This decision will help Haleon operate, scale and serve consumers in new ways by building stronger, more agile foundations for delivering its trusted everyday health products. It marks a significant milestone in Haleon鈥檚 transformation into a world-class consumer company.

鈥淒elivering a better consumer experience starts with strong foundations, and leading digital technology and infrastructure are at the heart of this,鈥� said Claire Dickson, Haleon鈥檚 chief digital and technology officer. 鈥淥ur latest partnership with 麻豆原创 is another important step in our journey to becoming a world-class consumer company. It will revolutionize how we operate, with AI-enabled systems driving faster, simpler, more integrated ways of working. This will allow our people to focus on what matters most鈥攕erving consumers and unlocking growth.鈥�

麻豆原创 Business Suite will drive the simplification and standardization of critical processes across Haleon鈥檚 global operations, enabling more integrated, automated end-to-end processes across diverse parts of the organization.

With clearer visibility across markets and more intuitive systems replacing fragmented workflows, the business can operate with greater speed, consistency and resilience. These improvements strengthen supply chain responsiveness, support innovation and help Haleon better respond to changing consumer needs. This enables Haleon to deliver trusted everyday health products at scale while strengthening collaboration with the healthcare professionals who recommend its products to consumers worldwide.

Haleon can drive greater business efficiencies by integrating core processes across finance, supply chain, HR and sales in one connected system with real-time data. By building AI into everyday work and embedding it within Haleon鈥檚 digital infrastructure and across its functions, teams can make better data-driven decisions and respond more quickly to changing consumer needs. The automation of routine work across multiple functions frees up employees鈥� time so they can focus on more strategic work that delivers value for the business and consumers while accelerating growth.

This digital transformation program builds on a long-standing relationship between the two companies, with the transition from Haleon鈥檚 current platform on 麻豆原创 ERP Central Component beginning later this year.

鈥淎I outcomes depend on connected processes and trusted data,鈥� said Peter Maier, 麻豆原创鈥檚 senior vice president for strategic customer engagements. 鈥淲ith 麻豆原创 Business Suite, Haleon is building an AI-ready foundation that embeds intelligence across the enterprise, helping simplify operations, improve resilience and scale innovation.鈥�

Haleon plans to adopt 麻豆原创 Cloud ERP applications with embedded AI and deploy the 麻豆原创 Business Data Cloud solution to harmonize 麻豆原创 software and third-party data in a governed, single source of truth. This connected platform will be able to support AI-assisted innovation and enable agentic AI, where AI agents can identify issues earlier and recommend actions across key business processes.

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Media Contacts:
Lawrie Benfield, 麻豆原创, +44 7776515259, lawrie.benfield@sap.com, GMT
Sonya Domanski, 麻豆原创, +44 7345465928, sonya.domanski@sap.com, GMT
麻豆原创 麻豆原创 Room; press@sap.com
Gemma Thomas, Haleon, gemma.x.thomas@haleon.com

The agreement referenced in this announcement was signed outside 麻豆原创鈥檚 first quarter reporting period.

Top image courtesy of Haleon

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.

With a diverse portfolio of brands鈥擪ito, Crosby, Harrington, Gunnebo Industries, Peerless, and eepos鈥攖he company has experienced rapid growth, scaling its business from millions to billions in revenue. But the number of acquisitions left the company with a fragmented IT landscape of outdated, unsupported, and unscalable systems.

To establish a unified digital core and standardize processes, Kito Crosby embarked on a journey, implementing 麻豆原创 S/4HANA Cloud Private Edition to achieve its long-term single global instance strategy.

A winning strategy

Kito Crosby chose a greenfield, clean core strategy to eliminate the existing fragmentation and enable long-term scalability, Johnson Lai, Chief Digital Transformation Officer and Chief Information Officer, . 鈥淚n the past, we did not integrate our ERP systems, and this left our IT landscape very fragmented and limited our business process capabilities,鈥� he said. 鈥淭herefore, we wanted to refresh all of our ERP systems and really lay down a greenfield start that we can begin to create a transformational change for the entire company.鈥�

Selecting a greenfield and clean core approach鈥攂asically standing up an entirely new system that prioritizes standard functionalities over customizations鈥攚as key to remedying Kito Crosby鈥檚 current technology landscape, so that processes like order to cash, accounting, manufacturing, and shipping could be integrated. This approach also allowed the company to take a close look at core processes and streamline operations, especially in warehouse management and S&OP, Lai said.

Considering the project scope, Kito Crosby did not have the internal talent needed to stand up the servers and infrastructure, so it decided to move forward with RISE with 麻豆原创 and . 鈥溌槎乖� comes with a lot of great stuff, and we wanted to take advantage of that,鈥� Lai said.

The company began the transformation in North America, as that is its largest market and therefore posed the greatest risk in operating on a legacy, unsupported ERP system.

Never underestimate change management

While Lai shared that employees were motivated and excited to get started initially, the enormity of the project quickly became overwhelming.

Ironically, many wanted to customize the new 麻豆原创 S/4HANA Cloud Private Edition solution to act like the legacy tech. 鈥淓veryone agrees to the clean core approach until it鈥檚 their turn to look at their function, at which point they want customization. There was a piece of resistance to using 鈥榲anilla鈥� functionality,鈥� Lai said. 鈥淥nce we showed people live demos with their own data, that鈥檚 when the change resistance started to decrease,鈥� he added.

In IT specifically, there was a strong desire to build and run their own infrastructure and servers rather than have another company step in. A sense of ownership and accountability is important, Lai said, but ultimately Kito Crosby鈥檚 need to get off the legacy system in North America quickly made it necessary to partner with 麻豆原创. And it was the right move: 鈥淣ow some of the folks who questioned why we outsourced some of that to 麻豆原创 are our biggest champions鈥e find working with the 麻豆原创 team is no different than working with ourselves.鈥�

For companies with digital transformation projects on the horizon, Lai cautions to 鈥渘ever underestimate the change impact that employees face.鈥� Projects of a global scale require planning on all fronts, including allocating time for employees and business leaders to get on board.

Lessons learned and benefits gained

The ERP system revamp delivered measurable business value to Kito Crosby, including improved customer service, stronger inventory control, and more efficient manufacturing and warehouse operations. Notably, the business process improvements and enhanced system functionality drove Kito Crosby鈥檚 on-time delivery to its highest levels in more than 10 years.

鈥淲e see that benefit across the globe and we鈥檙e excited about taking what we鈥檝e done in North America throughout the entire world, consolidating all those little ERPs that are outdated and unsupported into 麻豆原创 to get to that single global instance,鈥� Lai said. Since going live on 麻豆原创 S/4HANA Cloud Private Edition and fully embracing its native capabilities, Kito Crosby has unlocked measurable business value and operational excellence. The transformation has driven strong performance gains across critical KPIs, including higher customer on鈥憈ime delivery, meaningful reductions in back orders, improved inventory accuracy, and accelerated intercompany processing.

At the same time, warehouse operations are setting new benchmarks for efficiency, achieving record volumes for receiving and put鈥慳way, replenishment, and shipping. These results have been delivered safely, with zero injuries and fewer resources.

To the cloud鈥攁nd beyond

Following its recent acquisition by leading worldwide designer, manufacturer, and marketer of intelligent motion solutions , Kito Crosby is continuing to build on its strong digital foundation.

鈥淏ecause we started with a greenfield and kept a clean core as much as possible, we feel like the upgrades will go even faster and with less effort,鈥� Lai said. 鈥淲e want to get to the latest [麻豆原创 S/4HANA Cloud Private Edition] version so we can take advantage of the AI capabilities of .鈥�

Next on the ERP systems consolidation docket: the 麻豆原创 ERP Central Component (麻豆原创 ECC) 6.0 system in Europe.

鈥淭his is just one example of how our IT team is empowering the broader organization to further delight our customers and end user,鈥� Lai . 鈥淎s we continue to scale our business, we expect even greater returns as we further capitalize on the technology, expanded capabilities, and AI tools within our 麻豆原创 landscape.鈥�

Gillian Hixson is an integrated communications specialist at 麻豆原创.

A modern foundation for growth at global scale 

In an era defined by global volatility and ambitious growth targets, businesses require a system that doesn’t just record data but actively anticipates needs and simplifies complexity. 麻豆原创 Cloud ERP Private is evolving into a truly AI-enabled ERP, serving as the critical core foundation that can allow organizations to navigate the realities of global operations while maintaining total control over their footprint. 

To achieve this, innovations in FPS01 are strategically delivered across three key dimensions: AI, data, and applications. 

AI in action: from assistants to agents 

The shift toward an AI-enabled ERP is highlighted by two key advancements in FPS01: 

1. AI assistants and specialized agents: A standout in this release is the Change Record Management Agent for R&D. Previously a manual, high-friction process, this agent can now autonomously analyze change impacts and propose next steps, helping to free R&D teams to focus on innovation. 
2. Process embedded AI: 麻豆原创 is making the system more intuitive through Joule. Instead of navigating complex menus, users can now use conversational shortcuts, for example, to instantly search service contracts or extend expiring prices in sales, turning multi-minute tasks into five-second interactions. 

Looking at the road ahead, 麻豆原创 is building toward agent-to-agent collaboration, where specialized agents across functions like R&D and procurement “talk” to one another to resolve bottlenecks before they even reach a human user. FPS01 is a critical step toward that future. 

Data: industry-ready insights 

On the data front, 麻豆原创 is introducing specialized data products for key industries, like retail, and functional areas, such as asset management and services. These are not just tables; they are pre-configured, business-ready data sets that align with our 麻豆原创 Business Data Cloud (麻豆原创 BDC) roadmap. This helps ensure your data is “AI-ready,” allowing you to move from raw data to industry-specific insights with zero friction. 

Application: strengthening the global core 

On the application side, 麻豆原创 continues to deliver deep functional enhancements based on direct customer feedback to help ensure your business backbone remains agile. A key highlight is the new Multistage Intercompany Sales and Stock Transfer. Following our commitment at the RISE with 麻豆原创 moment in November, 麻豆原创 is further expanding the scope to cover two-entity transfers, enabling automated orchestration across multiple legal entities. This can ensure even the most complex global supply chains remain transparent and compliant. 

A full collection of deep-dive articles on the new FPS01 is available on . 

Looking ahead: your catalyst for transformation 

FPS01 reflects a core 麻豆原创 principle: innovation should be both a foundation for today and a catalyst for what鈥檚 next. With enterprise AI, industry-ready data, and a stronger application core, organizations can run smarter and transform at their own pace. 

To see these innovations in person, to experience the future of the autonomous enterprise. 

Maura Hameroff is chief marketing officer for 麻豆原创 Cloud ERP Private and RISE with 麻豆原创.

Germany鈥檚 most successful football club and one of the world鈥檚 leading professional sports organizations, FC Bayern has strengthened its long-term partnership with 麻豆原创 by choosing RISE with 麻豆原创 to transition to 麻豆原创 Cloud ERP Private solutions, the digital core of 麻豆原创 Business Suite. This complements the club鈥檚 existing array of cloud solutions. These include 麻豆原创 SuccessFactors, 麻豆原创 Emarsys, 麻豆原创 Concur, 麻豆原创 Analytics Cloud, 麻豆原创 Datasphere, and 麻豆原创 Sports One solutions as well as 麻豆原创 Business Technology Platform (麻豆原创 BTP), 麻豆原创 HANA Cloud and 麻豆原创 Event Ticketing software.

RISE with 麻豆原创 helps position the club to be future ready by unlocking continuous innovation, real-time analytics and AI-enabled insights. The new cloud environment enhances financial management, accelerates merchandise fulfilment and optimizes partner management to help ensure smoother logistics for kits, facilities and the supply chain. Today, more than 9.5 million fan and member data records and more than 25,000 product master data records are managed in 麻豆原创 Cloud ERP applications, providing a unified foundation for fan engagement, merchandising and operational excellence.

Cloud manages match-day peaks

By moving to the cloud, FC Bayern gains faster time to value and elastic scalability to help manage match-day traffic peaks while simplifying IT operations through a unified data platform. The transition also enables a predictable operating expense model, with 麻豆原创-managed security and compliance significantly reducing the club鈥檚 operational burden.

鈥淔C Bayern demonstrates how organizations can leverage the cloud solutions in 麻豆原创 Business Suite to drive innovation and growth,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淭hrough RISE with 麻豆原创, the club now benefits from continuous updates, integrated analytics and AI capabilities that enhance fan experiences and strengthen operational agility.鈥�

麻豆原创 Cloud ERP Private offers continuous 麻豆原创-driven innovation and integration with services on 麻豆原创 BTP, including advanced analytics, machine learning and process integration. The solutions are hosted in certified data centers with disaster-recovery capabilities, centralized security updates and monitoring, a 99.9% service-level agreement and European Union (EU) data-residency options. This supports compliance with standards such as those of the International Organization for Standardization and the EU鈥檚 General Data Protection Regulation.

The move from a self-hosted model was completed only after rigorous assurance, governance and security measures were taken in compliance with FC Bayern鈥檚 strict operational and privacy requirements.

Putting FC Bayern at the forefront of digital innovation

鈥淥ur partnership with 麻豆原创 ensures that FC Bayern remains at the forefront of digital innovation. By moving to the cloud, we can scale fan engagement, optimize player performance analytics and streamline commercial operations across all global hubs,鈥� said Jan-Christian Dreesen, CEO of FC Bayern M眉nchen AG.

The new environment supports a clean-core approach to cloud ERP and provides a clear road map for adopting current and future 麻豆原创 software innovations including the Joule and 麻豆原创 Green Ledger solutions and additional AI-supported capabilities. This enables FC Bayern to scale fan engagement, player performance analytics, commercial operations, and HR and finance processes more efficiently and sustainably.

Visit the聽. Get 麻豆原创 news via聽 and .

Top image via FC Bayern Media Library

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 2024 Annual Report on Form 20-F.
漏 2026 麻豆原创 SE. All rights reserved.
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Headquartered in Nuuk and 100% owned by the Government of Greenland, Royal Greenland is modernizing its 麻豆原创 platform and moving from on premise to cloud ERP in order to future鈥憄roof core processes and unlock embedded AI across its 麻豆原创 business applications.

鈥淲e are moving from our existing setup to 麻豆原创 Cloud ERP and 麻豆原创 Business Data Cloud because we want access to the capabilities you can consume on a cloud platform,鈥� said Lars Bo Hassinggaard, CIO at Royal Greenland for more than 25 years.

The company brings high鈥憅uality wild鈥慶aught fish and shellfish from the North Atlantic and Arctic Ocean to consumers worldwide. It has been running 麻豆原创 since 1998 but is now embarking on its most significant transition to date: migrating 麻豆原创 ERP Central Component to 麻豆原创 Cloud ERP while simultaneously elevating its business intelligence (BI) landscape into 麻豆原创 Business Data Cloud and later transforming BI into 麻豆原创 Datasphere.

The project follows the structured RISE with 麻豆原创 framework, which consolidates platform transformation, operations, and the innovation cycle into one contract.

Lean, selective data transition: 90% fewer data to move

As part of the migration, Royal Greenland is reducing its data volume significantly using the 鈥淟ean Selective Data Transition鈥� method.

鈥淲e are keeping 10 years of data and cleaning up, so we avoid outdated company codes and historical data that no longer create value,鈥� Hassinggaard explained. 鈥淲e鈥檝e achieved a 90% reduction in what needs to be stored and migrated. The method combines data analysis, scoping, and standardized mapping objects in a guided process, ensuring that Royal Greenland only carries forward what is truly necessary, making the financials of the transformation more predictable and avoiding unnecessary complexity.鈥�

Technology first, innovation next

Go鈥憀ive is planned for March 1, 2027. The year 2026 is dedicated to the platform lift itself. From 2027, Royal Greenland will begin building business鈥慸riven improvements on top of the standardized core鈥攆or example, new user interfaces and process optimization using small AI agents within finance and administration.

鈥淩oyal Greenland and 麻豆原创 have worked together since 1998, and we look forward to getting started on the technical part of the platform uplift this January,鈥� Hassinggaard shared. 鈥淲e鈥檙e keeping the transformation as simple as possible for now and will use 2027 to activate the benefits, such as improved data analysis, better user experience, and more efficient work processes.鈥�

Royal Greenland is following a classic waterfall approach and has already established a 鈥済olden shell鈥� as the basis for further configuration and retrofitting.

麻豆原创 is responsible for implementing the cloud solution, which will run on Microsoft Azure, initially in Sweden, with the option to move later to a Danish data center. External advisor Spektra Analytics has supported contract validation.

From in鈥慼ouse experiments to standardized, 鈥渃onsumed鈥� AI

Although Royal Greenland has already successfully experimented with its own AI solutions, including vision鈥慴ased projects in production, the strategic direction ahead is to leverage embedded, standardized AI data products from 麻豆原创 and models built on the 麻豆原创 Business Data Cloud and its semantic data layer.

鈥淲e are a company that prefers to tap into existing AI solutions rather than invent them ourselves,鈥� Hassinggaard said. 鈥淚t鈥檚 far more efficient for us. There is no reason for us to spend resources reinventing what 麻豆原创 already provides. The initial focus will be on process optimization within administrative functions such as finance鈥攕mall AI agents that can streamline daily work.鈥�

Advice to others: Allocate more time, and understand your method

Hassinggaard is clear that the RISE with 麻豆原创 contract, methodology, and preparation work require time and organizational maturity. His advice to other companies facing a similar cloud ERP decision: 鈥淒o it thoroughly鈥攁nd allocate more time than you think. Study the methodology, pricing, and contracts. And bring a competent advisor on board.鈥�

Ellen Vig Nelausen is an integrated communications expert for 麻豆原创 Regional Communications.

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Naturipe Farms knows berries, and the grower鈥憃wned company has spent decades perfecting the art of delivering fresh, sustainably grown berries to customers around the world.

Naturipe’s Senior IT Director Carol McMillan explains how migrating to 麻豆原创 S/4HANA and has helped the company improve supply chain visibility, speed, and workforce experience. Learn more.

Naturipe has been an 麻豆原创 customer since 2008, and while initially it was not very proactive with software upgrades, the company鈥檚 philosophy has changed over time. Today, Carol McMillan, Naturipe鈥檚 senior IT director, emphasizes the importance of upgrading and upskilling the team regularly.

“There’s actually more of a risk not upgrading the product and not upskilling your team than there is being more aggressive with that timeline,” she says. Since migrating to 麻豆原创 S/4HANA in 2018, the company has undergone three upgrades, including .

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鈥淲e migrated to RISE with 麻豆原创, and we are looking at how we use those tools to optimize our supply chain and to create a better user experience for our workforce. Our workforce is constantly changing, and technology needs to change with the workforce,鈥� McMillan says.

She says it鈥檚 also important to stay at the forefront of technology in order to solve business problems efficiently, and notes that technological advancements have been crucial in managing the company’s exponential growth: “You can’t have linear growth in technology when you have exponential industry growth.”

McMillan says the Naturipe team uses 麻豆原创鈥檚 technology to prioritize its people and customers, improve workplace happiness, and give users a better experience. 鈥淲e use technology to make sure that we’re running as optimally as possible,鈥� she says. 鈥淲e look at process improvements and try to be at the forefront of technology. So, keeping up with the upgrades on a regular basis helps us be prepared for when business problems need to be solved, that way we already have the technology there to be able to solve them.鈥�

Delivering the freshest, highest-quality products to customers 365 days a year requires constant agility鈥攅specially in a category influenced by weather variability and the complexity of a highly time-sensitive supply chain. 鈥淏erries have a very short shelf life, so getting the best quality to our customers as quickly as possible is essential,鈥� she says.

To support this commitment, Naturipe Farms has invested in advanced logistics and supply chain technologies that enhance speed, visibility, and decision-making. These investments help ensure timely delivery of fresh products while also supporting employee satisfaction and work-life balance through wellness programs and flexible work arrangements.

Looking ahead, Naturipe wants to further enhance the user experience with more powerful tools and learn how to make better use of all the tools that come with RISE with 麻豆原创.  McMillan also identifies the potential of AI and the adoption of tools like Joule to improve Naturipe鈥檚 operations. “We really want to make the best use of AI and to give our users the best experience possible,” she says.

Her advice for other organizations in the agricultural industry includes the importance of putting people first, using technology to drive strategic growth, and not being a prisoner to risk. “It’s just as risky to not upgrade your technology as it is to have an aggressive timeline and have the tools that you need in order to drive that exponential growth,” she says.

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

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

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

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

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

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

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

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

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

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

The partnership will embed artificial intelligence at the core of Syngenta鈥檚 enterprise, modernizing operations and enabling accelerated innovation through advanced data analytics across the business 鈥� from manufacturing and supply chain to grower-facing products and services.

The agricultural industry continues to navigate challenges driven by climate variability, supply chain complexity and global uncertainty. By deploying AI-assisted tools enterprise wide, this partnership positions Syngenta to meet the challenge of feeding a projected 10 billion people by 2050 while unlocking faster innovation, stronger operational resilience and scalable impact across the business.

鈥淎I is the catalyst for agricultural transformation and has quickly become a core competitive edge for Syngenta,鈥� said Feroz Sheikh, chief information and digital officer at Syngenta Group. 鈥淥ur partnership with 麻豆原创 is transforming how we run the enterprise, modernizing core operations and unlocking new ways to work 鈥� a testament to our commitment to becoming an agriculture company with AI at its core.鈥�

鈥淪yngenta鈥檚 transformation sets a benchmark for digital innovation in agriculture,鈥� said Philipp Herzig, chief technology officer at 麻豆原创 SE. 鈥淭ogether, we鈥檙e demonstrating how cloud and AI technologies can drive sustainable growth and efficiency in one of the world鈥檚 most critical industries. This partnership will help Syngenta future-proof its operations to feed the world responsibly.鈥�

Scaling an AI-First Operating Model for Agriculture

Syngenta鈥檚 transformation will begin with鈥槎乖� Cloud ERP Private solutions, modernizing core operations across the value chain to deliver agility, resilience and scalability. The company鈥檚 ambition is clear: unlock innovation faster, strengthen its leadership in agriculture and future-proof operations against volatility.

Through the 麻豆原创 Business Data Cloud solution, Syngenta will create a unified, more secure and scalable data foundation essential for real-time decision-making and AI integration. Combined with 麻豆原创 Business AI and AI-assisted tools such as the Joule copilot, this will help the company explore smarter, faster decisions that drive operational efficiency and accelerate innovation. Additionally, Syngenta will be able to deliver better products and services to growers worldwide while enabling them to retain control and privacy over their proprietary information.

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Media contacts:
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麻豆原创 麻豆原创 Room; press@sap.com
Syngenta Media Relations, media@syngentagroup.com

Top image courtesy of Syngenta

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 for additional trademark information and notices.

Heartland Dental is the largest dental support organization in the United States, with over 3,000 supported doctors in more than 1,900 supported practices across 39 states and Washington, D.C. But beyond numbers, what sets Heartland apart is its tight knit community and people culture. As Jerome shared, “The first thing I associate with Heartland is community; we鈥檙e doctor-led. In our support role, we don鈥檛 tell dentists how to practice. Our role is to make their lives easier鈥攅nabling dentists to concentrate on patient care.”

Making lives easier is a vision Heartland shares not only for its supported dentists but for its own operations. The company’s digital journey began “backwards” starting in 2018 with 麻豆原创 Business Technology Platform (麻豆原创 BTP), instead of with ERP, to resolve disparate data from all over. Once 麻豆原创 BTP was established and adopted by the organization, it then began to incorporate .

What makes this journey truly stand out is how Heartland is using technology to serve people, supported through seamless integration with tools like 麻豆原创 Concur solutions, embedded聽AI鈥攕uch as smart invoice management鈥攁nd embedded analytics. These features are freeing up time and resources so teams can focus on what matters most: supporting doctors and improving patient care.

The team has rolled out聽麻豆原创 Build Work Zone across its supported practices and is investing in聽AI tools like 聽to help employees access information faster, automate repetitive tasks, and focus on what really matters鈥攑atient care and experiences. Jerome explained, “Just like we take the administrative burden off our supported doctors, 麻豆原创 takes the tech burden off us, so we can focus on supporting doctors and their teams.鈥�

Heartland’s next big milestone is going live with 麻豆原创 S/4HANA Cloud Public Edition聽and taking AI a step further to automation.

Heartland Dental鈥檚 story shows that with the strategic adoption of technological innovations, it鈥檚 possible to build a future-ready healthcare support organization grounded in people and purpose.

Chris Putvinski is a communications specialist at 麻豆原创.

鈥�Beyond Tech 鈥� Expanding Perspectives鈥� is about their stories. With this series, I hope to provide a glimpse into the inspiring minds I encounter, capturing their ideas to spark insight and innovation.

For the , I had the privilege of speaking with Nisha Bakker, director of Partnerships at The Ocean Cleanup, an organization proving that, with the right vision, evidence, and engineering, we can solve global challenges at scale.

Plastic is one of humanity鈥檚 greatest inventions and one of its most persistent problems. Durable, cheap, and versatile, it has transformed food security, medicine, logistics, and manufacturing. But that same durability means most of the plastic ever produced still exists today. And much of it has ended up where it shouldn鈥檛: in our rivers, our oceans, our ecosystems鈥攅ven our bodies.

Today, the world produces . Production is still rising, projected to grow 66 percent by 2040, even as waste management systems are overwhelmed. Only nine percent of plastic is recycled globally. A third is mismanaged, left to leak into the environment through open dumping, unregulated landfills, and littering. As a result, have accumulated in rivers and lakes, far more than the 30 million tons in the oceans themselves.

Rivers are the main conveyor belt carrying waste to the sea. In 2020 alone, 1.4 million tons of plastic flowed from rivers into the ocean. Without intervention, this will more than double by 2060. Just a thousand rivers account for 80 percent of this flow, largely in rapidly developing economies where growth, urbanization, and weak waste systems collide.

This is where has focused its mission. The organization aims to rid the world鈥檚 oceans of plastic through a comprehensive strategy that includes removing legacy plastic accumulated in the ocean and along coastlines while also stopping new plastic pollution from entering the marine environment. Their ambition is bold and unambiguous: to put themselves out of business by 2040.

Data, vision the difference in cleanup efforts

During our conversation, Nisha explained how the work is driven not only by passion, but by evidence. 鈥淵ou could look at a river, see the problem, and start removing plastic immediately,鈥� she said. 鈥淏ut we first determine the best place to remove it, and then build the entire value chain around it鈥攊ncluding recycling, operators, permits, and long-term partners. Data is what sets us apart.鈥�

Behind every cleanup is an enormous amount of engineering and analysis. The Ocean Cleanup鈥檚 teams map political, economic, and social dynamics in each country with an affected river system. They deploy trackers to understand how fast plastic moves, where it gets stuck, and how seasonal changes from monsoons to dry months affect pollution flows. Cameras equipped with detection algorithms help quantify volumes and patterns. Modelling and simulations guide where to deploy Interceptor systems and how to scale them.

This foundation of data explains their success: more than 46 million kilograms of waste intercepted and removed from marine and freshwater environments, thanks to System 03, their towed ocean technology spanning over 2.2 kilometers, which can clean an area the size of a football field in five seconds; and over 20 Interceptor systems deployed across the world鈥檚 most polluted rivers. The organization recently unveiled plans to tackle up to a third of all plastic emissions from rivers through its 30 Cities Program, targeting urban centers with important waterways and major pollution problems.

But as Nisha stressed, cleanup is only one part of the solution. 鈥淲e鈥檙e buying time for systemic change,鈥� she told me. 鈥淯ltimately you need governments, producers, recyclers, and communities working together.鈥�

There are signs of progress: more than 90 countries now have plastic bag bans; extended producer responsibility regulations are expanding; and negotiations toward a global plastics treaty have brought unprecedented international attention to the issue despite agreement remaining elusive.

The importance of systems

What struck me most in our discussion was the philosophy that drives The Ocean Cleanup. With employees from 40 nationalities, they are building bridges across sectors, disciplines, and geographies. They are proving what is possible when a global movement is anchored in evidence-based design and relentless experimentation.

At 麻豆原创, we recognize this mindset. Helping the world run better and improving people鈥檚 lives requires more than intention; it requires agile systems capable of putting insights at the fingertips of business. That鈥檚 why The Ocean Cleanup relies on 麻豆原创 to deliver on its mission. Every hour they spend building business systems is an hour not spent developing ocean systems, river systems, or new engineering solutions. Our role is to provide a stable, integrated digital foundation so they can focus on innovation, not administration. Technology should accelerate impact and enable scale, not get in the way of it.

The same is true for every organization. Whether fighting pollution, reimagining supply chains, or transforming business models, the biggest breakthroughs happen when you combine purpose with technology that can support it. Clean, connected data, intelligent processes, and applications that automate what can be automated so people can focus on what matters most: This is why 麻豆原创 is more relevant than ever.

The Ocean Cleanup shows what is possible when bold ideas meet the right technology and the right partnerships. This is exactly the type of conversation I look forward to bringing you through Beyond Tech 鈥� Expanding Perspectives, stories of inspiring minds that demonstrate that the future is not something we predict, but something we build together.

Manos Raptopoulos is global president of Customer Success, Europe, APAC, Middle East & Africa, and a member of the Extended Board at 麻豆原创.

To navigate AI鈥檚 evolution, organizations need to understand that it鈥檚 no longer just a question of “What can AI do?” but “How do we set our organization up for success with AI? How do we build for it? What problems do I solve with which models? How do we govern it?”

Looking ahead to five critical themes that will define enterprise AI in 2026, these present both opportunities and challenges for organizations. Let’s dive in.

1. New categories of AI foundation models unlock enterprise value

Advances in generative AI stem from breakthroughs in 鈥渇oundation models,鈥� massive neural networks trained on vast amounts of data that can be adapted to a wide range of tasks.

Large language models (LLMs) were the first wave of foundation models at scale. General-purpose LLMs, trained on the equivalent of all the text on the internet, opened the door to many value-adding use cases, including summarizing documents, writing code, and powering applications like ChatGPT and Claude. Over the last few years, we have already seen the foundation model approach applied to other domains, such as video creation and voice.

In 2026, specialized foundation models optimized for specific data types and domains will power the high-value enterprise AI use cases. Video generation models have already shown that models grounded in real-world physics data can reason about scenes and physical dynamics. Emerging world models demonstrate that simulating the physical world unlocks new possibilities in simulation, synthetic training data, and digital twins. Vision-language-action models demonstrate that robot-specific foundation models can generalize to new tasks and environments, enabling the transformation of web-scale knowledge into real-world actions in logistics and manufacturing.

In the enterprise domain, a similar shift is underway for structured data found in databases and transactional business software. While LLMs are impressive across many enterprise use cases, they cannot handle tasks like numerical predictions, such as inferring a delivery date or supplier risk score. However, work on relational foundation models shows that training on structured datasets鈥攆or example, data in tables, rather than generic text or images from the internet鈥攃an deliver high predictive accuracy without the tedious feature engineering and training required in classical machine learning. This means organizations can deploy predictive models in days, not months. Recent launches of relational foundation models, such as 麻豆原创-RPT-1, Kumo, and DistilLabs, highlight how new models can directly support use cases like forecasting, anomaly detection, and optimization across ERP, finance, manufacturing, and supply chain scenarios.

In 2026, these specialized models are expected to scale to deliver superior performance and economics for structured business tasks, surpassing general-purpose LLMs and state-of-the-art machine learning algorithms. These models will emerge as the workhorses behind high-value enterprise tasks.

2. Software evolves toward AI-native architecture

AI has seen various approaches create value over the decades, from the first rules-based expert systems to probabilistic deep learning and the recent explosion in generative AI. In 2026, organizations will shift from enhancing existing AI applications and processes to AI-native architectures, which will fully realize the promise of modern AI.

AI-native architecture adds a continuously learning, agentic intelligence layer on top of deterministic systems, enabling applications to become intent-driven, context-aware, and self-improving rather than being statically coded around fixed workflows. Agentic systems will still only be as good as the context layer they can reliably retrieve and ground on. Here, organizations should invest in truly comprehensive, semantically rich knowledge graphs that provide a scalable source of context, making AI-native software dependable and self-improving.

Enterprise applications will increasingly be built natively around AI capabilities, featuring user experiences designed for multi-model, natural language interaction; AI agents reasoning through complex processes; and a foundation managing foundation models, services, and a knowledge graph capturing semantically rich business data.聽AI-native architecture also enables more employees to create apps鈥攕uch as smaller, ad-hoc productivity applications鈥攊n a matter of minutes without straining IT.聽

AI-native architecture builds on, and even requires, established SaaS principles and investments in modern cloud applications. The technical term for combining probabilistic, adaptive AI models with deterministic systems of record is called neurosymbolic AI. It brings together AI鈥檚 best capabilities to adapt with reliable, governable, and deterministic processes. Next-gen applications will not just have AI bolted on; they鈥檒l be built around AI at their core. This means combining reasoning, business rules, and data to deliver insights and automation seamlessly. Imagine ERP systems that proactively flag anomalies, recommend actions, and even execute workflows autonomously鈥攁ll while staying aligned with company policies and regulations.

3. Agentic governance becomes mission-critical

Over the past two to three years, generative AI has introduced a wave of value-added use cases. These use cases were largely based on users sending a prompt to a model, receiving a response, and then interacting with the model again.

Last year saw the start of the next wave of innovation: AI agents capable of planning and iteratively reasoning through multi-step tasks, including selecting tools, self-reflecting on progress, and collaborating with other AI agents. These advanced AI agents promise to tackle complex business processes that were previously immune to automation, such as analyzing myriad documents, records, and policies to or .

However, the proliferation of AI agents, many of which handle critical tasks and sensitive data, demands the development of new capabilities. Agentic governance will emerge as a critical capability as organizations deploy hundreds of specialized AI agents. The “agent sprawl” challenge will mirror previous shadow IT crises, but with higher stakes given agents’ autonomous decision-making capabilities.

Forward-thinking enterprises will establish comprehensive governance frameworks addressing five dimensions: agent lifecycle management (version control, testing protocols, deployment approval, retirement procedures); observability and auditability (agent inventory, logging, reasoning paths, and action traces); policy enforcement (embedding business rules, regulatory constraints, and ethical guidelines into agent execution); human-agent collaboration models (defining autonomy boundaries, approval requirements, and escalation pathways); and performance monitoring (tracking accuracy, efficiency, cost, and business impact).

The organizational shift will prove profound鈥攆rom viewing AI as an independent tool to managing agents as digital coworkers requiring onboarding, performance reviews, and continuous improvement. HR and IT functions will collaborate on “digital workforce management” as organizations treat agentic governance as seriously as they do traditional workforce oversight.

4. Intent-driven ERP and generative UI emerge as a new user experience

Consumers are becoming increasingly familiar with computer interactions requiring prompts in natural language, voice, and even images and gestures. At the same time, generative AI鈥檚 ability to create text, graphs, code, and HTML on the fly is improving rapidly. In parallel, AI agents enable users to simply express their intentions, allowing the agent to determine how to work toward achieving that goal.

These advancements open the door to varied and entirely new modalities for users to work with enterprise software, as well as 鈥渘o-app ERP鈥� experiences. For example, to book a customer visit, a worker typically needs to open an analytics application to review the account, look in the CRM system to retrieve the customer鈥檚 address, and then navigate to another application to book travel, among other tasks. 

In 2026, we will see 鈥済en UI鈥� experiences increasingly surface via digital assistants, relieving users from the need to navigate between multiple applications and perform manual tasks. With time, AI will allow the user to simply express the intent: 鈥淧repare a trip to my customer with the most leads.鈥� From here, an AI agent will plan out the steps and required systems, interacting with the user to confirm travel details while dynamically generating analytical graphs and briefing material in the window. As AI agents develop stronger calculation and prediction tools, users will be able to “speak to their data” more naturally, with agents making data-based decisions in the background. To be clear, interactions with agents will extend far beyond a chat box; organizations will enjoy rich visualizations, complete workflows, and the ability to build hyper-personalized apps with just a few commands.

The user interface will not disappear. No-app ERP experiences and autonomous agents require the same foundational substrate that humans rely on for their daily work: structured workflows, security, governance, and business logic defined in business applications. The difference is that agents consume these primitives programmatically at scale, not only through a GUI, and humans can interact with these agents via natural language without ever needing to open the application.

These capabilities will usher in a new paradigm for human-AI collaboration and productivity in the workplace. Personalized experiences and adaptive workflows across applications and data sources will lower adoption barriers. This ability to focus solely on achieving a user鈥檚 intention, regardless of the interaction modality and underlying systems, will drive return on investment (ROI) in AI and enterprise software.

5. Deglobalization drives sovereign AI offerings

AI sparked debates about digital sovereignty among nations due to AI鈥檚 potential impact on everything from scientific discovery and national security to economic productivity and even culture. Events in geopolitics, such as supply chain disruptions caused by tariffs and war, have only intensified the urgency that many nations and organizations feel to become digitally sovereign.

Digital sovereignty has two broad definitions. First, digital sovereignty is an information security designation governing data storage and access, such as U.S. FedRAMP and German VSA, required to process sensitive governmental data in a 鈥渟overeign cloud.鈥� Second, and more broadly, sovereignty refers to the provenance of physical assets, intellectual property, legal jurisdiction, and services along the cloud stack. For example, does an application utilize an AI model created in Europe, the U.S., or China, and is the data center geographically isolated?聽

The high stakes, geopolitical uncertainty, and complexity of 鈥渟overeign AI鈥� will lead enterprises to increasingly demand AI and cloud solutions that are simultaneously cutting-edge, flexible, and fully sovereign. This intensifies the shift from globalized one-size-fits-all cloud to regionally compliant, AI-powered enterprise platforms. At the same time, governments will continue to refine their national AI strategies to invest in areas along the stack where they can compete and create value.

Executing on the 2026 AI themes

In 2026, AI is poised to move from a supporting tool to a fundamental pillar of the enterprise. This shift is driven by a convergence of defining trends鈥攊ncluding increasingly capable agents, generative UI, and AI-native architecture鈥攖hat push AI from the application layer and into the very core of business operations.

Organizations that thrive will be those that recognize this shift and build an enterprise that is purpose-built for AI: establishing robust governance to manage a new, collaborative workforce of humans and AI agents; embracing gen UI to lower adoption barriers and an intent-driven user experience that helps employees interact naturally; seeking out specialized foundation models that are precisely tuned for enterprise use cases to drive business value; and, finally, building applications natively around AI that combine reasoning, business rules, and data, delivering proactive insights and automation.

However, in 2026, organizations will still need high-quality, connected data. Data siloes severely limit the effectiveness of AI. As mentioned, AI-native architecture requires established investments in modern cloud applications that harmonize data across the entire business鈥攂ecause unified data means AI鈥檚 outcomes are more accurate and relevant.

Jonathan von Rueden is chief AI officer at 麻豆原创 SE.
Walter Sun is senior vice president and global head of AI for 麻豆原创 Business AI at 麻豆原创.
Sean Kask is vice president and head of AI Strategy for 麻豆原创 Business AI at 麻豆原创.

NEW YORK 鈥� (NYSE: 麻豆原创) today announced a new generation of AI-enhanced retail innovations at NRF 2026: Retail鈥檚 Big Show.

麻豆原创 continues to infuse AI into the DNA of every part of its retail solutions, reinforcing its suite-first strategy and helping retailers operate with greater intelligence, resilience and trust while delivering better experiences for customers everywhere.

鈥淩etailers face a landscape where AI is no longer optional,鈥� said Balaji Balasubramanian, President and Chief Product Officer for Customer Experience and Consumer Industries, 麻豆原创 SE. 鈥溌槎乖� provides one closed-loop, AI-enhanced retail operating system that ties planning, execution and engagement together. We put data and AI at the heart of retail, delivering speed, personalization and growth across every channel and segment.鈥�

AI that turns retail data into actionable intelligence

The Retail Intelligence solution in provides accurate demand and inventory planning, leveraging retailers’ data from across 麻豆原创 software and third-party systems to drive profitable growth through actionable, real-time insights. Purpose-built for retailers and direct-to-consumer businesses, it will be generally available in the first half of 2026.

Harmonizing real-time data from sales, inventory, customers and suppliers, Retail Intelligence uses AI-generated simulations so planners can anticipate outcomes and optimize inventory. This improves forecast accuracy, reduces manual planning effort, lowers inventory costs and raises service levels. All this drives more seamless omnichannel engagements, which strengthen customer loyalty and enable growth without adding complexity for retailers.

鈥淩etailers are seeking built-in, embedded AI solutions to help balance daily operations, future planning and agility to manage a dynamic market,鈥� said Ananda Chakravarty, Vice President of IDC Retail Insights. 鈥淲hat sets 麻豆原创 apart is the holistic nature of its approach, offering an agentic operating system that works in the background, connects data and orchestrates agents. 麻豆原创 makes it an easy lift for retailers to achieve enterprise-wide intelligence, avoiding the complexity of many point solutions.鈥�

AI that streamlines modern retail operations

Retailers must make fast, confident decisions across assortments, pricing and planning. To meet that need, 麻豆原创 announced new AI-assisted assortment management capabilities, allowing planners to create, modify or retire assortments using natural language through the Joule copilot. This reduces the bottleneck on expert users, enabling faster responses to market shifts and freeing time for higher-value merchandising decisions.

麻豆原创 also introduced omnichannel sales promotions in sales orders, integrating the 麻豆原创 Omnichannel Promotion Pricing solution with the 麻豆原创 S/4HANA Cloud Public Edition, retail, fashion and vertical business solution. This enables advanced promotions such as bonus buys to be applied consistently across diverse channels, enabling a single source of truth for pricing and promotions in store and online, so retailers can deliver a consistent experience.

In addition, 麻豆原创 is delivering deeper merchandising, segmentation and manufacturing support in the solution, tailored to fashion wholesalers and manufacturers. These enhancements provide the data and process foundation needed for AI-assisted fashion operations across the business.

AI that drives better customer engagement

As shopping journeys increasingly begin with AI assistants rather than storefronts or search engines, retailers need new ways to be present wherever buying decisions are made. 麻豆原创 helps retailers connect products, pricing, inventory and promotions directly to AI-enabled discovery and shopping experiences, unlocking agentic commerce with its new storefront MCP server, part of the 麻豆原创 Commerce Cloud solution.

Retailers can now make their storefronts intelligible to AI, driving shopping experiences not only on their storefronts but also on platforms such as ChatGPT.聽This creates a truly channel-less commerce experience, one where engagement, discovery and transaction happen more seamlessly across human and AI-assisted touch points.

AI that builds customer loyalty

As customer expectations rise and fulfillment networks grow more complex, retailers need confidence that every order will be delivered as promised, using AI solutions that provide proactive visibility and guidance to help keep operations running smoothly and at scale. And as brand visibility shifts in the age of agentic commerce, reliable and consistent shopping experiences are more important than ever to drive sustained customer loyalty and trust.

麻豆原创 announced Order Reliability Agent as part of the 麻豆原创 Order Management Services bundle, planned for release in the second quarter of 2026. The new agent proactively identifies and resolves potential order issues, helping associates answer common questions about order status, stock availability and fulfillment risks before they impact customers.

By combining agentic autonomy with human oversight where judgment matters, these innovations from 麻豆原创 drive insightful planning and improve operational efficiency, both enhancing the customer experience and driving profitable growth.

Visit the . Get 麻豆原创 news via  and .

Media contact:
Mallory Kuno, +1 (425) 239-9362,聽mallory.kuno@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.聽 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.

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

Technology follows vision

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

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

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

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

Breaking down silos to empower AI

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

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

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

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

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

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

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

Compatibility Packs provide temporary usage rights, allowing certain classical 麻豆原创 ERP functionalities to operate within 麻豆原创 S/4HANA, aiming to ease the migration and maintain business continuity for customers moving from 麻豆原创 ERP to 麻豆原创 S/4HANA.

For most of the Compatibility Packs, the usage rights end on December 31, 2025, which has been extensively communicated to customers, partners, and user groups and is documented in .

To counter for the fact that despite the extensive communication聽several customers still need some more time to manage this transition, 麻豆原创 is offering this final transition period in an effort to provide customers with greater choice and flexibility.

Accompanying this extension, 麻豆原创 will offer tailored programs for customers that are moving to the respective 麻豆原创 cloud solutions that replace the compatibility pack functionalities. We encourage affected customers to contact their 麻豆原创 representative.

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

With sales to 86 countries, 450 employees from more than 30 nationalities, and production of vital vaccines against diseases such as diphtheria, tetanus, whooping cough, tuberculosis, and bladder cancer, AJ Vaccines is a significant player in global vaccine preparedness.

Since the Statens Serum Institut (SSI) sold its vaccine production in 2017 and it was taken over by AJ Vaccines, the organization has transitioned from a public entity to a private pharmaceutical company based in Copenhagen.

From legacy to cloud and compliance

After the divestment from SSI, AJ Vaccines inherited an 麻豆原创 system from the late 1990s, which was designed more for a public health organization than a pharmaceutical company.

鈥淲e were left with an outdated system that didn鈥檛 really fit our needs as a private player in a global market,鈥� Michael Kvistholm, head of IT at AJ Vaccines, said. 鈥淭hat鈥檚 why we decided to go all-in on a cloud solution with 麻豆原创 S/4HANA Cloud. We carried out a pure standard implementation from scratch (greenfield) in a RISE with 麻豆原创 setup and now have a modern, flexible, and scalable cloud ERP platform that supports our entire business.鈥�

The decision was made to ensure a platform that matches the company鈥檚 needs and future growth.

鈥淲e have reduced our technological debt and consolidated our systems, gaining a more intuitive and user-friendly platform so we can work more efficiently and securely鈥攚hile also meeting the high standards for quality, traceability, and documentation required in our industry,鈥� he explained.

Everyday examples: efficiency and user-friendliness

Since implementing in October 2025, AJ Vaccines has gained a unified platform that creates new opportunities to optimize and integrate processes across the company. The solution provides a solid foundation for better data quality and workflows, enabling improved management, increased transparency, and more effective decision-making.

The IT department has gained an overview and reduced complexity with 麻豆原创 LeanIX, a tool for mapping and managing the company鈥檚 entire application landscape and ensuring governance across both 麻豆原创 and non-麻豆原创 solutions. 麻豆原创 Cloud ALM is used for project management and lifecycle management, so releases, testing, and documentation are handled efficiently, and compliance is always top-notch.

During the implementation, AJ Vaccines used 麻豆原创 Signavio and based its approach on 麻豆原创 standard processes, which brought several advantages.

鈥淲e鈥檝e saved a lot of hours by using standard test cases from 麻豆原创 Signavio, which is our platform for process mapping, modelling, and optimization,鈥� said Kvistholm. “We鈥檒l also use these tools for other projects across the company.”

At the same time, 麻豆原创 Enable Now鈥攆or change management and end-user training鈥攈as made learning for existing staff and onboarding new employees easier.

鈥淲e鈥檝e created over 100 training videos so all employees can quickly find answers and learn new workflows鈥攊t鈥檚 been a huge success,鈥� Kvistholm confirmed.

Kvistholm also looks forward to early 2026, when the recruitment process will be digitized with 麻豆原创 SuccessFactors. Finally, he and his team will carefully consider the new opportunities created by 麻豆原创 Business Technology Platform. The platform enables rapid development and integration of new solutions and apps, allowing IT to support business needs flexibly, and, among other things, consolidate other platforms: 鈥淭here鈥檚 really no reason to pay double,鈥� as Kvistholm put it.

Change management and the foundation for the future

AJ Vaccines is focused on formalizing its superuser organization and strengthening governance around master data.

鈥淲e need to clean everything up and keep things in order,鈥� Kvistholm said. 鈥溌槎乖� has become the foundation for our continued digitalization. From now on, it鈥檚 about seeing how we can get 麻豆原创 spread even more out throughout the company.鈥�

Advice for other companies

Kvistholm emphasized the importance of management support and a narrow scope: 鈥淚t鈥檚 about staying focused and achieving a fundamental implementation鈥攁nd then continuously carrying out smaller improvement projects. That is and will be the key to our success.鈥�

Ellen Vig Nelausen is an integrated communications expert for 麻豆原创 Regional Communications.

Rather than a one-size-fits-all approach, the solution was designed to empower small businesses and the lower midmarket with an ERP solution that can grow with them and meet their evolving needs as they grow and prosper.

Introducing 麻豆原创 Business One

Today, more than 83,000 customers and 1.2 million users across more than 170 countries rely on 麻豆原创 Business One, supported by a global network of 850 partners and over 500 industry and country-specific extensions.

鈥淚t鈥檚 designed to be easy to start with,鈥� said Darius Heydarian, head of Partner Solution Enablement 麻豆原创 Business One. 鈥淥rganizations can begin with just a single user and scale up as their needs grow, whether that means adding more people, locations, or subsidiaries.鈥� The solution can adapt to how smaller organizations work, offering both quick setups for remote sites and coordinated rollouts across regions. It helps provide a modern, browser-based experience and can integrate smoothly with 麻豆原创鈥檚 analytic solutions and automation tools.

The role of partners

麻豆原创 recently reaffirmed the strategic importance of 麻豆原创 Business One within the 麻豆原创 solution portfolio. 麻豆原创 Chief Partner Officer Karl Fahrbach emphasized 麻豆原创鈥檚 continued commitment to 麻豆原创 Business One, highlighting the crucial role of the partner ecosystem: 鈥溌槎乖� continues to invest in the future of 麻豆原创 Business One. Our partner ecosystem remains at the heart of this success鈥攄riving autonomy, resilience, growth, and winning new customers every day.鈥�

Partners play a central role in the 麻豆原创 Business One ecosystem. 麻豆原创 works closely with a vast network of partners that are experts in implementing and supporting 麻豆原创 Business One. These partners have the expertise to tailor solutions to each customer鈥檚 specific requirements, whether it鈥檚 industry functionality, localization, or regulatory compliance.

鈥淧artners also contribute to the extensibility of 麻豆原创 Business One, developing extensions and industry solutions that help customers address unique challenges,鈥� Heydarian said. The collaboration between 麻豆原创 and its partners helps ensure that customers benefit from both 麻豆原创鈥檚 technology and the specialized knowledge of local experts.

Customers in scope

鈥淩ecently, one of our partners shared a customer example with me that perfectly reflects the nature of companies in the market segment we are targeting with 麻豆原创 Business One,鈥� Heydarian said. 鈥淭he business had three employees when they started using the solution. Over the years, they expanded and employ 250 people today鈥攚ithout outgrowing their software platform.鈥�

A typical 麻豆原创 Business One customer is a small or midsize company looking for an affordable, flexible, and scalable ERP solution. These organizations often need to manage a range of business functions鈥攆rom accounting and financials to purchasing, inventory, sales, customer relationships, and reporting鈥攁ll in one place. 麻豆原创 Business One helps them gain control, streamline processes, and make strategic decisions based on real-time information.

The solution is customizable to meet evolving business needs and supports international expansion with 28 languages and 50 country-specific localizations. Local support is provided by over 850 partners, helping to ensure that customers can get help tailored to their specific requirements.

鈥淲e are proud of the fact that 麻豆原创 Business One is part of 麻豆原创鈥檚 solution portfolio,鈥� Heydarian said. 鈥淭hree thousand net-new customers choose 麻豆原创 Business One every year. On average, 10 customers select 麻豆原创 Business One every day.鈥�

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As the pace of digital demand accelerates and mission priorities grow more complex, it is clear that traditional modernization approaches can no longer keep pace.

To deliver on rapidly evolving government missions, agencies must move beyond lifting and shifting legacy systems. The true transformation lies in reimagining operating models to support continuous, secure, and scalable innovation.

Shift from modernization to transformation

Legacy IT structures, designed for predictability and control, often limit progress. Risk-averse approaches that once provided stability now constrain agility and innovation. Federal agencies leading the way are adopting future-ready, cloud-native architectures that emphasize interoperability, flexibility, and resilience. These architectures do more than modernize technology; they modernize how agencies work, collaborate, and deliver results.

Reducing technical debt has become a strategic imperative, but emerging technologies also demand a balance of governance and innovation. Federal leaders are reframing their approach to modernization as an ongoing process, a state of persistent transformation where technology, mission, and operations evolve in sync.

Measuring what matters: from cost to capability

As agencies embrace new models of delivery, success must be evaluated through a dual focus:

• Total cost of ownership (TCO): Sustaining efficiency by lowering infrastructure costs and simplifying operations
• Total cost to innovate (TCI): Accelerating value creation by enabling teams to activate, test, and scale new capabilities with minimal risk and complexity

This broader lens allows agencies to view modernization as an investment in agility, resilience, and readiness鈥攅nsuring they can respond to what鈥檚 next, not just what鈥檚 now.

Partnering for a smarter, more agile government

Driving this shift requires strategic collaboration across the public and private sectors. Programs such as the U.S. General Services Administration鈥檚 initiative are redefining how government acquires and deploys technology. By consolidating procurement and engaging directly with technology providers, OneGov helps create greater transparency, efficiency, and long-term value for taxpayers.

In alignment with this vision, 麻豆原创 has partnered with GSA to provide federal agencies with expanded access to both 麻豆原创 licensed-based products and white glove migration, all while avoiding data egress fees. These initiatives help agencies reduce technical debt, accelerate digital transformation, and establish a secure, cloud-native foundation for the future.

Building the innovation-ready enterprise

Modernization is not a destination, it is a capability. Agencies that continually adapt their operating models will define the next generation of public service. The path forward is clear:

• Reimagine modernization as operating model transformation, not just technology refresh
• Balance efficiency with innovation by measuring both cost savings and speed to value
• Build future-ready enterprises where mission and IT operate as one, powered by cloud, automation, and AI

Together, we are shaping a smarter, more secure, and more agile federal enterprise, one that is ready to meet the demands of a rapidly changing world and deliver enduring value to citizens.

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

Headquartered in Homberg (Ohm), Germany, with worldwide locations, in 2024 KAMAX generated 鈧�1 billion in revenue and employs 4,000 people dedicated to serving OEMs globally.

To maintain its competitive edge, the ambitious company embarked on a transformative journey to streamline its supply chain through digitalization and intelligent logistics management. This transformation centers around the deployment of (麻豆原创 EWM),  (麻豆原创 TM), and a comprehensive 麻豆原创 S/4HANA platform, supporting superior logistics efficiency, transparency, and sustainability.

Optimizing logistics at scale

Handling approximately 400 transports daily across multiple global plants, KAMAX manages two distinct logistics flows: goods pre-packed and stored in warehouses, and a “pack-to-order” system where items are packaged just before shipment. Currently, three plants operate on 麻豆原创 S/4HANA with 麻豆原创 Extended Warehouse Management and one pilot plant with 麻豆原创 Transportation Management integrated, while others are transitioning from 麻豆原创 ERP Central Component (麻豆原创 ECC).

The implementation of the advanced shipping and receiving process dramatically improved logistics transparency and efficiency.

“The use of the unified package builder, which leverages real data instead of estimates, allows us to provide precise shipping information to freight forwarders earlier in the process,” Jens Hoidem, director of IT Business Solutions at KAMAX, explained. This improvement enhances truck planning and communication with carriers, positively impacting the company’s logistics operations daily.

KAMAX collaborates exclusively with freight forwarders, working with approximately 20 carriers globally. At the advanced shipping and receiving pilot plant, about 60 deliveries per day are coordinated, involving around 2,000 handling units across five to six trucks. This network supports operational responsiveness without compromising control.

On premise today, cloud-ready tomorrow

Currently, three of KAMAX鈥檚 plants run on 麻豆原创 S/4HANA, with the remaining plants on 麻豆原创 ECC, all on an on-premises basis designed to be cloud-ready for future transitions.

Hoidem pinpointed the critical process improvements brought by advanced shipping and receiving in combination with 麻豆原创 Extended Warehouse Management and 麻豆原创 Transportation Management: 鈥淭he shipping registration now uses the unified package builder, relying on accurate, real data rather than estimated figures. This has substantially improved truck planning and early communication with our freight forwarders, impacting around 60 deliveries and about 2,000 handling units daily at our pilot plant.鈥�

Over 95 percent of KAMAX’s transport is by truck. “We maintain a global footprint close to our OEM customers to optimize delivery times and costs,鈥� Hoidem added. 鈥淲e currently engage about 70 to 80 different freight forwarders worldwide, facilitating diverse and dynamic transport needs.鈥�

Sustainability and process automation

KAMAX has a bold strategy for sustainability and aims for carbon neutrality by 2037. Implementation of 麻豆原创 Extended Warehouse Management and 麻豆原创 Transportation Management plays a crucial role in supporting KAMAX’s goal by enabling better route planning, efficient truck utilization, and minimizing empty runs.

鈥淩educing CO2 emissions through smarter transport management is a key project outcome,鈥� Hoidem added.

The German company is also actively advancing in automation. In China, KAMAX has piloted RFID technology integrated with automated guided vehicles (AGVs) to automate intra-logistics, reducing manual labor and enhancing productivity.

the company’s digital subsidiary, has developed an Operator Cockpit linked with 麻豆原创 Extended Warehouse Management for real-time monitoring and automated production order management. Using laser technology, KAMAX automated piece counting, saving about 40 labour hours in May at their Slovakian plant across 1,200 containers.

KAMAX plans to roll out 麻豆原创 Extended Warehouse Management, 麻豆原创 Transportation Management, and advanced shipping and receiving across all seven plants, progressively improving automation and digitalization of intralogistics processes. 鈥淲e aim to integrate AI for advanced receiving and transportation management, continuing to optimize costs and capacity,鈥� Hoidem shared.

Curious about how KAMAX鈥檚 journey to streamline and future-proof its supply chain? .

The step is part of the digital transformation needed to support the organization鈥檚 global mission.

The Ocean Cleanup focuses on reducing plastic pollution in rivers and oceans, operates internationally, and is growing rapidly. To date, the organization has already removed more than 40 million kilograms of waste.

However, its ambitions go further: by 2040, The Ocean Cleanup aims to have removed 90 percent of floating ocean plastic and cleaned up plastic pollution in 90 river cities. This represents a major scale-up of the work, with more activities and installations in rivers and oceans worldwide.

Flexible growth

To properly manage global processes and support international activities, The Ocean Cleanup urgently needed a modern and scalable system. The Dutch nonprofit organization chose to replace its existing system with 麻豆原创 S/4HANA Cloud, Public Edition.

The modern ERP platform enables The Ocean Cleanup to achieve its growth ambitions: the system is easily scalable and can be flexibly adapted as processes, projects, or international activities expand.

A strong foundation for global collaboration is essential. For example, financial teams must work closely with fundraisers to optimally distribute donations across international projects while project teams, engineers, and data analysts coordinate daily on technology, planning, and budgets for initiatives in rivers and oceans worldwide.

鈥淧erfect coordination between teams is essential; we hunt plastic together as a pack,鈥� Aurelia Ferraro, senior partnership manager at The Ocean Cleanup, shared. 鈥淭he system helps us with that collaboration, allowing us to respond quickly to new challenges.鈥�

鈥淲e are growing exponentially, and our internal processes have become increasingly complex, with operations spanning multiple countries,鈥� Ferraro further explained. 鈥溌槎乖� S/4HANA is the ideal system to manage that complexity.鈥�

She emphasized that the transformation is about more than just technology: 鈥淐hange and innovation are always complex, but our organization is accustomed to change. We invest a lot of energy in communication and training, which ensures smooth 麻豆原创 adoption.鈥�

Fast implementation and configuration

Joost van Lankveld is a strategic advisor at Scheer Nederland, The Ocean Cleanup’s implementation partner. He added: 鈥淭ogether with The Ocean Cleanup, we are following a phased implementation. 麻豆原创’s 80-20 fit-to-standard approach allows us to implement quickly, after which we configure specific processes in 麻豆原创 according to The Ocean Cleanup’s needs.鈥�

The implementation began with financial administration and purchasing modules for five Dutch entities. The upcoming phases will include project management and logistics modules that provide insight into The Ocean Cleanup’s complex river and ocean projects. The organization expects to complete the transition to 麻豆原创 S/4HANA by the end of 2025.

Patricia Bueters is a senior integrated communications manager at 麻豆原创 Benelux (Belgium, the Netherlands, and Luxembourg).

These include 麻豆原创 Cloud ERP Private,聽麻豆原创 Business Data Cloud,聽麻豆原创 Integrated Business Planning and聽麻豆原创 Signavio solutions.

Following its spinoff from Continental AG in September 2025, AUMOVIO is redefining the automotive landscape with its bold vision to make mobility safe, exciting, connected and autonomous. With over 100 years of experience and a global footprint of more than 86,000 employees across over 100 locations, AUMOVIO is now embracing 麻豆原创鈥檚 intelligent enterprise solutions to become even more dynamic, agile and competitive.

鈥淭his move to the cloud and these solutions will transform our operations,鈥� said Thorsten Pache, CIO of AUMOVIO. 鈥淲e鈥檙e building a digital-first foundation that allows us to scale innovation, respond to market shifts in real time and deliver intelligent mobility solutions that anticipate the needs of tomorrow鈥檚 drivers.鈥�

The deployment of 麻豆原创 Cloud ERP Private provides AUMOVIO with a more secure and flexible digital core, while 麻豆原创 Business Data Cloud enables real-time data harmonization across its global footprint. 麻豆原创 Integrated Business Planning supports comprehensive supply chain visibility and responsiveness, and 麻豆原创 Signavio solutions empower continuous process optimization and transformation.

鈥淥ur collaboration with AUMOVIO demonstrates how cloud technology can accelerate reinvention,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淏y combining advanced planning, process intelligence and a unified data foundation, AUMOVIO is well positioned to lead in the era of connected and autonomous mobility.鈥�

AUMOVIO鈥檚 transformation reflects its commitment to innovation, operational excellence and collaborative spirit. AUMOVIO is now better positioned to deliver cutting-edge solutions, from sensors and displays to autonomous driving platforms, while maintaining operational excellence and customer-centricity.

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Media Contact:
Lesa Plingen, +49 622 776 9000,聽lesa.plingen@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 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

To support ongoing expansion, Far East sought more streamlined and efficient lease lifecycle management operations, leading the company to progressively digitalize the entire leasing lifecycle.

Manual processes prompt change

The leasing process at Far East has traditionally been resource-intensive, involving multiple manual steps and significant human intervention across various stages, including pre-offer approvals via e-mail, rental computations, budget comparisons, contract drafting, amendment management, and rental change tracking.

This approach required substantial manpower and created multiple data entry points across the leasing lifecycle, which could affect accuracy and timeliness. Manual updates to rental terms and amendments also contributed to inefficiencies.

The project marks an important step toward operational excellence. By identifying and addressing these systemic challenges, Far East is laying the foundation for a fully digital, integrated leasing platform that supports seamless process flow, real-time data visibility, and more informed decision-making. It is a bold shift toward a strategic, data-driven approach to leasing that enhances agility, accuracy, and growth.

A strategic move forward

For this reason, FEO decided to undertake a strategic transformation to digitalize its leasing operations through a robust, intelligent, and integrated 麻豆原创 ecosystem. This initiative unifies the full leasing lifecycle, from lead generation to contract execution and financial settlement, while enhancing operational excellence, data transparency, and customer service.

麻豆原创 was selected as the strategic platform for leasing digitalization due to its ability to deliver a comprehensive, end-to-end solution that connects business processes across the leasing lifecycle. With at the core, Far East benefits from a powerful digital foundation that aligns real estate, finance, and operational workflows into a single source of truth, supporting data integrity, process consistency, and real-time visibility. 麻豆原创鈥檚 cutting-edge technologies鈥攊ncluding 麻豆原创 Customer Relationship Management (麻豆原创 CRM), 麻豆原创 Business Technology Platform (麻豆原创 BTP), and 麻豆原创 Fiori apps鈥攅nable intelligent automation, advanced analytics, and a clean core architecture that supports both standardization and innovation.

This integrated ecosystem empowers FEO employees to leverage real-time analytics for data-driven decisions and reduce errors and eliminate bottlenecks with automated tasks, streamlined processes, and optimized workflows.

The result? FEO experienced an 80% improvement in sales process efficiency at closing leasing sales.

Impact of the leasing digitalization project

The successful implementation of the leasing digitalization project has delivered tangible improvements across the organization, from the residential and commercial group business unit to its financial, operational, and compliance domains. By streamlining and automating leasing processes, FEO achieved over US$500,000 in annual cost savings while reducing operational overhead. The project eliminated redundant data entry through intelligent field derivation and automated rental computations, helping to minimize errors and boost workforce productivity.

In addition, the leasing lifecycle has been accelerated, cutting the lead-to-contract process and reducing contract generation time from days to just minutes. With 100% system uptime since go-live and strong user adoption, the platform has become a reliable tool for leasing operations. Intelligent validations, including budget checks and competitive rent evaluations, have strengthened regulatory compliance and enhanced decision accuracy. Collectively, these outcomes have strengthened FEO鈥檚 position as a digitally enabled real estate business, well-equipped for agile, data-driven portfolio management and continuous innovation.

FEO has made significant leaps forward in the property management industry. Employee productivity has increased with streamlined processes. Regulatory compliance with industry regulations and standards is managed with intelligent validation. And, analytics provide valuable insights into tenant behavior, rent trends, and property performance.

An 麻豆原创 Innovation Award winner

For its property management achievement, Far East Organization was selected as a 2025 麻豆原创 Innovation Award winner in the Industry Leader category.

Nicolas Englo is program manager for the 麻豆原创 Innovation Awards.

In just six months, Brose transitioned its mission-critical systems from internal data centers to the cloud, including complex production processes such as just-in-time and just-in-sequence operations across its global manufacturing plants. The migration was executed without any disruption to customer deliveries, underscoring the robustness of the solutions and the strength of the 麻豆原创-Brose partnership.

鈥淭his cloud migration makes Brose faster, more flexible, and more resilient鈥攁nd strengthens our position as an innovative partner for the mobility of the future,鈥� said Stefan Krug, CEO of the Brose Group. 鈥淐hallenging times in particular show how important digital transformation is. I鈥檓 proud of our team鈥檚 dedication and the seamless collaboration with 麻豆原创.鈥�

The project is considered a reference implementation for the automotive industry and sets a benchmark for future 麻豆原创 cloud initiatives. Brose鈥檚 successful deployment demonstrates how 麻豆原创 Cloud ERP Private can support high-performance manufacturing environments while enabling scalability and innovation.

鈥淏rose鈥檚 rapid and disruption-free migration to 麻豆原创 Cloud ERP Private exemplifies the power of the cloud to drive agility and resilience in the automotive sector,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE. 鈥淭his collaboration showcases what鈥檚 possible when industry leaders embrace transformation with speed and precision.鈥�

Looking ahead and聽reinforcing its role as a pioneer in automotive digitalization, Brose will continue to work closely with 麻豆原创 and other ecosystem partners to strengthen its foundation聽of 麻豆原创 cloud solutions to enable the usage of the latest innovations such as business AI.

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Media Contact:
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Top image courtesy of Brose

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.聽 Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.

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

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

Supercharging developers

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

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

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

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

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麻豆原创 BTP is the foundation for AI agents

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

Alam identified three broad themes during the keynote:

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

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

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

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

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

麻豆原创 BDC and Snowflake

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

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

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

麻豆原创 pioneers a tabular foundation model

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

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

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

Joule, Joule Agents, and AI assistants

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

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

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

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

Quantum computing

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

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

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

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

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

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

Cutting-edge experiments demonstrate measurable productivity gains

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

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

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

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

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

Transforming warehouse operations at Sartorius

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

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

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

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

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

Optimizing automotive production at Martur Fompak

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

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

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

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

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

Artem Sokolov, Founder and CEO, Humanoid

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

Robotics company partners

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

AgiBot

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

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

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ANYbotics

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

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

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Booster Robotics

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

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

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Galbot

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

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

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Humanoid

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

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

Unitree Robotics

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

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

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Robotics enablement partners

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

Capgemini

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

Cyberwave 

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

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

HCLTech

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

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

KINEXON

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

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

Lighthouse

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

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

SinoSwissHub

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

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

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

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

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

Build custom agents on the most context-rich agentic platform

I鈥檓 excited to share the ability to build custom agents in will be generally available in December. New capabilities include AI-assisted agent design, system-triggered agents, extensibility of 麻豆原创-delivered Joule Agents, centralized enterprise-grade agent monitoring, support for Agent-to-Agent (A2A) protocol, and support for Model Context Protocol (MCP). Read our in-depth and to learn more.

鈥淛oule Studio鈥檚 agent builder connects 麻豆原创 analytics with merchandising systems, powering Accenture鈥檚 Optisell agent to surface at鈥憆isk inventory, recommend pricing actions, and simplify merchandise alert configuration — all without heavy custom development.鈥�

Catherine Nguyen, Global Lead for 麻豆原创 Business Group AI Strategy and Adoption, Accenture

For developers building pro-code agents, (麻豆原创 BTP) offers comprehensive support for popular open-source frameworks, like Crew.AI and LangGraph, and provides end-to-end identity, authorization, governance, and integration capabilities.

MCP support for is now available, providing with direct access to rich multi-model engines. This allows agents to be grounded in full data context: navigating relationships across customers and suppliers, understanding geographic dependencies through spatial data, and performing semantic searches through vector embeddings 鈥� all within a single in-memory engine. 

Additionally, 麻豆原创 HANA Cloud knowledge graph engine can now automatically generate knowledge graphs from 麻豆原创 HANA Cloud metadata. What used to take weeks of manual modeling can now happen automatically in minutes.

We鈥檙e also enabling agentic memory in 麻豆原创 HANA Cloud. With long-term memory, AI agents can persist context across long-running sessions and memorize past input and decisions, just like humans do, to become continuously smarter.

I鈥檓 excited to share several innovations, including our first enterprise relational foundation model (RPT), 麻豆原创-RPT-1, accompanied by a no-code testing playground environment and prompt optimizer service. New capabilities are continuously added to our , empowering developers to experiment with leading models and orchestration tools and scale AI development and productization across 麻豆原创 and non-麻豆原创 landscapes. .

Vibe on 麻豆原创 Build using the tools of your choice

New local give developers the ability to use agentic tools for development and preferred code assistants, such as Cursor, Windsurf, Claude Code, Cline, and OpenAI Codex — all while maintaining enterprise-grade governance and clean-core alignment.

An 麻豆原创 Build extension pack for Visual Studio (VS) Code is now available to simplify development of CAP, Fiori, UI5, and mobile applications. This makes it easier for VS Code developers to build faster and deploy apps on 麻豆原创 BTP. Looking ahead, we will publish our extensions on the Open VSX Registry to simplify the onboarding of these tools and provide similar native development experiences on other integrated developer environments (IDEs).

Increase velocity with 麻豆原创 Joule for Developers

, the best code assistant for 麻豆原创 development, empowers developers of all skill levels to build more efficiently by leveraging comprehensive, AI-infused developer tools to deliver precise, contextualized outcomes powered by purpose-built, 麻豆原创-centric AI models. This frees-up time to be more productive, creative, and proficient in accelerating ABAP, Java, JavaScript, and visual tool-based application development and automation of 麻豆原创 processes.

New enhancements to 麻豆原创 Joule for Developers, such as within and capabilities, help developers modernize legacy systems and meet enterprise-grade governance and security requirements. These improvements also boost productivity, enhance code quality, and support cloud transformation goals.

Developers working in can now use AI-assisted content creation to quickly generate comments, create workspace content, and summarize documents. AI responses can also draw directly from user-specific folders and workspace content, providing users with trusted insights tailored to their roles, while maintaining compliance and secure role-based document grounding. 

Looking ahead, new ABAP large language models (LLMs) trained on ABAP code and specialized for ABAP development will be released next year.

Connect everything to boost productivity

Developers build the bridges that keep businesses running. We鈥檙e making that work easier and faster with . The following innovations make API and agent-driven automation easier, ensure reliable end-to-end security with real-time monitoring, and boost developer productivity.

We are continuing to embed AI capabilities directly into 麻豆原创 Integration Suite. will now automatically provide targeted recommendations and intelligent healing to resolve common API anomalies such as error spikes, latency surges, or abnormal traffic patterns. Developers can also ask Joule to about the most used APIs to gain deep API insights and understand usage patterns.

MCP Gateway support will enable customers to expose custom APIs and integration flows that can be consumed by AI agents. This feature introduces the ability for customers to enrich custom agents built in Joule Studio or extend Joule Agents by integrating data from third-party and legacy 麻豆原创 systems, composed as MCP tools for smooth agentic consumption. This approach standardizes access, centralizes governance and security, and simplifies discoverability in the .

To jumpstart integration projects, you can access hundreds of out-of-the-box integration adapters as well as pre-built API, event, and integration content on .

Gain security and operations built in, not bolted on

麻豆原创 BTP provides developers with a unified environment to manage applications, secure data, and scale solutions seamlessly across 麻豆原创 and third-party systems. With core centralized application lifecycle, interoperability, security, and administration capabilities, developers can easily and quickly resolve errors and boost team productivity. Read the full list of enhancements in the .

Explore at your own pace

If you missed attending 麻豆原创 TechEd in person or virtually, please be sure to read the full list of announcements in the  and watch .

Wherever you鈥檙e at in your journey, there are easy ways to get started:

• Visit to start a
• Explore and new 
• Register for our upcoming on December 9
• Read more in “Introducing 麻豆原创 Snowflake, New Data Fabric Innovations for 麻豆原创 Business Data Cloud and 麻豆原创 HANA Cloud“

Michael Ameling is general manager and chief product officer of Business Technology Platform and a member of the Extended Board of 麻豆原创 SE.

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

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

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

Customer spotlight: Bain & Company

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

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

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

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

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

Looking ahead

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

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

.

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

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

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

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

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

Advancing the government鈥檚 modernization agenda

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

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

Accelerating modernization: a win for government and industry

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

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

Partnering for the future of government

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

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

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

The first of three upgrades, this one involved more than 50,000 employees and was completed in under 20 hours. Supported by a standardized technology landscape that enabled minimal downtime, this smooth transition to 麻豆原创 S/4HANA Cloud Private Edition sets a new benchmark for digital transformation in the fast-moving consumer goods (FMCG) industry.

A long-time 麻豆原创 customer, Nestl茅 since 2000 has used 麻豆原创 software as its single unified system to manage its global operations and moved to the cloud in 2022. The upgrade to 麻豆原创 S/4HANA Cloud Private Edition is a strategic leap in its transformation journey to future-proof the company as consumer expectations evolve and new technologies reshape the marketplace.

鈥淲e are building a future-ready enterprise鈥攐ne that works smarter and faster,鈥� said Chris Wright, Nestl茅鈥檚 head of IT and CIO. 鈥淗aving a common ERP system as our backbone is already a tremendous advantage for Nestl茅. It provides a unified platform and data foundation that allows us to execute end to end across the value chain and have visibility across the entire company and beyond. With the upgrade, we gain new capabilities and insights that will help scale new products faster globally to meet the needs of our customers and consumers, and with AI and automation at scale, we鈥檒l drive efficiency and effectiveness across our value chain.鈥�

With a portfolio that includes global icons such as Nescaf茅, Kit Kat and Maggi, Nestl茅 chose to upgrade to 麻豆原创 S/4HANA Cloud Private Edition to accelerate the rollout of new products and innovations across the group. The upgrade also supports it in making data-driven insights and improving processes to drive efficiency and effectiveness across the company鈥檚 business operations to better serve consumers worldwide who rely on its products every day.

鈥淣estl茅鈥檚 successful go-live of 麻豆原创 S/4HANA Cloud Private Edition showcases how scale can be a strategic advantage for innovation,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淎s one of the world鈥檚 most recognizable and forward-thinking companies, Nestl茅 exemplifies how cutting-edge technology empowers global brands to anticipate consumer trends, optimize operations and deliver exceptional experiences at scale.鈥�

The upgrade also provides a robust digital core ready for AI and automation at scale across the company鈥檚 value chain, enabling Nestl茅 to gain real-time data insights for smarter decision-making. By harnessing AI and the Joule copilot at scale across its operations, value chain and product portfolio, Nestl茅 can personalize consumer engagement and optimize operations with greater agility. This helps ensure it remains responsive to evolving consumer expectations and lays the foundation for a truly omnichannel experience.

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Top image courtesy of Nestl茅

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