use.  
• Operations: Organizations improve efficiency, transparency, and compliance across entities through the new multistage intercompany sales and stock transfer process. It automates critical steps, enhances visibility, and streamlines execution, enabling faster, more reliable, and scalable supply chain operations.

Data that fuels AI鈥檚 transformative power

Trusted, connected, and context-rich data turns AI鈥檚 potential into measurable results. When organizations can rely on consistent high-quality data, they gain the confidence to act on insights that drive efficiency and growth.

The semantically rich data foundation within 麻豆原创 Cloud ERP provides this advantage, serving as the platform for building insights and driving actions. 麻豆原创 Business Data Cloud unifies 麻豆原创 and third-party data, delivering insights through pre-built data products and intelligent applications.

With the 2025 release, more than 200 pre-delivered data products are available out of the box, preserving business context and metadata so leaders act on insights, not raw extracts. The result is an AI-ready foundation of trusted, compliant, reusable data assets that accelerates decision-making. Looking ahead, we are developing more intelligent applications through Cloud ERP Intelligence Private that leverage these data products across every business function, expanding the reach and impact of data-driven intelligence.

AI in and across your key business processes

AI is becoming every enterprise鈥檚 most powerful assistant, helping people work smarter, make faster decisions, and achieve better and informed outcomes. Embedded in core processes, it provides contextual guidance, intelligent recommendations and reasoning, and automation where it matters most.

With the 2025 release of 麻豆原创 Cloud ERP Private, we鈥檙e embedding AI across key end-to-end business processes. Built on a unified data and application foundation, our AI innovations bring precision, predictability, trust, and security to every decision鈥攁cross finance, supply chain, manufacturing, and service.

At the center is Joule, now evolving into a role-aware assistant, that tailors insights and actions to each user鈥檚 responsibilities. It ensures every interaction is relevant, governed, and grounded in business context, helping teams act with clarity and confidence. We are building a growing library of specialized Joule Agents. Here are a few examples:

• : Improves liquidity by accelerating collections, reducing overdue invoices, and recommending next-best actions
• : Shortens resolution cycles by identifying inconsistencies, proposing responses for quick approval, and executing follow-ups
• : Builds on enhanced maintenance insights to boost uptime by recommending maintenance events and coordinating schedules based on integrated and interconnected data across production planning and procurement

Grounded in 麻豆原创鈥檚 unified data and process model, these agents connect workflows across functions and roles, enabling organizations to act faster, operate smarter, and scale intelligence across the enterprise.

Faster upgrades, faster value

The 麻豆原创 Cloud ERP Private 2025 release is fully compatible with previous scopes, eliminating multi-step upgrades. Customers can move to the latest version with minimal effort and immediately benefit from advances in applications, data, and AI. With near-zero-downtime upgrades and automated updates, maintenance windows are shorter, delivering faster adoption, lower disruption, and quicker time to value.

Looking ahead together

We continue to co-innovate closely with our strategic and beta customers to turn these innovations into business reality. Our commitment extends beyond technology delivery: we guide every step of modernization, AI adoption, and process transformation.

If you鈥檙e ready to be an early adopter, join us to co-innovate, learn, and shape the future together, unlocking new ways of working and sustainable outcomes.

Excited about our innovations? Learn more

For a deep dive into the 2025 release and what it means for your business, join our upcoming webinar: . on innovations across finance, supply chain, procurement, and beyond, along with resources to help you get started.

Uma Rani T M is president and chief product officer for Private Cloud ERP at 麻豆原创.

New research shows how business AI delivers ROI

To better understand the opportunity to produce returns on investment from AI, 麻豆原创 commissioned that was shared at 麻豆原创 Connect. In partnership with Oxford Economics, we surveyed 1,600 executives in medium and large enterprises across eight countries.

We found that today, on average, organizations are benefiting from a 16 percent return on AI investments鈥攁 number they expect to nearly double within two years. In addition to impressive financial returns:

• 94% of business leaders say AI is improving innovation within their organizations
• 87% say AI is improving customer engagement
• 78% believe AI agents have the potential to transform their business operations

New deep research and AI assistants in Joule expand what is possible

These innovations were engineered based on what our customers tell us they need: to act quickly, simplify complexity, and unlock better, data-driven decisions across the lines of business and processes that matter. But most of all, our customers need AI that drives significant, measurable business outcomes.

To help every organization accelerate returns on investment from AI, at 麻豆原创 Connect we announced powerful new capabilities for , which makes business data and the entire 麻豆原创 Business Suite immediately accessible through the power of a simple conversation. And because Joule is grounded in your company鈥檚 data, it understands context and delivers insights that are specific, actionable, and relevant to your business.

Deep research in Joule, announced at 麻豆原创 Connect, is a new capability expands what people can do within the Joule interface. It goes beyond quick answers to deliver strategic analysis, reporting, and synthesis in a single, connected experience. It brings together internal 麻豆原创 data and external intelligence so people can ask complex questions and receive comprehensive research and recommendations鈥攚ithout ever leaving Joule. The deep research capability in Joule will be available in beta this December.

We also unveiled the new concept of role-based AI assistants in Joule, built to partner with people in their specific roles. These assistants connect to the right Joule Agents for the job, removing guesswork so teams can unlock new levels of productivity and insight. Whether it鈥檚 a finance leader forecasting working capital, a recruiter evaluating headcount needs, or a planner adjusting inventory, AI assistants surface the right intelligence, at the right time, in the right context. In the background, Joule Agents get work done for you.

These innovations mark the next chapter in how people interact with enterprise systems, helping every role across an organization seamlessly move from inquiry to insight to action.

New Joule Agents autonomously get work done

To help enterprises further accelerate business results, we introduced 14 new Joule Agents at 麻豆原创 Connect. They help people coordinate, decide, and execute tasks with greater precision. Joule Agents are in finance, HR, procurement, and supply chain, in a way that only 麻豆原创鈥攚ith our deep expertise in these functions鈥攃an deliver.

For example, rather than navigating multiple systems or running countless manual checks to release an order, a production manager鈥攁 key role in the supply chain function鈥攚ill be able to turn to our Production Planning and Operations Agent, planned for general availability in the Q1 2026. They can simply ask Joule to do it, safely and in real time. The agent will validate and release orders when conditions are met, accelerating production start times and shortening order-to-delivery cycles.

And starting December 2025, with the general availability of , now in beta release, customers will be able to create and deploy custom Joule skills and Joule Agents tailored to their unique business needs. Agent builder in Joule Studio is your command center for designing, building, and deploying enterprise-ready custom Joule Agents using the same powerful 麻豆原创 technologies鈥攊ncluding 麻豆原创 Knowledge Graph for deep business context, 麻豆原创 Business Data Cloud for comprehensive data access across 麻豆原创 and non-麻豆原创 sources, and 麻豆原创’s central identity and authorization services to ensure responsible agent behavior. These capabilities empower every enterprise to extend, customize, and personalize 麻豆原创 Business AI solutions.

New embedded intelligence across 麻豆原创 applications

To help our customers move faster and make better decisions where work happens, we continue to bring intelligence directly into the applications they rely on every day. These embedded capabilities extend the same AI-driven guidance that powers Joule Agents into core 麻豆原创 solutions, enhancing user workflows with context, clarity, and automation. We will have more than 400 of these AI use cases by the end of the year.

For example, in , starting in February 2026, AI will orchestrate personalized interactions across HR, marketing, and service, bringing harmonized data, relevant context, and better business outcomes into every engagement. In the solution, planned for general release in the first half of 2026, AI will predict shortfalls and fulfillment risks, helping planners simulate and respond with speed and precision.

Additionally, the rebuilt 麻豆原创 Ariba source-to-pay suite, arriving in February 2026, brings a modern, cloud-native experience to every stage of procurement. Embedded AI guides people with intelligent recommendations, accelerates contract reviews, and surfaces supplier insights in real time. By simplifying sourcing decisions and improving compliance, it helps procurement teams strengthen supplier relationships and capture more value, faster.

Governing AI with visibility and control

As our customers continue to adopt these AI innovations embedded across their functions, we know they need transparency into how it operates, what it influences, and the value it creates. That is why we provide tools to give them the visibility they need to deploy AI with confidence and scale it responsibly.

麻豆原创 LeanIX AI Agent Hub helps CIOs and business leaders see their entire AI agents landscape at a glance. From one dashboard, they can understand where agents are deployed, what processes they touch, and how agents are performing. This allows teams to evaluate effectiveness, identify redundancies, and manage AI like any other enterprise asset: aligned to outcomes, governed by policy, and continuously optimized.

Complementing that, agent mining in gives organizations a powerful way to analyze how AI contributes to process performance. It reveals how AI agents decide and act, flags bottlenecks and non-compliance, and uncovers where automation adds value and how to fine-tune it for efficiency and impact. Together, these tools bring clarity to what has often been a black box: transforming governance from reactive oversight into proactive optimization.

What鈥檚 next for business AI

At 麻豆原创 Connect, we also shared a view into what鈥檚 coming and how our innovations will continue to redefine enterprise productivity. For example, we鈥檙e developing an outcome-driven user interface that adapts to context in real time. Instead of navigating menus or searching for data, people will simply express what they want to achieve, and the system will guide them through the right actions, insights, and tools.

We鈥檙e also extending Joule Agents beyond software into the physical world鈥攃onnecting your company’s business intelligence to robotics and industrial systems. This opens a new frontier for automation, combining state of the art electronics that utilize physical AI tools, such as computer vision and collision detection, with AI agents capable of reasoning through complex goals and planning multi-step workflows. this November to learn more.

Ready to start your AI journey?

We know AI is top of mind for most business leaders today. In fact, another finding from the research we commissioned with Oxford Economics is that 41 percent of tasks in global businesses will be supported by AI within two years鈥攗p from 25 percent today.

As you continue to explore what is possible with business AI, we鈥檒l keep innovating to deliver systems that are intelligent by design, trusted in operation, and, most important, measurable in their impact.

For us, it鈥檚 all about what you hope to achieve. We鈥檙e proud to partner with you on your AI journey. If you鈥檙e ready to take the next step, here are three things you can do right now:

• Learn how to bring the potential of AI into your organization by signing up for our .
• In our , get inspired about what鈥檚 possible by exploring how leading companies are transforming with AI.
• Watch 麻豆原创 Connect virtual sessions, , to see our latest innovations in action.

There鈥檚 more to come. Join us at on November 4 for the next wave of AI innovations that will transform the enterprise.

Brenda Bown is chief marketing officer for 麻豆原创 Business AI.

In times of uncertainty, spend is one of the levers companies can actively control. Leaders are expected to deliver not only savings, but also resilience, sustainability, and risk-aware processes.

At , we introduced several new AI capabilities to bring more automation, deeper integration, and smarter insights across our . These innovations are focused on improving outcomes: reducing risk, strengthening supply chains, increasing productivity, and freeing people to focus on higher-value work. They ensure spend continues to fulfill its elevated role as a driver of business growth and resilience while helping customers stay ahead of evolving demands.

Next-gen 麻豆原创 Ariba brings deeper AI integrations and new AI assistants in Joule

麻豆原创 is rolling out the next generation of solutions for source-to-pay to automate the power of procurement, improve cost savings, ensure compliance, and build supply chain resilience. Next-gen 麻豆原创 Ariba is the world’s most modern source-to-pay solution designed to power the future of procurement.

The first AI-native source-to-pay suite redefines what is possible today and sets the course for the future. With businesses facing ever-present change, our customers can take advantage of a solution that’s built to endure — intelligent, integrated, and scalable. The capabilities delivered as part of next-gen 麻豆原创 Ariba will empower businesses to tackle today’s challenges and excel in the future.

Next-gen 麻豆原创 Ariba is built on 麻豆原创 Business Technology Platform (麻豆原创 BTP), and has a completely redesigned user experience, embedded analytics, and seamless integration with 麻豆原创 Cloud ERP public and private applications.

The advanced capabilities and benefits of next-gen 麻豆原创 Ariba solutions offer the following:

• Accelerated value realization: Faster adoption with intuitive interfaces and guided workflows
• Deeper insights: Actionable analytics that translate into tangible savings and operational improvements
• Empowered teams: A more productive experience for procurement professionals

Next-gen 麻豆原创 Ariba capabilities will be rolled out starting in Q1 2026.

麻豆原创 also introduced new agentic and generative AI capabilities across the 麻豆原创 Ariba suite to help organizations optimize productivity and decision-making. Planned for release in Q1 2026, a new Joule Agent for bid analysis automatically compares supplier bid data, including total cost, to give procurement teams insight and recommendations for award decisions.

麻豆原创 also added three AI features to the 麻豆原创 Ariba procurement portfolio:

• AI supplier-response summary will use to help review, analyze, and summarize supplier responses to questionnaires, helping procurement specialists make more informed decisions. This is planned to be generally available in Q1 2026.听
• Joule for simplified invoice creation will help employees outside accounts payable to easily submit invoices from for processing with minimal input. The feature will be generally available in Q4 2025.
• Intelligent contracting will use Joule to automatically extract key information, generate summaries, and search historical contracts for discrepancies and compliance issues. This feature will be generally available in Q4 2025.

As part of the broader 麻豆原创 Ariba portfolio, is now globally available. The solution provides a single-entry point for all procurement requests to simplify intake, improve compliance, and give employees full visibility into status updates. With Joule, users can easily submit requests or follow guided steps, while the system orchestrates processes across 麻豆原创 and non-麻豆原创 systems.

Learn more at our upcoming webinar, on November 20, 2025. to see how organizations can streamline intake processes and drive meaningful results.

New AI enhancements in 麻豆原创 Fieldglass connect the right external talent to the right roles

New AI enhancements to the portfolio make it easier to match potential external workers with available positions by automatically analyzing role descriptions to determine the skills required for each position.

The new skills-based hiring feature automatically analyzes role descriptions to determine the skills required for each position, reducing the time to source potential candidates by up to 50 percent. By accelerating candidate matching, organizations can count on a faster, more cohesive, and efficient hiring process.

This feature is generally available and works in conjunction with existing AI features, including resume analysis and job description creation.

麻豆原创 Concur and American Express Global Business Travel make business travel easier, smarter and more impactful for organizations everywhere

with American Express Global Business Travel (Amex GBT). Complete by 麻豆原创 Concur and Amex GBT is a co-developed solution that will combine booking, servicing, payments, and expensing into one experience with AI at its core. The solution will benefit from 麻豆原创 Concur and Amex GBT technology and business travel expertise. Complete customers will also have access to Amex GBT鈥檚 unmatched marketplace, software, and services via Complete, offering greater incentives and cost savings.

Smarter AI for travel and expense management in 麻豆原创 Concur

We also introduced new AI capabilities for that will streamline reporting, strengthen fraud prevention, and simplify travel planning, helping organizations better control costs while improving the employee experience.

These innovations include:

• The Receipt Analysis Agent, a newly embedded Joule Agent in , will go beyond basic receipt scanning, automatically completing missing information, determining expense types, and verifying vendor details, even for unknown vendors, to deliver accurate results without iterative learning. General availability for these features is expected for Q4 2025.
• , the automated expense-audit service from 麻豆原创 Concur now features an AI-generated receipt checker that flags receipts likely created by AI or online generators, helping auditors stop fraudulent claims. The service is currently generally available.
• A new pre-spend planner tool uses generative AI to estimate trip budgets based on policies and itineraries, while also providing relevant travel advisories to keep travelers informed. General availability is planned for early 2026 and Concur Expense customers can take advantage of the pre-spend planner at no extra cost. It will be available to Concur Travel customers later in the first half of 2026

Partnerships and integrations

麻豆原创 Concur has enhanced its integration with to further automate how ride and meal expenses are processed, providing better visibility to executives and business users. Ride and meal receipts are automatically routed into , with detailed tax, tip, and itemization data, resulting in cleaner data, fewer manual corrections, and faster reimbursement.

Looking ahead

麻豆原创鈥檚 latest innovations across procurement, external workforce, and travel and expense help customers achieve positive outcomes such as cost savings, reducing risk, strengthening supply chains, creating value, improving productivity, and freeing people up to do higher-value work.

Etosha Thurman is chief marketing officer for 麻豆原创 Finance and Spend Management.

At the same time, there is a huge opportunity to entirely re-think supply chains with AI and agentic workflows as the powerful transformation agents of the next decade. The lesson is clear: companies that invest in AI-driven applications and reliable data and re-think processes maintain continuity and customer trust, while others risk prolonged shocks, lower service levels, increased cost, and lost revenue.

Today at Supply Chain Connect at 麻豆原创 Connect, we are building on the phenomenal momentum of AI-driven supply chain transformations with innovations designed to help supply chain leaders not just endure disruption, but transform it into an opportunity for resilience and growth.

Introducing 麻豆原创 Supply Chain Orchestration

In today鈥檚 dynamic market, foresight and a reduced time-to-recover are everything. Business leaders must know where their products are, which suppliers or sub-suppliers are at risk, and how to respond with confidence. Yet, visibility gaps often leave organizations blindsided.

is a new AI-centric solution built to detect potential disruptions early, contextualize risk to a company鈥檚 unique supply chain configuration, apply intelligent impact analysis, and trigger AI-driven actions across planning, logistics, procurement, and manufacturing. Soon, supply chain stakeholders will be supported by powerful Joule assistants that leverage AI agents to strengthen supplier compliance, increase customer service, and reduce revenue exposure.

What sets 麻豆原创 Supply Chain Orchestration apart is its foundation on . The solution integrates data from and , providing a comprehensive view across every tier of the supply chain. These multi-tier insights help turn external and internal risk signals into prioritized actions, boosting operational efficiency, compliance, and customer satisfaction.

Set to be available in the first half of 2026, 麻豆原创 Supply Chain Orchestration is the next step toward a future where businesses can anticipate global shifts before they escalate with a severe business impact.

Advanced AI capabilities and unified scenario simulations optimize supply chain planning

麻豆原创 is enabling its customers to reimagine supply chain planning to become faster, smarter, and more connected with . This evolution of the product combines intelligent automation, a harmonized data model, and AI-driven capabilities to enhance forecasting, streamline processes, and help planners focus on critical decision making.

A harmonized planning area now supports both time-series and order-based planning, allowing users to move seamlessly among strategic, tactical, and operational levels, which ultimately enables seamless telescopic planning. New harmonized scenario simulations reveal the impact of alerts and risks to orders across all planning horizons. Embedded AI strengthens forecasting and inventory management, while characteristic-based planning adds right-fidelity supply planning to optimize stock and capacity matching for critical industries such as fashion retail, high-tech, life sciences, or consumer products.

The new Configurable Planner Workspace provides a unified interface where planners can monitor performance, simulate scenarios, and act immediately 鈥� guided by , 麻豆原创鈥檚 copilot, which delivers contextual assistance and actionable insights from forecasts, supply plans, and multi-echelon inventory.

AI capabilities are currently in beta mode and planned for general availability in Q2 2026, while all other enhancements are now generally available.

New Joule Agents accelerate decisions and automation across the supply chain

麻豆原创 introduces three new听听for supply chain management, designed to automate critical, time-consuming tasks and empower teams to focus on strategic decision-making. These agents embed AI-native automation directly into 麻豆原创 Cloud ERP, 麻豆原创 Cloud ERP Private, and 麻豆原创 Business Network workflows, reducing manual effort and minimizing errors.

• Production Planning and Operations Agent: Automates prerequisite checks for releasing production orders, validates material, capacity, and scheduling, and can recommend workarounds or release orders instantly 鈥� shortening order-to-delivery cycles and reducing costs. General availability is planned for Q1 2026.
• Change Record Management Agent: Supports product managers and engineers by reasoning over problem reports and change requests, recommending next steps, and initiating changes, which improves governance, traceability, and decision speed. General availability is planned for Q2 2026.
• Supplier Onboarding Agent: Streamlines onboarding in 麻豆原创 Business Network by reasoning over supplier details, orchestrating invitations, validating data, and handling escalations, which enables procurement teams to scale faster while focusing on strategic supplier development.

With these agents, 麻豆原创 is embedding intelligence deeper into day-to-day supply chain workflows, accelerating decisions where they matter most.

Upgrading 麻豆原创 Business Network to meet customer needs

Global commerce is more interconnected than ever, but too many organizations still operate with fragmented procurement and logistics processes. 麻豆原创 is introducing upgrades to 麻豆原创 Business Network, the world鈥檚 largest B2B platform, facilitating over US$6.3 trillion in annual commerce across 190 countries.

• Availability on 麻豆原创 BTP: 麻豆原创 Business Network now runs on 麻豆原创 BTP, providing a modern data foundation and enabling organizations to coordinate deals at scale. It connects easily across 麻豆原创 and third-party systems, introduces a unified global directory with guided onboarding, and offers workflow customization through 麻豆原创 Build. Joule integration will be available in January 2026, bringing embedded AI to analytics, automation, and approvals across the network.
• Network-centric integration across the business suite: Rolling out later this year, 麻豆原创 Business Network will support end-to-end value streams with 麻豆原创 Cloud ERP, 麻豆原创 Ariba, 麻豆原创 Fieldglass, and 麻豆原创 Transportation Management. This will accelerate dispute resolution, improve emissions tracking, and enable AI-assisted navigation.
• Simplified supplier data access: By Q4 2025, users will be able to search for suppliers directly from their ERP interface, eliminating manual onboarding. Buyers will gain faster access to new vendors, reducing activation costs and expanding visibility.

Together, these innovations enhance 麻豆原创 Business Network with intelligence, reach, and usability 鈥� delivering embedded AI, seamless business suite integration, and ERP-native supplier discovery.

麻豆原创 launches new logistics management solution

麻豆原创 is announcing , a new cloud-native solution designed to complement operations of large distribution centers with capabilities to support smaller, local, and regional warehouses. This will help establish multi-tier distribution networks that strengthen resilience and increase delivery speed.

Fully connected to 麻豆原创 Cloud ERP Private and 麻豆原创 Business Network for Logistics, the solution centralizes inventory, shipments, and partner coordination. Unlike standalone tools, it extends ERP capabilities directly to satellite warehouses, drastically reducing manual tasks and ensuring consistency across networks.

Built-in AI capabilities guide operational decisions, eliminating silos and strengthening collaboration across logistics ecosystems. 麻豆原创 Logistics Management will be available in Q1 2026.

Doehler, a global producer of technology-driven natural ingredients for the food, beverage, and nutrition industry, will leverage the solution in its warehouses to manage its production sites, samples and spare parts.

鈥溌槎乖� Logistics Management is set to deliver lean process automation and accelerated transformation for most of our more than 50 production sites, sampling operations and technical warehouses,鈥� said Dr. Michael Merget, Chief Operating Officer of Doehler Group. 鈥淲e see its powerful, integrated AI capabilities not as an add-on, but as the core intelligence that will define the future of our logistics.鈥�

Looking ahead

Resilient, intelligent, and collaborative supply chains are no longer aspirations 鈥� they are necessities. Together, these innovations reflect 麻豆原创鈥檚 vision for a fully orchestrated supply chain. The next generation of supply chain technology will empower businesses to detect disruptions early, harness data at scale, and consistently exceed customer expectations. By leading with intelligence and foresight, companies can transform crises into opportunities and position themselves to thrive in a world defined by uncertainty.

For more details on all announcements made this week, please refer to the .

Dominik Metzger is president and chief product officer for 麻豆原创 Supply Chain Management.

麻豆原创 reimagines enterprise AI with role-based assistants in
Joule that coordinate agents across lines of business

LAS VEGAS 鈥� At its inaugural 麻豆原创 Connect event, (NYSE: 麻豆原创) showcases how the integration of AI, data and applications creates unparalleled business value.

These breakthroughs 鈥� including a new network of role-based assistants in Joule that partner with humans to elevate performance, an expanding data ecosystem that drives deeper insights and supply chain software that anticipates disruptions 鈥� once again revolutionize how business gets done.听

“To thrive when volatility is the new normal, businesses need more than a patchwork of disparate best-of-breed applications,” said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. “Our announcements today demonstrate the power of 麻豆原创 Business Suite, where AI, data and applications come together in an experience to propel smarter decisions, faster execution and scalable transformation.”

AI that Partners with People

麻豆原创 unveils Joule鈥檚 next stage as the AI force at the center of 麻豆原创 Business Suite鈥檚 value creation. Drawing on the applications and data from across 麻豆原创 Business Suite, 麻豆原创 is introducing a new generation of role-aware assistants in Joule. Each assistant is designed to partner with a human being in their specific business role. Assistants in Joule tap into the right agents for the job, configuring, orchestrating and managing them so humans can focus on unlocking new levels of insight and productivity.

Supporting the assistants in Joule is a , designed to help execute complex workflows within a specific function. For instance, a People Manager Assistant coordinates a team of specialized agents — including the new People Intelligence Agent, which helps spot and resolve issues like compensation anomalies — to support managers as they drive performance. A new Financial Planning Assistant will be aided by a group of expert agents — including the new Cash Management Agent, which optimizes cash flow and improves interest yields — to help finance professionals drive efficiencies. This new roster of role-aware AI assistants not only partner with people to elevate performance in their lines of business but also work together across business functions to solve complex enterprise-wide problems.

Data that Defies Boundaries

Data fuels AI鈥檚 transformative power but it鈥檚 often siloed in different systems. At 麻豆原创 Connect, we are removing those barriers with 麻豆原创 Business Data Cloud Connect. 麻豆原创 BDC Connect securely links 麻豆原创 BDC with partner platforms to enable a bidirectional flow of business-ready data products across organizational and technological boundaries.

With zero-copy sharing, data stays securely in 麻豆原创 systems yet remains instantly accessible in customers鈥� existing data platforms, preserving business context without costly copies. The result: fewer silos, simpler pipelines, no duplication — just trusted data products where and when they鈥檙e needed.

麻豆原创 also announced that Databricks and Google Cloud are the first partners enabled for 麻豆原创 BDC Connect, with more to follow. As announced in February 2025, 麻豆原创 Databricks remains a data service within 麻豆原创 Business Data Cloud, and 麻豆原创 BDC Connect extends its benefits across an open data ecosystem. These partnerships give customers faster access to data products for analytics and AI, helping teams move from raw data to real-time business outcomes with greater speed and simplicity.

Applications that Turn Data into Action

At the heart of 麻豆原创鈥檚 unique value proposition are enterprise applications where data is created and AI-driven insights are experienced. 麻豆原创 Supply Chain Orchestration is a new AI-native solution that combines the power of Joule with a live knowledge graph to detect real-time risks several suppliers deep and orchestrate a coordinated response, helping customers cut costs and keep supply chains moving. 麻豆原创 Engagement Cloud, a new customer experience solution, uses business-critical context to personalize interactions across customers, suppliers and other stakeholders. And our next-generation 麻豆原创 Ariba procurement suite stands out as an AI-native solution, bringing intelligence to every stage of spend management, from sourcing through supplier engagement.

Altogether, these 麻豆原创 Business Suite innovations mark the beginning of a new era powered by self-reinforcing AI, data and applications that drive intelligence, speed and resilience.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

Note to editors:
To preview and download broadcast-standard stock footage and press photos digitally, please visit . On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Joellen Perry, +1 (626) 265-0370, joellen.perry@sap.com, PT
Marcus Winkler, +49 6227 7-67497, marcus.winkler@sap.com, CEST
麻豆原创 麻豆原创 Room; press@sap.com

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.鈥�

Among the many announcements at 麻豆原创 Sapphire in 2025, the company unveiled new innovations, partnerships, and integrations that can deliver real-time, proactive assistance. For example, 麻豆原创鈥檚 AI copilot Joule is now available to users across 麻豆原创 and non-麻豆原创 systems. 麻豆原创 also expanded its agentic AI footprint across 麻豆原创 Business Suite by introducing Joule Agents for multiple use cases and an evolving AI Foundation as the AI operating system designed to simplify development, enabling developers to build, deploy, and scale solutions with ease.

The impact of AI on the delivery of customer support at 麻豆原创

As announced in Q2 this year, 麻豆原创鈥檚 simplified, tiered, services-and-support engagement model will be generally available in early 2026. Here, 麻豆原创鈥檚 customer support is a centerpiece of the Foundational Success Plan, delivered via the proven 麻豆原创 Enterprise Support offering included in every 麻豆原创 cloud solution subscription. The Foundational Success Plan can support in-house teams by helping to onboard and run solutions, keep business continuity, and drive ongoing value. It includes customer self-service options, application lifecycle management solutions centered around 麻豆原创 Cloud ALM, and preventative mission-critical support. With the plan, 麻豆原创 turns on Joule for a customer鈥檚 business and supports the team ramp-up with learning journeys for 麻豆原创 Business AI.

When it comes to customer support in general, agentic AI can redefine the support process by moving beyond scripted responses and basic automation. It can assess situations, make decisions, and take action鈥攐ften before the customer even knows there鈥檚 an issue. 麻豆原创鈥檚 customer support harnesses agentic AI to help deliver smarter assistance, faster resolutions, and a stronger human鈥搕ech partnership.

We focus on elevating support experiences for customers and improving support delivery for engineers by employing a combination of agents and assistants. For example, we use autoresponders and smart log analyzers to help process issues, while configuration advisors, language services, and proactive notifiers can guide customers toward self-service solutions. At the same time, our support engineers rely on co-pilots to help summarize cases, recommend solutions, escalate using intelligence, assist with communications, and create a continuous feedback loop for learning. For strategic customer support, we use tools like feedback collectors to help capture customer insights and channel recommenders to help ensure that every interaction is handled in the right channel. Together, these innovations can redefine support as faster, smarter, and more human.

The impact for customers

When it comes to 麻豆原创 Business AI, we build trust and create customer confidence by being relevant, reliable, and responsible. Unlike traditional AI that only suggests answers, agentic AI can reason, decide, and take action. For customers to feel confident, they expect accuracy, reliability, and transparency from the system.

As we support and guide our customers, we recognize that while agentic AI is a game-changer, it is not a magic pill. Coupled with ethical and responsible AI, real impact comes from 麻豆原创鈥檚 business expertise and a deep understanding of what our customers truly need. When knowledge is combined with AI to infuse autonomy and interoperability in our agents, we can unlock the ability to simplify processes, remove friction, and deliver experiences that feel effortless.

AI technology amplifies human insight and delivers delightful user experiences, but when it comes to business AI, it is our domain expertise that fuels 麻豆原创 Business AI into a tool for creating genuinely easy, productive, and meaningful experiences for our customers.

Stefan Steinle is executive vice president and head of Customer Support & Cloud Lifecycle Management at 麻豆原创.

Further, the AI catalog offers detailed business benefits and estimated business value for customers, as well as helpful resources like step-by-step product documentation and demos.

鈥淪ince its launch 10 months ago, the AI catalog has been visited heavily by customers and partners,鈥� explained Holger Neuert, chief product manager for the AI catalog. 鈥淯sers spend a significant amount of time browsing the documented AI use cases, and return to the AI catalog on a regular basis researching AI features, Joule Agents, and [related] assets.鈥�

Showing customers the business value of AI

The AI catalog offers a great source of information as it combines solution details and potential business benefits.

麻豆原创 Customer Success manager Nick Pearce uses the AI catalog to access important documentation, value information, and pricing — in combination with the AI estimator — for customers.

鈥淏y providing fast access to potential business value statements, such as 70 percent faster job application processing with AI applicant screening, I can have value-based discussions with my 麻豆原创 SuccessFactors customers about prioritizing where to start their AI journey,鈥� Pearce shared.

鈥淭he AI catalog and estimator on 麻豆原创 Discovery Center is a true game changer and the go-to resource for discovering 麻豆原创鈥檚 latest AI innovations across every industry and business function,鈥� said Richard Grandpierre, head of 麻豆原创 Business AI Product Management. 鈥淭his powerful platform highlights business value and delivers transformative results at scale.鈥�

Dr. Michael Glueck, global head of Value Advisory at 麻豆原创, explained that the value estimates used in the AI catalog are based on 麻豆原创鈥檚 industry expertise and are backed by benchmarking data and third-party research as well as early customer feedback on each AI use case.

鈥淏y looking at benefits in terms of both efficiency, direct impact, and effectiveness, indirect and causal-related impact, we provide a holistic view of the value a specific use case within 麻豆原创 Business AI can deliver to our customers,鈥� Glueck said.

I addressed this challenge in a conversation with Dan Newman at , hosted by and . We spoke about the blockers that leaders face when determining where to apply generative AI to move their businesses forward and what 麻豆原创 Business AI is uniquely bringing to market to help.

Flowing from that conversation, here are four steps you can take, among others we touched on, that will help you become an AI front-runner.

1. Prioritize use cases with the most promise

First, focus on areas of your business in which you can use AI to deliver fast, measurable value. Finance, HR, supply chain, and customer experience are among those AI front-runners often start with. As you assess your options, set aside the idea of a “proof of concept.” Instead, develop “proofs of value鈥� by using your and your team鈥檚 expertise, data, and imaginations to find areas where more value can be unlocked using automation or AI agents.听

By the way, the term 鈥減roof of value鈥� was first coined by AI front-runner , vice president of IT at , in reference to an AI agent for accounts payable that his team designed in partnership with 麻豆原创. The key is to pinpoint what outcomes matter most to your business and choose use cases that quickly prove the value.

2. Deploy intelligent agents to simplify complex tasks

Another practice of AI front-runners is the use of AI agents that span departments and systems to solve end-to-end problems. Their autonomous abilities to handle whole processes is one of the differences between an AI skill and an AI agent. A skill is a single ability, such as the ability to write a message or analyze a spreadsheet and trigger actions from that analysis. An agent independently handles complex, multi-step processes to produce a measurable outcome. We recently an expanded network of to help foster autonomous collaboration across systems and lines of business. This includes out-of-the-box agents for HR, finance, supply chain, and other functions that companies can deploy quickly to help automate critical workflows.

AI front-runners, such as , also create customized agents that can tackle specific opportunities for process improvement. Now you can build them with , which provides a low-code workspace to help design, orchestrate, and manage custom agents using pre-defined skills, models, and data connections. This can give you the power to extend and tailor your agent network to your exact needs and business context.

3. Embed AI into daily workflows

To truly become an AI front-runner, you need AI woven seamlessly into how your teams work every day. You also need to ensure it works across your broader technology ecosystem. Because of these critical business needs, we created to be your natural language AI interface, built right into your 麻豆原创 systems. And we鈥檙e adding a new Joule action bar to make it even more context-aware and better integrated with third-party tools like ServiceNow and Microsoft Copilot. It doesn鈥檛 wait for you to tell it what you need. Instead, it can proactively follow your behavior and suggest helpful next actions in context across multiple 麻豆原创 and non-麻豆原创 applications. This helps remove friction, so your team members don鈥檛 have to toggle between tools or relearn interfaces.

4. Foster an ecosystem of interoperable, leading AI tools

Another way to become an AI front-runner is to tackle fragmented tools and solutions by putting in place an open, interoperable ecosystem. After all, what good is an innovative AI tool if it runs into blockers when it encounters your other first- and third-party solutions? This is why we recently announced a tighter integration with Microsoft Copilot for productivity and partnerships with and for flexible access to leading AI models. These, and many other partnerships, help teams combine multiple AI capabilities, share trusted data across systems, and drive business outcomes faster, without the headache of manual connections.

Ready to lead? Here鈥檚 how to get started

I want to encourage you to lead, not follow, in the AI era. If you鈥檙e ready to do that, there are a few ways to get started. First, go deeper on these subjects in the full . Then and .

Brenda Bown is chief marketing officer for 麻豆原创 Enterprise AI Business.

At 麻豆原创, we鈥檙e collaborating with鈥疦EURA Robotics鈥痑nd鈥疦VIDIA鈥痶o bring this future to life. Our goal is to make鈥痯hysical AI鈥痑 reality for businesses across industries. By combining鈥槎乖粹�檚 business process intelligence,鈥疦EURA鈥檚 cognitive robots, and鈥疦VIDIA鈥檚 Omniverse Platform, we鈥檙e enabling a new class of鈥痑utonomous physical agents鈥痶hat connect enterprise systems to real-world action.

A convergence of intelligence, simulation, and execution

This next evolution of enterprise automation requires more than just robotics or AI in isolation. It鈥檚 about orchestrating data, reasoning, and motion end-to-end.

• 麻豆原创鈥檚 Joule Agents, underpinned by 麻豆原创 Business AI, serve as the cognitive layer, understanding enterprise context and directing workflows.
• Mega NVIDIA Omniverse Blueprint鈥痚nables teams to simulate and refine agent behavior in complex, realistic operational scenarios鈥攂efore deployment.
• NEURA鈥檚 cognitive robots鈥痶hen execute these tasks in the real world, with the ability to perceive, decide, and adapt as environments shift.

This tight integration creates a loop of鈥痗ontinuous learning where each real-world action generates feedback to retrain and improve the performance of both agents and robots.

Real use cases, real value

This isn鈥檛 a future vision鈥攊t鈥檚 already happening. Early adopters are applying this innovation in鈥痬anufacturing,鈥痳etail, and鈥痩ogistics, where traditional automation falls short. For example:

• Autonomous mobile robots (AMRs)鈥痗an handle multi-step inventory tasks in dynamic retail environments.
• Cognitive robots can assist with equipment inspections and repairs, reducing downtime in asset-intensive industries.
• Physical agents can orchestrate movement of goods and materials in complex supply chains, all while staying connected to 麻豆原创 core systems.

The result: faster execution, safer operations, and intelligent adaptation to real-world variability.

A shared vision to transform industry

Each partner in this collaboration brings a unique capability鈥攁nd together, we鈥檙e enabling more than any one of us could alone.

鈥淲e are proud to bring the power of our cognitive robots into the partnership with 麻豆原创 and to jointly take the next step towards automating real-world tasks,鈥濃�痵aid鈥疍avid Reger, CEO of NEURA Robotics.鈥�淭ogether, we are redefining what is possible and creating solutions that truly serve humans and transform industries.鈥�

鈥淲ith the Mega NVIDIA Omniverse Blueprint, enterprises can test and validate mixed robot fleets at scale, bridging the gap between digital simulation and reliable physical-world implementation,鈥� said鈥疢ike Geyer, head of digital twins at NVIDIA.

This vision aligns closely with 麻豆原创鈥檚 mission to help the world run better and improve people鈥檚 lives鈥攏ot just through better software, but by connecting data, intelligence, and physical action. The collaboration reflects a bold step forward: turning digital intelligence into鈥痑utonomous execution at the edge, guided by business context and enterprise processes.

Looking ahead

The fusion of business AI, simulation technology, and cognitive robotics opens a new frontier鈥攚here enterprises can confidently extend automation beyond digital workflows into the physical world.

By shaping this new category of鈥痯hysical AI agents, 麻豆原创, NVIDIA, and NEURA Robotics are enabling businesses to reimagine what鈥檚 possible by creating a future where AI doesn鈥檛 just make decisions but also brings them to life.

But as AI becomes more independent, new risks emerge. So, how can we navigate this next frontier responsibly? This is a question that we at 麻豆原创 do not leave to chance.

From tools to teammates

Imagine you’re buying a car. You expect it to meet all safety standards, regardless of where the component parts are built or how the car is assembled. The process behind the scenes does not change your expectation of safety. The same goes for agentic AI.

Agentic AI systems are more than tools; they are intelligent agents that plan, learn from experience, self-correct, and collaborate. They’re capable of orchestrating complex processes, making decisions, and even engaging with other agents or humans to achieve a goal. However, with this leap forward comes a new layer of complexity and risk.

Core capabilities and risks of agentic AI

Agentic AI systems bring powerful capabilities like planning, reflection, and collaboration, enabling them to tackle complex tasks autonomously. They can map strategies, learn from mistakes, use external tools, and coordinate with humans and other agents.

However, each strength introduces risks. For example, flawed planning can cause inefficiencies, reflection may reinforce unethical behavior, tool usage can lead to instability when systems interact unpredictably, and unclear collaboration can result in miscommunication and compounded errors. Balancing these capabilities with proper safeguards is essential for safe, ethical deployment.

Managing autonomy: balancing freedom with control

One of the most pressing challenges with agentic AI is managing its autonomy. Left unchecked, these systems can veer off course, misinterpret context, or introduce subtle risks without immediate detection. To address this, organizations must strike a careful balance between freedom and control.

We have learned that oversight should be calibrated according to risk. High-stakes domains like healthcare or human resources demand robust human supervision, while low-risk, routine tasks can tolerate greater autonomy. Also, continuous monitoring is essential; agentic AI systems, like any complex technology, require regular checks to ensure quality, compliance, and reliability.

A key element of this oversight is maintaining a 鈥渉uman in the loop鈥� approach, where human judgment is integrated into critical decision points, ensuring that automated actions remain aligned with human values and organizational intent.

This principle has been at the heart of 麻豆原创鈥檚 ethical AI approach from the beginning, reflecting our belief that AI should augment, not replace, human decision-making. To reinforce this, 麻豆原创 has introduced mandatory ethics reviews for all agentic AI use cases, ensuring that each deployment is scrutinized for ethical implications and remains aligned with our responsible AI principles.

Click the button below to load the content from YouTube.

Always allow YouTube

Building transparency and accountability

Transparency is not just a buzzword; it鈥檚 a foundational requirement for building trust in agentic AI. From the outset, during the design phase, it is crucial to classify AI systems based on the complexity and risk of the tasks they perform. This classification guides decisions about the necessary safeguards and ensures that mechanisms for human intervention are integrated from the beginning.

At runtime, transparency is maintained through explainability and traceability. Developers and end-users must be able to understand what the system is doing and why. Crucially, accountability must always rest with humans or legal entities, never with the AI itself.

Rethinking governance and regulation

Despite the emergence of agentic AI, there have been no new regulations specifically crafted for it. Existing laws and frameworks such as GDPR still apply and provide a solid foundation for governance. However, what has changed is the level of technical rigor required to remain compliant and ethically sound. Organizations must now adopt more robust processes. They need to analyze use cases with greater precision, apply risk-based controls that match the potential impact of the AI system, and ensure that ethical and legal standards are upheld through enhanced design practices and ongoing testing.

Designing with human values at the center

Agentic AI cannot be an excuse for lowered standards. At 麻豆原创, the stance is unequivocal: Even in autonomous systems, AI must meet the highest ethical benchmarks. This means embedding principles such as fairness, transparency, and human agency directly into the design.

Ultimately, all users should be equipped with the tools and understanding they need to supervise and, when necessary, intervene in the system鈥檚 behavior.

Building trust in a black-box world

Trust in AI doesn鈥檛 happen by default; it must be intentionally built and continually reinforced. One of the most effective ways to do this is by giving stakeholders the right amount of information. Too much detail can be overwhelming and counterproductive while too little fosters blind trust or fear of the unknown. The key lies in communicating clearly about the system鈥檚 capabilities, risks, limitations, and appropriate use. Empowering users to critically assess the AI鈥檚 behavior 鈥� and to know when to step in 鈥� is central to creating a safe, secure, and trusted AI environment.

Rethinking KPIs in the AI-augmented workplace

As agentic systems, like our Joule Agents, begin handling more tasks, human roles will naturally evolve. To keep up with this shift, organizations need to rethink how they define and measure success. This starts with investing in change management and upskilling programs that prepare employees to work effectively alongside AI. It also requires redefining productivity metrics, moving beyond task completion to focus on how well humans and AI agents collaborate. Success should be measured by how efficiently teams harness AI to unlock new levels of insight and innovation.

Building AI that builds trust

Agentic AI is not just another phase; it is a transformation. But like any transformative technology, success depends on how it鈥檚 built, governed, and used.

At its best, agentic AI amplifies human capabilities, accelerates innovation, and helps tackle challenges once considered too complex. But it also demands a new level of diligence, oversight, and ethical reflection.

The future is not just about building smarter agents; it鈥檚 about building responsible ones.

Learn more:

• The Evolution from Chatbots to Agentic AI Systems

Walter Sun is senior vice president and head of AI at 麻豆原创.