WALLDORF 鈥斕�, rated A1 (stable) by Moody鈥檚 and A+ (stable) by S&P Global, successfully completed a Eurobond transaction with a total volume of 鈧�3.5 billion across four tranches with tenors of two, three, five and seven years. The net proceeds from this transaction are used for general corporate purposes, including (re)financing of recently announced acquisitions.

This announcement does not contain or constitute an offer of, or the solicitation of an offer to buy or subscribe for, securities to any person in Australia, Canada, Japan, Singapore or the United States of America (the 鈥淯nited States鈥�) or in any jurisdiction to whom or in which such offer or solicitation is unlawful. The securities referred to herein may not be offered or sold in the United States or to, or for the account or benefit of, U.S. persons, absent registration under the U.S. Securities Act of 1933, as amended (the 鈥淪ecurities Act鈥�) except pursuant to an exemption from, or in a transaction not subject to, the registration requirements of the Securities Act. Subject to certain exceptions, the securities referred to herein may not be offered or sold in Australia, Canada, Japan or Singapore or to, or for the account or benefit of, any national, resident or citizen of Australia, Canada, Japan or Singapore. The offer and sale of the securities referred to herein has not been and will not be registered under the Securities Act or under the applicable securities laws of Australia, Canada, Japan or Singapore. There will be no public offer of the securities in the United States.

This announcement is a general information and not a prospectus for the purposes of Regulation (EU) 2017/1129. Investors should not purchase or subscribe for any securities referred to in this announcement except on the basis of information in the prospectus relating to such securities, which, when published, will be available on the website of the Luxembourg Stock Exchange ().

This announcement is directed at and/or for distribution in the United Kingdom only to (i) persons who have professional experience in matters relating to investments falling within article 19(5) of the Financial Services and Markets Act 2000 (Financial Promotion) Order 2005 (the 鈥淥rder鈥�) or (ii) high net worth entities falling within article 49(2) of the Order or (iii) persons to whom it would otherwise be lawful to distribute it (all such persons are referred to herein as 鈥渞elevant persons鈥�). This announcement is directed only at relevant persons. Any person who is not a relevant person should not act or rely on this announcement or any of its contents. Any investment or investment activity to which this announcement relates is available only to relevant persons and will be engaged in only with relevant persons.

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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.鈥� Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F. 
漏 2026 麻豆原创 SE. All rights reserved.  
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.  

That idea framed a , where Thomas Saueressig, chief customer officer and member of the Executive Board of 麻豆原创 SE, and Jan Gilg, global president of Customer Success & Americas and member of the Extended Board of 麻豆原创 SE, set out the company鈥檚 case for the Autonomous Enterprise.

Their message was clear: As AI moves from promise to practice, customers are no longer asking whether it matters; they are asking how to make it deliver measurable results across the business.

鈥淓very day, billions of people wake up trusting that the world simply runs,鈥� Saueressig said.

But making that happen is anything but simple. Saueressig pointed to the hidden complexity behind everyday routines 鈥� from power grids balancing supply and demand in real time to global supply chains moving goods across countries and continents. Enterprise operations, he argued, are the invisible backbone of modern life, even if most people never see them.

Gilg picked up that thread by focusing on the pressure customers now face as they try to translate AI ambition into business value. Excitement is high, he said, but so is urgency.

Customers want to scale AI across the enterprise and connect it to core processes where it can have tangible impact. But according to Gilg, the real obstacle is not the AI itself. It is the enterprise landscape around it.

鈥淭he elephant in the room: AI in the enterprise is complex,鈥� he said, pointing to the disconnected applications and fragmented data many organizations still contend with.

That challenge led directly to 麻豆原创鈥檚 vision for the 鈥� one in which AI is embedded into business processes, connected through trusted data, and governed in a way that makes it reliable at scale.

The Autonomous Enterprise vision

鈥淚t鈥檚 this need for trusted, seamless integration that led us to our vision for the Autonomous Enterprise,鈥� Gilg said.

He presented it not as a future concept, but as a practical operating model in which AI drives end-to-end execution within a trusted governance framework, with people remaining in control.

Saueressig cast 麻豆原创鈥檚 role as helping customers get there: 鈥淥ur goal is to help you become an Autonomous Enterprise step-by-step. … We are making AI value real today.鈥�

He linked that approach to RISE with 麻豆原创, 麻豆原创鈥檚 AI offerings, and the 麻豆原创 Services and Support Portfolio with its Ssuccess plans, which are designed to help customers put innovation to productive use. The emphasis, he said, is on creating value throughout the transformation journey

鈥淲hen you are fully committed to RISE with 麻豆原创, we are committed to support you at every step,鈥� Saueressig said. That commitment spans even the most complex and hybrid landscapes, he said, stressing that no customer will be left behind.

Lockheed Martin: Readiness over transformation in a high-stakes environment

That customer-first approach set up the next part of the keynote, where customers took the stage to share firsthand how they are transforming their businesses in the real world 鈥�  no theory, no abstraction, just practical experience.

Opening the customer round, Lockheed Martin positioned transformation not as an end goal, but to ensure constant readiness in one of the world鈥檚 most demanding environments.

鈥淭ransformation is not the goal. Readiness is for us,鈥� said Maria Demaree, SVP and CIO of Lockheed Martin Corporation, stressing that the stakes are 鈥渉uman鈥� when systems support national defense and allied missions. Readiness, she explained, means the ability to move 鈥渨ith speed, clarity, and confidence across the enterprise.鈥�

Through its largest transformation investment in the company鈥檚 history, Lockheed Martin is redesigning processes end-to-end, connecting fragmented systems, and embedding AI into a model-based enterprise built on 麻豆原创.

Operating in a highly regulated environment with strict security and data requirements, the company is focused on reducing cycle times and improving responsiveness. Demaree emphasized that 鈥渢ransformation doesn鈥檛 start with technology. You must rethink your processes.鈥� 麻豆原创鈥檚 role, she said, has evolved from vendor to trusted partner understanding Lockheed Martin鈥檚 business and the environment it works in.

Aeropuertos Argentina: From reactive winter operations to proactive AI-driven control

Aeropuertos Argentina made history by becoming the first Latin American customer to take the 麻豆原创 Sapphire keynote stage. The company used the spotlight to share a hands-on example rooted in operational urgency and showed how a clean core and focused innovation can quickly deliver results.

Managing 90% of Argentina鈥檚 commercial flights, they need to keep airport operations running during severe winter weather. This has historically relied on manual, fragmented processes 鈥� driving up costs, safety risks, and environmental impacts. To address this, the company developed an AI agent called Smart Network for Operative Winter (SNOW) to orchestrate weather data, runway sensors, maintenance processes, and operational procedures.

鈥淲e passed from a reactive to a proactive model,鈥� said Gustavo Sabato, Chief Information Officer of Aeropuertos Argentina, highlighting expected benefits, including a 16% cost reduction and lower CO鈧� emissions. Time to value was fast: from idea to operation in 12 weeks, with rollout starting at two airports and expanding to six more this upcoming winter.

A key enabler was upgrading from 麻豆原创 R/3 to 麻豆原创 S/4HANA in 2023 and building the solution on 麻豆原创 Business Technology Platform.  While integrating multiple non-standardized data sources was challenging, the result is now that the company operates with 鈥渙nly one version of the truth,鈥� said Sabato, and requires minimal manual intervention. The company plans to scale the approach beyond Argentina and into processes at other airports they manage elsewhere, reinforcing that strong technical fundamentals are essential to turn AI into real operational outcomes.

Exxon Mobil: Clean core and solid data foundation

ExxonMobil is rethinking how its operations will remain agile and nimble amid the rapid changes driven by the global shift toward new energy sources.

Bill Keillor, Vice President of ExxonMobil Global Services Company, said the energy giant launched a business-led transformation to simplify processes and unlock data that had become fragmented after decades of customization. 鈥淥ur goal is not short-term optimization but long-term agility: standardizing on industry best practices, establishing a clean core, and becoming upgrade stable,鈥� he said.

He emphasized that both the transformation and the company鈥檚 AI ambitions depend on a strong foundation. 鈥淚f you can鈥檛 get this foundation right, you will continue to pay the price for it,鈥� he said.

Keillor closed with three pieces of advice for any transformation: be crystal clear on strategy and align leadership behind it; put strong governance in place to enable fast, consistent decisions; and choose partners who challenge you and are in for the long run.

Levi Strauss: AI at scale

As Levi Strauss accelerated its shift toward a direct-to-consumer business, it recognized that greater speed and scale would require a lean technology landscape. Jason Gowans, Chief Digital and Technology Officer, said the company started by consolidating nine ERP systems into a single global foundation with RISE with 麻豆原创, standardizing processes and establishing a clean core.

That unified backbone now supports Levi鈥檚 ambitious AI strategy, with already more than 1,000 AI agents in production across the business. The impact is already visible; one example is wholesale order processing. While 80% of orders already flow through automatically, the remaining 20% 鈥� often submitted by smaller customers through handwritten notes, emails, or unstructured documents 鈥� previously took two to five days to process manually.

鈥淣ow, with the agents that we鈥檝e built on top of 麻豆原创, that process takes 20 to 30 minutes,鈥� Gowans said. For Levi Strauss, the lesson is clear: standardization does not limit agility; it makes it possible.

Migration powered by AI

These customer examples illustrated that transformation usually follows a shared path: modernizing the core, moving to the cloud, and unlocking innovation along the way. 

麻豆原创 then showed how AI-powered agents can help customers accelerate that journey through a more integrated, AI-driven approach to transformation at scale. Migration and modernization assistants, , are designed to analyze systems, data, custom code, configuration, testing, and rollout as part of one connected process. By replacing fragmented manual work with coordinated automation, activities that once took weeks 鈥� from landscape analysis to custom-code assessment 鈥� can now be completed in a single weekend.

The world doesn鈥檛 break because of change

Gilg then widened the lens, arguing that every major technology wave brings uncertainty. But every one of these waves has in fact made the world better off by creating more jobs, new business models, and new revenue streams that people couldn鈥檛 imagine before. In the same way, he argued, enterprise software will become even more essential because of AI.

That is because the core needs of business remain the same: systems that work, people who care, and teams that collaborate. In Gilg鈥檚 framing, AI will not replace enterprise software. It will live inside it, embedded in the processes that keep companies running.

Saueressig brought the keynote back to its opening image: a world people trust to function. In a time of rapid change and unprecedented disruption, he asserted, resilience matters more than ever.

鈥淭he world doesn鈥檛 break because of change,鈥� he said. 鈥淚t breaks when change moves faster than resilience. And that鈥檚 where 麻豆原创 comes in.鈥� Underscoring the importance of people in times of change, he emphasized that beyond technology and AI, transformation remains deeply human, shaped by the people who build and use it. 鈥淭he future isn鈥檛 written by AI.  It is written by us,鈥� he said.

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 acquisition helps customers make their 麻豆原创 and non-麻豆原创 enterprise data AI-ready and will provide customers with the tools they need to unify, cleanse and harmonize data across sources for superior enterprise-wide agentic AI.

Visit the . Get 麻豆原创 news via  and .

Media Contacts:
Aim茅e Leabon, +1 (646) 799-3277, aimee.leabon@sap.com, EST 
Daniel Reinhardt, +49 151 168 10 157,鈥�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.鈥� Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F. 
漏 2026 麻豆原创 SE. All rights reserved.  
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.  

Acquisition doubles down on 麻豆原创鈥檚 early mover advantage in tabular foundation models

WALLDORF and FREIBURG听鈥斕�(NYSE: 麻豆原创) and Prior Labs, the pioneer of Tabular Foundation Models (TFMs), announced that they have entered into a definitive agreement for 麻豆原创 to purchase Prior Labs, accelerating 麻豆原创鈥檚 success in TFMs that started with 麻豆原创-RPT-1, and bringing one of the world鈥檚 leading TFM research teams into the 麻豆原创 family.

Prior Labs will continue to operate as an independent entity, with 麻豆原创 committing to invest more than 鈧�1 billion over the next four years to scale it into a globally leading frontier AI lab for the structured data that runs the world鈥檚 businesses. Terms of the deal were not disclosed. The transaction is still pending regulatory approval.

Large language models (LLMs) struggle to make accurate predictions on structured business data because they have only a rudimentary understanding of tables, numbers and statistics. Unlike LLMs, TFMs are purpose-built for this type of data and can accurately predict business outcomes based on tabular data such as payment delays, supplier risks, upsell opportunities, customer churn risk and more.

鈥淓arly on, 麻豆原创 recognized that the greatest untapped opportunity in enterprise AI wasn鈥檛 large language models; it was AI built for the structured data that runs the world鈥檚 businesses,鈥� 麻豆原创 CTO Philipp Herzig said. 鈥淲e built 麻豆原创-RPT-1 to prove that conviction for enterprise data. Prior Labs has built a leading TFM on public benchmarks and built one of the leading research teams in this category. Combining their frontier model work with enterprise data and customer reach is how we intend to lead this category globally.”

“Over the last 18 months, Prior Labs has built an incredible team, increasing the velocity in tabular foundation models,” Prior Labs CEO Frank Hutter said. “Joining the 麻豆原创 family gives us the resources, data environment and customer reach to take this category to its full potential.”

Once the transaction is closed, with Prior Labs, 麻豆原创 will have the special opportunity to establish an industry-leading AI research lab and shape a new category in TFMs. The lab will operate as an independent unit to ensure research velocity, while 麻豆原创 provides long-term investment and a direct path to productization across the 麻豆原创 portfolio with 麻豆原创 AI Core and 麻豆原创 Business Data Cloud as well as the agentic layer with Joule.

With over 3 million downloads, Prior Labs鈥� TabPFN is a widely adopted open-source tool for tabular AI, supporting a dynamic developer ecosystem. 麻豆原创 is fully committed to further support this open-source strategy. The Prior Labs cofounders Frank Hutter, Noah Hollmann and Sauraj Gambhir lead a team of world-class AI researchers and practitioners. The company works with leading scientists in the field, including听Yann听LeCun,听ACM A.M. Turing Award winner and executive chairman at Advanced Machine Intelligence,听补苍诲听Bernhard Schoelkopf, director of Max Planck Institute for Intelligent Systems and ELLIS president, both of whom will serve on Prior Labs鈥� scientific advisory board as it scales to a globally leading frontier AI lab.

Accelerating Innovation

Prior Labs鈥� TabPFN-2.6 is the top-performing model on TabArena, the top benchmark for TFMs. TabPFN-2.6 matches the accuracy of a four-hour automated machine learning pipeline 鈥� instantly, in a single model, at a fraction of the complexity.

With a conversational interface layered on top, business users can ask questions in natural language, generate or select datasets and run 鈥渨hat-if鈥� scenarios without needing to be data science and machine learning experts. With Prior Labs鈥� models, 麻豆原创 will provide in-context learning, allowing users to provide data records to receive instant, reliable predictions without any model training. A single TFM can adapt to any business use case on the fly, resulting in faster time to value with GDPR compliance.

With Prior Labs, 麻豆原创 will deliver TFMs with superior predictive capability that understand tables natively, learning statistical reasoning directly from data and will power agentic AI systems capable of understanding high-level goals, combining tables, language and images to reason, integrate domain knowledge, infer causality and adapt dynamically.

After the close, 麻豆原创 and Prior Labs plan to turn top AI research into enterprise-ready innovation, allowing customers to get even more value out of their tabular business data.听True intelligence requires moving beyond correlation to understand听causation. Answering “What will happen?” is听useful, but听answering why听it听will happen is transformative.

The transaction is expected to close in Q2 or Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

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About Prior Labs

Prior Labs is the pioneer of Tabular Foundation Models, a new category of AI purpose-built for structured data. Founded by Frank Hutter, Noah Hollmann & Sauraj Gambhir, Prior Labs鈥� TabPFN model series, published in Nature, set the state-of-the-art on tabular benchmarks across hundreds of independent academic studies. Prior Labs is scaling tabular foundation models to handle millions of rows, real-time inference, and entirely new data modalities, while building the infrastructure to deploy them in production across some of the most demanding industries on earth.

Headquartered in Freiburg, Germany, and offices in Berlin and New York City, Prior Labs has built one of the leading AI research teams globally, with researchers recruited from Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN.

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�.

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

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United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

For more information, press only:
Daniel Reinhardt, 麻豆原创, +49 151 168 10157, 听daniel.reinhardt@sap.com, CET
Alex Vaught, 麻豆原创, +1 (206) 678-5712, 听alex.vaught@sap.com, PST
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麻豆原创 麻豆原创 Room;听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.
漏 2026 麻豆原创 SE. All rights reserved.
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Terms of the deal were not disclosed. The transaction is still pending regulatory approval.

Most enterprise AI projects fail to deliver value not because of the AI itself, but because the underlying data is fragmented, locked in proprietary formats and stripped of the business context that makes it meaningful. The result is a familiar and costly pattern: pilots that cannot scale, slow integration of new data sources, duplicated engineering work and compliance risk when organizations cannot explain how an AI-driven decision was reached. Dremio helps eliminate that data fragmentation and integration friction. The acquisition will complement the 麻豆原创 Business Data Cloud and 麻豆原创 HANA Cloud offerings to ensure seamless data integration across 麻豆原创 and non-麻豆原创 data with high performance and low cost to accelerate AI-ready context and time-to-value for AI.

“Enterprise AI doesn鈥檛 stall because the models aren鈥檛 good enough; it stalls because the data isn鈥檛 ready for AI agents,” said Philipp Herzig, CTO, 麻豆原创 SE. ” Dremio eliminates that bottleneck. Combined with 麻豆原创 Business Data Cloud, we can now take customers from raw, fragmented data to governed, AI-ready intelligence on a single open platform.”

With Dremio, 麻豆原创 Business Data Cloud will become an Apache Iceberg-native enterprise lakehouse that unifies 麻豆原创 and non-麻豆原创 data to power agentic AI at enterprise scale. Apache Iceberg is the industry-standard open table format, and 麻豆原创 Business Data Cloud will natively support it as its foundation. This means no data movement or format conversion will be necessary. 麻豆原创 and non-麻豆原创 data can coexist on the same open foundation, with federated analytical reach across every enterprise data source, combined with 麻豆原创 HANA Cloud鈥檚 in-memory engine for real-time transactions and operational performance.

The Dremio lakehouse platform is set to vastly improve the economics of enterprise analytics. It is serverless and elastic, scaling up automatically when demand spikes and scaling back down when it subsides, meaning no fixed capacity to provision and no performance ceiling when it matters most.

With Dremio, 麻豆原创 will deliver a universal, open catalog built on Apache Polaris and the open Apache Iceberg REST Catalog API. It serves as both the discovery and semantic layer of 麻豆原创 Business Data Cloud, giving every connected engine 鈥� 麻豆原创 or non-麻豆原创 鈥� a single point of access to unified business context: meaning, relationships, access rights and data lineage. This catalog will form the foundation of the 麻豆原创 Knowledge Graph, embedding business relationships, organizational hierarchies, regulatory classifications and cross-system lineage as native properties.

Dremio has been a leading steward of open-source projects at the heart of its platform: Apache Iceberg, Apache Polaris and Apache Arrow, and 麻豆原创 is fully committed to continuing to invest in and prioritize these contributions.

The transaction is expected to close in Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

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About Dremio

Dremio is the Agentic Lakehouse: the only Iceberg-native data platform built for agents and managed by agents. Every knowledge worker and AI agent gets instant, governed access to enterprise data through any LLM or tool of their choice. Federated queries reach any source without ETL pipelines. An AI Semantic layer adds business context so every agent draws from the same source of truth. The lakehouse manages itself, running clustering, optimization, and compaction autonomously. The result: trusted insights that drive better business outcomes, without the infrastructure complexity or overhead. A lead contributor to Apache Iceberg and co-creator of Apache Arrow and Apache Polaris. Trusted by Shell, TD Bank, Michelin, and thousands of organizations worldwide.

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�.

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

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

For more information, press only:
Alex Vaught, 麻豆原创, +1 (206) 678-5712, alex.vaught@sap.com, PST
Ilaina Jonas, 麻豆原创, +1 (646) 923-2834, ilaina.jonas@sap.com, EST
Daniel Reinhardt, 麻豆原创, +49 151 168 10 157, daniel.reinhardt@sap.com, CET
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.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see  for additional trademark information and notices.
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As one of the , TSG Hoffenheim is working closely with 麻豆原创 in a co鈥慽nnovation setup to pioneer and test new AI capabilities within . The focus is on assessing how AI can support football鈥憇pecific processes such as scouting and video analysis. 

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Transforming scouting with generative AI 

Scouting is crucial to TSG Hoffenheim and one of the most data-intensive areas in football. Talent evaluations often include dozens of detailed reports, observations, and assessments that must be synthesized into a clear player profile. 

As part of the ongoing co鈥慽nnovation, TSG Hoffenheim and 麻豆原创 are currently experimenting with AI鈥�supported scouting summaries in 麻豆原创 Sports One. Early versions explore how 麻豆原创 Joule can be used to ask natural language questions and receive AI鈥慻enerated responses that help condense extensive, unstructured text into more concise overviews, including recurring strengths, weaknesses, and performance tendencies. 

Scouts can ask, for example, questions such as: 

• 鈥淗ow good is player X at creating chances?鈥�  
• 鈥淪ummarize the most relevant observations from the scouting reports of player X from 2026.鈥� 
• 鈥淲hat are the strengths and weaknesses for Player X?鈥� 

These capabilities are being evaluated for their potential to reduce manual consolidation effort and support consistency in player assessments. Together, these benefits aim to enable more informed decision鈥憁aking across both youth and professional scouting. TSG Hoffenheim actively contributes to shaping this capability as 麻豆原创 evolves it, ensuring it reflects the operational realities of modern scouting organizations. 

AI-assisted scene finder: accelerating video analysis 

Video analysis remains one of the most resource-intensive workflows in professional football. 
Working together with 麻豆原创 and AWS Professional Services, TSG Hoffenheim is co鈥慽nnovating and testing an AI鈥�assisted scene finder concept. This capability explores how natural language input can support analysts in identifying relevant match situations more efficiently. 

Instead of sifting through video material, analysts can describe the scenario they are looking for: 鈥淪how counterattacks after ball recovery that resulted in a shot on target.鈥� Within seconds, the system can retrieve matching clips. 

For clubs like TSG Hoffenheim, this capability has great potential to reduce time spent on manual video search, support more targeted tactical preparation, and improve collaboration between analysts and coaching staff as the solution continues to mature.

Shared commitment to innovation 

鈥淥ur partnership with 麻豆原创 goes far beyond simply implementing new technology,鈥� Timo Gross, head of Football Intelligence at TSG Hoffenheim, said. 鈥淚t鈥檚 a true co鈥慽nnovation relationship that combines our practical on鈥慺ield football expertise with 麻豆原创鈥檚 leadership in enterprise AI and cloud鈥慸riven sports technology. By sharing real鈥憌orld insights from our daily work and validating new ideas early on, we play an active role in shaping the next generation of AI capabilities within 麻豆原创 Sports One.鈥� 

As AI becomes an integral part of , 麻豆原创 and TSG Hoffenheim will continue to collaborate on solutions that elevate performance, streamline operations, and unlock new strategic advantages. 

With intelligent scouting, natural language insights as well as automated video discovery, the future of football analysis is rapidly evolving, and TSG Hoffenheim stands at the forefront of that transformation. 

Isabelle Schuhmacher is communications lead for 麻豆原创 Global Sponsorships.

Top image 漏 TSG Hoffenheim

After months of renovation and designing the new creative space together with architects and facility management, the new 麻豆原创 AppHaus Walldorf opened its doors for 麻豆原创 employees in the region. It is an important milestone towards an outstanding, integrated customer experience on the Walldorf campus. The opening started with a fireside chat with 脕lvaro Wiedling, head of Customer Engagement Services MEE; Andreas Wendel, head of 麻豆原创 Innovation Experience Services; Dennis Kecskemeti, head of 麻豆原创 Innovation Experience; and moderated by Kathrin Tarnai-Sindl, head of Customer Engagements for APAC, EMEA, and MEE.

Visitors such as Dirk Haeussermann, managing director 麻豆原创 Germany, joined the event to get first impressions of the new space: 鈥淭he new 麻豆原创 AppHaus Walldorf is a very friendly and inviting collaboration space that is a perfect setup for our customers and partners to explore the newest innovations. It inspires them to move on into real, live solutions.鈥�

The opening celebration

For the opening, the team decided to not cut a red ribbon, but tell a little story. After uncovering an old Chinese gong, Kecskemeti officially opened the new 麻豆原创 AppHaus Walldorf with a loud and clear gong stroke. He explained that the gong was one of the signature pieces from the previous creative space in Heidelberg. There, it had a classic, traditional Chinese design and its sound was used during many workshops, meeting breaks, and events. When the team prepared the move from Heidelberg, it was immediately clear that the gong had to be taken to Walldorf. It went through its own small transformation, being redesigned and given a modern look to perfectly fit into the new space. When its deep sound was heard in the new 麻豆原创 AppHaus Walldorf environment it was a worthy setting to start the new chapter in its new home.

From now on, the gong will be an integral part of 麻豆原创 AppHaus Walldorf, where the team continues to run innovation workshops. Together with 麻豆原创 customers and partners, it is all about framing the right business problems, turning insights into blueprints, and piloting ideas fast. This is especially relevant for AI solutions and the business opportunities brought about by agentic AI. Along the dedicated听,听the 麻豆原创 AppHaus team supports customers of all industries to explore use cases and design them based on the latest 麻豆原创 technologies. That way, 麻豆原创 customers can learn, adapt, and scale with confidence.听

The integrated Walldorf campus experience

Now at 麻豆原创 headquarters, the new 麻豆原创 AppHaus Walldorf offers customers a collaborative, hands-on space to explore 麻豆原创 innovation. Together with the 麻豆原创 Experience Center, the show floor, S-Factory, and S.Mart Store, 麻豆原创鈥檚 Walldorf campus takes customers on a truly holistic journey, from inspiration to real impact. It shows visitors not just what 麻豆原创 can do, but offers them the opportunity to explore and design solutions with the latest 麻豆原创 technologies, such as 麻豆原创 Business AI, to use the innovation potential for their respective business. Along its human-centered innovation approach, the 麻豆原创 AppHaus helps teams turn ideas into solutions and make innovation real, especially when it comes to .

“Our new innovation service offerings represent a significant evolution in how we support our customers’ digital transformation. By combining the inspirational power of our 麻豆原创 Experience Centers with the interactive, hands-on 麻豆原创 AppHaus workshop formats, we’re able to guide customers at every stage of their transformation journey and create measurable value quickly,鈥� Wieldling says. 鈥淲hat truly sets this approach apart is our commitment to involving business stakeholders and end users from day one. This helps ensure that the use cases we identify and solutions we design have genuine business relevance and real-world applicability鈥攗ltimately delivering outcomes that matter to our customers.鈥�

The work with customers

At the heart of what the 麻豆原创 AppHaus offers are three core services: innovation service, explore service, and design service. Depending on the customer鈥檚 needs, these can be extended, for example, with different workshop formats, such as for 麻豆原创 Business AI, 麻豆原创 Business Technology Platform (麻豆原创 BTP), or Joule. In a networked way, customers also get direct access to product experts who are involved where they add the most value.

New beginnings

鈥淔or many people, the 麻豆原创 AppHaus Heidelberg was more than just a workplace or a workshop location. It felt like working in a startup environment to build and design new solutions together with customers and partners. So, there clearly is a nostalgic look back on shared memories,鈥� Tarnai-Sindl says. 鈥淎t the same time, the campus in Walldorf brings new energy and opportunities. You feel more strongly that you鈥檙e part of a bigger whole and have the chance to meet and connect with many colleagues and people more easily. It鈥檚 a move from a very familiar environment into a larger context, with a sense of new beginnings.鈥�

The first comments on the guest wall听in 麻豆原创 AppHaus Walldorf听seem to prove her right:听鈥淐ool new space!鈥�, 鈥淔inally!鈥�, and 鈥淗ow inspiring, open, and well designed.鈥�

Imke Vierjahn is 麻豆原创 AppHaus Network communications lead.

– Notice of upcoming merger –

1. It is intended to merge emarsys interactive services GmbH (Local Court of Charlottenburg, HRB 118447) as the transferring company with 麻豆原创 SE as the acquiring company by way of a simplified intra-group merger. The transfer of the assets of emarsys interactive services GmbH shall take effect internally as of January 1, 2026, at 12:00 a.m. (鈥�Merger Effective Date鈥�). From the Merger Effective Date until the time of the dissolution of emarsys interactive services GmbH pursuant to Sec. 20 para. 1 no. 2 UmwG, all acts and transactions of emarsys interactive services GmbH shall be deemed to have been conducted on behalf of 麻豆原创 SE.

   麻豆原创 SE is the sole shareholder of emarsys interactive services GmbH as of the date relevant for the application of the group exemption provision under Sec. 62 UmwG, namely the filing of the merger with the respective commercial register and the respective date of registration. A merger resolution by the acquiring company 麻豆原创 SE is not required pursuant to Sec. 62 para. 1 sent. 1 UmwG. Consequently, it is also not necessary to convene a general meeting of 麻豆原创 SE to approve the merger. For the same reason, neither a merger report, a merger audit, nor a merger audit report is required, Sec. 8 para. 3 sent. 3 no. 1 lit. a), Sec. 9 para. 2, Sec. 12 para. 3, Sec. 60 UmwG.

2. The shareholders of 麻豆原创 SE are hereby notified of their right to demand the convening of a general meeting to vote on approval of the merger if the shares held by the shareholders making such a demand together amount to one-twentieth of the share capital of 麻豆原创 SE (Sec. 62 para. 2 sent. 1, and para. 3 sent. 3 UmwG).
3. A resolution by the shareholders鈥� meeting of emarsys interactive services GmbH approving the merger agreement with 麻豆原创 SE is not required, since, as of the date relevant for the application of the intra-group exemption provision of Sec. 62 UmwG 鈥� namely, the filing of the merger with the respective commercial register and the respective date of registration 鈥� the entire share capital of emarsys interactive services GmbH is held by 麻豆原创 SE, Sec. 62 para. 4 sent. 1 UmwG.
4. The following documents are available as of the date of this announcement:
   1. The between 麻豆原创 SE and emarsys interactive services GmbH.
   2. The annual financial statements and, where required, the annual reports of the companies who are parties to the merger for last three fiscal years:
      

      
      
      
      
      
      

麻豆原创 SE, April 24, 2026

The Executive Board

At a glance

• Current cloud backlog of 鈧�21.9 billion, up 20% and up 25% at constant currencies
• Cloud revenue up 19% and up 27% at constant currencies
• Cloud ERP Suite revenue up 23% and up 30% at constant currencies
• Total revenue up 6% and up 12% at constant currencies
• IFRS operating profit up 17%, non-IFRS operating profit up 17% and up 24% at constant currencies

Christian Klein, CEO:

鈥淲e had a strong start to the year, with Current Cloud Backlog growing by 25% and Cloud Revenue up 27% at constant currencies. This performance is supported by our momentum in Business AI as we are already delivering real outcomes for customers today. We are growing faster than the market and are gaining share as customers expand across our Suite and with our AI solutions. At Sapphire, we will show how we are taking the next leap forward.鈥�

Dominik Asam, CFO:

鈥淲e delivered a solid start to the year, supported by disciplined execution in revenue and profitability. At the same time, we have remained focused on managing our cost base and maintaining profitability as we navigate an increasingly complex and uncertain macroeconomic and geopolitical environment.鈥�

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 to 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�.

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

For more information, press only:
Marcus Winkler, +46 (6227) 7-67497, marcus.winkler@sap.com, CEST
Daniel Reinhardt, +49 (6227) 7-40201, daniel.reinhardt@sap.com, CEST

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

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

麻豆原创 CEO Christian Klein and CFO Dominik Asam will host a financial analyst call to review first quarter results.

Media representatives may may listen in on the virtual analyst via on April 23, 2026, at 11:00 p.m. CEST/5:00 p.m. ET.

In this context, innovation is not about experimentation on the sidelines. It is about building the operational foundation required to remain effective, trustworthy, and competitive under pressure.

For many years, enterprise technology focused primarily on optimization, improving efficiency, reducing cost, and increasing speed. These goals still matter, but they are no longer sufficient for business success. Today, leaders must ensure that their organizations can adapt in real time, integrate seamlessly across ecosystems, and maintain control over their most critical data and processes.

This shift, from readiness for known scenarios to resilience in the face of the unknown, is what unites the 19 winners of the 2026 麻豆原创 Innovation Awards.

From technology adoption to institutional capability

Earlier this month, we announced the finalists for this year鈥檚 awards. Today, it is my privilege to recognize the winners, organizations that have moved decisively from ambition to execution.

What distinguishes these companies, public institutions, and organizations is not the novelty of the technologies they use, but the way they apply them. They treat business processes as strategic assets. They design for interoperability, transparency, and trust. And they understand that digital transformation is ultimately about strengthening institutional capability, not simply deploying software.

Across hundreds of submissions, the winning projects consistently demonstrated three priorities that are increasingly inseparable:

• Operational effectiveness, where strategic intent is translated into measurable outcomes
• Control and sovereignty, ensuring compliance, security, and ownership of data while operating at global scale
• Ecosystem orchestration, connecting partners, suppliers, and stakeholders to reduce fragmentation and increase responsiveness

By leveraging the depth and breadth of the 麻豆原创 portfolio, from cloud ERP and business AI to industry solutions and 麻豆原创 Business Technology Platform, these organizations have shown that stability and innovation are no longer mutually exclusive.

The 2026 麻豆原创 Innovation Award winners

The following organizations represent the action side of transformation. Each demonstrates how disciplined execution and a clear architectural vision can deliver tangible value for customers, employees, and society.

AI Excellence

Harnessing 麻豆原创 Business AI to fundamentally improve productivity and decision-making:

• Martur Fompak International

Cloud ERP Champion

Embracing cloud ERP as the backbone for long-term agility and scalability:

• PricewaterhouseCoopers (PwC)
• Vedanta Limited

Customer Experience Innovator

Redefining customer engagement through integrated, cloud-based business processes:

• IBM

Financial Futurist

Modernizing financial operations to increase transparency, resilience, and trust:

• Ministry of Defence of Ukraine

Industry Leader

Applying multiple 麻豆原创 solutions to transform business models, collaborate across ecosystems, and generate societal or environmental impact:

• Nestl茅 (Consumer Industries)
• Piller Blowers & Compressors GmbH (Discrete Industries)
• Prysmian (Energy and Natural Resources)
• City of Madrid (Public Services)
• Accenture (Service and Financial Services Industries)

People Experience Pioneer

Reimagining the employee experience through data-driven and human-centric transformation:

• Capgemini

Procurement Visionary

Using automation and insight to strengthen spend control and supplier collaboration:

• TASNEE (National Industrialization Company)

Services Superstar

Accelerating business outcomes through the effective use of 麻豆原创 services:

• Federal Tax Authority, United Arab Emirates

Supply Chain Catalyst

Building resilient, compliant, and transparent supply chains:

• Sasol
• Ericsson

Sustainability Hero

Leveraging data to enable responsible decision-making and support a more sustainable economy:

• ArcelorMittal SA

Technology Pathfinder

Solving complex business challenges with measurable impact using 麻豆原创 Business Technology Platform:

• Promocean The Netherlands BV
• Land O鈥橪akes, Inc.

Transformation Impact

Driving enterprise-wide change and strengthening long-term transformation capability:

• KPMG International

Recognition and responsibility

All of our winners have set a clear benchmark for what resilient, future-ready organizations look like in practice.

We look forward to recognizing their achievements at 麻豆原创 Sapphire, where customers and partners from around the world will come together to share insights, compare experiences, and continue shaping the ecosystems that underpin global business.

Looking ahead

The 麻豆原创 Innovation Awards are more than just a moment of recognition. They signal that digital sovereignty, operational resilience, and responsible innovation are achievable across industries, sectors, and regions. The organizations recognized this year demonstrate what is possible when technology choices are guided by clear priorities and long-term thinking.

May these examples encourage others to take the next step, moving with confidence from readiness to resilience.

Thomas Saueressig is Chief Customer Officer and Member of the Executive Board of 麻豆原创 SE.

“In her role as chief people officer, Gina Vargiu-Breuer has laid important foundations for 麻豆原创’s continued success by strengthening how we attract, develop and lead our people,” said Pekka Ala-Pietil盲, Chairman of the Supervisory Board of 麻豆原创 SE. “We appreciate her energy and dedication and are convinced she will further drive 麻豆原创’s transformation into the age of AI.

“I am grateful for the trust of the Supervisory Board and look forward to shaping 麻豆原创鈥檚 transformation in the age of AI,” said Vargiu-Breuer. “This is about rethinking how we operate as a company: how we work, make decisions and deliver value to our customers. Together with my People & Culture team, we will continue what we started two years ago and turn this transformation into tangible business impact at scale.”

Vargiu-Breuer became a member of the Executive Board of 麻豆原创 SE in 2024. Prior to joining 麻豆原创, she served as Senior Vice President of Human Resources at Siemens Energy. Earlier in her career, Vargiu-Breuer held multiple roles at Siemens AG.

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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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For 13 years, we have been shining a light on the people and organizations doing breakthrough work. Today, it鈥檚 my pleasure to announce the 2026 麻豆原创 Innovation Award finalists.

What distinguishes this year’s innovators is their ability to use 麻豆原创 technology to run, adapt, and innovate in the face of change and complexity. From using AI to unify financial and sustainability data to redesigning value chains for resilience and predicting risks rather than reacting to them, they are closing the “say-do” action gap and making innovation real.

Meet the 2026 finalists

The day we announce these finalists is always a highlight because we see how organizations are leveraging the 麻豆原创 landscape to make a tangible difference. This year, our finalists are setting benchmarks across 11 key categories:

• AI Excellence: harnessing 麻豆原创 Business AI to revolutionize processes and unlock new levels of productivity
• Cloud ERP Champion: embracing cloud ERP to future-proof operations
• Customer Experience Innovator: transforming businesses with cloud technologies to create standout experiences
• Financial Futurist: revolutionizing financial processes to deliver new business models and reduce risk
• People Experience Pioneer: reimagining the employee journey through digital transformation
• Procurement Visionary: automating procurement to manage spend for better control and greater value
• Supply Chain Catalyst: building strong, well-orchestrated supply chains that are resilient and compliant
• Sustainability Hero: harnessing the power of data to build an inclusive economy and shape a sustainable future (My personal favorite!)
• Technology Pathfinder: implementing 麻豆原创 Business Technology Platform to solve business problems with measurable impact.
• Transformation Impact: generating critical business value and strengthening transformation capabilities to remain resilient
• Industry Leader: leveraging multiple 麻豆原创 solutions to reinvent business models, collaborate across ecosystems, and create meaningful societal or environmental impact (Note: All entries are also automatically considered for the Industry Leader category, recognizing modernization within specific verticals from consumer industries to public services.)

The road ahead

To our finalists: congratulations.

You were selected by our distinguished panel of judges because you aren’t just comparing today against the peak of the hype cycle; you are building for the reality of the future. You have demonstrated case creativity, tangible outcomes, and the true spirit of the intelligent enterprise.

What comes next? The winners will be announced on April 14, 2026. Winners will receive a trophy and the option of a $1,000 charitable donation voucher or an admission ticket to 麻豆原创 Sapphire Orlando or Madrid, where we will hold the 麻豆原创 Innovation Awards reception.

But beyond the trophies, these finalists represent a signal to the market. They show us that while short-term risks are noisy and reactive, long-term value is built by those who integrate, automate, and adapt.

Let鈥檚 stay engaged, stay inspired, and keep closing the gap between saying and doing.

Sophia Mendelsohn is chief sustainability and commercial officer at 麻豆原创.

The 11th cycle of the Hasso Plattner Founders鈥� Award saw an evolution of the award itself. With a refined structure and this year鈥檚 strong thematic focus on AI, the award now recognizes achievements in two categories: Emerging Ideas, honoring visionary concepts that explore new architectural directions and long-term opportunities for customers and the business, and Scaling Innovation, celebrating innovations already delivering proven impact at scale.

The jury received a total of 254 submissions from all over the globe, from which 41 finalists representing nine different countries were chosen. Six teams made it to the final round, highlighting the breadth of innovation across teams worldwide.

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The winning teams were formally recognized and celebrated during a red carpet award ceremony on March 26 at 麻豆原创 headquarters in Walldorf, Germany. Executive Board Members Christian Klein and Sebastian Steinhaeuser introduced the finalists and announced the winners in the Emerging Ideas and Scaling Innovation categories, respectively. 

Emerging Ideas winner: 麻豆原创 Cognitive Twin Enterprise

The Emerging Ideas category honors bold thinking and visionary concepts that explore the future of enterprise software. This year鈥檚 winner, 麻豆原创 Cognitive Twin Enterprise (麻豆原创 CTE), embodies this forward-looking spirit by presenting a new way of how organizations plan, simulate, and execute in an increasingly complex and fast-changing world.  

麻豆原创 CTE introduces the idea of an ever-learning, AI-powered intelligence layer built on a continuously updated model of the entire organization. It unifies data, simulation, and AI on 麻豆原创鈥檚 foundation to help deliver guided autonomy across functions, supporting the shift from keyboard-centric SaaS to governed decision-making and agent-led execution. 

Acting as a constant observer of the business landscape, 麻豆原创 CTE evaluates an organization鈥檚 position against anticipated trends and potential changes. It runs what-if simulations and provides governed recommendations on 麻豆原创 applications and data across finance, spend, supply chain, HR, and customer experience, with selective, low-risk auto-execution and human-in-the-loop control for high-risk steps. By doing so, it can transform ERP into an AI-native system of foresight and elevates workforce intelligence. 

The solution helps organizations move from reacting after events occur to proactively and continuously testing scenarios, anticipating risks, and evaluating options. This provides the information they need to make critical decisions, allowing them to anticipate what鈥檚 next, shape it, and execute in a single, connected environment.  

鈥淲inning the Hasso Plattner Founders’ Award validated 麻豆原创 Cognitive Twin Enterprise鈥檚 vision,鈥� Natalia Aksakova, Strategy & Portfolio at Global Finance and Administration, says on behalf of the team. 鈥淚t reinforced that we are on the right path and gives us the momentum to bring the next era of ERP to life faster, with the ambition to help define how organizations operate in the years ahead.鈥� 

Scaling Innovation winner: 麻豆原创 Document AI

The winner in the Scaling Innovation category demonstrates how breakthrough innovation becomes truly transformative when it is embedded into everyday business processes and adopted at global scale. The 麻豆原创 Document AI solution can fundamentally change how organizations process and understand the vast volume of documents that power daily operations.

Across industries, enterprises continue to grapple with the rapid growth of unstructured data. Invoices, purchase orders, contracts, shipping documents, and many other business records still require significant manual handling in many organizations, creating bottlenecks, delays, and avoidable errors. The 麻豆原创 Document AI team addressed this challenge by bringing intelligent document processing directly into core business applications, enabling customers to automate document workflows seamlessly and securely.

What sets this achievement apart is not only the technological innovation but the scale of real-world adoption. The solution has become deeply embedded across 麻豆原创鈥檚 portfolio and is used by tens of thousands of customers worldwide to process billions of documents. By integrating advanced AI capabilities directly into existing workflows, the team has made automation accessible without the need for complex integrations or specialized expertise. This approach enables organizations to accelerate business processes, reduce manual effort, and improve the quality and speed of decision-making.

The award recognizes the team鈥檚 ability to translate research excellence and engineering innovation into measurable business impact. Their work demonstrates how embedded AI can move beyond experimentation to become a trusted and reliable component of everyday enterprise operations. By operationalizing AI responsibly and at scale, the team has helped strengthen 麻豆原创鈥檚 position as a leader in enterprise automation and intelligent applications.

Equally important is the long-term perspective behind the innovation. The continued evolution of document understanding capabilities, combined with growing adoption across 麻豆原创鈥檚 platform, illustrates how scalable AI can serve as a foundation for future innovation. The recognition celebrates not only the impact already achieved but also the momentum created for the next generation of intelligent enterprise processes.

鈥淲inning this award is a tremendous honor for our team,鈥� Tobias Weller, chief product owner and team lead, says. 鈥淚t validates years of hard work, close collaboration, and a shared belief in the transformative potential of AI to accelerate essential business processes and capture true business value for our customers.鈥�

Celebrating innovation across the AI spectrum

The Hasso Plattner Founders鈥� Award has long celebrated the people and ideas that drive 麻豆原创 forward. By recognizing both scaled impact and visionary thinking, the award highlights how innovation thrives at every stage of the journey鈥攆rom early exploration to global adoption. It underscores the belief that long-term success depends on both delivering value today and continuously reimagining what is possible.

At the ceremony in Walldorf, employees around the world came together or joined virtually to celebrate the winning teams and the many contributors who helped bring their ideas to life. Their work reflects the creativity, dedication, and passion that define 麻豆原创鈥檚 culture of innovation. As the company continues to advance its AI-driven strategy, this year鈥檚 winners demonstrate how teams across the organization are turning ambition into reality鈥攈elping customers run better, adapt faster, and prepare for the future.

The winning teams will be given the opportunity to pitch their project to the Executive Board in 2026. The projects will be recognized in the permanent Founders鈥� Exhibits in Walldorf and Palo Alto. In addition, the members of the winning teams will receive a personalized trophy.

Once closed, the acquisition will strengthen 麻豆原创 Business Data Cloud (麻豆原创 BDC)鈥攊ntegral for 麻豆原创’s AI-First and Suite-First strategy鈥攁nd accelerate the evolution of 麻豆原创 BDC to a fully interoperable enterprise data platform for enterprise-wide agentic AI. It will provide customers with the tools they need to unify, cleanse and harmonize data across sources for superior enterprise-wide agentic AI.

“Reltio is a natural fit with 麻豆原创,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. 鈥淎cquiring them will further improve our position as a leading business AI provider, combining 麻豆原创 and non-麻豆原创 data to deliver data context that business AI requires. AI cannot reach its full potential when data is fragmented across business units, platforms and domains without connection or context.鈥�

By integrating Reltio after closing the acquisition, 麻豆原创 will make customers’ enterprise data fully AI-ready. Customers will be able to rely on trusted, high-quality data across 麻豆原创 and non-麻豆原创 sources that Joule and Joule Agents use to deliver faster time-to-value for business AI.

Reltio鈥檚 platform helps organizations manage and govern structured and unstructured enterprise data from start to finish. Its AI-based entity resolution identifies and merges related records from different formats and applications into one reliable 鈥済olden record鈥� system of context. Its cloud-native, AI-first design supports a single, consistent view of customers, products, suppliers, locations and employees across both 麻豆原创 and non-麻豆原创 applications. Customers running AI tasks will benefit from increased reliability and consistency of data, bundled in a single source of truth, improving business AI. With that, customers can trust that AI results are correct, and AI-interactions are resolved fast.

鈥淛oining forces with 麻豆原创 presents a tremendous opportunity for us to accelerate our mission,鈥� Reltio Founder and CEO Manish Sood said. 鈥淓nterprise AI needs trusted context that is open and interoperable across the heterogeneous IT landscapes our customers run. This combination accelerates our ability to deliver Reltio as the system of context across 麻豆原创 and non-麻豆原创 environments, while maintaining continuity for our customers and our partner ecosystem.鈥�

Reltio’s data cleansing, unification capabilities and agent-driven workflows will work alongside 麻豆原创 Business Suite applications to improve decisions, reduce integration complexity and deliver trusted, consistent data critical for successful business processes and AI use cases. Low latency delivery and support for the Model Context Protocol (MCP) enable real-time, multiagent workflows across 麻豆原创 and non-麻豆原创 environments, allowing AI agents, such as a procurement agent, to assess supplier risk and trigger actions almost instantly using trusted, real-time data. Reltio offers prebuilt, industry-specific 鈥渧elocity packs鈥� that include data models, rules, matching logic and integrations, and solutions tailored to sectors like life sciences, healthcare and financial services.

By integrating Reltio after closing the acquisition, 麻豆原创 intends to accelerate its customers’ ability to govern and expose master data as trusted and context-rich data products across multiple sources that serve both traditional analytics workloads and AI agents. Reltio will become a core capability within 麻豆原创 BDC, with a flexible commercial model where customers can purchase Reltio as a separate solution or with other 麻豆原创 products. The Reltio portfolio will also remain available as a standalone offering for the foreseeable future.

The transaction is expected to close in Q2 or Q3 of 2026, subject to customary closing conditions, including regulatory approvals.

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About Reltio

Reltio is a leader in data unification and management, delivering cloud-native, AI-native master data management (MDM) to help enterprises create trusted data and unlock context intelligence for analytics, automation, and agentic AI. Designed for complex, multi-vendor environments, Reltio helps organizations unify, cleanse, harmonize, govern, and activate core data from multiple sources in real time鈥攁cross 麻豆原创 and non-麻豆原创 systems. The Reltio Data Cloud uses advanced entity resolution, continuous data quality, and relationship intelligence within an intelligent data graph to connect data across systems and reveal the full context behind customers, products, suppliers, and other key business entities. This enables organizations to reduce data friction, improve operational execution, and accelerate time to trusted decisions. For more information, visit .

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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Global Customer Center: +49 180 534-34-24
United States Only: 1 (800) 872-1麻豆原创 (1-800-872-1727)

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Aim茅e Leabon, 麻豆原创, +1 (212) 653-9600, aimee.leabon@sap.com, EST
Daniel Reinhardt, 麻豆原创, +49 151 168 10 157, daniel.reinhardt@sap.com, CET
Ilaina Jonas, 麻豆原创, +1 (646) 923-2834, ilaina.jonas@sap.com, EST
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Kevin Keenan, Reltio, +1 (987) 844-6203, kevin.keenan@reltio.com, PST

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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The new Board area is designed to strengthen 麻豆原创鈥檚 customer-centric operating model by delivering seamless, end-to-end experience from initial engagement through long-term value realization.

The Customer Value Group will be led by Thomas Saueressig (40), whose role expands to Chief Customer Officer. In this capacity, he will oversee the full customer journey, aligning selling, delivery, services and support driving adoption, renewal and expansion of 麻豆原创鈥檚 cloud and AI-powered solutions. 麻豆原创 Extended Board members Jan Gilg and Manos Raptopoulos will report directly to Saueressig and continue to co-lead the Customer Success organization.

鈥淚n a business where adoption and renewal define success, the lines between selling and delivering disappear,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏ringing Customer Success and Customer Services & Delivery together is the right move now for our customers and for 麻豆原创, as we go all in on AI. Thomas combines deep product expertise with strong experience in services and customer delivery, and he has earned the trust of our customers and teams. I am convinced that under his leadership, this new organization will drive lasting customer value across the full journey.鈥�

Saueressig is a member of the Executive Board of 麻豆原创 SE, having joined 麻豆原创 in 2004 and been appointed to the Board in 2019. Prior to his new role, he led the Customer Services & Delivery Board area with global responsibility for long-term customer value in the cloud, including professional services, customer innovation services, support and 麻豆原创鈥檚 cloud infrastructure and operations. Earlier, he headed 麻豆原创 Product Engineering, overseeing 麻豆原创鈥檚 complete application portfolio, and served as Chief Information Officer, driving 麻豆原创鈥檚 internal cloud-first transformation. He holds a degree in Business Information Technology and a joint Executive MBA from ESSEC Business School and Mannheim Business School.

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Media Contact:
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麻豆原创 麻豆原创 Room;听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.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

麻豆原创 also announced that the 麻豆原创 Integrated Report 2025 is now available and accessible online at .

You can access PDF versions of the 麻豆原创 Integrated Report 2025 and the 麻豆原创 Annual Report 2025 on Form 20-F at our Investor Relations website . A hard copy of the audited consolidated financial statements can also be requested free of charge by sending an email to investor@sap.com or via phone +49 (6227) 7-67336.

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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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_{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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Following the presentation of the 鈥淪caling Innovation鈥� category finalists, we now turn to 鈥淓merging Ideas,鈥� which honors visionary concepts at an earlier stage鈥攑rojects that explore new architectural directions, challenge established models, and open long-term strategic opportunities for 麻豆原创 and its customers. The winners will be announced during the award ceremony on March 26, 2026.

麻豆原创 Cognitive Twin Enterprise (CTE)

Modern enterprises are very effective at monitoring their business and analyzing vast amounts of data, yet many still see untapped potential in safely testing complex scenarios end to end and turning insights into cross鈥慺unctional, policy鈥慳ligned options before making mission鈥慶ritical decisions. 麻豆原创 Cognitive Twin Enterprise (麻豆原创 CTE) addresses this gap by creating an AI鈥憄owered digital brain built on a continuously updated model of the whole organization. It runs what鈥慽f simulations and provides governed recommendations on 麻豆原创 applications and data across finance, spend, supply chain, HR, and customer experience, with selective, low鈥憆isk auto鈥慹xecution and human鈥慽n鈥憈he鈥憀oop control for higher鈥憆isk steps.

The business case is compelling. Organizations that combine digital twins with agentic AI at scale report double鈥慸igit improvements in efficiency and cost, plus materially faster decision cycles. For a global industrial enterprise with approximately 鈧�40 billion in revenue, 麻豆原创 CTE is modeled to systematically prevent margin leakage, excess working capital, and audit exposure, delivering an estimated 鈧�229 million or more per year in hard impact and risk-adjusted cash benefit. By maintaining a continuously updated representation of the business, companies can test scenarios before execution and dramatically reduce the risk of costly mistakes.

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麻豆原创 CTE鈥檚 real differentiator is its enterprise鈥憌ide scope. It consolidates existing 麻豆原创 capabilities and builds on 麻豆原创 Signavio solutions, 麻豆原创 Business Data Cloud, and 麻豆原创 Knowledge Graph to maintain a shared semantic model of how the whole business runs. This cross鈥慸omain intelligence lets Joule and AI agents optimize complex trade鈥憃ffs鈥攕uch as cost versus service level versus carbon footprint versus operational risk鈥攁cross all functions, rather than pushing problems from one silo to another. At the same time, 麻豆原创 CTE provides a safe innovation environment: enterprises can trial new pricing strategies, network configurations, and workforce models in a production鈥慻rade twin before agents execute changes in live systems.

麻豆原创 CTE represents a strategic shift in how enterprises operate. It turns 麻豆原创鈥檚 deep process knowledge, rich transactional data, and mature governance tooling into a differentiated position in a cognitive twin market that analysts expect to accelerate from US$36 billion today to US$150 billion by 2032, with 30%-40% annual growth. As an extensible platform, 麻豆原创 CTE is designed to be the trusted operational brain for that future: new agents, scenarios, and data products plug into the same enterprise twin, allowing customers to expand autonomy and business impact over time without rebuilding their foundation.

鈥溌槎乖� CTE is more than an initiative: it鈥檚 our vision for a new era of connected intelligence. We鈥檙e bringing strategy, data, and execution into one continuous system of insight, so customers don鈥檛 just react to change鈥攖hey anticipate what鈥檚 next and shape it. That鈥檚 how we win and grow together,鈥� said Natalia Aksakova, Strategy & Portfolio at Global Finance and Administration.

麻豆原创 Signavio Transformation Advisor

Organizations planning business transformations face a persistent bottleneck: identifying the right challenges to focus on and creating actionable initiatives is slow, costly, and heavily dependent on expert consultants and detailed knowledge of the organization. This traditional approach delays decision-making and increases risk in fast-changing markets, with analysis often taking weeks or months to complete.

麻豆原创 Signavio Transformation Advisor reimagines this workflow by using AI to extract business challenges and create actionable recommendations to solve them in minutes. The solution identifies business challenges in uploaded reports or via text input and instantly generates recommendations linked to process insights and best practices to make them addressable. By combining advanced language models with the 麻豆原创 Signavio portfolio鈥榮 process knowledge, it enables users to achieve in minutes what previously required weeks of manual effort while keeping users in full control.

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Early results demonstrate significant impact. The tool cuts analysis time by up to 80%, enabling faster decision-making and reducing reliance on scarce consulting resources. Since launch, approximately 200 customers have tested the transformation advisor, validating its value across organizations at different maturity levels. The solution has proven valuable both for customer engagements and for internal use in preparing sales pitches.

The innovation lies in bridging strategic business challenges and operational processes in a way no existing tool does. It automatically identifies organizational pain points and links them to targeted process flows, best practices, and improvement opportunities within the 麻豆原创 Signavio ecosystem. This seamless integration empowers leaders to move from insight to action in just a few clicks, aligning transformation initiatives with company strategy.

The team embraced a proactive and entrepreneurial mindset: it started with a pure technical proof of concept then moved to a prototype for internal demonstrations, general accessibility and testing, and ultimately a releasable feature. The team demonstrated both transparency and customer focus by responding early to pull from go-to-market and sales teams while clearly stating tool limitations at each stage.

“The real fun in developing such a solution lies in seeing your idea and your knowledge grow at the same time and getting a clear pull from the market early on. The best customer sessions were those where the tool was improved live during the interview. That combined is a clear signal that we are on the right track,鈥� said Alex Cramer, product manager at 麻豆原创 Signavio Next.

AURA (Asset Understanding & Reliability AI)

Field engineers maintaining critical infrastructure face a frustrating reality: reporting asset faults requires completing complex forms on mobile devices, scrolling through endless dropdowns and codes. At one heavy equipment and infrastructure customer, 300 users report 400 to 1,000 asset faults monthly through 麻豆原创 S/4HANA, but the process is slow, manual, and error prone. A single classification mistake can send the wrong maintenance crew and delay urgent fixes.

AURA (Asset Understanding & Reliability AI) revolutionizes this workflow by combining 麻豆原创 HANA Cloud vector engine, 麻豆原创 AI Core, and generative AI into a single intelligent solution. Instead of completing eight or more complex form fields, engineers simply upload a photo of the fault; review an AI-generated report automatically populated with asset type, location, and recommended classification; and confirm submission鈥攁ll within seconds.

The technology uses embedded text, semantic search, and geospatial data to analyze both images and historical fault reports. AURA cross-references similar cases in the knowledge base, suggests the most accurate fault category, and learns from user corrections over time. 麻豆原创 Cloud Application Programming Model provides the secure foundation, 麻豆原创 HANA geospatial content supports asset location intelligence, and AI models process text and images using 麻豆原创 HANA Cloud vector engine for similarity matching.

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Results demonstrate substantial operational impact. AURA delivers 80% faster fault reporting, fewer data entry errors and misclassifications, and improved response times. For the customer, this translates to safer infrastructure, reduced operational costs, and a future-ready foundation for predictive maintenance. The response validated the approach: the customer loved the proof of concept and agreed to proceed with AURA as an official project.

Beyond defect detection, AURA lays the groundwork for scalable AI asset intelligence. Future phases include building a knowledge graph to link asset relationships, a data product integrated into 麻豆原创 Business Data Cloud for advanced reporting, and a self-learning model that continuously improves accuracy. This creates a repeatable, cost-efficient framework adaptable across industries.

The solution embeds responsible AI principles from inception. The model uses customer-specific historical data to prevent bias, includes human review before submission, and explicitly handles uncertainty to avoid hallucinations. It ensures transparency and compliance with 麻豆原创’s responsible AI framework while empowering human decision-makers.

鈥淲e believe the future of AI is not replacing people, but elevating them,鈥� said Ruth Peng, AI specialist from 麻豆原创 HANA ANZ. 鈥淎URA equips every engineer in the field, from junior to expert, with the confidence to perform at their best.鈥�

If approved by shareholders and assuming the same level of treasury shares as of December 31, 2025, the total amount distributed in dividends would be approximately 鈧�2.919 billion (2024: 鈧�2.743 billion), representing a pay-out ratio of 40.7% (2024: 52.0%).

麻豆原创 believes that its shareholders should benefit appropriately from the profit the Company made in 2025. The Company鈥檚 dividend policy is to pay a dividend totaling 40% or more of Non-IFRS profit after tax.

The following dates are relevant for the dividend payment:

• Record date for dividend payment: May 5, 2026
• Ex-dividend date: May 6, 2026
• Payment date: May 8, 2026

Note to holders of 麻豆原创 ADRs (American Depositary Receipts):

One 麻豆原创 ADR represents one 麻豆原创 SE share. The final dividend amount per ADR is dependent upon the euro/U.S. dollar exchange rate. Since 麻豆原创 SE pays cash dividends on the ordinary shares in euro, the exchange rate fluctuations will affect the U.S. dollar amounts received by holders of ADRs. The final dividend payment by 麻豆原创 SE to the depositary bank is scheduled for May 8, 2026 . The depositary bank will then convert the dividend payment from euro into U.S. dollars as promptly as practicable.

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�.

For more information, financial community only:
Alexandra Steiger +49 (6227) 7-767336 investor@sap.com, CET
Follow 麻豆原创 Investor Relations on LinkedIn at .

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices.

The first category, “Scaling Innovation,” honors project teams that excel in innovation, align with 麻豆原创’s strategic priorities, and demonstrate significant and sustainable impact on the company. The winners will be announced during the award ceremony on March 26, 2026.

麻豆原创 Joule for Developers, ABAP AI capabilities

As organizations worldwide accelerate their transition to 麻豆原创 S/4HANA, one reality remains unchanged: ABAP continues to power the core of 麻豆原创鈥檚 technology and the mission鈥慶ritical business processes that run on it. At the same time, developers working with this backbone technology have long lacked the modern AI鈥慸riven tooling available in other programming ecosystems鈥攁n issue that becomes even more pressing during large鈥憇cale transformation projects.

This gap is precisely what 麻豆原创 Joule for Developers, ABAP AI capabilities addresses. As part of the broader Joule generative AI portfolio, it brings AI capabilities tailored for ABAP development directly into the hands of development teams. Its mission: to modernize the developer experience of writing, understanding, and maintaining ABAP code and to dramatically accelerate innovation at enterprise scale.

麻豆原创 Joule for Developers, ABAP AI capabilities is natively integrated into the ABAP development tools. It supports developers in a hybrid approach that utilizes a large language model fine-tuned by 麻豆原创 data scientists on millions of lines of ABAP code, along with commercial models augmented with context derived from decades of 麻豆原创 expertise. This equips developers with specialized capabilities covering everyday tasks like predictive code completion, unit test generation, real-time explanation, and chat-based assistance鈥攕ignificantly boosting productivity and developer satisfaction.

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Complementing this, ABAP AI for custom code migration redefines how organizations approach the complex task of revamping legacy custom code from 麻豆原创 ERP Central Component to 麻豆原创 S/4HANA. What once required weeks of manual analysis can now be accomplished in hours, with AI explaining legacy logic, highlighting needed adaptations, and generating migration proposals. Integrated into the Custom Code Migration app on 麻豆原创 Business Technology Platform (麻豆原创 BTP), it empowers project managers and consultants to better scope work packages and plan code migration project timelines with far greater accuracy.

麻豆原创 Joule for Developers, ABAP AI capabilities already serve thousands of developers across more than 280 customers, 470 partners, and 6,500 internal ABAP developers, with adoption growing rapidly inside 麻豆原创 and across the ecosystem. Evolving from a 2023 proof鈥憃f鈥慶oncept to enterprise availability in 2025, the project stands as a testament to what cross鈥憃rganizational collaboration between ABAP, AI, and 麻豆原创 S/4HANA teams can achieve鈥攂ringing innovation to one of 麻豆原创鈥檚 most essential developer communities.

Team lead Jasmin Gruschke, AI architect and project expert, describes the extraordinary team spirit: 鈥淯nited by a shared vision and customer dedication, we poured our collective energy and dedication into bringing an extraordinary idea to life, demonstrating that, together, we can turn visionary concepts into remarkable realities.鈥�

麻豆原创 Document AI

Modern enterprises face a growing obstacle in an increasingly data鈥慽ntense world, reflected in the rapid proliferation of unstructured business documents. From invoices and purchase orders to contracts and shipping papers, companies are drowning in information that demands time鈥慶onsuming manual processing. 麻豆原创 Document AI tackles this challenge head鈥憃n by transforming the way enterprises extract, process, and act on document鈥慴ased data.

Today, more than 30,000 customers rely on the solution to process billions of documents, embedded seamlessly across 麻豆原创鈥檚 core applications. 麻豆原创 Document AI delivers enterprise鈥慻rade automation without costly integrations or extensive model training, enabling businesses to accelerate workflows, reduce errors, and improve decision鈥憁aking at scale. Real鈥憌orld customer data shows the tangible impact: automated document processing powered by 麻豆原创 Document AI generates an estimated 鈧�2.6 billion in annual business value.

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麻豆原创 Document AI is now natively integrated into 32 business processes across 麻豆原创 S/4HANA, 麻豆原创 Business Network, 麻豆原创 Concur solutions, 麻豆原创 Fieldglass solutions, 麻豆原创 SuccessFactors solutions, the 麻豆原创 Customer Experience portfolio, and 麻豆原创 BTP, with dozens more use cases in development. This deep embedding of 鈥渆veryday AI鈥� into products that are already in use by customers is a key driver of adoption across 麻豆原创鈥檚 global installed base.

The technology behind the solution sets new industry benchmarks. 麻豆原创 was among the early innovators in schema-based zero-shot document processing, an approach that enables AI systems to understand complex documents without task-specific retraining, and which is now widely adopted across the AI ecosystem. Even before the rise of large language models, 麻豆原创 researchers advanced the field with award-winning and trend-setting papers such as CharGrid, BERTgrid, and Charmer, AI methods designed to help computers understand documents.

The team continues to innovate with AI that learns instantly from user feedback, 鈥渟ees鈥� and interprets documents visually, and understands content well enough to take intelligent actions on it. Their next generation of generative AI models now support over 110 languages. Building on these innovations, platform usage on 麻豆原创 BTP for custom document automation has increased 285-fold since 2020, underscoring how developers worldwide are leveraging this technology to streamline business processes. Next, 麻豆原创 Document AI will launch reusable tools that empower AI agents to handle complex document workflows across industries. As unstructured data and diverse document types become central to business processes, demand for smarter, faster, and more adaptable document understanding solutions has never been higher.

Tobias Weller, chief product owner and team lead, states: 鈥淲e built 麻豆原创 Document AI to deliver measurable business value at global scale, securely, responsibly, and embedded in everyday processes, demonstrating 麻豆原创鈥檚 ability to operationalize AI at massive scale.鈥�

麻豆原创 SuccessFactors Learning: GenAI Content Generation

With AI reshaping work at unprecedented speed, organizations face a dual challenge: mastering new skills and managing overwhelming amounts of information. 麻豆原创 SuccessFactors Learning: GenAI Content Generation is a game-changing capability designed to streamline, accelerate, and scale how learning content is produced across the enterprise.

The new capability leverages advanced large language models (LLMs) to convert simple prompts or uploaded files into complete, compliant learning experiences in minutes. What previously required days, weeks, or even months, can now be accomplished almost instantly. The system generates course outlines, quizzes, interactive elements, summaries, and assessments鈥攁ll tailored to the user鈥檚 input and organizational context.

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A key innovation lies in its multi鈥慙LM orchestration, enabling dynamic selection and combination of specialized models. This ensures high accuracy, domain relevance, and enterprise鈥慻rade content governance. Real-time multilingual translation allows learning teams to launch global courses simultaneously, while AI-based skill extraction automatically aligns content with workforce development strategies.

Early validation shows organizations can produce learning content five times faster, dramatically reducing costs and enabling teams to respond more quickly to shifting skill demands. Subject-matter experts throughout the organization can now create content and share knowledge more effectively鈥攚ithout requiring instructional design expertise. By transforming knowledge into structured, scalable learning experiences, the capability helps organizations strengthen agility, boost employee engagement, and ensure continuous upskilling across the enterprise.

Team lead Neha Dhawan, principal product manager, 麻豆原创 SuccessFactors Learning, describes the impact of the project: 鈥淲e鈥檙e not just building technology, we鈥檙e building possibilities鈥攆or admins to move faster, for managers to better support their teams, and for learners to experience content that feels personal and meaningful. If we can make learning more accessible and inspiring, then we鈥檝e created something that truly matters.鈥�

At a glance

• 麻豆原创 meets revenue and exceeds non-IFRS operating profit and free cash flow outlook for FY2025
• Total cloud backlog up 22% and up 30% at constant currencies
• Current cloud backlog up 16% and up 25% at constant currencies
• Cloud revenue up 23% and up 26% at constant currencies in FY2025
• Cloud ERP Suite revenue up 28% and up 32% at constant currencies in FY2025
• Total revenue up 8% and up 11% at constant currencies in FY2025
• IFRS operating profit up 111%, non-IFRS operating profit up 28% and up 31% at constant currencies in FY2025
• 麻豆原创 announces a new, two-year share repurchase program with a volume of up to 鈧�10 billion

Christian Klein, CEO:

鈥淨4 was a strong cloud quarter, with bookings resulting in 30% Total Cloud Backlog growth to a record 77 billion Euros. The significant Current Cloud Backlog growth in Q4 has laid a strong foundation for accelerating Total Revenue growth through 2027. 麻豆原创 Business AI has become a main driver for growth as it was included in two thirds of our Q4 cloud order entry, combined with strong AI adoption across the ERP Suite.鈥�

Dominik Asam, CFO:

鈥淲e closed 2025 on a high note, delivering strong operating profit and free cash flow ahead of our expectations. This performance reflects focused execution, financial discipline, and the continued trust our customers place in us as the North Star for their digital transformation. As evidenced by continued strong growth well ahead of the market in SaaS and PaaS, and our ability to bring such growth down to the bottom line and Free Cash Flow, we are confident that our strategy and operational discipline will continue to drive long-term value creation.鈥�

For more information, press only:
Marcus Winkler, +46 (6227) 7-67497, marcus.winkler@sap.com, CET
Daniel Reinhardt, +49 (6227) 7-40201, daniel.reinhardt@sap.com, CET

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

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Sovereignty is becoming a defining factor for organizations in the public sector and regulated industries. It is the foundation for adopting AI in a trusted, responsible way 鈥� and for driving meaningful digital transformation.

At the World Economic Forum Annual Meeting 2026 in Davos, 麻豆原创 executives Christian Klein and Thomas Saueressig, Chairman of the Supervisory Board of 麻豆原创 SE Pekka Ala-Pietila, along with global business leaders Dr. Ferri Abolhassan and Taha Bawa all share insights on how full-stack sovereignty empowers organizations and how trust and data control fuel responsible AI adoption.

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AI is transforming how work gets done, but only when humans remain at the center.

麻豆原创 takes an AI鈥慺irst, suite鈥慺irst approach, embedding AI directly into business processes to help drive productivity, profitability, and growth.

麻豆原创 executives Christian Klein, Gina Vargiu-Breuer, and Dominik Asam, along with Snowflake CEO Sridhar Ramaswamy and Goodwall CEO Taha Bawa, share their insights on the importance of AI in business transformation during the World Economic Forum Annual Meeting 2026听in Davos.

Recent  shows that almost all organizations now use AI in some form, yet most are still at the beginning of scaling it responsibly and effectively. At the same time, there is no question that technological change continues to happen at a remarkable pace, and it demands careful guidance through constant organizational transformation, strong leadership, and the key ability to learn and unlearn.

I am convinced that the future will not be human versus AI, despite this still-dominant narrative. It will be determined by how effectively human insight, judgement, and expertise shape AI鈥檚 integration into work and society. The real opportunity lies in combining human and AI across creative and analytical domains, applying the right competencies in the right context.

Built on trust and ethical intent, AI can amplify human potential while inevitably transforming certain roles and tasks. The Intelligent Age is not about technological dominance, but about purposeful progress through human-AI collaboration.

The rise of human-AI power couples

Imagine working with a new colleague who has not been trained in a classroom but by algorithms processing vast datasets. Simply put, this AI teammate delivers speed, scale, and precision while you bring judgement, context, and creativity. Together, you achieve outcomes neither could deliver alone.

This is already happening across industries. The real differentiator is how well humans and intelligent systems complement each other鈥檚 strengths鈥攎ainly combining AI鈥檚 capacity for data-driven execution with human adaptability and vision. These human-AI power couples are becoming a new source of competitive advantage, able to solve problems faster, spot opportunities earlier, and innovate more boldly.

Yet this potential only materializes when people trust the AI tools they use: trust built not just on transparency, but on daily experience of systems that help them succeed.

Designing the new architecture of work

To set these human-AI power couples up for success, organizations must rethink the very architecture of work. Trust and collaboration are not enough if the underlying structures remain rigid. Traditional roles and hierarchies cannot keep pace with continuous technological change. Work will become increasingly fluid, shaped by skills, collaboration, and shared intelligence. Our time demands adaptive organizations that continuously learn and enable their teams to take on new challenges as they arise.

Consequently, this shift also places new expectations on leaders. As AI progresses, human leadership becomes increasingly important, not less. Leaders must design environments where human and artificial intelligence reinforce each other, and they must actively drive the effective use of AI to deliver business outcomes. This requires adopting a new model, in which leaders fluently manage integrated systems of people and AI agents. They are accountable not only for their human teams鈥� performance, but also for the limitations of the AI models they deploy. This means creating a working environment where experimentation is encouraged and where people feel supported as their roles evolve.

As shown in 麻豆原创鈥檚 own , employees express growing openness toward AI-enabled coaching and support. When AI takes on parts of the coaching role, leaders must focus on what only humans can provide: context, empathy, and the ability to inspire. AI can track progress, but it cannot build trust or shape culture.

The human skills that will shape the Intelligent Age

As humans and intelligent systems collaborate more closely, the skills people need will also continue to evolve. Research from the  and the  shows that skills have a shorter lifespan than ever before. Traditional job profiles no longer keep pace. The real differentiator is how quickly people can learn and keep up as technology advances.

A skills-led organization takes a holistic view of employees鈥� skills across the entire employee life cycle鈥攆rom recruiting and learning to talent development and succession management. Its defining capability is the ability to adapt with speed to external changes and disruptions. A company can adjust required skills almost in real time. This is a prerequisite to staying competitive and responding quickly to customer and market needs.

AI is the catalyst for this adaptability: it identifies skill gaps in real time, personalizes learning journeys, and enables talent to move fluidly to where it is most needed. This turns skills management from a static process into a dynamic system, preparing a workforce that evolves alongside technology rather than being overtaken by it.

Culture as the true algorithm

At the same time, culture becomes equally decisive. Technology may accelerate change, but culture determines its impact. Responsible AI adoption depends on strong cultural foundations. A culture of trust enables people to take ownership and try new approaches without fear of failure. The goal is to have a workforce with a true growth mindset. A mindset that is defined by the inner drive to grow turns change from uncertainty into progress. It is the ability to learn and unlearn, to let go of outdated approaches and embrace new ones.

In fast-moving industries like technology, the pace of transformation is beyond any single person鈥檚 control; what can be shaped is how we respond to it. When curiosity and adaptation become a constant core element of organizational agility, change is met with confidence.

Building inclusive and forward-looking societies

When such strong organizational cultures guide responsible AI adoption, their influence naturally extends beyond the workplace, shaping how technology transforms societies, economies, labor markets, and education systems. Whether this shift leads to broader opportunity or deeper inequality depends on the decisions we make now.

AI is already widening access to learning, democratizing coaching, creating more opportunities, and enabling people to focus on meaningful, uniquely human work. The challenge now is to scale these gains, so the Intelligent Age drives shared progress鈥攏ot deeper inequality鈥攗nder a responsible, human-centric approach.

What matters now

In the Intelligent Age, technological progress will not wait鈥攏or should it鈥攂ut it does require leaders to redesign how work and organizations function so that human and artificial intelligence advance together.

This demands a radical rethinking of structures, skills, and leadership models to match the pace of innovation. Three imperatives stand out.

• Design for trust: Ensure transparent governance and explicit human accountability, embedded in every stage of AI design; this is essential to building trust in human-AI collaboration.
• Build human capability: Make continuous learning, upskilling, and mobility the default, powered by AI insights that connect talent to opportunity in real time.
• Lead with humanity: Anchor empathy, purpose, and ethical judgment in every decision.

Technology can amplify performance and even inspire to think out of the box, but only when guided by clear intent and values. The future will favor organizations that reimagine work at the speed of technology鈥攁nd keep humanity at its core.

AI will accelerate our potential, and while technology鈥檚 advance is largely unstoppable, it is our values and leadership that will determine how we respond to and guide its impact. AI without humanity is simply incomplete.

Gina Vargiu-Breuer is chief people officer, labor director, and a member of the Executive Board of 麻豆原创 SE.

.

As companies and governments face challenges around sovereignty, security and competitiveness, they need to embrace approaches that initially appear contradictory: investing boldly despite limited resources, sharing data while protecting it and competing while collaborating. These are not contradictions 鈥� this is the new operating model.

Against this backdrop, it becomes clear that organizations must adopt a three-pillar approach to navigate this new normal of paradoxes.

First, they must ground themselves in flexible digital foundations; second, embed AI deeply and responsibly into their operations; and third, view collaboration as a strategic advantage rather than a compromise.

These principles form the backbone of a sustainable way of working in the Intelligent Age, where progress depends on navigating paradoxes with agility and shared purpose.

Laying the foundation for flexibility

Progress is moving at breakneck speed. Technologies that seemed futuristic yesterday are mainstream today and by tomorrow, they could even be obsolete. To keep pace, organizations need a foundation that is rigid but adaptable 鈥� a platform that can evolve as quickly as the world around it.

That foundation is the cloud. A cloud migration is more than an IT project: it is the digital foundation for a thorough modernization of the entire enterprise, for moving from 鈥済ood 鈥渢o 鈥済reat.鈥�

Modern cloud infrastructure enables data, applications and AI to interoperate seamlessly, creating an environment where innovation can flourish. It accelerates the deployment of software updates and new applications, reduces complexity and provides the scalability needed to respond to shifting demands.

True flexibility, however, goes beyond technology. Organizations must foster a mindset that embraces change, encourages experimentation and prioritizes resilience over perfection. This means empowering teams to adapt quickly, learn continuously and view change as an opportunity rather than a threat.

Drive AI innovation on your terms

As AI rapidly reshapes how we live, study and work, no organization can afford to ignore it, yet many still have questions about how to apply it.

In the business-to-business realm, AI cannot be treated as a standalone technology. To unleash its full potential, AI must be deeply embedded in business processes. This requires three pillars:

• Modern cloud software
• Advanced data management
• A consistent stack of AI technologies

Companies that move from legacy on-premises software to integrated cloud applications unlock AI鈥檚 ability to access, understand and facilitate transactions across the enterprise. This enables AI agents to function as digital coworkers, capable of executing complex workflows spanning the business.

The power AI offers is undeniable and in today鈥檚 volatile world, this often leads to questions around digital sovereignty. True digital sovereignty is about maintaining control over critical data and assets while leveraging the best technologies available in line with national interests.

Data protection and compliance are non-negotiable. Companies and governments must ensure that sensitive information remains under appropriate jurisdictional control.

Internationally aligned sovereignty standards 鈥� such as ISO (鈥嬧�婭nternational Organization for Standardization) and IEC (International Electrotechnical Commission) 鈥� would enable secure, compliant scaling across borders, unlocking the full potential of AI without compromising trust.

Not all data requires the same level of protection. Information essential to national security or public safety requires the highest levels of control. At the same time, less sensitive data can be managed in trusted cloud environments that comply with recognized cybersecurity standards.

This nuanced approach allows organizations to balance innovation with responsibility.

Compete with collaboration

The paradox of competition and collaboration is perhaps the most striking of all. In a hyperconnected world, no company or government can tackle today鈥檚 challenges alone. Cybersecurity threats, climate change and economic inequality are global issues that demand collective solutions.

The competitive advantage now lies in partnerships 鈥� across industries, sectors and borders. Public-private collaboration is essential to co-create AI use cases, build open ecosystems and invest in digital education. Such partnerships are strategic imperatives that strengthen our society and our economy for long-term growth.

Collaboration also extends to governance. Establishing shared frameworks for ethical AI, data privacy and sustainability will require dialogue among stakeholders with competing interests. Yet, this dialogue is the cornerstone of progress.

Dialogue: the operating principle

While the opportunities AI provides are immense, they are by no means guaranteed. The determining factor will be our ability to engage in meaningful dialogue 鈥� as companies and governments, technology experts and policy-makers, innovators and citizens.

In the Intelligent Age, the question is not whether we will face paradoxes, but how we face them. Dialogue must be our operating principle 鈥� the means through which we reconcile paradoxes, build trust and chart a course toward shared prosperity. The future will belong to those who embrace complexity, act with courage and collaborate across divides.

Christian Klein is CEO and member of the Executive Board of 麻豆原创 SE.

.

“David鈥檚 deep understanding of our North American markets and strategic vision will accelerate 麻豆原创鈥檚 momentum in this geography as we continue to empower businesses with AI embedded in mission critical applications and powered by unified data to drive real business outcomes,” said Jan Gilg, Global President of Customer Success & Americas and member of the Extended Board of 麻豆原创 SE. 鈥淲ith his appointment, we are bringing special focus and extra leadership capacity to 麻豆原创鈥檚 most important growth market.鈥�

Robinson has 22 years of 麻豆原创 experience and proven leadership across multiple business functions. Most recently serving as president and chief revenue officer for Cloud ERP and acting managing director for 麻豆原创 U.S. Public Services, he has been instrumental in driving 麻豆原创鈥檚 and customers鈥� cloud transformation strategies. His 麻豆原创 career includes leadership roles as senior vice president for RISE with 麻豆原创, global vice president and managing director, COO for Customer Success, and regional vice president for business finance in North America. Earlier in his career, he served as chief innovation officer for public services and led industry advisory, value advisory, and product engineering teams at 麻豆原创 Labs.

Visit the听. Get 麻豆原创 news via听 and .

Media Contact:
Victoria Dixon, +1 (703) 288-6020, victoria.dixon@sap.com, ET
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.听 Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

At 麻豆原创, we act on our purpose to help the world run better and improve people鈥檚 lives through a responsible, people鈥慺irst approach to business.听

As a global technology leader, 麻豆原创 recognizes that its operations, business relationships鈥攊ncluding those with suppliers, partners, and customers鈥攁nd the solutions it delivers can impact people and their rights. This impact can be both positive and negative as well as direct and indirect.

麻豆原创 has embedded human rights into its corporate sustainability strategy and in company governance, processes, policies, and engagement across the entire value chain.听

From strategic commitment to culture 

To ensure that 麻豆原创’s due diligence remains effective, the Human Rights Office within the Corporate Sustainability organization collaborates with the Human Rights Steering Committee and relevant Board areas. Ultimate oversight rests with the Executive Board of 麻豆原创 SE.

This governance model provides the foundation for making human rights a shared, cross-functional responsibility rather than a standalone initiative. It translates into collaboration across the business:听 the central human rights team working with People & Culture organization to ensure that all employees receive a living wage or to embed safeguards against child and forced labor in recruitment and people management processes.

Beyond formal structures, it is essential that all employees embrace respect for people and their rights as part of 麻豆原创鈥檚 culture and as a guiding principle in interactions with colleagues, business partners, and the communities in which 麻豆原创 operates. Tailored capacity-building for critical roles for example in procurement, complemented by awareness sessions for all employees, helps us to get there by strengthening the understanding that day-to-day business activities influence human rights and that any adverse human rights impacts must be proactively identified and addressed.

鈥淲hat began as policy commitments is becoming part of how we operate: step by step. It takes time and effort to shift from focusing solely on 鈥榬isks to 麻豆原创鈥� to adding the consideration of 鈥榬isks to people鈥� in our strategic and daily business decisions.鈥�

Stephanie Raabe, Office of Human Rights and AI Ethics, 麻豆原创

Respecting human rights across the value chain

Turning commitment into practice requires structure across the business. 麻豆原创 operates within a global ecosystem鈥攖ens of thousands of suppliers, hundreds of thousands of customers, and millions of users鈥攚here every connection carries both opportunity and responsibility.

To meet this responsibility, 麻豆原创 runs a aligned with the UN Guiding Principles on Business and Human Rights, designed to identify, prevent, mitigate, and remedy potential impacts on people across its operations and relationships. The program鈥檚 core components include:

• Ongoing risk assessment to identify and prioritize potential impacts on people
• Preventive and remedial action embedded in policies, business processes, supplier and partner requirements, training, and targeted engagement
• Speak Out at 麻豆原创, an independent, multilingual reporting channel available 24/7 to employees and external stakeholders
• Transparent communication through the 麻豆原创 Integrated Report and, its Modern Slavery Statements, and other channels

Across the value chain, 麻豆原创 focuses on its:

• Supply chain, setting clear expectations and contractual requirements to uphold human rights and labor standards, applying responsible sourcing practices, and engaging with selected high-risk suppliers regarding living wages.
• Operations, focusing on ensuring non-discrimination, providing an inclusive, safe, and health-promoting workplace, maintaining fair recruitment and employment practices, and safeguarding confidential channels to raise concerns.
• Products and services, advancing ethical AI by applying the , as well as requiring that every AI use case undergo an AI ethics assessment to help prevent discrimination and ensure alignment with its principles.

鈥淎I unlocks great potential for businesses, governments, and society, but also creates economic, political, and societal challenges depending on how it is used. For that reason, the human rights-centered 麻豆原创 Global AI Ethics policy sets clear ethical standards for developing and applying AI, ensuring we create human-centered solutions that respect people and augment human capabilities.鈥�

Vikram Nagendra, Office of Human Rights and AI Ethics, 麻豆原创

Continuously striving for progress  

Human rights due diligence is a journey of continual improvement. 麻豆原创 regularly reviews the effectiveness of its human rights due diligence system to assess how well salient impacts are addressed.

While mitigation measures in 麻豆原创鈥檚 own operations have proven effective so far, these reviews have also highlighted the need to deepen our understanding of supply chain risks and to strengthen actions specifically aimed at addressing them. As a company, we also recognize the need to make our grievance channel more accessible to value chain workers, a challenge currently addressed through a pilot program.听

To remain transparent and accountable, 麻豆原创 has published a second , alongside the latest Modern Slavery Reports and Human Rights chapter in the .

Looking ahead: Human rights as a shared responsibility  

In a rapidly evolving world, new regulations, emerging technologies, and rising societal expectations raise the bar for responsible business. Running an effective and efficient human rights due diligence system helps 麻豆原创 stay ahead and mitigate legal, operational, and financial risks, while strengthening its reputation and leadership in ethical business practices. This approach builds trust with customers, partners, investors, and other stakeholders.

Most importantly, it empowers 麻豆原创 to uphold and further human rights, a principle reaffirmed on this day.听

鈥淗uman Rights Day 2025 is a moment to celebrate progress, but also to recognize that the journey goes on. With the ambition to foster a just and inclusive economy where people and technology thrive together, 麻豆原创 will continue to engrain human rights into how we operate and innovate鈥�

Matthias Medert, Global Head of Sustainability, 麻豆原创

Paola Eugenio is a member of the Corporate Sustainability team at 麻豆原创.

But don鈥檛 worry! This doesn鈥檛 necessarily mean buying everyone in the world a present. Truly making an impact is an easy thing that can start with the decisions you make, and the can help you there. 

What if the coffee you鈥檙e gifting also encourages seniors to learn new skills and prevent their feeling of isolation? Or the sustainable pullover you find protects a UNESCO heritage skill, embroidered by women who are economically disadvantaged? Would you like to receive handcrafted, artisanal d茅cor, knowing that its purchase sent life-saving supplies to children in need? The 麻豆原创 community holiday gift guide contains more than a hundred gift-giving options that can make these dreams a reality. 

We know it can become difficult to navigate holiday shopping. Thus, the 麻豆原创 community holiday gift guide is a curated list of more than 200 organizations that not only ensure high-quality goods and services but also focus their profits into increasing opportunities in their communities and ecosystems. 

As consumers, we know that our choices carry ripple effects: we buy what we support. By听purchasing听products from these听small听businesses,听you听aid听in their听persistence听and innovation. You听contribute to听麻豆原创鈥檚 mission of accelerating听impact听businesses and听the development of听skills.听You听show that you are a part of a system that values听inclusivity,听sustainability,听补苍诲听morality.听

Peruse and听make听a small decision that goes a long way.听Feel free to share the guide with听your听networks听and inspire them to听consider听the power of impact听businesses, and听use the hashtag #麻豆原创4Good on social media.听

Here鈥檚 to a gift that makes everyone smile鈥攆rom the supplier鈥檚 beneficiaries down to your chosen recipient. With more intentional and sustainable gift giving, we can help the world run better, together. 

Mia Naval and Franziska Holstein are part of the Social Responsibility, Inclusion, & Commmunities Team at 麻豆原创.