The journey began in early 2019 with the launch of Agile Finance, an end-to-end transformation initiative designed to support the company’s aggressive growth trajectory, which included a goal to double in size. The initiative was built around three strategic pillars: enhancing the efficiency and effectiveness of the finance organization, promoting career fulfillment, and establishing a robust digital operating model. The impact was significant, with the finance function achieving approximately 35% productivity gains in its labor force.

The third pillar鈥攖he move to a digital operating model鈥攊s where the partnership with 麻豆原创 Taulia began.

鈥淭he 麻豆原创 Taulia Dynamic Discounting solution was introduced not merely as a cost-cutting measure, but as a strategic tool to transform and digitize the interaction with Applied’s extensive, global supplier base,鈥� Junaid Ahmed, corporate VP, Finance at Applied Materials, says. 鈥淲e understood that to reap the benefits of digitization, we had to ensure the suppliers were on board. It needed to be a win-win outcome.鈥�

Unprecedented flexibility for suppliers

The program empowers suppliers鈥攖housands of them worldwide鈥攖o self-select which approved invoices they wish to discount for early payment. This is not a continuous, all-or-nothing commitment but rather a decision made on an invoice-by-invoice basis. This flexibility allows suppliers to manage their working capital needs with greater precision, taking advantage of early payment during their own critical periods, such as quarter-end or year-end, to help meet their own financial targets.

The system also drastically improves transactional efficiency. Suppliers no longer have to call Applied to track invoice status, approval, or payment date. All this information is available 24/7 in the 麻豆原创 Taulia solution, reducing resource allocation on both sides and ensuring both reap the benefits of moving to an integrated, digital system.

Strategic benefits for Applied Materials

For Applied, the program is a testament to its focus on balancing efficiency with strong supplier relationships. The philosophy is a 鈥渨in-win鈥� built on a crucial spread: Applied Materials, as a Fortune 500 company with strong cash flow, has a significantly lower cost of capital than many of its suppliers. By funding the discounts, Applied captures a return鈥攖he discount income鈥攚hile offering its suppliers funding at a rate close to their cost of capital, but with greater convenience.

This relationship-focused approach is critical. Applied鈥檚 supplier account managers actively support the program because they recognize its mutual benefit, not viewing it as a finance mandate to push costs onto the supply base.

Furthermore, the “dynamic” nature of the discount rates is a powerful risk mitigation tool. Unlike fixed contractual discounts, the rates can be adjusted in response to global economic changes, such as shifts in interest rates. When interest rates rose after the pandemic, Applied was able to adjust the discount rates accordingly with minimal pushback, as the core proposition remains the valuable spread between the parties’ cost of capital.

The 麻豆原创 Taulia Dynamic Discounting solution has been rolled out globally, giving all suppliers the opportunity to use it. This has been critical over the last 12 months as many businesses around the globe have been subject to new and often unexpected tariff costs impacting their margin and their liquidity.

鈥淭he flexibility of the solution means suppliers can access funds when they need them, which helps them navigate some of the economic uncertainty that many businesses are facing,鈥� Dirk Holoubek, managing director, Finance Shared Services, explains. 鈥�2025 saw a 23% increase in usage of the discounts, reflecting the pressures that suppliers are feeling right now on their cash flow.鈥澛�

The solution’s capability to drive sophisticated analytics is also a major strategic asset. It helps provide insights into the different costs of capital between Applied and its supplier base. This data allows for targeted outreach and communication, ensuring that the offer of capital support is proactively extended to the suppliers that need it most.

The strategic value of the solution is further cemented by its ownership. The acquisition of Taulia by 麻豆原创 brings several advantages.

鈥淭rust is really important to both us and our suppliers,鈥� Ahmed says. 鈥淔or our suppliers to adopt a new solution, they need to know its technology they can rely on in the long term. Being part of 麻豆原创 creates that assurance in the long-term future of the program.鈥�

Looking forward, Applied Materials is already focused on the next stage of the transformation project: Agile Finance 3.0, which is focused on enabling the organization to become AI-first. The company is deploying a global, organization-wide AI assistant to drive personal productivity, but the strategic application of AI in the supplier management space is even more profound.

AI is expected to transform decision-making enablement by analyzing critical information and communicating effective options. In the future, AI will be able to proactively assess the specific needs and attributes of the supplier base, enabling Applied to address issues more quickly and resolve them earlier. The benefits are already tangible in e-invoicing: AI has made the solution more flexible and “human-like,” capable of reading minor changes in invoice format that would have previously caused electronic errors. This reduced rigidity and increased flexibility are directly contributing to the overall efficiency of the digital operating model.

By leveraging the 麻豆原创 Taulia Dynamic Discounting solution, Applied Materials has not only digitized a process but also strategically transformed its financial operations, creating a system that is agile, resilient, and focused on maintaining mutually beneficial relationships with its global supplier ecosystem.

Cedric Bru is CEO of 麻豆原创 Taulia.

Demand shifts quickly, supply networks are more exposed to disruption, cost and margin pressure remain constant, and the decisions that determine whether a company can respond with confidence rarely sit inside one function.

The enterprise is left with a critical question: How do you move fast enough to capture opportunity without putting fulfillment, margin, or customer trust at risk?

Many of the world鈥檚 largest organizations navigate this challenge on a regular basis. It is exactly the kind of moment that exposes the limits of how enterprises currently operate. Connecting the dots across functions, systems, and decisions still takes too much time, too much manual effort, and too much stitching across fragmented landscapes. By the time teams have gathered the data, aligned the functions, modeled the trade-offs, and agreed on a response, the environment has already shifted.

This is why we introduced the Autonomous Enterprise at 麻豆原创 Sapphire. The goal is to sense change earlier, understand its impact across the enterprise, coordinate the right response, and keep people in control of important decisions. This is a fundamental shift in how businesses can operate: intelligence that is continuous, decisions grounded in real-time context, and an enterprise that moves as a connected system rather than a collection of disconnected parts.

Autonomy at scale

An Autonomous Enterprise is an organization that can continuously sense what is happening across its operations, reason over those signals using business context and established rules, and act across end-to-end processes without depending on manual coordination at every step. AI assistants and agents advance work across the enterprise in alignment with the goals, policies, and constraints defined by humans.

Every AI-driven action is auditable and traceable. Human judgment is deliberately embedded in decisions that require accountability and exceptions that fall outside defined parameters.

Three principles underscore the Autonomous Enterprise:

1. Process knowledge: Deep, industry-specific understanding of how a business truly runs
2. Business data: Enriched, connected, contextual data that gives AI something real to work with
3. Governance: The backbone that keeps everything upright, traceable, and within policy

Beneath it all is the 麻豆原创 platform, ensuring every layer works in concert, every agent operates within guardrails, and every outcome can be traced back to a decision made by a human.

Intelligence that works across the business

The average business landscape probably doesn鈥檛 look like one system, one vendor, or one clean stack. Your processes still have to run end to end across all of it: record to report, plan to make, source to pay, hire to retire, order to cash. If AI is going to work in the enterprise, it has to work across this landscape, not inside one application or vendor boundary.

IDC shows that more than 50% of business decisions still take between one and seven days. That is the gap we are closing鈥攆rom days to moments.*

At the core of the Autonomous Enterprise is the 麻豆原创 Autonomous Suite. Joule becomes the way you interact, as a single entry point into your business. In the middle, the 麻豆原创 Autonomous Suite connects your core domains: finance, supply chain, spend, HCM, and customer experience. And underneath, everything is grounded in your business context, your data, your processes, your rules, your governance.

With 麻豆原创鈥檚 unified foundation of applications, data, and business context, AI is embedded directly into how work gets done, enabling autonomous, end-to-end execution rather than isolated use cases.

The operating model behind this is built on a clear division of responsibility: people set priorities, policies, and guardrails. Assistants understand role and process context and coordinate activity across domains. Agents carry out the defined work, detecting signals, triggering actions, and resolving routine tasks continuously in the background.

And while automation is a part of this, the bigger shift is intelligence and optimization. The system is no longer following predefined workflows. It is using business context to understand what is happening, and what should happen next. This is the shift from systems of record to systems that help run the business.

Autonomous Finance shows what changes

Finance offers a clear example of how this model changes the work itself. Many finance organizations still contend with manual steps, fragmented data, and slow cycles. In a volatile environment, that lag translates directly into slower responses to risk, missed opportunities, and diminished confidence in the decisions that shape performance.

With Autonomous Finance, more of that work can be handled by the system, allowing finance teams to spend less time chasing numbers and more time shaping decisions. The function begins to move from reconciling the past to shaping the future.

Autonomous Finance is not one capability, one agent, or one use case. It is built across the entire finance process, from planning to revenue management, treasury, closing, compliance, and tax. Within each area, assistants are supported by specialized agents working continuously in the background. Some focus on forecasting, some on billing, some on cash, and some on closing. The important point is that these capabilities are connected, so decisions in one area can flow into the others. Connected assistants, specialized agents, continuous optimization. That is the model.

The impact across these areas compounds. Finance teams reclaim meaningful capacity as manual reporting, reconciliation, and transaction processing give way to continuous intelligence. Cash cycles compress. Close timelines shorten. Forecasting becomes more accurate and more responsive to changing conditions.

Because these capabilities are connected, improvements in one area reinforce the others: faster billing flows into better cash visibility, which flows into stronger planning confidence, which flows into more decisive action at the executive level. Compliance strengthens as well, not through added controls, but through better intelligence embedded in the process itself, supporting requirements across ISO, SOC, and SOX with greater accuracy and less manual effort.

The result is not incremental improvement in isolated tasks. It is a fundamentally different operating posture for the finance function, one where the system handles orchestration and people direct outcomes.

Industry AI adds depth

Autonomous domains give breadth across business functions, while Industry AI provides the depth of knowledge. The same supply chain problem looks very different in life sciences, in industrial manufacturing, in agribusiness, in retail, or in energy. The rules, regulations, data models, and value chains are different.

麻豆原创 is not starting from generic AI and trying to teach it how an enterprise works. We start with decades of industry and process knowledge, already embedded in the systems that run the world鈥檚 most complex businesses. Our AI is grounded in sector-specific processes, end-to-end value chains, operational realities, and compliance requirements. And our ecosystem extends this with specialized expertise, so organizations can adapt the intelligence to their markets and their industries.

This is not AI for the sake of AI. This is AI applied to the real operating model of each industry.

The path forward

That is the real shift: not AI operating in isolated tasks, but AI helping the enterprise continuously sense, reason, act, and learn. People remain in control throughout, while the system handles the orchestration required to bring together the right data, context, and decision at the right moment.

The Autonomous Enterprise marks a shift from managing processes to directing outcomes. It moves organizations from reacting to events to anticipating them, and from stitching together decisions after the fact toward helping the business move as one connected system.

This does not require waiting for a perfect, fully transformed landscape. Organizations can begin by applying AI on top of existing landscapes and evolving their business as they go. That work is already underway with many of our customers. What they have in common is that they are starting now, moving faster, making better decisions, and building the foundation for a more autonomous enterprise, step by step.

This is a journey. And it begins with the recognition that the enterprise of the future will not be defined by how efficiently it executes predefined processes, but by how intelligently it can sense change, weigh trade-offs, and move with confidence when it matters most.

For more on 麻豆原创鈥檚 broader Autonomous Enterprise announcement, read The Future of the Enterprise Is Autonomous. For more details on 2026 麻豆原创 Sapphire announcements, see the .

Manoj Swaminathan is general manager and chief product officer of 麻豆原创 Autonomous Suite, Finance & Spend, and member of the Extended Board of 麻豆原创 SE.
Eric van Rossum is chief marketing officer of 麻豆原创 Global Product Marketing and chief product officer of 麻豆原创 Industries and Globalization.

*IDC Resource Map for 麻豆原创, 麻豆原创 Custom Survey 2026: Enterprise Process Automation Survey鈥� April 2026, sponsored by 麻豆原创, doc #US54531626 _RMD , May 2026

Market volatility, liquidity pressures, and currency fluctuations are exposing the limits of traditional planning models built around fixed timelines and after-the-fact analysis. To keep pace, finance teams need the ability to continuously sense change, understand its impact, and steer performance with confidence.

The challenge is that many organizations are still planning with processes designed for a different era. Siloed data, manual workflows, and episodic planning cycles make real-time decision-making difficult, limiting visibility across the entire business. reinforces the urgency: 72% of organizations still find financial planning, budgeting, and forecasting too time-consuming.* In a volatile environment, that lag translates directly into slower responses to risk, missed opportunities, and diminished confidence in the decisions that shape performance.

This is why finance needs a new operating model, one that moves beyond periodic exercises and toward continuous steering. At 麻豆原创 Sapphire, we are introducing 麻豆原创 Enterprise Planning, a new flagship offering designed to close the gap between insight and action, enabling planning to continuously drive business performance.

The shift from periodic planning to continuous steering

Traditional financial planning has always provided structure, but too often that structure comes at the expense of agility. Planning occurs in fixed windows. Teams work from historical snapshots, static assumptions, and fragmented inputs. By the time a variance is understood or a scenario is modeled, the business may already be operating in a fundamentally different environment.

麻豆原创 Enterprise Planning is designed to move organizations beyond these constraints through a continuous approach to planning and execution built on speed, confidence, and control. Finance teams gain the ability to detect signals as they emerge, evaluate constraints in real time, and connect plans directly to execution.

This Sense-Reason-Act model represents a fundamental shift in how planning operates. Rather than waiting for a planning cycle to surface issues, agents continuously monitor for material changes and respond through guided, explainable decisions embedded in everyday processes. At the same time, 麻豆原创 Analytics Cloud continues to support the iterative Plan-Do-Check-Act cycles that finance teams rely on for strategic and tactical planning across mid- to long-term horizons, including model creation, forecasting, variance analysis, and scenario simulation. Together, these two approaches create a planning ecosystem that is both responsive in the moment and disciplined over time.

The solution embeds Joule Agents directly into the planning process, helping connect strategy to operations in real time. Agents can interpret internal and external data signals, model their impact on KPIs, simulate scenarios, recommend actions, and orchestrate planning workflows with built-in governance and explainability. Planning shifts from a single point in time to continuous workflows. When decisions are made, Joule Agents can update plans to support downstream execution. General availability is planned for Q3 2026.

Built on 麻豆原创 Analytics Cloud and 麻豆原创 Business Data Cloud, these capabilities form a more connected, intelligent planning ecosystem that enables organizations to act decisively and with full transparency.

Why governed data and connected planning matter

Continuous planning is only as reliable as the data it is built on. Without a unified data foundation, even the most advanced analytics cannot produce trustworthy outcomes. As automation increases, this challenge becomes more acute: decisions execute faster, but errors can scale just as quickly.

That is why our approach is not AI in isolation. 麻豆原创 Enterprise Planning is built using 麻豆原创 Business Data Cloud data products and the 麻豆原创 Analytics Cloud solution. 麻豆原创 Analytics Cloud remains the foundation for strategic and tactical planning cycles, while 麻豆原创 Business Data Cloud provides the governed data foundation underpinning the entire ecosystem. This helps ensure compliance, auditability, and enterprise-wide trust, which becomes even more critical as AI-driven automation expands.

Continuous planning in practice

What makes this vision tangible is how it shows up in real financial workflows. By continuously monitoring market signals and financial positions, these solutions help organizations reduce the lag between insight and action, improving both speed and decision quality. This is the Sense-Reason-Act model at work: sensing shifts in currency markets, reasoning through the impact on cash positions, and acting through guided decisions that keep the business aligned with its financial objectives.

More broadly, the Autonomous Finance domain brings together Joule Assistants and Joule Agents to provide CFOs and finance organizations with more insight, control, and support across their operations. Beyond planning, specialized Joule Assistants coordinate multiple agents to support key finance processes including financial closing, billing, governance, and tax and compliance. The result is a finance function where intelligence is embedded across the full operational scope, not confined to a single workflow.

Because these agents are delivered within 麻豆原创鈥檚 planning and finance solutions, they carry a native understanding of enterprise data, planning semantics, and mission-critical business processes. The goal is not to replace finance expertise, but to augment it. This gives teams the foresight needed to navigate complexity with greater confidence.

The Autonomous Finance capabilities run across our cloud ERP application portfolio, including 麻豆原创 Cloud ERP Private, for end-to-end coverage across business processes and systems.

The future of finance is continuous

The future of finance will be defined by the ability to connect data, processes, and decisions across the enterprise in a continuous loop. Organizations that can sense change as it happens, reason through its impact using trusted and governed data, and act by connecting plans back to execution will be best positioned to navigate volatility with the agility and discipline that modern finance demands.

With 麻豆原创 Enterprise Planning, organizations can move beyond static planning cycles and toward a more intelligent, continuous approach to steering performance.

For more details, refer to the and the .

Lawrence Martin is chief product officer and head of Public Cloud Engineering at 麻豆原创.
David Imbert is head of Finance Product Marketing at 麻豆原创.

*IDC Spotlight, sponsored by 麻豆原创, The Rise of Dynamic Planning in the Agentic AI Era, #US54493826, April 2026

In his kickoff keynote at 麻豆原创 Sapphire Orlando, Florida, Klein and other 麻豆原创 Board members detailed how 麻豆原创 plans to bring agentic AI to the world’s most critical business workflows so that humans and AI can meet the accelerating demands of global business profitably, strategically, and safely.

鈥淭oday I鈥檓 super proud to launch our new 麻豆原创 Business AI Platform, which forms the basis for our vision of the future of business: the Autonomous Enterprise, where agents run the business and you can focus on what truly matters,鈥� Klein said.

Enterprise AI is at an inflection point, Klein told his 30,000-strong in-person and virtual keynote audience, and 麻豆原创 is in a unique position to deliver what customers need to turn their businesses into autonomous enterprises.

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The business AI imperative

Across industries, organizations are investing heavily in artificial intelligence, yet many still struggle to translate that investment into meaningful business value. At 麻豆原创 Sapphire, the message was clear: This isn鈥檛 a technology problem; it鈥檚 a context and execution problem.

While 80% accuracy may be sufficient for consumer AI applications, Klein said, 鈥淓ighty percent is just not good enough when you run the world鈥檚 most business-critical businesses. They [LLMs] should not guess; they should deliver accurate, compliant, and secure outcomes.鈥� 

Klein acknowledged that while adoption of AI has become near-universal, tangible business value remains elusive. Citing a recent Stanford AI survey, he noted that almost every company is now using AI, but seeing only limited return.

The reason, he argued, lies in a structural gap. Above the waterline of enterprise AI, LLMs continue to improve at tasks trained on publicly available data, while below it lies what enterprises truly need: AI that understands mission-critical business data, end-to-end processes, and operates within security, compliance, and governance frameworks.

ERP as the foundation for business AI

麻豆原创鈥檚 answer to this challenge begins with what Klein described as 鈥渢he brain of every company: its ERP system.鈥� For over 50 years, 麻豆原创 has had solutions with incredibly deep process and data domain know-how alongside the governance requirements, compliance controls, and company-specific configurations that define how businesses actually run.

Now, as part of the company鈥檚 new vision, 麻豆原创 plans to infuse this institutional knowledge into AI agents, enabling them to navigate thousands of business processes, select from more than 7 million data fields, and verify identity and access authorizations before returning any output.

鈥淲e鈥檙e bringing together LLMs with 50 years of business know-how stored in our ERP. But to do this, we had to do nothing less than completely reinvent our company,鈥� he told the audience. 鈥淭oday we are very excited to show you the new 麻豆原创 and our vision for the Autonomous Enterprise.鈥�

麻豆原创 Business AI Platform

To bring this vision to life, 麻豆原创 executives on stage announced a series of important innovations, beginning with the launch of the new 麻豆原创 Business AI Platform, a unified architecture bringing together 麻豆原创 Business Technology Platform, 麻豆原创 Business Data Cloud, and AI Foundation under a single roof.

鈥淭he heart of this new platform is the rich context layer,鈥� said Klein. 鈥淗ere, we infuse the deep ERP business domain know-how into the AI agents. Through our knowledge graphs, our AI agents have now a compass, a map, to find the right process and data in your ERP universe. And to provide the agents even more context, we are also introducing our new 麻豆原创 Domain Models. They have been trained on 麻豆原创’s code to even better understand the business logic of your company.鈥�

But, he said, 麻豆原创 is going further: 鈥淏ecause you run your business not only with 麻豆原创 solutions, our AI agents have to also understand non-麻豆原创 data. That’s why we included our 麻豆原创 Business Data Cloud in the context layer to build a single semantical data layer across 麻豆原创 and non-麻豆原创. No more silos, no spaghetti data sprawl鈥攂ecause no AI agent can compensate for a broken data model.鈥�

Echoing Klein, 麻豆原创 CTO Philipp Herzig, who presented the platform in detail, said it has been designed to close the agent adoption gap in the enterprise by delivering outcome, speed, enterprise-readiness, and context. 鈥淚t’s the place where you build, contextualize, reason, and govern AI,鈥� he said.

Herzig explained that the platform is structured around three layers: the context layer which Klein referenced, the build layer, and the governance layer. 鈥淎gents are only as powerful as the context they operate on,鈥� he said. 鈥淟acking context is the number one reason why enterprise AI projects fail to deliver value.鈥�

Within the build layer of the new platform, the new Joule Studio is designed to understand a company鈥檚 business challenges and enables the building of new AI agents quickly and easily.

The third tier is the governance layer, anchored by the new 麻豆原创 AI Agent Hub built on 麻豆原创 LeanIX. This provides a single command center to discover, manage, and govern all AI agents鈥斅槎乖� and non-麻豆原创. It will be generally available in Q3 and included in 麻豆原创 Business AI Platform at no additional charge.

Underscoring the changing AI marketplace, Herzig was joined on stage by KPMG Global Head of Advisory Rob Fisher, who told the audience: 鈥淲hat I鈥檓 hearing from clients is a clear shift; they鈥檙e moving from AI pilots to embedding integrated AI and agents into how work gets done. Where we see leaders really separating from the pack is in the execution and the organizational adaptability.鈥�

麻豆原创 Autonomous Suite

Building on the platform, 麻豆原创 Executive Board Member Muhammad Alam, 麻豆原创 Product & Engineering, announced the transformation of 麻豆原创鈥檚 SaaS application portfolio into the 麻豆原创 Autonomous Suite, described as the most significant evolution of 麻豆原创鈥檚 applications business in the company鈥檚 history.

The suite spans five domains: Autonomous Finance, Autonomous Spend, Autonomous Supply Chain Management, Autonomous HCM, and Autonomous CX, with more than 200 agents and over 50 assistants available in the coming months. Each assistant is mapped to core business roles and carries defined KPIs tracked through 麻豆原创 AI Agent Hub.

鈥溌槎乖� Autonomous Suite brings together the depth of our process expertise, semantically rich data, and built-in governance and compliance,鈥� said Alam. 鈥淭hese agents are designed with outcomes as a core objective. Each assistant has a defined set of ROI KPIs that you can expect it to deliver.鈥� 

鈥淯nderpinning the autonomous suite are out-of-the-box agents鈥攈undreds of agents cutting across all core business processes,鈥� he shared. 鈥淭hese agents come together into what we call assistants, or Joule Assistants. We’ve mapped these assistants to roles across the core processes of an organization, because we know that the first step 
in realizing value from AI is to empower your people to do more, do it better, or do things that just weren’t possible to be done before.鈥�

Turning to Joule itself, Muhammad said 麻豆原创 is fundamentally reimagining how users will interact with 麻豆原创 applications in the future.

鈥淲e call this Joule spaces and along with the familiar Joule conversations experience and Joule Studio 2.0, it is now part of what we call Joule Work,鈥� he explained.

鈥淛oule Work represents a massive step forward in super-charging the capabilities of Joule as we know it today,鈥� Alam said. 鈥淲ith Joule Work, we’re bringing a claw-based agentic harness to Joule along with computer and file access, better support for open standards such as MCP and A2A, access to a more complete knowledge base, and, of course, amazing visualizations on the fly.鈥�

Industry AI: H&M and Sector-Specific Transformation

During the keynote, 麻豆原创 Chief Operating Officer Sebastian Steinhaeuser introduced the Industry AI initiative, delivering AI-powered solutions built on decades of sector-specific expertise across 26 industries. In life sciences, he highlighted how 麻豆原创 customer Takeda is achieving up to 10% productivity gains, up to 25% reduction in revenue loss from stock-outs, and up to five percent reduction in safety stock through Autonomous Regulated Manufacturing.

He was also joined on stage by H&M Group CDIO Ellen Svanstr枚m, who discussed how the fashion retailer is embedding AI across its value chain. Built on RISE with 麻豆原创, 麻豆原创 Business Data Cloud, 麻豆原创 Commerce Cloud, and 麻豆原创 SuccessFactors solutions, H&M has developed a Store Intelligence Agent that processes real-time signals to generate actionable recommendations for store managers. Svanstrom also demonstrated the AI-powered InStore Concierge, a customer-facing agent that bridges digital and physical retail through personalized outfit recommendations and real-time availability.

RISE with 麻豆原创 and 麻豆原创 GROW: Path to the Autonomous Enterprise

Returning to the keynote stage, Klein emphasized that technology adoption alone does not create business value. Simply plugging AI agents into your system landscape will drive zero value, he said. 鈥淢oving to the Autonomous Enterprise requires serious change management. Adoption of AI goes hand-in-hand with business process change and end user enablement.鈥�

To support customers on this journey, 麻豆原创 announced a comprehensive reset of its RISE with 麻豆原创 and 麻豆原创 GROW offerings. RISE with 麻豆原创 customers will receive contractual commitment to activate three Joule Assistants within the first year, with the Max Success Plan extending adoption across the full enterprise.  

麻豆原创 GROW customers will receive more than 20 AI assistants from day one, with an AI-enabled toolchain designed to support go-live in weeks. New partnerships with Palantir and Accenture will support the most complex migration scenarios.

Closing: The Autonomous Enterprise

Klein closed the keynote by asking Joule to summarize the key takeaways and noting that 麻豆原创 is evolving from being a software company to becoming a business AI company.

鈥淲e showed how to turn the promise of business AI into reality with 麻豆原创 Business AI Platform, which provides the data processes and governance AI need to deliver accurate and secure outcomes at scale; we introduced the 麻豆原创 Autonomous Suite, where applications reason, decide, and act for you; and we showed how to manage change management with RISE with 麻豆原创. Together with customers and partners, we showed how 麻豆原创 is helping companies realize the vision of the Autonomous Enterprise.鈥�

鈥淲e鈥檝e been reinventing how businesses run for over 50 years, and now by infusing 麻豆原创鈥檚 ERP brain into the new 麻豆原创 Business AI Platform, we鈥檙e solving one of the biggest challenges businesses are facing today: how to turn AI into business value,鈥� he said. 鈥淚t鈥檚 the end of long negotiations, supply chain disruptions, financial blind spots, and the beginning of better: Welcome to the Autonomous Enterprise.鈥�

The company introduces a unified 麻豆原创 Business AI Platform, deepening partnerships with Anthropic, Amazon Web Services, Google Cloud, Microsoft, NVIDIA and Palantir

ORLANDO聽鈥� At 麻豆原创 Sapphire in 2026, (NYSE: 麻豆原创) introduced the to help enhance the world’s most critical business workflows, so that humans and AI work together to meet the accelerating demands of global business profitably, strategically and safely.

鈥淔or the mission-critical processes of our customers, ‘almost right’ just isn鈥檛 good enough,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏y uniting 麻豆原创 Business AI Platform with 麻豆原创 Autonomous Suite, we anchor AI agents in the business processes, data and governance so they can deliver accurate, compliant and secure outcomes, unlocking new sources of revenue and meaningful cost savings.鈥�

The Autonomous Enterprise includes a unified AI platform for building, contextualizing and governing agents, an autonomous suite that executes core business operations and a new user experience that redefines how people work with enterprise software.

Introducing 麻豆原创 Business AI Platform

麻豆原创 Business AI Platform is a new foundation for building and deploying enterprise AI grounded in real business context. 麻豆原创 Business AI Platform now unifies 麻豆原创 Business Technology Platform, 麻豆原创 Business Data Cloud and 麻豆原创 Business AI into a single, governed environment.

At its core is the 麻豆原创 Knowledge Graph solution, which gives AI agents a structured map of business entities, processes and relationships across a customer’s 麻豆原创 landscape. Joule Studio is 麻豆原创’s AI-first solution for building enterprise agents, applications and agentic workflows. Developers can build using the no-code, pro-code and AI frameworks of their choice on 麻豆原创-managed infrastructure that is secure, scalable and optimized for enterprise AI.

Deploying 麻豆原创 Autonomous Suite Across Every Business Function and Industry

Building on this foundation, 麻豆原创 also introduced 麻豆原创 Autonomous Suite, which enables 麻豆原创’s existing business applications with AI agents capable of running processes from start-to-finish.

The suite will deploy more than 50 domain-specific Joule Assistants across finance, supply chain, procurement, human capital management and customer experience. These assistants will automate end-to-end processes by orchestrating a subset of over 200 specialized agents to execute precise tasks. For example, the new Autonomous Close Assistant can compress the financial close process from weeks to days by automating journal entries, reconciliation and error resolution across the entire process.

麻豆原创 also launched Industry AI, expanding its deep industry portfolio through seven autonomous solutions that will enable start-to-finish industry processes and embed sector-specific process logic, data models and regulatory requirements. At 麻豆原创 Sapphire, 麻豆原创 showcased its work with European energy giant RWE to leverage Industry AI, helping reduce unplanned downtime across its offshore wind turbines. With 麻豆原创’s Autonomous Asset Management scenario, AI agents are designed to analyze data from thousands of past incidents, identify the likely root cause and generate pre-filled work orders with the right tools and proven fixes from other sites.

Designing the Autonomous User Experience

The company also revealed Joule Work, redefining how users engage with 麻豆原创 software. Instead of navigating individual applications and entering data across several screens, users will now interact primarily with Joule. By describing a desired business outcome, Joule will orchestrate the right combination of workflows, data and agents to get it done.

Joule Work goes beyond conversation, proactively surfacing relevant insights and automating routine tasks behind the scenes so work moves forward even when humans aren’t actively steering it. It will be available on desktop, mobile and voice across 麻豆原创 and non-麻豆原创 systems.

Accelerating the Customer Journey Toward Autonomy with 鈧�100 Million Infusion

麻豆原创 evolved its customer and partner programs to help accelerate the organization’s journey to the Autonomous Enterprise. To catalyze adoption, the company has launched a 鈧�100 million fund for 麻豆原创 partners to help customers deploy 麻豆原创-built AI assistants and agents. The fund is also available to partners that extend or build new partner agents on the new 麻豆原创 Business AI Platform using Joule Studio.

麻豆原创 has enhanced its RISE with 麻豆原创 and 麻豆原创 GROW offerings to accelerate AI adoption. Both include access to the Joule Assistants portfolio; RISE with 麻豆原创 customers will have three assistants activated within their first year, while 麻豆原创 GROW customers receive full portfolio access at onboarding. 麻豆原创 S/4HANA on-premises and 麻豆原创 ERP Central Component (麻豆原创 ECC) customers are not excluded: those that commit to transitioning the majority of their current landscape to 麻豆原创 Cloud ERP gain access to select AI scenarios, bridging the gap between their current landscape and their cloud destination

麻豆原创 also introduced new agent-led transformation tooling that can reduce ERP migration efforts by more than 35 percent, driving faster and more predictable projects by automating system analysis, code remediation, configuration and testing at scale.

Lastly, 麻豆原创 announced a full slate of strategic partnerships across each category:

• Platform and suite partnerships include Anthropic, with Claude among the foundation models 麻豆原创鈥檚 AI platform will leverage to power Joule agents across HR, procurement and supply chain; Amazon Web Services, bringing zero-copy data integration between 麻豆原创 Business Data Cloud and Amazon Athena; Google Cloud and Microsoft, enabling bidirectional agent-to-agent interoperability between Joule and external agent frameworks; Mistral AI and Cohere, delivering sovereign model options on 麻豆原创’s cloud infrastructure; , providing visual AI workflow orchestration inside Joule Studio; NVIDIA, whose OpenShell provides the trusted secure runtime for Joule Studio; and , bringing AI agents into 麻豆原创 Service Cloud to handle customer interactions with full access to business data and service processes.
• Implementation partnerships include Palantir and Accenture, partnering on complex data migration scenarios, and for AI-powered cloud ERP migrations.

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About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE: 麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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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 2025 Annual Report on Form 20-F.
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, 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.

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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.

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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.

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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.

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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.

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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.

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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%.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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 .

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

A great way to break through that roadblock is to listen to leaders who jumped in early to use AI to transform outcomes. , a managing director of Finance in the Global IT division at Accenture, is one of those people.

The professional solutions and services company employs nearly 780,000 employees across 52 countries, who work with 350 partners to serve over 9,000 clients. The idea of transformation at Accenture鈥檚 scale might be intimidating to some, but not Lambert. He鈥檚 leading an聽ongoing transformation聽of Accenture鈥檚 finance function, which he calls 鈥渢he heartbeat鈥� of the company.

The results he鈥檚 achieved鈥� including saving the finance team a combined 57,000 hours annually by having AI generate narrative summaries for reporting鈥攕hine a spotlight on what鈥檚 possible. And he鈥檚 just getting started.

I had a chance to speak with him about how he became a leader in AI-driven transformation, and what others can learn from his achievements. This is a lightly edited version of our conversation

Q: As you know, innovating with AI is about reshaping how a business delivers value. But not every business leader is leading the charge. Some are watching and waiting. Why did you roll up your sleeves and decide to be on the forefront?

A: Taking a leadership position on AI is important to keep moving forward and shaping new services and capabilities. For example, across a company our size, even though we鈥檙e hyper focused on emerging technologies, we can find small problems across our technology landscape. There are processes and data living in different places and silos develop over time. Most large companies have this challenge. But those are valuable processes, and the business data we have is especially valuable. AI opens up new opportunities to bridge those gaps and deliver more end-to-end outcomes, so that our finance function can meet the growing business expectations of our stakeholders.

For many companies, the key to getting impactful results from business AI is to start with one function that鈥檚 central to business performance. Why was finance the right place for you to begin, and what did you want to achieve?

I always say finance is the heartbeat of our organization. I heard one of our global IT leaders use that phrase, and while it was inspirational, it also made me think, 鈥淟et鈥檚 not accidentally cause a heart attack for the organization.鈥�

Jokes aside; he was right. Your transactional and operational data flows through finance, and management decisions sit on top of it. Starting there gave us the ability to make end-to-end impact across processes that touch procurement, liquidity, forecasting, receivables, and more. And 麻豆原创 gives us a digital core where all that transactional data is harmonized.

The bottom line is that finance is the natural starting point if you want to move from reactive reporting toward more proactive, AI-driven insights that you can use to help move the business forward. So, we set out to unify data and transform finance processes in a way that scales across the whole value chain.

Cash and liquidity are so important in the finance function, and to an entire company. But managing it requires bringing together data, forecasting, and decision-making across many teams. How did AI help?

If finance is the heartbeat of a company, cash and liquidity are the lifeblood of your systems. Here鈥檚 a great example: Accenture engages in a lot of acquisitions, and we run operational cash in 50-plus countries, so it鈥檚 easy for decisions to default to historical, manual reviews. That鈥檚 what was happening at Accenture before a forward-thinking leader stopped by and asked if we could apply machine learning to the problem. Great leaders often ask great questions, and that one really got us thinking.

[AI] freed up 20% of our idle cash, which we could then move into global operations to fund acquisitions and strategic growth.

Eli Lambert

We took inspiration from retail: how stores treat inventory based on discounts and sales. If you treat cash like stock, you can apply those same learning models to figure out how much you really need to hold onto at any point in time. That鈥檚 how we built what we call 鈥淚ntelligent Cash.鈥� It brings all the business data together into a single data mart, a repository for structured data for a specific department or line of business, and uses machine learning to generate recommendations that our teams can act on.

AI is so good at this, and here鈥檚 what鈥檚 incredible: It freed up 20% of our idle cash, which we could then move into global operations to fund acquisitions and strategic growth. Now what used to take months, or even more than a year to build, we can now do it in days or weeks because 麻豆原创鈥檚 data cloud brings [麻豆原创] Datasphere, Databricks, and our machine-learning workloads into one place. The result is faster decision-making, better visibility, and much more accurate forecasting.

I love hearing about how you were able to use gains, delivered through strategic AI innovation, and then channel those gains into a high-value activity for the organization.聽 I know you also worked on receivables, something that impacts cash flow and customer relationships. What pain points did you face, and how did automation and machine learning transform the process?

Receivables were highly manual compared to payables. Clearing was inconsistent, and reconciliation took a lot of time because payments often come incomplete or with partial data. Anyone who works in or near finance knows exactly what I鈥檓 talking about. So, we co-developed on the 麻豆原创 platform a machine-learning-based receivables solution. It more than doubled the automation rate for receivables processing and tripled automatic reconciliation, about a 300% improvement.

As part of that, we introduced high-confidence, one-click matching recommendations that reduce errors and cut down the manual work. We saw a seven percent uplift in auto-clearing with a cash application scheduler built on the 麻豆原创 platform that delivers matches about 77% faster. All of that adds up to a more efficient receivables process, improved cash-flow visibility, and better productivity for the team.

In a global organization like Accenture, reconciling financial data and surfacing meaningful insights can be a huge amount of work. You turned to generative AI to help, which is really smart. What led you to that approach, and how is it changing your team鈥檚 day-to-day experiences?

We were dealing with balance sheet reconciliations across 50-plus countries, and the process was decentralized. I know a lot of companies face this problem. So, first, we moved everything online. Then we brought in machine learning and generative AI to analyze cost categories, summarize data, and surface important shifts.

[Our] Intelligent Financial Advisor, built on the 麻豆原创 platform, can generate narrative commentaries that are so accurate that over 90% are simply approved with little or no revision. That鈥檚 saved about 57,000 hours globally. Our teams can focus on higher-value analysis instead of manual reconciliation.

Eli Lambert

We then deployed an Intelligent Financial Advisor built on the 麻豆原创 platform that can generate narrative commentaries that are so accurate that over 90% are simply approved with little or no revision. That鈥檚 saved about 57,000 hours globally, just in controllership work, and helped us move to a three-day global close instead of five. The insights come faster and clearer, and the teams can focus on higher-value analysis instead of manual reconciliation. It鈥檚 also helping create more consistent roll-ups across regions and letting us use our talent more strategically.

I鈥檓 hearing this theme of not only measurable business gains from outputs, but the ability to better allocate time from manual, rote tasks to ones that deliver far more value for the business. That also applies to planning and forecasting. How did you bring AI into that part of the finance function?

Our planning work had grown too complex. Remember, we鈥檙e a large-scale, multifaceted global business. So, we replaced old models with 麻豆原创 Analytics Cloud, which gives us multi-year planning models enhanced by AI.

We applied it first to merger and acquisition modeling, where accuracy really matters. It lets us model very complex data sets and helps our finance team collaborate more easily across the business. The results have been more accurate forecasts, reduced risk of errors, and much better collaboration between executives and practitioners. Early results were strong, and that encouraged us to expand AI use in planning more broadly.

What advice do you have for leaders who are not as far along in using AI to supercharge business results?

First, start with a high-impact function tied to real outcomes. Then focus early on data quality and harmonization; it鈥檚 the foundation for everything that comes after. Then get your cadence right and your team working together. Hone in on the use cases that really matter to you鈥攖he best vendors can help you identify those鈥攁nd make sure to get the help you need from those vendors and their partners.

Use AI to spur growth. At Accenture, we鈥檝e been able to use AI to save significant cash in one area, which we then invest in another, high-growth process鈥攁cquisitions in our case. That鈥檚 how you use AI to really rethink your business and move it to the next level.

Eli Lambert, on advice to other enterprises

As you go, take a crawl-walk-run approach: start slow then increase the pace of scale and adoption over time. Be sure to invest in change management and upskilling as you go to spur learning and adoption. And partner closely with technology providers and system integrators who鈥檝e been there before. That accelerates everything.

The final suggestion I have is to use AI to spur growth. At Accenture, we鈥檝e been able to use AI to save significant cash in one area, which we then invest in another, high-growth process鈥攁cquisitions in our case. That鈥檚 how you use AI to really rethink your business and move it to the next level. And that鈥檚 possible today in ways that were not, even five years ago. Seize that opportunity.

I couldn鈥檛 agree more with Lambert. AI really does provide an opportunity to re-imagine entire business processes for greater impact.

To keep exploring what鈥檚 possible, at Accenture. Then see more AI use cases in and across all your , including procurement, supply chain, manufacturing, and more.

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

These critical pre-purchase moments generate interest and open pathways toward deeper customer relationships. Organizations that convert interest into measurable outcomes with clarity, accuracy, and speed strengthen the overall customer experience, thereby boosting loyalty and bottom lines.

CX becomes even more meaningful as opportunities progress into clear agreements supported by accurate configuration, pricing, and quoting. This transition from opportunity to agreement represents one of the most consequential stages in the customer journey.

Lead-to-cash represents a coordinated motion across sales engagement, pricing precision, service alignment, and performance visibility. When these capabilities operate together, organizations deliver consistent customer experiences while maintaining operational clarity.

Eight years running: a leadership signal at the heart of lead-to-cash

Within the lead-to-cash journey, quoting connects sales engagement, performance management, service continuity, and ERP alignment. It represents a critical moment where customer intent is translated into accurate pricing, configuration, and agreement terms.

When 麻豆原创 CPQ operates within 麻豆原创 Customer Experience, it becomes part of a connected lead-to-cash motion that spans 麻豆原创 Sales Cloud, 麻豆原创 Service Cloud, sales performance management solutions, and 麻豆原创 ERP. Sales teams engage with structured opportunity data and guided pricing logic. Service teams inherit full visibility into agreed terms. Performance leaders access insights grounded in accurate pipeline and quoting data.

When it comes to this level of intelligent, real-time, connected processes, very few companies can compete. 麻豆原创 was again recognized as a Leader in the 2025 Gartner庐 Magic Quadrant™ for Configure, Price, and Quote Application Suites. This marks the eighth consecutive year 麻豆原创 has been positioned in the Leaders quadrant based on Ability to Execute and Completeness of Vision.

麻豆原创 CPQ supports organizations in producing accurate quotes — even in environments with advanced configuration and pricing requirements — helping accelerate sales cycles and improve sales execution across complex selling environments.

Extending CPQ leadership across 麻豆原创 Customer Experience

In modern enterprises, quoting connects directly to demand generation, pipeline management, contract processes, fulfilment, and service delivery. brings together commerce, customer data, marketing, sales, service, and sales performance management into an integrated portfolio designed to support truly connected customer journeys.

Within this portfolio, 麻豆原创 CPQ plays a pivotal role in the lead-to-cash journey. When integrated with 麻豆原创 CX solutions, it helps align pricing strategy, product configuration, customer agreements, and sales performance insights across the revenue lifecycle. The result is a more reliable transition from opportunity to revenue realization.

Connected lead-to-cash experience

For CX leaders, lead-to-cash is a core driver of experience differentiation and revenue execution. A connected lead-to-cash strategy ensures that:

• Customer intent is translated into accurate configuration and pricing.
• Sales engagements reflect approved pricing and product standards.
• Customer agreements are consistently captured and supported across systems.
• Sales performance and revenue outcomes remain visible and aligned across teams.

Business impact of connected lead-to-cash

Lead-to-cash determines how consistently organizations translate customer engagement into measurable outcomes.

By combining 麻豆原创 Customer Experience capabilities with a CPQ solution recognized for its ability to execute and completeness of vision, organizations strengthen alignment across sales, pricing, service, performance management, and ERP systems, transforming engagement into measurable outcomes with confidence and precision.

In today鈥檚 environment, customer experience and operational precision are closely connected. Strength in one reinforces performance across the other.

You can learn more about how 麻豆原创 CX connects 麻豆原创 Sales Cloud, 麻豆原创 CPQ, 麻豆原创 Service Cloud, sales performance management solutions, and 麻豆原创 ERP across the lead-to-cash journey .

Sindy Conway is senior Product Marketing consultant for 麻豆原创 Customer Experience.

鈥痚nables organizations鈥攈owever complex, across however many channels, and regardless of which CRM they run鈥攖o produce quick and聽accurate聽quotes, accommodating the most advanced configuration and pricing requirements,听resulting in聽a better sales experience and faster sales cycles.

Gartner evaluated 16聽vendors and聽named 麻豆原创 a Leader based on our Ability to Execute and Completeness of Vision.聽We believe this聽recognition serves as an acknowledgment of 麻豆原创鈥檚聽ongoing聽commitment to providing customers with a CPQ solution that can meet聽and exceed聽their needs.聽

麻豆原创 CPQ is an essential聽component聽of the 麻豆原创 product portfolio that help automate the quote-to-cash process, which enables organizations to convert sales opportunities into profitable repeat customers. 麻豆原创 customers can transform to 鈥渆verything-as-a-service鈥� with innovative revenue models, quickly adapt to聽market聽changes,听support multiple sales聽channels,听and support聽regulatory聽compliance with end-to-end automation.聽聽

Our customers are the reason we do this, and they participated in the  process by providing reviews that included: 

• 鈥淚t just makes the whole sales cycle move faster.鈥�
• 鈥淚t was relatively simple to onboard when I was a new user鈥澛爌latforms and creating value for customer.鈥�
• 鈥淲e had a very positive experience with 麻豆原创, the platform is scalable, stable.鈥�
• 鈥淎n intuitive user interface that simplifies configuration, robust integration capabilities. Powerful customization options.鈥�
• 鈥溌槎乖� CPQ is amazingly stable and consistent product with the ability to connect with different platforms and creating value for customer.鈥�

Customer case studies provide descriptions of specific value. For example, , has increased聽the number of quotes created per month by 70 percent.聽

鈥淵ou聽basically give聽the salesperson one to two days of their week back by using 麻豆原创 CPQ,” noted Dominic Kasten, director of Sales Technologies for聽.聽“When you give time back to salespeople, you are encouraging them to sell solutions to customers instead of just reacting to specifications.”

Hear from other customers and learn more about how 麻豆原创 helps to automate quote-to-cash with鈥槎乖� CPQ,鈥�,鈥�, and鈥� at sap.com.

David Imbert is head of Product Marketing for Finance at 麻豆原创.聽
Lawrence Martin is chief product officer for Finance at 麻豆原创.聽

Gartner, Magic Quadrant for Configure, Price, and Quote Application聽Suites, Luke聽Tipping, Mark Lewis, January 22, 2026聽
Gartner does not endorse any company, vendor,听product聽or service depicted in its publications, and does not聽advise technology users to聽select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner鈥檚 business and technology insights organization and should not be construed as statements of fact. Gartner聽disclaims聽all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
Gartner and Magic Quadrant are聽a trademark聽of Gartner, Inc., and/or its聽affiliates. This聽graphic was published by Gartner, Inc. as part of a larger research document聽and should be evaluated in the context of the entire document. The Gartner document is available upon request from 麻豆原创.聽

In an interview, BSH Head of Governance, Methods, and Systems Heiko Schletz explained how the company is reshaping finance and why its move to the cloud is a critical ingredient to a successful AI-enhanced future.

Technology follows vision

Represented in more than 50 countries, BSH manufactures home appliances in 39 factories worldwide. Schletz鈥檚 team oversees group controlling and is responsible for ensuring that financial data flows smoothly from its core systems, such as ERP, all the way up to the consolidated group level. His team manages how financial data is structured and integrated across all global entities, ensuring it can be used effectively for company-wide reporting and decision-making.

BSH is working to bring accounting and controlling together into one integrated process, supported by real-time data and analytics. One principle is guiding this transformation: technology follows vision, not the other way round. As part of its transformation journey, BSH is embracing change by testing new technologies to support its vision.

To simplify reporting efforts, for example, , 麻豆原创鈥檚 next-generation data management platform that can unify and govern all 麻豆原创 data and seamlessly connect with third-party data.

A recent use case automatically connected accounting balances, controlling P&L data and market metrics in 麻豆原创 Datasphere and delivering consolidated reports without spreadsheets and manual effort. 鈥淭his shows where the journey is going鈥攋oining sources, bringing them together,鈥� Schletz says.

Breaking down silos to empower AI

BSH鈥檚 long-term goal in the financial area is to get rid of silos between accounting, controlling, and treasury. Schletz envisions a parallel ledger architecture that supports both鈥攍egal entity and consolidated group views鈥攅nabling advanced analytics such as value-driver trees. By moving to 麻豆原创 S/4HANA Cloud Private Edition, integrated with 麻豆原创 Datasphere and 麻豆原创 Analytics Cloud, BSH aims to create a single source of truth for finance spanning from subsidiary ledgers to group-level consolidation.

Schletz is convinced that with a cloud-based, synchronized toolset, his finance team can deliver the latest figures for decision-making faster and with less manual consolidation. 鈥溌槎乖粹�檚 AI evolution is running in the direction we also want to go,鈥� Schletz explains. 鈥淭he technology meets our vision and that鈥檚 why it鈥檚 a perfect fit.鈥�

The company has relied on 麻豆原创 solutions for decades, starting with 麻豆原创 R/3 and now running 麻豆原创 S/4HANA, 麻豆原创 Business Warehouse, and 麻豆原创 Analytics Cloud. The next milestone is cloud migration: RISE with 麻豆原创. 鈥淚n the next two years, we go into the cloud,鈥� Schletz says. 鈥淲e want a synchronized toolset that gives us a holistic view.鈥�

To get the most out of analytics and AI functionalities, BSH is currently consolidating and simplifying its comprehensive business application landscape. The company鈥檚 target is to move from six separate ERP solutions to one global 麻豆原创 S/4HANA environment that covers all subsidiaries and geographies.

How to prepare an 麻豆原创 S/4HANA transformation

Schletz鈥檚 advice for other organizations exploring the RISE with 麻豆原创 journey is to start with a clear vision. 鈥淚f you don鈥檛 begin with a concept that combines accounting and controlling, don鈥檛 start with 麻豆原创 S/4HANA,鈥� he says, noting that a finance transformation is not an isolated IT project鈥攊t requires alignment across logistics, sales, and customer service. 鈥淭he 麻豆原创 S/4HANA conversion is a cross-functional adventure,鈥� he adds.

BSH鈥檚 journey is ongoing, but the direction is set. Cloud migration via RISE with 麻豆原创, integrated data, and a finance function designed for insight rather than manual effort. 鈥淲e want the machine to do what it does best, so people can focus on creating value,鈥� Schletz concludes.

Economist Impact鈥檚 new report, “,” sponsored by 麻豆原创, reveals how CFOs are shifting from stewards of financial accuracy to architects of business resilience, digital innovation, and long-term value. Based on input of 480 CFOs globally, the report highlights widening responsibilities, rising risk pressures, and an urgent need to adopt AI with both speed and discipline.

To lead effectively through volatility, today鈥檚 CFO agenda demands operational agility, intelligent automation, and a reimagined approach to workforce development. Here鈥檚 how today鈥檚 finance leaders are adapting.

The expanding CFO mandate

Gone are the days when CFOs focused solely on financial planning and reporting. Today, their influence extends far beyond traditional finance boundaries. Nearly 90% of CFOs report they are more involved in digital transformation and risk management than three years ago. Two-thirds are actively shaping sustainability and ESG strategies.

This evolution reflects a broader truth. CFOs are now central to decisions that impact customers, products, and talent. They are expected to anticipate disruption, mitigate risk, and enable agility鈥攁ll while safeguarding profitability.

Macroeconomic, geopolitical, and technological shifts are pushing CFOs deeper into operational decision-making. As one CFO quoted in the report explained, finance leaders today must 鈥渨ear multiple hats鈥� and develop a deep understanding of business fundamentals, processes, and controls to guide transformation effectively.

With expectations rising and responsibilities converging, the next challenge is clear: aligning these expanded priorities with the capabilities required to execute them.

A sharper risk radar in an uncertain world

CFOs are on the front lines of uncertainty with increasing pressure to keep risks and costs from ballooning. In fact, more than 80% of CFOs reported that they are now more involved in risk management and compliance, with 34% significantly so.

Yet, it is not higher costs that worry CFOs most, it is unpredictability. Inflation, shifting trade rules, and increased interest rates make capital allocation more challenging, with only 37% feeling confident about meeting liquidity targets, compared with nearly 90% for revenue goals.

In response, CFOs are doubling down on what they can control. AI-enabled scenario planning is enabling faster, more sophisticated modeling, while real-time operational signals are being translated into forward-looking risk indicators. Flexibility has also become essential, from upgrading systems for adaptable production to renegotiating vendor contracts with shorter, more variable terms.

Ultimately, the mandate is clear: build organizations that can absorb shocks, respond in real time, and maintain strategic momentum despite uncertainty.

CFOs at the center of AI adoption

Digital transformation has become a core responsibility of the CFO鈥檚 role, with nearly nine in ten reporting increased involvement鈥攎uch of it centered on AI. Finance leaders cite especially strong potential in compliance, where generative AI can parse complex regulations, track rule changes, and automate updates to internal systems.

But several challenges stand in the way of scaling AI鈥檚 impact:

Talent: the biggest barrier to AI acceleration

More than 60% of CFOs cited upskilling and hiring digitally fluent talent as top challenges, with fragmented systems and limited real-time data access adding further friction. As a result, CFOs are strengthening both team skills and data quality, recognizing that AI can only scale when people know how to use it and the data behind it is trusted.

The ROI paradox

CFOs must deliver quick wins from AI even though its most meaningful gains in forecasting, innovation, and growth take longer to materialize. To resolve this tension, leading CFOs are setting clear performance benchmarks, directing AI toward revenue-driving use cases, and coordinating across the business to scale capabilities that unlock sustained value.

Designing the workforce for an AI future

While AI is reshaping work, rising concerns about workforce displacement remain a real challenge for finance teams. However, nearly seven in ten CFOs see AI as a tool to augment human capability, prompting a rethink of roles, skills, and hiring decisions. Leading CFOs are redesigning early-career roles, investing in digital and analytical skills, and building blended teams that pair human judgment with AI-driven insight to strengthen the leadership pipeline.

Taken together, these shifts signal a broader evolution: finance is moving from a function rooted in historical reporting to one defined by predictive insight, real-time decision support, and enterprise-wide capability building.

CFOs who balance rapid efficiency with long-term investment in data, skills, and new ways of working will turn AI into a sustainable competitive advantage rather than a short-lived productivity boost.

Looking ahead: the new CFO playbook

Economist Impact鈥檚 research shows that the modern CFO shapes how organizations navigate risk, adopt AI, and build the workforce capabilities required for continuous transformation.

This shift demands a new playbook that unlocks capacity through automation, strengthens cross-functional alignment, builds flexibility into systems and supply chains, and reimagines finance career paths for a digital-first future. As one interviewee noted, 鈥淭he modern CFO is not just the guardian of value but the architect of future value.鈥� That future will belong to leaders who pair disciplined cost and risk management with bold investment in data, skills, and AI-driven insight.

With 麻豆原创鈥檚 financial management solutions, finance leaders can unify data, processes, and intelligence to meet the expanding demands of the role. As the expectations placed on finance continue to grow, 麻豆原创 remains committed to empowering CFOs with the clarity and confidence needed to lead through uncertainty and shape a more resilient future.

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David Imbert is head of Product Marketing for Finance at 麻豆原创.

We believe this recognition reflects 麻豆原创鈥檚 continued commitment to innovation, customer success, and delivering extended planning and analysis solutions that empower organizations to thrive in today鈥檚 uncertain business environment.

The Gartner Magic Quadrant can help FP&A professionals assess which vendors are best suited for their purposes. The analyst firm defines financial planning software as solutions that enable FP&A transformation and cover planning, budgeting, forecasting, modeling, performance reporting, and agile insights.

麻豆原创 was recognized as a Leader by Gartner for its ability to execute and completeness of vision.

Unify business planning with 麻豆原创 Business Data Cloud

麻豆原创 continues to build on its market leadership by accelerating its vision for unified business planning. With the introduction of 麻豆原创 Business Data Cloud earlier in 2025, the company has brought together operational, financial, and strategic planning on a single, trusted data foundation. This benefits financial professionals and other strategic planners by eliminating silos and enabling real-time, AI-driven insights for intelligent planning across the enterprise.

麻豆原创 Analytics Cloud in 麻豆原创 Business Data Cloud provides a powerful tool to customers that drive enterprise planning. Customers benefit from the following capabilities:

• Intelligent planning: Machine learning and generative AI automate forecasting and predictive planning by simulating best, worst, and realistic 鈥渨hat-if鈥� scenarios — and providing smart recommendations. This aligns with 麻豆原创’s agentic AI vision, in which agents continuously monitor internal and external data, proactively identifying risks and opportunities for planners.
• Seamless planning: Deep integration with 麻豆原创 Datasphere enables live access to governed, semantically-rich data without replication. This supports live reporting, collaborative planning and analysis, and data-driven decision-making with one tool for data preparation, modeling, planning, and analytics.
• Extended planning and analysis: Customers can plan across all lines of business by combining transactions, analytics, and planning with 麻豆原创 S/4HANA, 麻豆原创 SuccessFactors software, 麻豆原创 Integrated Business Planning for Supply Chain, and third-party data.
• 麻豆原创 Business Planning and Consolidation (麻豆原创 BPC) modernization: 麻豆原创 BPC customers can modernize planning to a scalable, cloud-native environment with enhanced collaboration and AI capabilities.

麻豆原创鈥檚 unified approach is already delivering measurable value for customers worldwide. By leveraging 麻豆原创 Business Data Cloud and 麻豆原创 Analytics Cloud for planning, organizations are achieving faster, more accurate forecasts, streamlined planning, and greater alignment between finance and operations.

Customers successful with 麻豆原创 Analytics Cloud for planning include Blue Diamond Growers, BMW, Calleway Golf, Decathlon, Juniper Networks, Microsoft, Mondelez, Stihl, and many others across all industries.

Kemira Oyj, a global leader in sustainable chemical solutions, accelerated its digital transformation by deploying 麻豆原创 Analytics Cloud for planning. Kemira simplified over 50 percent of legacy master data and harmonized data structures to the cloud across 400 plants in 37 countries within 15 months. This transformation enables real-time financial planning for more than 1,000 users, and enhances forecast accuracy, supporting agile decision-making, sustainability goals, and future-ready business models.

Taras Podbereznyj, CIO of Kemira Oyj, said, “Data is at the heart of our transformation program. It will continue to steer the company as the foundation for innovation and insights, supporting new digital business models and levels of agility and helping us become more competitive in the market.鈥�

Looking ahead

As organizations navigate increasing uncertainty and volatility, 麻豆原创 remains dedicated to helping customers turn data into action. Moreover, the company vision is clear: to provide the most comprehensive, intelligent, and trusted planning platform, helping every business make confident plans across the enterprise and perform at their best in the face of uncertainty.

Dan Yu is chief marketing officer of 麻豆原创 Business Data Cloud.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

We believe this recognition reflects 麻豆原创鈥檚 completeness of vision and ability to execute in the Cloud ERP Finance market.

Why we believe 麻豆原创 Cloud ERP is recognized as a Leader

At the core of this recognition is , built on a unified, dimension-driven architecture that provides real-time planning and decision-making across global entities. With localization for 60 countries, embedded analytics to enhance compliance and controls, and advanced capabilities including treasury, subscription billing, and joint venture accounting, 麻豆原创 Cloud ERP equips organizations to operate with confidence and scale with agility.
 
This recognition comes to life in the stories of our customers.

Customer spotlight: Bain & Company

One example is Bain & Company, a global consultancy that implemented 麻豆原创 Cloud ERP to standardize and future-proof its finance foundation across 40 countries. By unifying core financial processes and adopting a 鈥渃lean core鈥� approach with minimal customizations, Bain accelerated its global close, strengthened governance with transparent KPIs, and simplified the integration of acquisitions.

As Stephen Mackey, EVP of Global Finance at Bain, explained that 麻豆原创 Cloud ERP 鈥渨as the best fit for Bain. It future-proofed our technology stack, enabled us to get the data we needed to make business decisions, and positioned us to grow.鈥�

And from a CIO perspective, Ramesh Razdan added: 鈥淲e wanted a platform that solves the problems of today and sets us up for the future. With 麻豆原创, we鈥檝e built a strong foundation, and this is just the beginning.鈥�

A key differentiator is the integration with , which enables customers to automate critical finance processes such as validating account balances, processing invoices, and reconciling payments. With prebuilt bots and no-code tools, CFOs can accelerate the financial close and improve efficiency, while laying the foundation for 麻豆原创鈥檚 next wave of AI-driven financial analysis and automation planned for 2026.

When we speak to customers about 麻豆原创 Cloud ERP, they appreciate the seamless integration with (麻豆原创 BTP), which allows them to extend, customize, and connect finance processes without disrupting their core. They highlight the leading capabilities delivered with , enabling finance teams to gain natural language interaction, contextual financial insights, and task automation that reduce manual work and support faster, smarter decision-making.

Looking ahead

We believe being named a Leader in the Gartner Magic Quadrant for Cloud ERP Finance highlights 麻豆原创鈥檚 commitment to continuous innovation. From enhanced localization and compliance support to intuitive and embedded AI, 麻豆原创 Cloud ERP is designed to help finance leaders stay ahead of regulatory, technological, and business change.

With 麻豆原创, CFOs can streamline operations, strengthen controls, and drive resilience — leading finance into the future with confidence.

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David Imbert is head of Product Marketing for Finance at 麻豆原创.
Lawrence Martin is chief product officer for Finance at 麻豆原创.

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from 麻豆原创.

This achievement underscores 麻豆原创鈥檚 dedication to empowering federal agencies with secure cloud-ready solutions that align with the government鈥檚 modernization and transparency goals.

麻豆原创 S/4HANA Cloud, the company鈥檚 next-generation 麻豆原创 Business Suite foundation, delivers comprehensive financial management capabilities specifically designed for the public sector.

With advanced automation, real-time analytics, and a secure cloud architecture, agencies can optimize financial operations, strengthen oversight, and accelerate mission outcomes. From appropriations management to budget forecasting and performance tracking, 麻豆原创 S/4HANA Cloud enables organizations to work faster, smarter, and with greater accountability鈥攁ll while maintaining full compliance with federal policies and cybersecurity standards.

Advancing the government鈥檚 modernization agenda

The FM QSMO Marketplace, operated by the U.S. Department of the Treasury, is a key pillar in the government鈥檚 strategy to modernize financial management. By curating a pre-vetted catalog of approved commercial and federal solutions, the marketplace simplifies acquisition processes and enables agencies to adopt high-quality, secure, and standards-based systems with confidence.

New marketplace listings from 麻豆原创 include 麻豆原创 S/4HANA Cloud Private Edition, 麻豆原创 Analytics Cloud, integration services for 麻豆原创 Business Technology Platform (麻豆原创 BTP), and a full suite of risk mitigation services covering activation, transition, and operational support. Together, these offerings give agencies the flexibility and agility to modernize their core systems while achieving improved performance, transparency, and accountability.

Accelerating modernization: a win for government and industry

The FM QSMO Marketplace reduces barriers to modernization by centralizing evaluation, contracting, and compliance, streamlining the path for agencies to adopt proven solutions. For government leaders, it offers access to technologies that promote consistency, interoperability, and data-driven collaboration across departments. The result is enhanced efficiency, transparency, and value for the American public.

For 麻豆原创, this selection is both a recognition of decades-long partnership and a reaffirmation of its mission to help government operate at the聽speed of mission. By making secure cloud technology and deep public sector expertise from 麻豆原创 easily accessible, agencies can modernize confidently with solutions that deliver measurable and lasting impact.

Partnering for the future of government

麻豆原创鈥檚 inclusion in the FM QSMO Marketplace reflects a shared vision with the U.S. Treasury: to advance financial excellence, accountability, and trust in government.

Together, 麻豆原创 and its federal partners are shaping the next era of an聽AI-enabled, data-driven, and citizen-focused聽public service, one where modern technology forms the backbone of smarter decisions, stronger performance, and greater outcomes for every mission.

David Robinson is president of Cloud ERP and acting managing director of U.S. Public Services at 麻豆原创.

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.

Against the backdrop of the event theme鈥�”Connect Everything, Achieve Anything: Agents, Data, and the Business Suite鈥濃�攖hey set out 麻豆原创鈥檚 vision for how 麻豆原创 Business Suite, which combines AI, data, and applications, can transform enterprises and deliver unprecedented business value to customers despite global macroeconomic uncertainties. 

Unique times

鈥淲e are living in very unique times,鈥� Alam said at the start of the keynote. 鈥淯nique in terms of the unpredictability we face from a geopolitical and macroeconomic perspective,鈥痑nd also unique in terms of the advancement in AI and the potential that carries for all of us.鈥�  

He added, 鈥淓ven the most significant challenges can be responded to, navigated, and鈥攚hen approached the right way鈥攖urned into opportunities. And that鈥檚 exactly where 麻豆原创 comes in. Because the best way to face uncertainty is with confidence that you can see what鈥檚 happening across your business and your network.鈥� 

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The CFO perspective 

His comments were echoed by CFO and Executive Board Member Dominik Asam in an onstage discussion with economist and Berkeley professor Ulrike Malmendier, during which they likened the role of the CFO in navigating today鈥檚 business uncertainties to that of co-piloting a modern jet. 

鈥淎I is the next supercycle and has what it takes to create an effective cockpit for the CFO, including recommendations about real actionable options all the way to autopilot for less critical tasks,鈥� Asam said. He also warned that standing on the sidelines of technological progress is 鈥渁 sure recipe for falling behind in competition.鈥�  

鈥淎s in prior tech supercycles, the entire competitive playing field is being completely reshuffled,鈥� he said.

New products

Building on this theme, Alam noted that while uncertainty is real and isn鈥檛 going away, it can be successfully navigated and turned into opportunities. To help customers achieve this, he announced several new and enhanced 麻豆原创 products. 

Among them, 麻豆原创 Supply Chain Orchestration is an AI-native application that uses a network knowledge graph to analyze real-time signals across a company鈥檚 multi-tier supply chain to detect risks and issues, such as extreme weather or tariffs. It then helps customers minimize disruptions by assessing the impact of these risks and suggesting alternatives to help minimize disruptions.   鈥淭hink of it like a GPS in your car which selects an alternative route to avoid traffic or tolls,鈥� Alam explained. In addition, he announced a major update to the 麻豆原创 Ariba solutions for source-to-pay suite, positioning 麻豆原创 Ariba as the most modern platform in the industry and the only truly AI-native source-to-pay solution鈥攁ll built on 麻豆原创 Business Technology Platform.

The human-AI partnership opportunity 

Turning to uncertainties over the future of work itself, 麻豆原创 Chief People Officer and Executive Board Member Gina Vargiu-Breuer, who is leading 麻豆原创鈥檚 own workforce transformation, was joined on stage by Ian Beacraft, founder and chief futurist of Signal and Cipher. 

鈥淎t 麻豆原创, we know firsthand that AI is everywhere, shattering norms and transforming the workforce,鈥� Vargiu-Breuer said. 鈥淎nd we as 麻豆原创 are boldly steering this shift, as requirements for our workforce are simply changing really fast.鈥�  

Vargiu-Breuer emphasized that a successful business AI strategy also depends on leveraging AI alongside human expertise and fostering what she described as 鈥渁 collaborative human + AI approach, rather than just automation.鈥�  鈥淏y integrating AI’s capabilities with human creativity, empathy, and judgment, we move beyond simple automation into real human-AI power couples,鈥� she said. 鈥淯ltimately, the future will favor those who embrace orchestration, delegation, and creative problem-solving.鈥�

Role-based AI assistants

Echoing this human-centric approach, Alam noted, 鈥淓veryone is talking about agents鈥攂illions of agents鈥攁nd agents taking over everything. We want to talk about people, the roles they play, and the tried-and-tested organizational constructs in place today that are running complex businesses across industries.鈥� 

Reflecting this, he said 麻豆原创 is making Joule deeply aware of the workstyle of the person it partners with, their role, and the business process context in which they operate. 鈥淭oday, we are introducing AI assistants, including a receivables assistant for your accounts receivable colleagues, a controlling assistant for your controlling colleagues, a demand Planning assistant for your demand planning colleagues, and an AI assistant for every role.鈥�   Each assistant has agents and AI tools at their disposal to help make the person it partners with smarter and more efficient, Alam explained.

Taking the receivables assistant as an example, he said it can handle collections and dispute resolution today and will soon also be able to help with fraud detection, invoice processing, and payment scheduling. 鈥淥ver time, we will continue to make this assistant even smarter by adding more agents and capabilities鈥攁ll designed to make the person in this role more effective.鈥�

Deep research and new intelligent applications

鈥淲hile efficiency and automation carry potential for great value for the organization, AI鈥檚 greatest strength is in unlocking insights and recommendations based on its ability to do deep research across vast amounts of internal and external data, which is hard for people to do,鈥� said Alam. To address this challenge, 麻豆原创 is introducing deep research in Joule, a capability that can research and analyze complex problems and deliver findings quickly and efficiently. 

Following additional announcements, including an expanded set of 麻豆原创 Business Data Cloud Intelligent Applications and an enterprise wide, multi-stakeholder engagement orchestration solution in 麻豆原创 Engagement Cloud, Alam closed out the keynote by reminding his audience: 鈥淭o create exponential value and to reach the global maxima for your enterprise, the whole matters.  And that鈥檚 what we are focused on: providing you with best-in-class applications, seamlessly and natively integrated across the breadth of finance, spend, supply chain, HCM, and customer experience.鈥� 

麻豆原创 Business Suite delivers unprecedented value

The unmatched value of 麻豆原创 Business Suite is that it brings together the power of best-in-class applications with a semantically rich harmonized data layer to power high-value AI in a singular seamless experience. It helps you manage uncertainty, evolve your workforce, and break down silos to create amazing customer value.

However, the pace of change has made traditional approaches, like best-of-breed point solutions, no longer sufficient to help finance teams keep up.

That is why the future of finance technology should act as an orchestra, not disjointed soloists.

Finance teams require a unified experience where applications, data, and AI work seamlessly together. With 麻豆原创 Business Suite, these elements come together as one orchestra, enabling finance to operate in harmony and deliver outcomes that point solutions alone cannot achieve. This means not only faster close and stronger liquidity, but also tighter compliance and credible plans that hold up under change.

To strengthen collaboration across finance and bring innovation to the CFO鈥檚 office, 麻豆原创 unveiled Joule鈥檚 next stage as the AI force at the center of 麻豆原创 Business Suite鈥檚 value creation. A new generation of role-aware assistants in Joule are designed to partner with people in their specific business roles by tapping into the right agents behind the scenes for the job. For finance professionals, 麻豆原创 introduced the next round of automation support using agentic AI.

麻豆原创 is embedding AI-powered reasoning directly into finance processes to automate routine work and elevate the strategic role of finance with the following new agents:

• The Accruals Agent will calculate accruals and deferrals based on system data and present the accountant with a proposal for review, along with a detailed explanation of the calculation logic.
• The Cash Management Agent will automate daily bank statement reconciliation tasks and recommend opportunities for optimization.
• The International Trade Classification Agent will reason over product characteristics and trade regulations and act to classify goods for international shipping, recommending customs tariff numbers and commodity codes

By bringing automation to critical but repetitive finance processes, these agents underscore 麻豆原创鈥檚 commitment to equipping the office of the CFO with AI-driven innovation that strengthens resilience in an increasingly complex business environment.

Finance as the conductor of the enterprise

The role of the CFO has expanded far beyond closing the books or reporting quarterly earnings. Today, finance teams are expected to bring together data, processes, and people from the entire business to enable seamless collaboration.

With 麻豆原创鈥檚 AI-first, suite-first approach, applications and data flow seamlessly, allowing finance leaders to coordinate business operations with confidence. This unified foundation ensures that insights are not siloed, but instead shared across the enterprise, enabling faster and smarter decisions.

Take working capital management, one of the biggest pressure points for finance leaders: A recent of 480 CFOs found confidence levels were strong in almost all areas, including revenue, profit, and customer retention, but only 36 percent felt confident in their ability to achieve working capital targets. 麻豆原创 Business Suite can help organizations meet their targets by automating manual work and enabling actionable decisions — all by leveraging dynamic, autonomous, and action-oriented solutions in 麻豆原创 Business Suite.

When an organization manages incoming receivables, outgoing payables, as well as cash and inventory within 麻豆原创, that connected experience creates data that provides real-time visibility into liquidity through 麻豆原创 Business Data Cloud.聽 That data fuels 麻豆原创 Business AI to analyze situations, recommend actions, and even resolve issues like disputed invoices automatically, which would otherwise slow the cash collection process. And with the integration of Joule and intelligent agents, 麻豆原创 Business AI not only automates, it senses, reasons, orchestrates, and acts 鈥� turning insights into outcomes that free capacity and accelerate the business.

As AI agents take on more of the behind-the-scenes work, finance professionals can step fully into their role as the conductor of the enterprise. They can guide strategy with foresight, aligning every function in harmony and shaping outcomes that extend far beyond revenue or cost goals.

CFOs and their teams can then move beyond reactive decision-making toward shaping strategy in real time. This will position their office as a driver of growth, resilience, and innovation.

Looking ahead

麻豆原创 is laying the foundation for a new era of autonomous finance, where routine processes are automated, insights are delivered in real time, and finance teams are empowered to focus on strategy and growth.

These innovations mark just the beginning of 麻豆原创鈥檚 commitment to helping businesses navigate an increasingly complex financial landscape with agility, intelligence, and confidence.

Lawrence Martin is chief product officer and head of Public Cloud Engineering at 麻豆原创.
David Imbert is head of Finance Product Marketing at 麻豆原创.

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.聽

“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.

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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�.

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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.
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The solution was clear: implement a cloud-based ERP architecture designed to adapt, scale, and drive a full-scale transformation.

Building strategy on speed and people

E.ON Digital Technology鈥檚 move to the cloud was never about chasing modernity for its own sake, but about seizing control in a fast-moving world. The company understood that transformation is not only about technology; it’s about people and their needs.

Together with employees, E.ON Digital Technology crafted a strategic vision to keep pace with rapid technological change while empowering teams to deliver real solutions. At the core of this transformation was the Digital Lighthouse Project, which became the guiding force through the complexities of digitization.

As Athanasios Tabakis, the lead of the Digital Lighthouse technology at E.ON Digital Technology, explained, 鈥淲e鈥檙e not just implementing isolated solutions; we鈥檙e building a platform that integrates speed, planning, reporting, cost transparency, and AI into one seamless ecosystem.鈥�

This cloud ERP foundation shattered old habits, igniting true transformation by putting agility and speed at the heart of the business.

Today, E.ON Digital Technology boasts an intuitive, adaptive, finance-first design, built around how people actually work. The company鈥檚 guiding principle remains unchanged: transformation doesn鈥檛 start with systems; it starts with trust and clarity.

Max Englisch, manager of Finance Transformation at , emphasized the human and scalable nature of the project: 鈥淭his has never just been about technology. It was about creating a vision that scales, brings people in, and drives real impact — not only for E.ON Digital Technology, but also across the entire company.鈥�

PwC Germany continues to support E.ON Digital Technology in rolling out this vision, ensuring the Digital Lighthouse remains a catalyst for change.

Beyond technology: culture, process, mindset

Standardizing across a complex group like E.ON Digital Technology involves far more than technical upgrades. It requires navigating cultural, operational, and political layers. The S/4 United Program, the backbone of Digital Lighthouse, launched the company鈥檚 journey toward 麻豆原创 S/4HANA Cloud Private Edition as the 鈥渕other ship鈥� guiding the entire enterprise.

Innovation layers were carefully added on top to balance strategic consistency with the flexibility to differentiate. Early work focused on identifying where processes could deliver efficiency and value, laying a solid foundation for future-proof operations. As Tabakis put it, 鈥淭he future of ERP is invisible. It anticipates your needs, speaks your language, and acts when it truly matters. It is not just digital; it is almost human.鈥�

E.ON Digital Technology鈥檚 transformation challenges the entrenched mindset of 鈥渢his is always how we鈥檝e always done it.鈥� In a heavily regulated and complex energy sector, data consistency is critical for both compliance and for confident decision-making. By building a semantic layer aligned with business logic, the company moves from fragmented inputs to coherent, faster decisions with increased accountability.

鈥淪uccess comes from those who relentlessly pursue their vision until it becomes a reality,” Englisch added. “That鈥檚 exactly what E.ON Digital Technology has achieved.鈥�

E.ON Digital Technology embraces AI and flexibility for the future

E.ON Digital Technology鈥檚 innovation journey did not stop at cloud ERP. Early adoption of transformed data into conversational insights. Now, the company is advancing toward agentic AI, where AI proactively supports decision-making by alerting teams to deviations and nudging interventions before the issues arise. In energy finance, where timing is everything, this responsiveness is a game changer.

Trust in AI remains paramount. Tabakis noted that 鈥渢rue confidence in AI comes when it aligns with how people think and work. Our mission is to build that trust step-by-step, helping people see AI not as a threat, but as a powerful ally to accelerate their work.鈥� This human-centered approach is essential in a world where half embrace AI鈥檚 promise and half fear its impact.

The energy transition itself demands agility. Renewables introduce volatility, and new consumption patterns like heat pumps and electric mobility add complexity. The grid must balance supply and demand in real time, pushing E.ON Digital Technology鈥檚 business units — and adding their IT teams — to stay flexible.

To manage this, E.ON Digital Technology relies on , a real-time financial management engine that mirrors actual usage, supports dynamic modeling, and scales with demand within the ERP. This technology allows the company to trace billions in value flows accurately and auditable, ensuring flexibility and compliance go hand in hand.

Englisch summarized the future vision: 鈥淭he future of ERP lies in creating an open, connected data foundation that integrates 麻豆原创 and non-麻豆原创 sources, enabling scalable data products and AI-ready architectures. It鈥檚 about moving beyond process efficiency to real-time insights that empower business users to unlock true value.鈥�

E.ON Digital Technology鈥檚 transformation journey shows how cloud ERP, combined with human centered approach and cutting-edge AI, can drive speed, trust, and agility in the complex, rapidly evolving energy landscape. It is a blueprint for how companies can not only adapt but also lead in the digital age.

The 麻豆原创 Taulia portfolio offers solutions for working capital management and supply chain financing, as well as a network for buyers, suppliers, and financial institutions.

Mehlkopf is global chief revenue officer for Treasury and Working Capital Management at 麻豆原创, and is responsible for marketing and rolling out the solutions for these domains to customers.

Q: Three years ago, we announced that the Taulia products would be integrated into the 麻豆原创 portfolio. What鈥檚 the status?

A: After acquiring Taulia, we pushed ahead with three main priorities to align with 麻豆原创 Business Suite. The first was the integration of the portfolio into 麻豆原创 Business Network so that, where suppliers and buyers both run 麻豆原创 Taulia solutions, they can utilize the network to benefit from early payment options and supply chain finance.

We also worked on integrating the solutions into and released the 麻豆原创 Taulia solutions for receivables financing and payables financing on 麻豆原创 Cloud ERP in February 2025. These are particularly relevant for small and midsize enterprises that want to grow and that need quicker payments to do so. The current focus is on the U.S., Canada, UK, DACH, and Singapore markets, with the goal of making this functionality available in additional countries soon.

Our third priority was to embed 麻豆原创 Taulia Virtual Cards into 麻豆原创 Ariba solutions. The cards enable buyers to pay their suppliers sooner — even before they issue an invoice — using a 鈥減ay on purchase order鈥� transaction. This ensures that the supplier in question has sufficient cash flow to fulfill the order.

Back in 2022, Taulia was described as a growth opportunity for 麻豆原创 and for customers. Could you tell us how 麻豆原创 Taulia is performing?

麻豆原创 Taulia already has several customers that finance billions through the platform, thereby improving both their own liquidity and that of their suppliers. My team鈥檚 objective is to increase that number and to continue scaling up, and we鈥檙e making good progress. Over the last three years, the volume of transactions processed with 麻豆原创 Taulia has risen steadily from US$500 billion to US$800 billion.

Customers are benefiting from this progress: one large enterprise in the oil and gas industry saved almost 鈧�700,000 within a single month of going live. Extrapolated to a full year, that鈥檚 annual savings of almost 鈧�8 million. So, the business case for customers is definitely there.

You presented the first AI use case in 麻豆原创 Taulia at 麻豆原创 Sapphire in 2025. Can you tell us about its value for customers?

The AI use case relates to our 鈥渋nsight to action鈥� approach and helps companies plan and improve their cash flow. 麻豆原创 Taulia has already been using artificial intelligence for some time to forecast supplier behavior around early payments. By combining this insight with data from an app on 麻豆原创 Business Technology Platform that provides transparency on free cash flow, the AI use case will give customers tips on how to improve their liquidity. It also runs through various scenarios showing them ways to influence it. Information like this is especially important for CFOs — never more so than in times of uncertainty.

Are there any other recent announcements you would like to share?

Yes, another important update is that 麻豆原创 Taulia is now part of 麻豆原创鈥檚 cloud ERP packages for the public cloud, 麻豆原创 Finance Base and 麻豆原创 Finance Premium, as well as the private cloud, 麻豆原创 Cloud ERP Private. This means that we can quickly show customers the positive business case for their transformation of using 麻豆原创 Taulia to improve their cash flow and achieve savings.

In times of global crisis, trade tariffs, and supply chain disruption, why are the 麻豆原创 Taulia solutions so vital for cash flow?

Cash is still king, especially in a crisis. An article published recently in German business newspaper Handelsblatt reported that net debt among the 40 companies on Germany鈥檚 DAX stock market index has increased eight percent to 鈧�227 billion since the pandemic. Clearly, financing is a major issue, particularly given that interest rates have risen so sharply. Many companies borrowed when interest rates were low and are now having to refinance their loans at higher interest rates, which puts enormous pressure on their finance teams. 麻豆原创 Taulia solutions can help by providing the funding that businesses need.

Given the impact that trade tariffs have on the supply chain, it is vital that companies carry out liquidity planning and scenario analysis. They need to think about where they will manufacture their products in the future, what effect that choice will have on revenues, and how they can use 麻豆原创 Taulia to improve their cash flow.

Which reference customers are already benefiting from this?

麻豆原创 Taulia customers include Henkel, Airbus, Nissan, AstraZeneca, Kimberly-Clark, and Bridgestone.

One customer has enabled early payments to suppliers totaling over 鈧�5 billion since the start of the program, which has led to an improvement in cash flow of more than 鈧�1 billion during this period.

Your pledge is 鈥渢o create the future of finance together.鈥� What does that involve?

We want to team up with our partners and customers to influence the transformation of corporate finance. That includes working with banks and implementation partners and integrating 麻豆原创 Taulia into a swathe of 麻豆原创 solutions. Together, we offer customers a comprehensive portfolio of treasury and working capital solutions, ranging from payments and cash management to financial risk management.

One key aspect of our road map is our treasury and payment portfolio, which covers topics such as the future of payments. We are also working to integrate new technologies, including blockchain and digital currencies, so that we can offer our customers innovative payment and financing solutions.

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

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

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

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

Here are some of the highlights from Q2 2025:

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

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

Joule

麻豆原创 Joule for Consultants
Generally available

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

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

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

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

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Joule in Microsoft 365 Copilot and Microsoft Teams
Generally available

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

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

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Analytical insights feature
Generally available

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

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麻豆原创 Business AI for supply chain

Joule with 麻豆原创 Digital Manufacturing
Generally available

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

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

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

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

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

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

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

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

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Field Service Dispatcher Agent
Beta release

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

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

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

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Maintenance Planner Agent
Beta release

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

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

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

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麻豆原创 Business AI for finance and spend

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

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

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

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

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

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

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

For detailed information on the latest enhancements, .

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

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

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

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

For additional information on these enhancements,

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Accounts Receivable Agent
Beta release

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

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

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Meeting Location Planner Agent
Beta release

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

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

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

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Expense Report Validation Agent
麻豆原创 Early Adopter Care release

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

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

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麻豆原创 Business AI for human resources

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Joule with 麻豆原创 SuccessFactors Mobile
Generally available

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

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

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

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

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

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

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Performance and Goals Agent
Beta release

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

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

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

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

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麻豆原创 Business AI for customer experience

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

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

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

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

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

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

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

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

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

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麻豆原创 CX AI Toolkit
Shopping Agent
Generally available

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

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

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

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麻豆原创 CX AI Toolkit
Custom AI agents
Generally available

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

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

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

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

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

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

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

Register for and .

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

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

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

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

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麻豆原创 Business AI for procurement

Joule with 麻豆原创 Fieldglass solutions
Generally available

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

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

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

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

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

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

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

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

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Sourcing Agent
Beta release

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

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

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麻豆原创 Business AI for IT and developers

Joule Studio in 麻豆原创 Build
Skill builder
Generally available

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

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

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

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Generative AI hub prompt optimizer
Preview

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

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

Generative AI hub product enhancements
Generally available

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

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

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

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

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麻豆原创 Document AI product enhancements
Generally available

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

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

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

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

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

麻豆原创 HANA Cloud product enhancements
Generally available

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

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

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

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

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

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

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

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

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

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Joule with 麻豆原创 Business Accelerator Hub
Generally available

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

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

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

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

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

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麻豆原创 Business AI for industries

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

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

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

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

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

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

This is true for each function within an enterprise. Teams within HR, Sales, Marketing, Finance, and Spend are positioned to drive impact in every aspect of business — from revenue growth to cost management to overall business agility and resilience.

The innovations shared at 麻豆原创 Sapphire in 2025 reflect our commitment to bringing out your best, providing a clear path to guide organizations toward certainty in a time where that is rare. These innovations will empower organizations to navigate the complexities of the current landscape and emerge stronger, more adaptable, and better equipped to face the future. 

Here are a few innovations that we announced that support Finance and Spend teams in delivering increased value.

Introducing embedded virtual cards in 麻豆原创 Ariba

Many organizations work to be nimble as it relates to finding the right supplier at the right time, which can mean introducing one-time vendors into the supplier landscape. While this helps with business agility, it often comes with a cost: time-intensive supplier onboarding processes that involve manual effort that is better used elsewhere. Traditional payment methods, like checks and physical credit cards, not only require more work, they can introduce fraud risk and security vulnerabilities.

That is why 麻豆原创 is embedding virtual card payments into 麻豆原创 Ariba Buying and . We are supporting the flexibility and agility needed to help businesses run at their best. At no additional cost, our customers can now use virtual credit cards for pay on purchase order transactions. With virtual cards, customers can:

• Prevent overcharges and fraud
• Enjoy payment flexibility
• Better manage spend security
• Reduce manual effort of supplier setup processes
• Enhance vendor payment efficiency
• Maintain control of payments made outside of procure-to-pay ERP processes

Using virtual cards requires minimal change management efforts, giving buyers the ability to adjust card parameters based on enterprise-wide objectives without disruption.

麻豆原创 integrates WalkMe Premium with 麻豆原创 Ariba and 麻豆原创 Concur

In a time when digitalization is imperative, minimizing obstacles and reducing change management efforts is key to a smooth business transformation. Time and time again, I hear leaders report that one of the biggest challenges of implementing new software is employee change management.

Introducing WalkMe Premium for 麻豆原创 Ariba solutions, a platform that provides real-time, in-app guidance for users to reduce the time and effort associated with adopting new technology in the workplace, empowering employees to maximize business value with 麻豆原创 Ariba. Customers can also take advantage of , which offers users valuable, easy-to-follow training content, all within the 麻豆原创 Concur user interface.

The WalkMe solution is a digital learning platform that helps users apply process knowledge in real time to navigate complex software tasks. With WalkMe Premium integrated directly into 麻豆原创 solutions, employees can access in-app prompts for standard tasks, like creating purchase orders or managing approvals, with pre-configured industry templates that eliminate the need to learn overly technical processes.

The in-app workflow guidance can be adjusted as needed to keep processes up-to-date, allowing for little to no change management effort to ramp employees up faster than ever — all while preserving process compliance. At 麻豆原创, we know that clear, concise user guidance is key to accelerating technology adoption. I expect that the integration of the WalkMe solution into 麻豆原创 solutions will be a gamechanger for organizations experiencing technology updates and changes.

New Joule Agents enhance finance and spend functionality

New agentic AI capabilities are coming to finance and spend solutions with Joule agents that will be integrated across 麻豆原创 Business Suite. These new agents include:

• Expense Report Validation Agent: Uses alerts and guided experiences to help employees fix issues based on past data, company policy, and patterns before submitting reports
• Sourcing Agent: Uses past event data and supplier information to autonomously create sourcing events tailored to specific needs and users can easily modify these events to efficiently manage supply chain disruptions.
• Dispute Resolution Agent: Analyzes dispute details and relevant business records to validate cases and propose solutions
• Accounts Receivables Agent: Uses data related to overdue receivables to perform appropriate follow-up tasks with customers

Additionally, 麻豆原创 Ariba Procurement customers will soon be able use Joule to enhance daily tasks such as retrieving supplier bids, displaying past purchases and approvers, and providing easy access to supplier information. Joule innovations will also be available soon in 麻豆原创 Fieldglass solutions, enabling users to accelerate existing workflows and processes.

麻豆原创 Taulia Receivables directly integrated into 麻豆原创 finance solutions

Embedded finance capabilities have been expanded with the integration of Receivables Finance, powered by , in 麻豆原创 finance solutions. Finance teams now have a fast, scalable way to unlock capital from outstanding receivables in a time when businesses are battling inflationary pressures, tariffs, and supply chain volatility. This capability can be activated immediately in .

Once activated, 麻豆原创 Taulia Receivables enables users to:

• Dynamically manage working capital
• Accelerate receivables through true sale
• Use Joule-powered insights to make informed liquidity decisions

New 麻豆原创 Ariba Procurement and expense management offerings in 麻豆原创 Business Suite

In keeping with our promise to deliver a connected, suite-first experience for our customers, 麻豆原创 Business Suite includes extended 麻豆原创 Ariba and 麻豆原创 Concur functionality.

The newly announced 麻豆原创 Business Suite application packages align with the strategic business needs of our customers with line of business-specific bundles, delivering an improved buying experience. With strategic sourcing package, our procurement customers can manage the source-to-contract process from start to finish. Within the 麻豆原创 Finance Premium package, customers have access to operational procurement capabilities, including requisitioning, invoice management, and B2B collaboration, along with expense management capabilities from 麻豆原创 Concur.

Achieving success in a new era of procurement

Amid the unpredictable nature of today鈥檚 finance and spend landscape, agility is the secret to long-lasting success. 麻豆原创鈥檚 advanced AI capabilities, powered by harmonized data and paired with an integrated suite of applications, ensure productivity, accuracy, and an optimized employee experience.

With 麻豆原创, you can handle anything that comes your way.

If you did not get a chance to attend 麻豆原创 Sapphire, access .

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

聽enables organizations — however complex, across however many channels, and regardless of which CRM they run — to produce quick and accurate quotes, accommodating the most advanced configuration and pricing requirements, resulting in a better sales experience and faster sales cycles.

Gartner evaluated 15 vendors and named 麻豆原创 a Leader based on our 鈥渁bility to execute鈥� and 鈥渃ompleteness of vision.鈥� This recognition serves as an acknowledgment of 麻豆原创鈥檚 ongoing commitment to providing our customers with a CPQ solution that can meet and exceed their needs.

麻豆原创 CPQ is an essential component of 麻豆原创鈥檚 portfolio of products that help automate the quote-to-cash process, which enables organizations to convert sales opportunities into profitable repeat customers. 麻豆原创鈥檚 customers can transform to 鈥渆verything-as-a-service鈥� with innovative revenue models, can quickly adapt to market changes, support multiple sales channels and ensure regulatory compliance with end-to-end automation.

Our customers are the reason we do this, and they participated in the process by providing reviews that included:

• 鈥淎 Must buy along with 麻豆原创 Eco System鈥�
• 鈥溌槎乖� CPQ is an amazingly stable and consistent product with the ability to connect with different platforms and creating value for customer.鈥�
• 鈥溌槎乖� CPQ is user-friendly and simplifies the configuration process. 麻豆原创 CPQ can scale to meet the need for business.鈥�
• 鈥淎n excellent integrated configuration solution, easy to setup and use鈥�
• 鈥淓verything is well laid and easy to navigate. Easy to teach people who have never use the system.鈥�
• 鈥淩eally love using this platform, really simple to use and a good configurable system with enhanced features!鈥�

Customer case studies provide descriptions of specific value.

In under 15 minutes, the sales team at  is creating sales quotes for its complex boiler systems. The company has been using 麻豆原创 CPQ since 2005 to help automate and scale its legacy quoting process, empowering more than 700 salespeople creating many thousands of quotes per year.

鈥淵ou basically give the salesperson one to two days of their week back by using 麻豆原创 CPQ,鈥� Dominic Kasten, director of Sales Technologies at Cleaver-Brooks, shared. 鈥淲hen you give time back to salespeople, you are encouraging them to sell solutions to customers instead of just reacting to specifications.鈥�

, has created a quote system with a 360-degree view of customers to slash response times, improve quote accuracy, and enhance customer experiences. It has also created a new revenue stream by combining products and services in a single quote while increasing the number of quotes created per month by 70 percent.

鈥溌槎乖� CPQ underpins an intuitive system that helps sales teams produce speedy, accurate quotes, letting them concentrate on what matters most to customers,鈥� said Sheila Thibodeua, CRM Solutions and Digital Sales manager at EXFO.

To learn more about how 麻豆原创 helps to automate quote-to-cash, visit the聽,听,听, and聽 areas of sap.com.

Jonathan Rhodes is head of Product Marketing for SaaS ERP at 麻豆原创.

GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Part of 麻豆原创 Sustainability solutions, 麻豆原创 Green Ledger allocates carbon emissions to specific economic activities and transactions captured by ERP solutions from 麻豆原创. This innovation empowers organizations to accurately account for, analyze and report carbon footprints across products, services, and organizational units.

Addressing the growing consensus that decarbonization is required to combat climate change, 麻豆原创 Green Ledger helps companies:

• Track and account for carbon footprints in relation to their financial impact
• Lower emissions alongside financial optimization and thus facilitate carbon budgeting
• Establish carbon planning for carbon neutrality and net zero targets
• Benchmark departments, business units and profit centers from both a financial and environmental perspective
• Prepare for sustainability audits
• Improve supplier-based processes to decrease carbon emissions in the supply chain (2025)

麻豆原创 Green Ledger builds on existing financial and ERP solutions from 麻豆原创 that are established in thousands of companies worldwide. By extending these solutions to integrate emissions data, businesses can make more informed, sustainable decisions that link environmental impact with financial performance, enhancing compliance, efficiency and transparency.

鈥淓normous investments are required to abate CO₂ in order to curb global warming. Besides smart, reliable regulation also accurate data on emissions along the supply chain is paramount to trigger the necessary investment,鈥� said Dominik Asam, CFO and member of the Executive Board of 麻豆原创 SE. 鈥淥nly by moving from averages to actuals 鈥� audited at reasonable assurance 鈥� can freeriding and greenwashing be avoided, thereby protecting such valuable investment and our planet. 麻豆原创 Green Ledger delivers precisely that.鈥�

Today, 麻豆原创 Green Ledger provides a first step for businesses to address regulatory requirements by integrating financial and environmental data. It helps companies navigate the complex global landscape of sustainability regulations, such as EU CSRD*, while establishing a scalable foundation over time, to adapt to evolving regulations such as EU ETS** and EU CBAM鈥�, as well as to international standards such as ISSB鈥犫��. The launch of the solution marks the beginning of a new era in carbon accounting systems, which are expected to significantly impact businesses worldwide as decarbonization becomes a legal and market imperative.

麻豆原创 Green Ledger was developed with support from companies such as Accenture, Deloitte, EY, PwC and TCS (Tata Consulting Services) as well as with pilot customers such as Covestro. Covestro is currently evaluating 麻豆原创 Green Ledger in an early pilot phase and testing the linking of carbon dioxide values to 麻豆原创 Green Ledger, as they are generated during the manufacture of specific products in the supply chain.

Accenture is helping organizations achieve their net-zero and sustainability targets in a rapidly evolving regulatory landscape.  鈥淎s organizations seek to gain visibility into both the financial and environmental performance of their businesses, 麻豆原创 Green Ledger can provide the sustainability metrics and insights needed to enhance decision-making that reduces emissions, drives efficiencies and optimizes performance,鈥� said Stephanie Jamison, global resources industry practice chair and global sustainability services lead at Accenture. 鈥淎s a strategic co-innovation partner, Accenture helped shape the development of 麻豆原创 Green Ledger and can apply our understanding of the technology and its capabilities to help our clients get the most for their organization.鈥�

Through its Strategic Advisory Group for Green Ledger, 麻豆原创 was able to gain insights from Deloitte鈥檚 breadth and depth of knowledge in sustainability measurement and reporting. 鈥溌槎乖� Green Ledger offers new levels of precision in carbon accounting for organizations as they track, manage and report their greenhouse gas emissions, and provides leaders with a holistic view of the costs and benefits of sustainability initiatives, enabling them to make data-driven decisions that can build business resilience,鈥� said Jennifer Steinmann, Deloitte Global Sustainability Business leader.

Deloitte is working with companies as they adopt sustainability disclosure standards and get ready for assurance. 鈥淭echnology solutions can help generate traceable, bottom-up emissions data,鈥� said Veronica Poole, Deloitte Global IFRS and Corporate Reporting leader. 鈥淟everaging the robust governance and controls of enterprise systems is needed to help organizations achieve the rigor that enhances corporate accountability and enables a move to reasonable assurance.鈥�

Norman Emmenlauer, partner for CFO-Led Sustainability at EY Business Consulting, said about 麻豆原创 Green Ledger: 鈥淭his is a solution that integrates carbon accounting into the core financial processes, making sustainability a tangible part of business operations.鈥�

Carina Schoellmann, partner for ESG Data & Tech at EY Technology Consulting, added: “This solution will help our EY clients by seamlessly integrating carbon accounting into their financial systems, enabling more informed and sustainable decision-making.”

Amy Brachio, EY global vice chair for Sustainability, pointed to the strategic nature of the topic: 鈥淪ustainability is at the heart of everything organizations do; business operations such as procurement, manufacturing and logistics are great examples. 麻豆原创 Green Ledger will enable granular and auditable data capture across the value chain, supporting organizations to transform ESG from compliance exercise to value-creation strategy.鈥�

Sameer Shah, partner at EY Technology Consulting, added: “麻豆原创 Green Ledger is a game changer for sustainability practitioners, providing the tools needed to measure, manage and report on carbon emissions with the same rigor as financial data.”

“Having participated in the pilot program, we’re excited to see the launch of 麻豆原创 Green Ledger, an essential digital approach for integrating carbon accounting and management into strategic business operations,” explained Will Jackson-Moore, global sustainability leader, PwC UK. “With 麻豆原创 Green Ledger, businesses can seamlessly align financial performance with sustainability goals, while achieving the transparency and precision needed for real-time emissions reporting and resource management. Building on this foundation, PwC is developing CSRD-ready content to enable end-to-end reporting and steering, helping organisations meet regulatory requirements, prioritise sustainability at the C-level, and drive meaningful change in environmental accountability. We’re proud to support our clients in leveraging 麻豆原创 Green Ledger to navigate complex sustainability challenges, achieve measurable decarbonisation and progress toward net-zero commitments at speed.”

麻豆原创 partner TCS has also cooperated on 麻豆原创 Green Ledger, with a focus on accelerating action to achieve carbon neutrality. TCS Enterprise Solutions Global Head Vikram Karakoti said, 鈥淲ith our participation in the pilot program for 麻豆原创 Green Ledger, TCS is embracing innovative sustainability solutions to build a better future. This will enable organizations to move beyond regulatory compliance and make sustainability a growth engine. By embedding carbon data into the enterprise planning process, organizations can unlock previously unexplored areas for growth, transformation and environmental renewal.鈥�

Visit the . Follow 麻豆原创 at .

*The (Corporate Sustainability Reporting Directive) defines the rules concerning the social and environmental information that companies have to report. It entered into force on 5 January 2023.
**The (EU Emissions Trading System) is a 鈥渃ap and trade鈥� system to reduce emissions via a carbon market. Since 2005, it requires polluters to pay for their greenhouse gas (GHG) emissions, covering emissions from the electricity and heat generation, industrial manufacturing and aviation sectors 鈥� which account for roughly 40% of total GHG emissions in the EU.
鈥烛丑别 (Carbon Border Adjustment Mechanism) is the EU’s tool to put a fair price on the carbon emitted during the production of carbon-intensive goods that are entering the EU, and to encourage cleaner industrial production in non-EU countries. CBAM will apply in its definitive regime from 2026.
鈥犫�烛丑别 (International Sustainability Standards Board) is developing 鈥� in the public interest 鈥� standards that will result in a high-quality, comprehensive global baseline of sustainability disclosures focused on the needs of investors and the financial markets.

For more information, financial community only:
Alexandra Steiger, +49 6227-7-60437, investor@sap.com, CEST

For more information, press only:
Joellen Perry, +1 (650) 445-6780, joellen.perry@sap.com, PT
Daniel Reinhardt, +49 6227-7-40201, daniel.reinhardt@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 2023 Annual Report on Form 20-F.
漏 2024 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 (or its affiliates) in Germany and other countries. Please see for additional trademark information and notices.

麻豆原创 Analytics Cloud is the trusted choice for the most mission-critical organizations worldwide, redefining financial planning for enterprises globally by offering clients:

•  95% reduction in time to generate on-demand access to financial metrics
• 10x faster planning cycles via automating up to 70% of data entry points with artificial intelligence (AI)
• Increased simulation and insight generation for better plan accuracy and improved business execution with reduced risk

Unlocking the Power of Extended Planning and Analysis

麻豆原创 has long championed the integration of planning, forecasting, and analysis across the enterprise, known as extended planning and analysis. By harmonizing diverse planning functions like supply chain, sales, and finance, 麻豆原创 enables its customers to align departments and increase enterprise agility and performance. 麻豆原创 customers call this 鈥渁ligning operational planning with financial performance.鈥�

麻豆原创 believes that our recognition as a Leader in the Gartner Magic Quadrant for Financial Planning Software highlights our strategic vision and operational excellence. 麻豆原创 Analytics Cloud empowers enterprises with unified financial operations and data-driven decisions, driving agility and insight.

To learn more about 麻豆原创鈥檚 position as a Leader and see in-depth analysis of the financial planning software landscape from Gartner, read the .

For more information, visit the .

Daniel Yu is senior vice president of Solution Management and Product Marketing for 麻豆原创 Data and Analytics at 麻豆原创.

Gartner does not endorse any vendor, product or service depicted in our research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved

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

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

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

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

AI innovations delivered in Q3 2024 include:

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

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

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

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

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

麻豆原创 Business AI in ERP & Finance

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

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

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

Get started .

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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麻豆原创 Business AI in IT & Platform

麻豆原创 Integration Suite: Generation of integrations
General availability

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

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

Get started .

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

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

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

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

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

Get started .

麻豆原创 HANA Cloud: Generate 麻豆原创 HANA SQL statements with the SQL console for 麻豆原创 HANA
General availability

麻豆原创 HANA database application developers can use the new conversational SQL console in 麻豆原创 Business Application Studio to generate 麻豆原创 HANA SQL statements. The statements are based on the requirements specified in a special natural language prompt, which can be run directly in the SQL console. The resulting statement includes the correct 麻豆原创 HANA syntax.

Note: To use the 鈥楻un Prompt鈥� option, you must have a subscription to 麻豆原创 Build Code, the AI-powered cloud development environment based on 麻豆原创 Business Application Studio.

The new console helps increase developer productivity by up to 20%*, reducing the SQL learning curve and enabling efficient data retrieval with natural language.

For more details, look at the .

Document Information Extraction service: Product enhancements
General availability

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

This upgrade includes three significant enhancements designed to streamline your document processing:

Instant learning: The premium edition of Document Information Extraction now features an instant learning capability. This allows for immediate improvements in accuracy as the service learns dynamically from user feedback. Just a few corrections from the user enable the system to adapt and enhance its performance, making document processing more precise than ever.

Enhanced document classification: With the new field type “list of value,” users can specify their own classification classes or categories; for example, to distinguish a supplier invoice from a payment advice. By providing a list of classification values when setting up a schema, they can tailor the service to automatically determine the type of incoming document according to their business processes. This results in more organized document handling, enabling faster and more accurate document processing.

Expanded availability on Microsoft Azure: To meet the growing global demand, the availability of the service has been extended to additional Microsoft Azure regions: Netherlands (Amsterdam) and U.S. East (Virginia). The service now incorporates:

• Extended schema description, to get the most out of generative AI for document processing
• New file types and improved performance, to get support for key Microsoft Office formats, including MS Excel and MS Word
• Schema import and export to easily share schemas across different projects or environments, enhancing consistency and saving valuable setup time

Get started with these .

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

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

Developers can save up to 60%* of their time spent onboarding and running AI models securely and realize higher value for new generative AI use cases through better grounding for increased relevance of the outcomes, resulting in faster user adoption. 

In the last quarter, we introduced two key enhancements:

• A new modular and intuitive orchestration builder helps create sophisticated, AI-driven applications by customizing pre-trained AI models for specific business use purposes through a guided process in the generative AI hub
• A simplified integration and customization process lets developers deliver innovations faster and more precisely, enabling more relevant and effective AI-driven solutions for better business outcomes

This feature also comes with a data masking and anonymization function for personal and sensitive data in prompts and LLM responses to enhance data privacy and compliance with data protection regulations.

A new helps integrate advanced AI capabilities into web applications. This user-friendly toolkit makes it easier to embed intelligent features such as chatbots and content generators, speeding up development and giving users more context-aware and relevant AI-generated content.

Finally, additional models from providers such as Google Cloud Platform, Meta, and OpenAI have been added to generative AI hub, and new data centers on Google Cloud Platform and Microsoft Azure are available in Europe and in the United States.

Get started with and .

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

麻豆原创 CX AI Toolkit: Product enhancements
General availability

provides a comprehensive, configurable AI solution for e-commerce, marketing, sales, and service teams. It helps streamline content creation tasks and analyze data from across the enterprise. Many new AI-enabled tools are now integrated into the solution.

AI-supported image generation enables e-commerce teams to generate new product images or edit existing ones in the 麻豆原创 Commerce Cloud catalog. It reduces the time spent on image customization by up to 50%* and increases the number of product-specific campaigns by up to 30%*. With this feature, e-commerce teams can also boost engagement with eye-catching, on-brand visuals tailored to commerce catalogs and effortlessly remove backgrounds or place products on solid-color backdrops.

Intelligent Q&A support for service tickets and cases generates answers to business questions by finding and compiling the content of cases in 麻豆原创 Service Cloud and tickets from 麻豆原创 Cloud for Customers as sources for answers, saving time searching through thousands of records. Services teams can also integrate custom data sources and improve the answers provided by their unique company data.

Check out the for a complete overview of the innovations and get started with the .

麻豆原创 Business AI in Industries

麻豆原创 Intelligent Agriculture: Farming intelligence 鈥� create and process farming recommendations
General availability

麻豆原创 Intelligent Agriculture now enables agribusinesses to create and process recommendations on when, where, and how to conduct farming activities, hence sustainably increasing farming efficiency and helping them thrive. These recommendations can either be created through an API for data science models or created in the solution UI directly.

Read the and get started with the documentation聽.

麻豆原创 Business AI in Procurement

麻豆原创 Business Network: Intelligent invoice error classification
麻豆原创 Early Adopter Care

The invoice error classification feature helps suppliers process rejected invoices for payment in and reprocess invoices accurately to address initial invoice submission errors after categorizing them into appropriate rejection categories. Suppliers can expect to reduce invoice re-processing time by up to 40%* and reduce days sales outstanding impacted by rejected invoices by up to 10%*.

Get started .

麻豆原创 Concur: Chart of accounts mapping for product connectors
General availability

In Concur Expense, users can now access an AI-generated chart of accounts mapping for product connectors, such as QuickBooks or Xero, and decrease the setup time and effort of expense-type administration activities, including, for example, expense type creation and account code mapping.

Get started .

麻豆原创 Business AI in Supply Chain

麻豆原创 Product Lifecycle Management: Joule
General availability

麻豆原创 Integrated Business Planning for supply chain & 麻豆原创 Asset Performance Management: Joule
麻豆原创 Early Adopter Care

The conversational search feature within Joule is now supported in 麻豆原创 digital supply chain solutions, providing smooth and contextual access to 麻豆原创 Help Portal content and summarizing it in a clear answer to the question. Users can perform informal searches up to 95%* because they do not need to browse through a long search result list or read through several documents to find the correct information.

Watch this short demo of Joule in 麻豆原创 Integrated Business Planning for supply chain:

Click the button below to load the content from YouTube.

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Get started with .

麻豆原创 Field Service Management: AI-assisted activity summary
General availability

Dispatchers and field service workers can now generate summaries of activities, such as used spare parts, the duration of the activity, and the results of performed checklists, and improve the review and planning of service requests by up to 15%*. Activity summaries enhance dispatchers’ decision-making by providing contextual information based on similar past events. They also increase the first-visit resolution rate by helping dispatchers quickly identify the right technician for the job, and field service workers understand the job at hand better and find the right solutions faster.

Get started .

麻豆原创 Asset Performance Management: Visual inspection
Beta release

Already available to 麻豆原创 Digital Manufacturing Cloud customers since Q2 2024, the AI-enabled visual inspection feature supports asset owners, plant managers, and reliability engineers in monitoring asset conditions to identify critical asset health conditions, such as wear or failure modes, before unplanned downtimes with severe consequences can occur.

The feature collects images from cameras monitoring assets and AI-derived indicator values, displays them appropriately in the context of the asset history and other sensor data, and defines condition monitoring rules to create automated alerts and maintenance notifications based on images analyzed with AI. This enables various asset-intensive industries — such as oil and gas, mining, or railway and transportation — to reduce manual visual inspections by humans and transition from reactive or proactive maintenance toward prescriptive maintenance strategies.

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麻豆原创 Business AI in Sustainability

麻豆原创 Sustainability Control Tower: AI-assisted ESG report generation
General availability

ESG leads can now automate and embed the sustainability strategy into program execution, reducing the time needed to collect relevant ESG metrics manually from 30 minutes* to 30 seconds* and time to write reports by up to 80%*. Sustainability experts can build on 麻豆原创-delivered report templates that follow common ESG reporting standards or customize their own, generate automated draft reports for periodic internal or external reporting based on ESG data available in , and benefit from an enhanced accuracy of reported ESG data and quality of documentation.

Get started .

Philipp Herzig is chief AI officer of 麻豆原创.

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

Based in Germany, helps companies transform, grow, and become successful with 麻豆原创 solutions. The organization, part of and a global strategic partner of 麻豆原创, recently received the , and additional 麻豆原创 partner awards for customer success management and intelligent enterprise value realization.

Integral to its success is a workplace culture built around advancing the skills and capabilities of its 15,000 employees. Enabling its people strategy to create value for its clients was a motivating factor in its decision to move to the cloud by implementing and .

鈥淚t鈥檚 all about having the right people with the right skills and the right availability,鈥� says Marianne Mia Jensen, senior director and head of Operations Region North and Eastern Europe for NTT DATA Business Solutions. 鈥淚n our company, our employees are our most valuable asset. We need to make sure that they have the right skills and the right competencies to create the most value for our clients.鈥�

Modernizing for the Future of Skills and Innovation

Founded in 1989 as S&P Consult, NTT DATA Business Solutions became one of the first 麻豆原创 partners and went on to expand rapidly through both organic growth and acquisition. Over time, the organization accumulated a great deal of legacy technology, which created information silos and impeded business processes for staffing client projects.

Lacking visibility into its global HR processes and data, it needed to modernize its digital technology to deliver more centralization and harmonized processes, as well as sustain a lean administration to support the business. Also, as an exemplar for its clients, it wanted to have a robust, flexible platform for future innovation and technologies.

For its cloud journey, NTT DATA Business Solutions chose 麻豆原创 as its technology partner. In October 2019, shortly before the pandemic, the organization launched 麻豆原创 SuccessFactors Employee Central for its global workforce. When the pandemic began in 2020, NTT DATA Business Solutions was well positioned to manage its workforce through the crisis. Jensen recalls, 鈥淭hat implementation, plus a couple of other apps, gave us a good foundation [during the pandemic] because we were very digitalized.鈥�

To modernize its ERP, NTT DATA Business Solutions chose 麻豆原创 S/4HANA Cloud Public Edition, launching the solution in the Nordic countries in April 2023.

Jensen summarizes how the technology supports the business strategy, referring to 麻豆原创 S/4HANA Cloud Public Edition, , , and solutions as she says, 鈥淭hat is our foundation for finding the right person for the right job.鈥� She notes, 鈥淲e also look at the trends in the market. What are the needs of tomorrow? And map the skills gaps, while also looking at what the preferences of our consultants are when it comes to professional and personal development and growth. 麻豆原创 SuccessFactors is key for us.鈥�

Finding the Right Person for the Job 鈥� with Data

Now when a project staffing request comes through, NTT DATA Business Solutions has a data-driven process in place to find the right person with the right skills and availability to staff client projects. It starts with an analysis of the data in NTT DATA鈥檚 own resource management app, built on 麻豆原创 BTP, to check the consultants鈥� availability and an analysis of the skills database in 麻豆原创 SuccessFactors solutions. The project is set up in 麻豆原创 S/4HANA Cloud Public Edition.

Once the actual work begins, the consultants record their time in the 麻豆原创 BTP time registration app and expenses in the 麻豆原创 Concur solution. Financial processes are performed in 麻豆原创 S/4HANA Cloud Public Edition, where the data synchronization is facilitated by 麻豆原创鈥檚 common data model. As a final step, reporting is performed in 麻豆原创 Business Warehouse and .

Power of a Common Data Model

Together, these two 麻豆原创 solutions 鈥� 麻豆原创 SuccessFactors Employee Central and 麻豆原创 S/4HANA Cloud Public Edition 鈥� can be a powerful basis for improved efficiency and business agility because they leverage a common data model. As a result, organizations can benefit from streamlined HR processes; end-to-end integration with seamless connectivity between HR and finance functions for accurate and up-to-date employee data across the organization; greater transparency of data for analytics and reporting on workforce trends, costs, and profitability to enable better strategic planning and resource allocation; and compliance with regulatory requirements and data security.

The seamless synchronization of data by using a common data model for 麻豆原创 business applications helps reduce the need for manual data entry and redundant processes. This means, for example, employee data that is maintained in 麻豆原创 SuccessFactors Employee Central is available in real time in 麻豆原创 S/4HANA Cloud Public Edition while master data, like cost center data, flows seamlessly from 麻豆原创 S/4HANA Cloud Public Edition to 麻豆原创 SuccessFactors Employee Central. Eliminating data silos enables the HR and finance teams to work with consistent, accurate data for important employment decisions and legal reporting obligations.

Visibility Advances People Strategy and Client Projects

With 麻豆原创 SuccessFactors Employee Central and 麻豆原创 S/4HANA Cloud Public Edition, NTT DATA Business Solutions benefits from having a single source of truth. 鈥淲e have all our consultants and contractors [visible to us] from 麻豆原创 SuccessFactors all the way to the billing. That provides us with a very detailed view of all the things that are going on in the system,鈥� Jensen says.

It now has global HR processes in place and visibility across different skills and capabilities within the organization, independent of where people work 鈥� whether finance, supply chain, or sales. Additionally, a new financial model for activity-based revenue recognition provides detailed financial insight into projects and client engagements.

Each updated release of 麻豆原创 SuccessFactors solutions, delivered biannually in the cloud, introduces the latest innovations for the organization. Reflecting on NTT DATA鈥檚 journey to the cloud, Jensen says the key to integrating innovation is to focus on processes rather than technology.

鈥淭here are a lot of technology and systems that need to be set up, but it is important to focus on the processes that you are implementing, to have a focus on the data 鈥� make sure you understand how it works 鈥� in the new process with the new system. And finally, change management is critical.鈥�

She adds, 鈥淵ou need to understand how to work with the new technology, not just today, but also tomorrow.鈥�

We believe this recognition underscores our commitment to providing an agile cloud solution for recurring revenue management that meets the needs of fast-growing companies with 麻豆原创 S/4HANA Cloud and . Gartner evaluated 17 vendors and named 麻豆原创 a Leader.

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The Growing Importance of Billing Software 

Recent publications emphasize a growing consensus among analysts that advanced billing software is becoming increasingly essential for fast-growing companies across various industries. To navigate the complexities of invoicing and revenue collection with recurring revenue business models, companies require a reliable and sophisticated solution that can handle high transaction volumes with both flexibility and accuracy.

Accelerate Growth with Modular Cloud ERP for Recurring Revenues 

Leveraging a modular cloud approach, 麻豆原创 seamlessly integrates 麻豆原创 S/4HANA Cloud, 麻豆原创 Subscription Billing, and, in the case of usage-based pricing, 麻豆原创 Convergent Mediation by DigitalRoute. This powerful combination enables organizations to efficiently manage subscriptions, usage plans, and bundles, driving growth and operational excellence in today’s dynamic business environment.  

麻豆原创 S/4HANA Cloud, together with 麻豆原创 Subscription Billing, has quickly become a cornerstone for fast-growing companies seeking a SaaS approach to manage their recurring revenue business. Whether B2B or B2C scenarios, our solution supports a diverse array of industries, including professional services, high tech, industrial manufacturing, automotive, life sciences, and healthcare.  

Customer Success Stories 

Discover how SaaS CRM company LeadSquared simplifies complex subscriptions and enhances customer transparency with automated order-to-cash processes in this .

Explore how biotech leader F. Hoffmann-La Roche is revolutionizing the industry by automating order-to-cash processes for its digital offerings in this .

For additional insights from 麻豆原创 customers and to learn more about our quote-to-cash solutions, visit the comprehensive . 

Martin Barkman is senior vice president and global head of Product Marketing for Finance, Supply Chain, and Cloud ERP AI at 麻豆原创.

Gartner, Magic Quadrant for Recurring Billing Applications, Mark Lewis, Robert Anderson, 6 August 2024 

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved. 

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.  This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from 麻豆原创.

The strategic alliance between Datricks and 麻豆原创 Signavio leverages the strengths of both to deliver unparalleled value to customers, revolutionizing proactive risk management to help accelerate business process transformation. Together, Datricks and 麻豆原创 Signavio aim to provide a seamless and integrated solution for financial business risk mining and process management that supports both internal controls and business transformation. This collaboration underscores a shared commitment to innovation and excellence, driving forward the capabilities of risk management in the financial sector.

Datricks鈥� cutting-edge, AI-driven technology, combined with 麻豆原创 Signavio鈥檚 leading expertise in business process transformation, helps deliver a comprehensive solution that can streamline operations and empower organizations to proactively identify and mitigate risks before they escalate into major disruptions. The solution can tackle the gap between business processes and compliance and can reduce long and expensive auditing cycles, allowing our customers to maximize efficiency and reduce costs. Risks and controls are identified by Datricks and then integrated into 麻豆原创 Signavio solutions to access control and process effectiveness, fostering proactive risk management.

Our end-to-end solution enables customers to:

• Uncover hidden risks: Datricks’ AI-powered risk mining solution continuously analyzes 100% of customers’ financial data, exposing unseen anomalies and potential threats to financial integrity.
• Prevent financial and reputational damage: Mitigate risks proactively before they escalate, safeguarding your company’s financial health and reputation.
• Streamline audits and controls: Eliminate error-prone manual work and enhance existing controls with automated and reliable processes.
• Gain real-time insights: Receive immediate answers to audit-related questions, identify the root cause of risks, and make informed decisions with confidence.

Datricks for Risk Mining helps automate risk detection and mitigation, ushering in the era of autonomous finance. It seamlessly integrates with 麻豆原创 Signavio solutions, offering a holistic view of risk and process management. Together, we provide an end-to-end solution for financial business risk mining and process management, supporting both internal controls and process transformations.

Mani Pirouz is chief business officer for 麻豆原创 Business Transformation Management.

For the CFO and their teams, there is a wealth of opportunity here, but also not inconsiderable risk. The best CFOs are masters of balancing risk with opportunity; those who can do it well right now have an immense opportunity to write a new playbook for AI leadership. That鈥檚 because effective AI strategies involve more than just tools. They require a strong sense of where the business value lies and a keen sense for ensuring every technology investment has a clear return for the business 鈥� all things savvy CFOs have in abundance.

Two areas that stand out are payments and cash flow management. Recent research from Gartner compared organizations it saw as leading the way with successful AI strategies and implementations with their competitors. The study revealed that 46% of organizations with the most successful AI implementations leverage AI in customer payment forecasting, illustrating the vast potential for AI in this space.

But it鈥檚 not just about forecasting accuracy. It has been estimated that as much as $44 trillion is locked in global supply chains at any time. Accessing these funds, or at least ensuring they are working as efficiently as they can for you, can go a long way in helping you invest, expand, or diversify. McKinsey ranks enhanced working capital management as one of the top three areas for AI investment, alongside predictive cash flow forecasting and growth prioritization/M&A targets.

The real game-changer is the natural language-based tools and the capabilities to generate thorough financial scenarios. For example, you could ask, 鈥淲hat are my options to ensure the Board has the $750 million needed to make that acquisition or R&D investment in the year’s second half? What are the three best scenarios to ensure we achieve a free cash flow of $500 million in Q4 of this year?鈥�

Assuming you have the data, the combination of predictive and generative AI will give you the analysis you need and the narrative to provide a clear pathway to your business goal.

Another opportunity is around fraud detection. Electronic payments are standard in many countries and supply chains are increasingly complex, which means the threat of fraud is increasing. AI can detect unusual patterns from typical transaction profiles, minimizing the rejection of legitimate transactions and maximizing the accuracy of fraudulent payments.

Automation is also an area that is ripe for significant leveling up. The future of payments powered by AI strives for complete autonomy, from predicting future incoming payments based on behavioral patterns to independently initiating dispute management in the event of non-payment to automated incoming payment reconciliations.

When we talk about AI’s transformative abilities, the most significant benefit is its ability to support continuous optimization. Whether it鈥檚 benchmarking against industry peers, risk modeling, or analyzing supplier behavior to optimize payment, the ability of AI tools to absorb and analyze vast amounts of data and generate scenarios in a multitude of forms gives you the power to act faster, with greater cost efficiency and insight.

Of course, it鈥檚 not just the technology that delivers the difference; it鈥檚 the combination of technology, financing partners, and processes. AI tools are most effective in the hands of a team that understands how to use them and has the processes in place to enable them to be used effectively. They also require access to vast amounts of data, internal and external.

For many businesses, the most effective and least risky investment is in platforms and technology tools that already have AI capabilities built in and in the people who know how to leverage them.

There is no doubt that the potential for everyone is significant. The early evidence suggests that those who have taken the plunge and are investing strategically are already reaping the benefits.

It points to a future full of incredible opportunities ahead and we are really excited about it!

Scott Russell is chief revenue officer and a member of the Executive Board of 麻豆原创 SE.
Cedric Bru is CEO of Taulia.

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