Instead, they immediately encounter friction. They鈥檙e asked to repeat information they鈥檝e already shared across multiple channels and departments. Then they see an offer for the item they just purchased, rather than something similar or new. And when they encounter an issue down the line, customer support doesn鈥檛 recognize their history.

Micro moments like these do not feel minor to customers anymore. They feel inexcusable. Customer expectations have changed faster than most brands can keep up. Customers now assume brands know who they are, what they need, and what鈥檚 happening right now. And they expect brands to act on that knowledge instantly.

At the same time, businesses are embracing a new era of AI. Dubbed “agentic AI,” it represents a paradigm shift where AI doesn鈥檛 just analyze or recommend products, but increasingly plans, decides, and acts through a network of agents. This creates a massive opportunity for customer experience (CX) leaders today, in particular marketers, who, according to McKinsey, are leading in AI adoption amongst business functions. But it also raises the stakes.

Because when AI moves faster than your data, systems, and processes, it exposes everything that鈥檚 broken. That tension鈥攂etween rising expectations and disconnected reality鈥攊s exactly what 麻豆原创 and Google Cloud are addressing together.

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The marketer鈥檚 reality: ambition outpacing execution

According to recent , more than half of marketers say fragmented or outdated data prevents them from acting in the moment. Insights arrive too late. Activation requires manual stitching across tools. And even the best strategies stall before they ever reach customers.

It is clear that most organizations genuinely want to deliver great customer experiences. But fragmentation is what stands in the way of delivering connected, meaningful engagements.

On one side: Customers expect effortless, relevant, and real-time experiences. On the other hand, organizations still operate with fragmented data, siloed teams, and delayed insights.

Our latest reveals that customers are increasingly frustrated: 45% say brands can鈥檛 keep up with changing expectations, and 44% say interactions feel less personal than before.鈥�

AI accelerating the engagement divide 

The disconnect between what customers feel and what businesses believe is the “.” Customer signals live across disconnected systems. Data arrives late or without context. Execution happens separately from insight. And while customers feel this friction immediately, many companies do not realize how disconnected their experiences truly are in their customers’ eyes. Now, AI is accelerating this divide.

Agents can generate content, launch campaigns, and optimize engagement at unprecedented speed. But when those agents act on incomplete, outdated, or fragmented data, they only exacerbate inconsistency and poor customer experiences.

When talking to our customers, it鈥檚 clear that there is no shortage of ambition when it comes to AI. In our research, 78% of brands say AI will be integral to their customer retention efforts this year. But only 46% of brands can connect their data in a way that is accessible to power AI sustainably.

The real challenge for CX leaders today is ensuring that AI has the right foundation: trusted data, unified context, and direct connection to execution.

New model for engagement built on trusted enterprise data

麻豆原创 and Google Cloud are expanding their partnership to enable a fundamentally different approach to marketing execution, one grounded in trusted enterprise data and real-time signals, accelerated with multi-agent coordination, and delivered at scale through 麻豆原创 and Google鈥檚 customer engagement solutions.

麻豆原创 provides both operational truth for elements such as inventory, orders, and fulfillment status, and deep customer knowledge across customer experience interactions. Google Cloud brings additional real-time signals and analytics, along with advanced AI. Combined, they create a shared, real-time understanding of the customer, grounded in business and situational context.

At the heart of this partnership:

• 麻豆原创 Business Data Cloud (麻豆原创 BDC) connects semantically rich data across the enterprise with AI to enable real-time insights and drive personalized interactions grounded in business context. This includes 麻豆原创 Business Data Cloud Connect for Google BigQuery.
• Google BigQuery unlocks real-time signals across the Google ecosystem, such as geolocation, weather, and rich analytics, through bidirectional, zero-copy data access with 麻豆原创 BDC, while ensuring enterprise-grade governance and security.
• 麻豆原创 Customer Experience applications provide the real-time behavioral context 鈥� customer profiles, transactions, orders, service interactions, and consented engagement data.
• 麻豆原创 Engagement Cloud activates enterprise data and AI insights and predictions to securely orchestrate real-time, personalized interactions across the entire customer life cycle.

With these innovations, marketers can finally move from insight to execution automatically.

To realize the full potential of agentic AI, businesses need their systems to speak the same language. By uniting 麻豆原创’s enterprise data and customer engagement platform with Google Cloud’s AI, we鈥檙e enabling marketers to move beyond simple automation to multi-agent orchestration, driving dynamic campaigns that reason and adapt to market shifts in real time.

Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud

From prompt to performance: how agents work together for marketing

Another critical element of this new execution model is agent interoperability. Gemini Enterprise acts as a central hub for multi-agent coordination, enabling  customers鈥� agents to securely exchange context and take action across platforms. Meanwhile, Joule acts as the engagement layer within 麻豆原创 applications, executing tasks, orchestrating campaign and content workflows, and optimizing marketing outcomes. Working together, 麻豆原创 and Google are enabling true multi-agent orchestration connected to trusted enterprise data.

Within this broader CX transformation, 麻豆原创 Engagement Cloud is where agentic intelligence becomes operational for marketing teams. It is the environment where enterprise signals, generative media, and AI agents translate into real customer interactions and automated lifecycle journeys.

Advanced generative capabilities powered by Google Gemini models, for example, Nano Banana 2, introduce new agentic skills that help CX teams dynamically generate messaging, imagery, and campaign variations. Through assistants and agents in Joule, these capabilities become embedded directly into marketing workflows, allowing brands to adjust tone, localize content, and respond instantly to changing conditions.

It is not just content generation and personalization that are being rewired. With unified data context and interoperable agents, mobile messaging can turn into immersive conversational experiences with Google Rich Communication Services (RCS) and advertising audiences, and creative, which can continuously evolve based on real-time performance and business signals, transforming campaigns into intelligent, self-optimizing systems.

And through this multi-agent network, marketers will not need to build every step of a campaign manually. Instead, they define the goal, gain more time to focus on strategy and creativity, and let agents handle the rest.

For example, a marketer can prompt:

• 鈥淚ncrease repeat purchases from customers in the last 30 days.鈥�
• 鈥淢aximize customer lifetime value while reducing campaign operational costs.鈥�

And from there:

• Joule Agents coordinate content production, grounded in customer and enterprise data, understand business context, customer history, and constraints
• Google鈥檚 Gemini Models and agents generate creative variations, messaging, and channel-specific content
• Agents collaborate across 麻豆原创 and Google Cloud to personalize, activate, and continuously optimize campaigns in real time across engagement channels and media networks

This is more than a data integration. It鈥檚 a leap forward for AI agents that can collaborate naturally and execute seamlessly. By combining 麻豆原创 Business Data Cloud Connect for Google with interoperable AI agents across 麻豆原创 and Google, we鈥檙e giving organizations a path from AI experimentation to AI-empowered customer experience at scale. Marketers can spend less time on manual tasks and more time shaping the customer journey.

Balaji Balasubramanian, President and Chief Product Officer, 麻豆原创 Customer Experience and Consumer Industries

Clear business outcomes for marketing teams

By enabling a network of interoperable AI agents and grounding them in enterprise data and shared context across 麻豆原创 and Google, organizations can achieve measurable outcomes, including:

• Faster speed-to-market through autonomous campaign and content generation
• Lower operational overhead by eliminating manual execution steps
• Always鈥憃n optimization that continuously improves performance
• Higher ROI through relevant, timely, and consistent engagement at scale

Marketers can spend less time managing workflows and more time shaping strategy, creative direction, and customer value.

Beyond campaigns: continuous engagement at enterprise scale

While marketing is a natural starting point, this is just the beginning. Customer engagement does not live in one system or team. Engagement spans commerce, service, sales, supply chain, and operations. A brand promise made in a message must be fulfilled by inventory. A personalized offer depends on pricing, availability, and delivery. And a single customer service interaction can shape the future of customer loyalty and lifetime value.

This multi-agent model is designed to support high-value use cases across the 麻豆原创 Customer Experience portfolio, laying the foundation for an AI-driven customer experience powered by trusted, unified, real-timedata.

In an AI-driven world, customer experience goes beyond any single interaction鈥攊t’s defined by every touchpoint a customer has with your company.

With the successful , 麻豆原创 has reached an important milestone. This achievement strengthens the foundation of the 麻豆原创 Sovereign Cloud portfolio in one of the most security-conscious markets in the world.

IT-Grundschutz confirms secure operation of 麻豆原创鈥檚 German data center facilities

IT-Grundschutz is the German Federal Office for Information Security鈥檚 (BSI) structured security methodology, and serves as a reference framework in public tenders and supplier assessments.

The certification on the basis of IT-Grundschutz confirms that the secure operation of the physical infrastructure of 麻豆原创鈥檚 German data centers has been positively assessed against Germany鈥檚 defined security requirements. It validates that physical protections, environmental safeguards, and facility-level operational processes meet BSI expectations.

In short: The secure facility operation of 麻豆原创-owned data centers in Walldorf/St. Leon-Rot, Germany, has been independently audited and confirmed against Germany鈥檚 national security methodology.

Strengthening one of 麻豆原创鈥檚 key sovereign delivery options: 麻豆原创 Cloud Infrastructure

The IT-Grundschutz certification strengthens one of 麻豆原创鈥檚 key sovereign delivery options in Germany: 麻豆原创 Cloud Infrastructure.

麻豆原创 Cloud Infrastructure is an Infrastructure-as-a-Service (IaaS) platform, operated in 麻豆原创-owned data centers and co-locations worldwide. In the Walldorf/St. Leon-Rot region in Germany, these data centers are owned by 麻豆原创, a German company, operated by approved personnel with the required security clearance, and designed for high availability, scalability, and stringent security requirements.

These data centers are designed to support GDPR-compliant data processing and to meet heightened regulatory and security requirements in Europe and Germany, including standards relevant to critical infrastructure and the processing of sensitive and classified workloads.

In three independent availability zones across separate data centers, interconnected via 麻豆原创-owned fibre infrastructure and using BSI-authorized German security hardware components approved for processing information classified VS-NfD, this foundation is complemented by certifications such as C5 Type II, KRITIS/NIS 2, TSI Level 3 (extended), ISO 22301, SOC 1 Type 2 and SOC 2 Type 2, SOX, EN 50600 and ISO/IEC 22237 (AC 3), and the German federal data center requirement catalogue.

On top of this, 麻豆原创 Cloud Infrastructure provides:

• An open鈥憇ource鈥慴ased, API鈥慺irst IaaS platform: Offering self鈥憇ervice provisioning, automation, and consistent resource management across deployment models
• A Kubernetes鈥慴ased cloud environment: Enabling cloud鈥憂ative workloads, container orchestration, and modern development patterns
• Open standards and proven open source technologies: Leveraging components used, developed, and refined for more than a decade in sensitive, large鈥憇cale environments
• Optimization for 麻豆原创 cloud services: Supporting aligned operations, integrated security, and efficient execution of 麻豆原创 workloads
• Support for 麻豆原创 and third鈥憄arty applications: Allowing 麻豆原创 and customer-specific workloads to run on one coherent, secure, and compliant infrastructure

麻豆原创 Cloud Infrastructure is an 麻豆原创-developed and 麻豆原创-operated IaaS platform for 麻豆原创 workloads and customer applications, ranging from global cloud scenarios to environments with high sovereignty and regulatory requirements, including an offering for the processing of classified information up to VS-NfD level in Germany. With the 麻豆原创 Sovereign Cloud portfolio, it enables both sovereign 麻豆原创 cloud services as well as the operation of customer workloads in a sovereign environment. At its core, it combines secure application operations with 麻豆原创 Cloud Infrastructure, which is designed for regulatory and operational control.

Sovereignty through choice and control with 麻豆原创 Sovereign Cloud

Digital sovereignty is frequently framed as a question solely of vendor origin, data residency, or the reduction of technical dependency. In practice, though, it is about demonstrable control. At 麻豆原创, we frame sovereignty across four interconnected capabilities:

1. Data sovereignty: 麻豆原创 stores data in local data centers or approved countries, avoiding unauthorized cross-border transfers and meeting critical infrastructure requirements.
2. Operational sovereignty: Sensitive operations stay local. Administration and maintenance are performed only by authorized personnel 鈥� either nationally approved personnel or nationals of an approved country 鈥� with the required security clearance.
3. Technical sovereignty: Control planes are hosted locally, with strict separation enforced through encryption or dedicated infrastructure.
4. Legal sovereignty: Governance stays aligned. Cloud providers must be based locally or in approved countries, and foreign authorities must mitigate ownership, control, and influence risks.

麻豆原创 Cloud Infrastructure meets these requirements. On this basis, data, operations, architecture, and legal control are brought together under clearly defined requirements.

Importantly, 麻豆原创 Cloud Infrastructure is embedded in 麻豆原创鈥檚 broader approach to offering customers choice in sovereign cloud. Different customers face different regulatory, operational, and transformation realities. Sovereign requirements cannot be met with a single model.

麻豆原创 Sovereign Cloud offers a range of delivery options to address different customer needs. Depending on specific requirements, customers can choose between the following options:

• 麻豆原创 Cloud Infrastructure: 麻豆原创鈥檚 IaaS platform is based on open-source technologies and is operated in 麻豆原创 data centers worldwide. Depending on the selected operating model, customer data processing and storage can be restricted to defined regions, for example, within the EU or exclusively in Germany, to meet specific data protection and compliance requirements.
• 麻豆原创 Sovereign Cloud On-Site: With 麻豆原创 Sovereign Cloud On-Site, 麻豆原创 provides and manages the full 麻豆原创 technology stack in a customer-designated data center, from hardware to 麻豆原创 Cloud Infrastructure and the 麻豆原创 Sovereign Cloud portfolio. It combines physical control on site with our operational expertise, for full autonomy while maintaining 麻豆原创鈥檚 support and compliance standards.
• Sovereign hyperscaler-based delivery models: 麻豆原创 partners with premium hyperscalers in specific markets to provide customers the ability to swiftly scale their resources based on their needs. This flexibility, paired with seamless integration, enables customers to innovate faster while maintaining operational efficiency.
• National sovereign cloud platforms such as Delos Cloud: For public sector customers in Germany, Delos Cloud combines hyperscaler technology with sovereign ownership and a nationally defined operating model, helping ensure regulatory alignment and clearly structured operational control.

麻豆原创 enables customers to select the model that aligns with their regulatory requirements, risk profile, and operational strategy.

Sovereignty is built, not declared

For customers, digital sovereignty is not a theoretical aspiration; it is an operational requirement that must function under real-world conditions. The IT-Grundschutz certification of 麻豆原创-owned data centers in Germany marks an important step in that direction.

As regulatory expectations evolve and sovereign requirements become more differentiated, 麻豆原创 continues to enable customers to choose the sovereign setup that aligns with their obligations and risk profile.

Sovereignty is ultimately measured by the ability to operate systems securely and reliably. With 麻豆原创 Cloud Infrastructure, that capability is deliberately embedded into the operating model.

Martin Merz is president of 麻豆原创 Sovereign Cloud.
Jonathan Bletscher is head of Global Cloud Infrastructure & Delivery for Global Cloud Operations at 麻豆原创.

Milan, Italy-based Campari Group is a global leader in the spirits industry. With a portfolio of more than 50 premium brands, including Aperol, Campari, Espol貌n, Wild Turkey, Courvoisier and Grand Marnier, the company markets its products in more than 190 countries and operates 24 production sites worldwide.

鈥淲e鈥檝e embarked on the RISE with 麻豆原创 journey to keep pace with innovations offered by 麻豆原创 Cloud ERP Private and embedded AI capabilities,鈥� said Jos茅 Silva, group head of IT at Campari Group. 鈥淭oday, we can reshape processes in line with business evolution, improve planning and make our supply chain more efficient鈥攅nsuring continuous product distribution worldwide. Moving to a centralized process model enables us to improve productivity and reduce TCO consistently.鈥�

The Campari Group go-live establishes an end-to-end digital architecture built on a core transformation backbone, embedded AI, data unification and IT landscape governance:

• At its foundation, Campari Group unifies finance, supply chain, marketing and human resources on the 麻豆原创 Analytics Cloud, 麻豆原创 Integrated Business Planning and 麻豆原创 Datasphere solutions as well as 麻豆原创 Business Technology Platform. This creates an integrated backbone for planning, analytics and application development.
• Embedded AI across 麻豆原创 solutions is enhancing both operations and employee experience. In 麻豆原创 SuccessFactors solutions, employees use the Joule solution and embedded AI to set and track goals, while 麻豆原创 Concur solutions automate expense matching. AI-assisted capabilities are streamlining order and payment posting, improving decision-making and optimizing operational costs.
• Campari Group is also implementing the 麻豆原创 Business Data Cloud solution to unify 麻豆原创 and third-party software data, delivering timely, contextual insights while preserving core business logic.
• Finally, Campari Group also adopted 麻豆原创 LeanIX solutions to map interdependencies between applications, processes and business owners, enabling more agile, informed decision-making.

鈥淐ampari is one of our best references in the food and beverage sector and is an excellent example of how 麻豆原创 solutions can transform organizational and production processes,鈥� said Carla Masperi, managing director, 麻豆原创 Italy. 鈥淏y combining cloud ERP with AI and data-driven planning, Campari is setting a new standard for digital transformation in the consumer products industry.鈥�

Visit the . Get 麻豆原创 news via  and .

Top image courtesy of Campari

Media Contact:
Raffaella Mollame, +39-340-7771644, raffaella.mollame@sap.com, CET
麻豆原创 麻豆原创 Room; press@sap.com

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

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

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

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

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

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

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

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

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

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About Reltio

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

About 麻豆原创

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

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2025 Annual Report on Form 20-F.
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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.

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

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

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

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

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

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

Learn about鈥痶hese or join the . 

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

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

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.

The reimagined portfolio, which includes the Foundational Success Plan, Advanced Success Plan, and Max Success Plan tiers, aims to deliver measurable results and a consistent, ongoing experience for customers. Designed to provide continuous engagement throughout each customer’s journey, the portfolio helps with adoption of the latest innovations and continuous value from a full investment in 麻豆原创 Business Suite.

The updated portfolio addresses the increasing need for organizations to adapt quickly to market changes, adopt AI-driven innovations and support business continuity. Each success plan offers clearly defined tiers of engagement, ranging from self-guided resources and proactive support to strategic and personalized partnership with dedicated experts. These tiers help customers select the right level of guidance for their unique needs.

Foundational Success Plan, included with every cloud solution from 麻豆原创, provides essential onboarding, technical cloud operations and preventive support. This plan is centered around, and expands upon, our well-known 麻豆原创 Enterprise Support offering and is designed to help organizations get solutions running efficiently, enable business continuity and achieve ongoing value. Customers benefit from curated content, learning resources, guided transformation with application lifecycle management solutions and preventive mission-critical support, enabled by AI and all built into the solution subscription at no additional cost.

Building on this, Advanced Success Plan adds specialized expertise and AI-assisted guidance. Organizations receive proactive support to detect risks and optimize processes, as well as activation sessions to deploy new functionality and refine operations. Enhanced-support service level agreements and intelligent tools help maintain peak performance and realize measurable business outcomes.

For enterprises navigating complex transformations, innovating quickly and striving to get the most out of AI, Max Success Plan offers 麻豆原创鈥檚 premium, strategic level of engagement. It includes all the benefits of Advanced Success Plan, plus dedicated success plan managers, cross-solution process improvement and access to customer-specific prototype development to accelerate offerings such as 麻豆原创 Business AI. This tier is built for organizations seeking a true strategic partnership, guiding modernization, reducing risk and accelerating value realization across their 麻豆原创 software landscape.

鈥淥ur evolved 麻豆原创 Services and Support portfolio is designed to help customers operate with ease and apply AI to drive business efficiency. It aims at mastering transformation, innovating at scale and turning decisions into action with clarity and impact,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淏y offering a unified, enterprise-wide engagement model, 麻豆原创 helps customers continually adopt and derive the latest innovations and realize reliable ROI throughout their entire journey.鈥�

Customers can further extend their experience with a streamlined set of professional, development and application management services that leverage 麻豆原创鈥檚 expertise and partner ecosystem. With this enhanced portfolio, 麻豆原创 reaffirms its commitment to orchestrating customer success and enabling organizations to run at their best in a rapidly changing world.

For more information, read the blog post: Orchestrating Continuous Transformation for Stronger Business Outcomes.

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Media Contact:
Martin Gwisdalla, +49 (6227) 7-67275, martin.gwisdalla@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 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.

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.

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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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Martin Gwisdalla, +49 (6227) 7-67275, martin.gwisdalla@sap.com, CET
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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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麻豆原创 is recognized in the 2026 Gartner庐 Magic Quadrant™ for Personalization Engines. 麻豆原创 Engagement Cloud now brings 麻豆原创鈥檚 trusted enterprise backbone to the customer experience, enabling organizations to connect customer insight and operational execution in real time. It builds on market-leading personalization capabilities.

麻豆原创 Engagement Cloud also incorporates AI鈥慹nabled insight to support responsible, efficient scaling of personalized engagement.

As part of this evolution, 麻豆原创 also announced 麻豆原创 Engagement Cloud, enterprise edition, which provides advanced administration, governance, and content and data鈥慶ontrol capabilities for organizations operating across multiple brands, regions, and teams.

鈥淭his approach helps organizations maintain consistency, compliance, and brand standards globally, which is increasingly important in an age of AI decision-making and automation, while also staying responsive to local needs,鈥� said Joanna Milliken, Head of 麻豆原创 Engagement Cloud.

For example, a global consumer goods company operating dozens of brands and regional teams can manage engagement roles, permissions, and data centrally while allowing local teams to execute the relevant interactions. When inventory levels, fulfillment delays, or service disruptions occur, engagement can adapt without manual coordination across disconnected systems.

Existing capabilities of the 麻豆原创 Emarsys solution remain available within 麻豆原创 Engagement Cloud. Customers can adopt new capabilities incrementally, based on their priorities and readiness. 麻豆原创 Engagement Cloud, enterprise edition, will be available beginning February 19, with additional innovations delivered through 麻豆原创鈥檚 innovation road map.

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Media Contact:
Mallory Kuno, +1 (425) 239-9362, 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.

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.

The hub is launched as armed forces and security institutions face increasing pressure to manage complex missions across allies, domains and supply chains while maintaining resilience, transparency and control. At the defense innovation hub, 麻豆原创 brings together software, data, AI and industry expertise to demonstrate how integrated digital systems translate strategic requirements into operational readiness. This enables comprehensive integration across key areas such as personnel readiness, logistics, procurement, manufacturing, training and maintenance. Together, these capabilities form the digital backbone required for real-world defense operations.

鈥淒efense readiness today is no longer defined by equipment alone: It is defined by how well people, processes and partners are connected,鈥� said Thomas Saueressig, member of the Executive Board of 麻豆原创 SE, Customer Services & Delivery. 鈥淚n an increasingly volatile security environment, armed forces need systems they can trust鈥攕ystems that are resilient, interoperable and sovereign. With our defense innovation hub, 麻豆原创 is demonstrating how digital platforms can strengthen operational readiness while preserving control, compliance and freedom of action.鈥�

A Hub Built on Munich鈥檚 Defense and Technology Ecosystem

Munich鈥檚 strong defense and technology ecosystem, combining innovative startups, established industry leaders, academic excellence and public institutions, provided the ideal setting for the new hub. Supported by the Technical University of Munich’s academic excellence and the presence of key government institutions, the Munich region is uniquely positioned for cross-sector collaboration. At today鈥檚 launch, the setting provided a fitting backdrop for hands-on demonstrations translating innovation into operational reality. Attendees experienced hands-on scenarios illustrating how 麻豆原创 for Defense & Security solutions connect people, assets and supply chains in a unified, more secure operational picture.

鈥淭he Technical University of Munich is pleased to collaborate with 麻豆原创 in translating advanced research into operational security and defense capabilities,鈥� said Chiara Manfletti, head of the Aerospace and Geodesy Department at TUM and scientific lead of the newly launched TUM Security and Defense Alliance. 鈥淎s technological innovation accelerates, strategic partnerships such as this ensure that cutting-edge scientific developments can be rapidly deployed to strengthen operational readiness.鈥�

The launch also served as a lead-in to this week鈥檚 Munich Security Conference, where questions of resilience, interoperability and technological sovereignty will dominate the agenda. Throughout the week, 麻豆原创 will continue engaging with policymakers and partners on how digital innovation can support security and defense in an increasingly fragmented world.

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Media Contact:
Dana Roesiger, +49 6227 7 63900, dana.roesiger@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 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.

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.

We believe this recognition reflects the continued momentum of in helping enterprises orchestrate real鈥憈ime, AI鈥憄owered engagement at a global scale, connecting data, channels, and experiences to drive measurable business impact.

Helping brands scale AI-powered engagement across channels

Leading brands鈥攊ncluding , John Frieda, PUMA, and Gibson鈥攗se 麻豆原创 Engagement Cloud to deliver connected, personalized journeys that increase engagement, accelerate growth, and build long-term customer loyalty.

According to the report, 麻豆原创鈥檚 ability to support enterprise鈥慻rade, real鈥憈ime engagement across channels remains a key differentiator. 麻豆原创鈥檚 personalization capabilities are powered by advanced segmentation, embedded AI decisioning, and intelligent triggering to deliver timely, relevant, and consistent experiences.

Organizations using 麻豆原创 continue to see measurable outcomes, including improved customer loyalty, higher conversion rates, and increased average order value.

Driving measurable business impact with event鈥慴ased and behavior鈥憀ed orchestration

We believe this year鈥檚 placement also reflects 麻豆原创鈥檚 strength in orchestrating engagement using real鈥憈ime behavioral, transactional, and operational signals across the business.

With 麻豆原创 Engagement Cloud, brands can activate journeys triggered by events occurring across their business to:

• Boost retention through timely, context鈥慳ware engagement
• Increase conversions with more relevant, personalized interactions
• Strengthen loyalty through connected, lifecycle-driven touchpoints

These results demonstrate 麻豆原创鈥檚 ability to move enterprises beyond channel execution toward true omnichannel orchestration.

Unifying customer experiences with native 麻豆原创 integration

麻豆原创 Engagement Cloud connects marketing, commerce, service, loyalty, sales, and operational data, creating a unified, real-time customer view that powers intelligent engagement across every touchpoint.

This bi鈥慸irectional flow of data gives every customer鈥慺acing team access to the same real鈥憈ime customer view, helping brands drive revenue impact, reduce churn, and improve service outcomes.

Global scale, flexibility, and trust

麻豆原创鈥檚 long鈥憇tanding global footprint and enterprise-ready architecture continue to support its leadership positioning. With a cloud鈥憂ative, composable foundation, embedded privacy and compliance capabilities, and a robust partner ecosystem, 麻豆原创 enables organizations to securely and reliably scale personalized engagement across regions and business models.

Whether operating in five markets or 50, enterprises rely on 麻豆原创 to deliver personalized experiences with confidence.

Customer success reflecting real鈥憌orld impact

Customers on Gartner庐 Peer Insights™ continue to recognize 麻豆原创 for ease of integration, deployment support, and customer partnership. Recent examples include:

• , which uses 麻豆原创 for CRM and marketing automation that supports interaction and communication with customers to increase buyback, retention, and loyalty. This includes CRM ads, push notification apps, personalization campaigns, e-mail and SMS campaign execution, and website and app personalization and recommendations.
• , which increased sales by 30% in three years by using 麻豆原创 solutions, to interact directly with customers within highly personalized omnichannel journeys.
• , which saw a more than 40% increase in CRM revenue and more than 150% in commerce traffic during the holiday season by using 麻豆原创 Customer Experience solutions that empower CHRIST to put customers at the center of everything the company does.

These results highlight the tangible value organizations are achieving with 麻豆原创鈥檚 AI-powered personalization capabilities.

We feel 麻豆原创鈥檚 recognition as a Leader in the 2026 Gartner Magic Quadrant for Personalization Engines underscores the strength of its strategy and continued innovation across 麻豆原创 Engagement Cloud. 麻豆原创 remains committed to helping brands activate data, personalize interactions, connect experiences, and scale engagement with confidence.

Visit 麻豆原创 Engagement Cloud area of sap.com to .

Sara Richter is CMO of 麻豆原创 Emarsys.

Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.
Gartner, Magic Quadrant for Personalization Engines, By , , , , 3 February 2026
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 & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

This isn鈥檛 just a consumer trend; it is reshaping engagement models across industries.

The Q4 2025 (麻豆原创 CX) release propels this transformation further with new out-of-the-box agents designed for customer service and the ability to easily build custom agents with Joule Studio. Additionally, AI features like predictive segmentation and AI-assisted reporting expedite planning and decision-making鈥攆oundational catalysts for future-ready businesses.

With WalkMe Premium now available across 麻豆原创 CX applications, teams can upskill and reskill with in-the-moment guidance. And 麻豆原创 Customer Loyalty Management takes new engagement models to the next level, helping businesses strengthen relationships and drive long-term growth.

Here, explore more of the highlights from the Q4 2025 release. And for full sub-solution details, see recaps for , , , , and .

Better customer engagement with out-of-the box agents and custom tools

With 麻豆原创, customer experience applications, data and AI come together as one鈥攑owered by 麻豆原创 Business Technology Platform. Whether it鈥檚 resolving an issue or managing inventory, CX applications connected to 麻豆原创 ERP keep processes running smoothly. AI agents take it further, by reasoning and acting directly in core processes, turning complexity into clarity. One of the most critical areas is in customer support.

• : Deliver instant and accurate self-service by putting knowledge at customers鈥� fingertips. Deflect common inquiries, resolve complex questions with AI, and escalate seamlessly to human agents when needed鈥攔educing contact center load while improving customer satisfaction.
  
  Digital Service Agent can be combined with , creating one conversational AI that handles the entire journey鈥攆rom product discovery and transaction to post-sales support. Customers can ask questions, get answers, and complete purchases in a single frictionless interaction. Together these agents unlock agentic commerce and intelligent service, which strengthens customer relationships and deliver experiences that truly stand out.

• : Create custom, business-ready AI agents for 麻豆原创 Customer Experience Cloud applications鈥攆ast and without complexity. Joule Studio, a part of , gives developers a powerful low-code, no-code environment to create and deploy AI agents and connect them seamlessly to Joule, 麻豆原创 CX apps and third-party systems. These agents can retrieve information, complete tasks, and run autonomous actions grounded in enterprise data from 麻豆原创 CX, 麻豆原创 Knowledge Graph, and non-麻豆原创 systems.
  
  For example, users can build a sales assistant agent that instantly pulls historical purchase records, analyzes buying patterns, and recommends the most relevant products or offers鈥攈elping sales teams increase conversion rates and shorten sales cycles. Learn how to .

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Boost insights and workforce skilling with AI-powered guidance

AI is no longer optional; it鈥檚 the engine behind smarter, faster customer engagement. As digital experiences raise the bar, customers expect speed, personalization, and simplicity in every interaction. Meeting those expectations requires more than automation. It demands AI-driven insights and skills that scale across the organization.

• : 麻豆原创 is embedding AI upskilling into the core of customer experience applications with WalkMe Premium for 麻豆原创 CX solutions. This solution empowers employees to work smarter and learn faster, driving better outcomes from day one. With real-time, role-based guidance and automation across , , , and , teams can unlock the full potential for 麻豆原创 CX solutions without complexity.

• : Easily generate custom reports and comparisons in 麻豆原创 Emarsys, and uncover campaign and customer insights instantly.

• : Enable service agents in 麻豆原创 Service Cloud to quickly understand key consumption trends for a premise. With AI-generated summaries of consumption graphs, agents can immediately identify usage fluctuations, anomalies, and important patterns to support faster resolution for utilities customers.
• : Check the overall health of the sales pipeline in 麻豆原创 Sales Cloud and display opportunities based on quantity and probability score.
• Promotion and account plan configuration: In , customers can configure promotion types and account plan types, defining scope, levels, spend, and baseline management, in order to enable flexible planning and support future indirect promotions.

• Engagement events: In 麻豆原创 Emarsys, ingest inbound events from external data sources to further enhance segmentation and personalization throughout the journey.
• (pilot): Use predictive AI segments in 麻豆原创 Emarsys to reach audiences that are most likely to engage based on a contact鈥檚 behavior, status, or channel preference.

Build lasting connections with 麻豆原创 Customer Loyalty Management

Customer loyalty is more than a metric; it鈥檚 a long-term strategy for growth. As expectations rise, organizations need solutions that create meaningful, lasting relationships. 麻豆原创 Customer Loyalty Management helps businesses deliver personalized experiences, reward trust, and strengthen engagement at every touchpoint, turning everyday interactions into enduring connections.

• : Empowers businesses with AI-driven insights to capture and unify customer data in a dynamic, cloud-based loyalty profile. These profiles provide deep insights into individual motivations, enabling smarter segmentation and highly targeted marketing campaigns. From managing global programs on a unified platform to forming strategic alliances and scaling initiatives for impact, 麻豆原创 helps transform loyalty into a measurable, powerful engine for sustainable engagement and success. 麻豆原创 Customer Loyalty Management has integrations for 麻豆原创 Service Cloud and 麻豆原创 S/HANA Cloud Private Edition to make the transformation faster.

The future of engagement is here, get ready with 麻豆原创

How we engage is changing faster than ever. 麻豆原创鈥檚 Q4 2025 innovations in customer experience anticipate this shift on every level. 麻豆原创 CX is enabling organizations to move beyond reactive strategies and into a world of proactive, personalized experiences.

Businesses that embrace and integrate these new models throughout their enterprise, pairing agentic AI with human intelligence and creativity, will set new standards for customer loyalty and growth.

Learn more about 麻豆原创 CX in Q4 2025

Read the 麻豆原创 Help documentation to get started with these new capabilities.

• 鈥�&苍产蝉辫;
•   
•   

Balaji Balasubramanian is president and chief product officer for 麻豆原创 Customer Experience and Consumer Industries.

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:
Lesa Plingen, +49 622 776 9000, lesa.plingen@sap.com, CET
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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.

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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.

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.

Recent geopolitical shifts and technological advancements have heightened the challenges for organizations responsible for society鈥檚 most critical functions, such as government, defense, and essential infrastructure.

As AI expands and global data exchange accelerates, the question of who controls the data that shapes economies and national strategies has become paramount, spurring interest in offerings. Governments and industries need to know exactly where their data lives, because that determines what laws apply.

Sovereign clouds answer this need by providing the foundation of digital trust and national resilience. 麻豆原创 pioneered the development of sovereign cloud services through its 麻豆原创 Sovereign聽Cloud offerings, which address all four pillars of digital聽sovereignty: data, operational, legal, and technical architecture.

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Recently, 麻豆原创 has built on this leadership by launching new sovereign cloud initiatives and partnerships designed to accelerate Europe鈥檚 digital transformation through secure, scalable,聽AI-driven聽sovereign聽cloud solutions that protect data and intellectual property.

Among these initiatives, 麻豆原创 announced new and expanded collaborations with Mistral聽AI, Bleu, and Capgemini at the Franco-German EU Summit on Digital聽Sovereignty last month. Together with Mistral聽AI, 麻豆原创 is launching Europe鈥檚 first full聽sovereign聽AI聽stack by integrating Mistral聽AI into 麻豆原创 Business Technology Platform and聽AI聽Foundation. This includes advanced capabilities that enable customers to build and deploy聽sovereign聽AI聽applications at scale. In parallel, Bleu and 麻豆原创鈥檚 Delos Cloud are forming a Franco-German alliance focused on resilience and digital聽sovereignty.

With these and other offerings, 麻豆原创 is shaping the debate over digital sovereignty and answering the call from customers for secure, scalable, sovereign solutions that enable companies to leverage and benefit from the immense advantages of the cloud and business AI.

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

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

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

Unify business planning with 麻豆原创 Business Data Cloud

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

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

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

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

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

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

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

Looking ahead

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

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

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

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.

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.

麻豆原创 now unites all existing milestones under a single strategic framework: a sovereign AI and cloud offering designed for Europe. 麻豆原创 now offers a truly full-stack sovereign cloud offering, empowering customers to select the right level of sovereignty and deployment for their needs, whether in 麻豆原创鈥檚 own data centers, on trusted European infrastructure or as a fully managed solution on-site.

EU AI Cloud supports EU data residency and full sovereignty, helping ensure that every organization can meet its unique regulatory and operational requirements.

Cohere: Unlocking Sovereign, Agentic and Multimodal AI Capabilities for European Enterprises

麻豆原创 and Cohere are joining forces to deliver frontier agentic AI capabilities with Cohere North, extending existing state-of-the-art multimodal AI capabilities through EU AI Cloud and sovereign offerings. Cohere North will be integrated into 麻豆原创 Business Technology Platform (麻豆原创 BTP), enabling customers with data residency constraints across industries to build robust, production-ready AI into their core business processes. Together, 麻豆原创 and Cohere will help enterprises unlock deeper insights, more accurate decision support and more intelligent automation across complex workflows without compromising on sovereignty, compliance or performance.

A Strong and Growing Ecosystem

EU AI Cloud is powered by a strong and growing ecosystem of leading European and global partners. By integrating advanced AI models and applications from partners such as Cohere, Mistral AI, OpenAI and others directly into 麻豆原创 BTP, EU AI Cloud delivers a pathway for building, deploying and scaling AI-powered applications. Customers can consume these partner offerings as SaaS, PaaS or IaaS, and deploy them flexibly across 麻豆原创鈥檚 own infrastructure or trusted European partners.

This collaborative approach ensures that European enterprises and public sector organizations benefit from the latest AI innovations securely, in full compliance with European standards and with the sovereignty and flexibility they require.

Deployment Choices for Every Security Profile

EU AI Cloud offers flexible deployment through 麻豆原创 Sovereign Cloud, giving customers full control across infrastructure, platform and software tailored to their regulatory and operational needs. AI models run on 麻豆原创鈥檚 software abstraction layer (麻豆原创 Cloud Infrastructure + 麻豆原创 BTP) in European data centers, ensuring compliance and independence from U.S. hyperscalers.

• 麻豆原创 Sovereign Cloud on 麻豆原创 Cloud Infrastructure (EU): 麻豆原创鈥檚 Infrastructure-as-a-Service (IaaS), developed with open-source technologies and operated within 麻豆原创鈥檚 European data center network. All data remains within the EU to ensure compliance with European data protection regulations.
• 麻豆原创 Sovereign Cloud On-Site: 麻豆原创-operated infrastructure offering within a customer-owned or customer-selected data center. It provides the highest levels of data, operational, technical and legal sovereignty while maintaining 麻豆原创 cloud innovation and architecture.
• Selected Hyperscalers per Market: For customers that choose to run 麻豆原创 commercial SaaS on global cloud providers, with sovereignty features as required.
• Delos Cloud: A secure and sovereign cloud solution in Germany, designed to support the public sector鈥檚 transformation and meet country-specific sovereignty requirements.

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About 麻豆原创

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

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

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
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The collaboration will combine 麻豆原创 enterprise application expertise with France鈥檚 vibrant AI ecosystem to create secure, scalable, AI-driven sovereign cloud solutions that protect data and intellectual property while advancing Europe鈥檚 digital transformation. The announcement took place at the Summit on European Digital Sovereignty in Berlin, where France and Germany emphasized strengthening European innovation and competitiveness.

鈥淓urope鈥檚 competitiveness depends on its ability to innovate without compromise by combining technological excellence with full digital sovereignty,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏y joining forces with France鈥檚 world-class AI ecosystem, 麻豆原创 is helping to build a trusted digital foundation for Europe where innovation is open, data is protected and technology truly serves people and progress.鈥�

Bleu and Delos Cloud: Franco-German collaboration supporting European digital sovereignty

In a volatile and dynamic geopolitical climate, Bleu and Delos Cloud have established a robust Franco-German alliance to safeguard Europe鈥檚 digital infrastructure. Bleu and Delos Cloud signed a mutual assistance commitment for technical and operational cooperation in extensive crisis and emergency scenarios. This includes technical and operational cooperation to help ensure rapid, coordinated crisis response, even in extreme scenarios, such as military conflict or cyberattacks.

This partnership includes enabling cross-border capabilities for early detection, analysis, defense and remediation of cyber incidents. By working together, Bleu and Delos Cloud strengthen Europe鈥檚 capabilities for resilience and digital sovereignty, supporting both crisis prevention and long-term stability.

Together with 麻豆原创, authorities and governments, Bleu and Delos Cloud are ready to make a central contribution to Europe鈥檚 digital sovereignty, helping ensure that critical infrastructure remains secure, resilient and under European control. Further details are available .

Capgemini: Driving Europe’s AI-driven digital and technology sovereignty

麻豆原创 and Capgemini are deepening their strategic partnership to strengthen cybersecurity and accelerate sovereign agentic AI-driven enterprise transformation solutions across Europe. Under the Franco-German industry alliance, both companies will sign a cooperation agreement and launch a Sovereign Technology Partnership, providing European organizations access to the spectrum of enterprise data management and migration services, cloud infrastructure and automation platforms, and agentic AI capabilities for European industries 鈥� including those in the public sector and regulated industries. By setting a new benchmark for trusted, compliant and resilient digital infrastructure, 麻豆原创 and Capgemini are helping enable European organizations to innovate securely and independently. Further details are available .

Mistral AI: Alliance for European sovereign AI

麻豆原创 and Mistral AI today announced an expansion of their strategic partnership to accelerate digital transformation and strengthen Europe鈥檚 technological sovereignty in artificial intelligence. The collaboration will provide organizations with the first full sovereign AI stack for Europe:

• Bringing together Mistral AI and 麻豆原创 products: 麻豆原创 will provide Mistral AI鈥檚 frontier AI, including Le Chat, through the sovereign AI Foundation on 麻豆原创 Business Technology Platform (麻豆原创 BTP). This joint offering will bring together the strengths of enterprise software and AI to deliver sovereign cloud solutions for Europe on sovereign AI data center. Mistral AI Studio will be integrated into AI Foundation, an 麻豆原创 solution empowering customers and partners to build and deploy sovereign cloud applications and AI agents securely, compliantly and at scale within their own environments. 
• Co-developing sovereign customer solutions: 麻豆原创 and Mistral AI will jointly design and develop industry-specific AI applications that leverage 麻豆原创鈥檚 technology leadership and Mistral AI鈥檚 expertise to solve complex engineering and R&D challenges and unlock new business value.

This joint effort is the next step to enabling sovereign AI across the continent on European terms. AI Foundation in 麻豆原创 Business Technology Platform serves as an integration layer that offers 麻豆原创 Business AI across virtually any infrastructure. Mistral AI and 麻豆原创 lay the foundation together with partners and endorsed by governments for scalable and compliant AI solutions in Europe, covering sovereign AI from the hardware to the platform and applications to the user interface.  

A dedicated sovereignty pillar will serve European public services and regulated sectors, starting in Germany — and extendible to a wide variety of industries. By integrating Mistral鈥檚 AI capabilities into 麻豆原创鈥檚 cloud infrastructure for Europe, the partnership enables secure, scalable AI deployments tailored to local requirements.

A unified vision for Europe鈥檚 digital sovereignty

These partnerships form a key part of 麻豆原创鈥檚 broader 麻豆原创 Sovereign Cloud solutions to strengthen Europe鈥檚 digital sovereignty and unlock the potential of AI. 麻豆原创 is accelerating its investment in European sovereignty, deploying the 麻豆原创 Cloud Infrastructure service across local data centers and allocating over 鈧�20 billion to sovereign cloud and AI solutions. By combining trusted governance and rigorous compliance with the ability to maintain control over data and assets while deploying some of the best available technologies on European terms, 麻豆原创 is creating a resilient digital foundation for governments, public institutions and enterprises under European control.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

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

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

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

For more information, press only:
Dana Roesiger, +49 6227 7 63900, dana.roesiger@sap.com, CET
Clara Villanueva, +1(610) 661-5176, clara.villanueva@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. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see for additional trademark information and notices.
Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact press@sap.com and write Unsubscribe in the subject line.鈥�

The collaboration aims to deliver secure, scalable, and AI-driven sovereign cloud solutions that advance Europe鈥檚 digital transformation while maintaining control over data and infrastructure.

Here, we explore the main takeaways from the partnership and its broader implications.

Q: What is the main objective of the 麻豆原创-Mistral AI partnership?

A: 麻豆原创 and Mistral AI are strengthening their alliance by combining 麻豆原创鈥檚 enterprise expertise with Mistral AI鈥檚 cutting-edge AI technology. The partnership is designed to accelerate the rollout of AI-driven solutions across industries, echoing the pace of major U.S. tech partnerships. By jointly offering frontier AI from Mistral AI with 麻豆原创鈥檚 leading enterprise platform, the collaboration is making sovereign AI a practical reality for Europe鈥攇rounded in a shared commitment to innovation and digital sovereignty.

Q: What are the technical highlights of the partnership?

A: The partnership builds on 麻豆原创鈥檚 locally hosted AI, introduced in 2024, which already allows customers to access leading AI models on 麻豆原创-operated infrastructure. The next phase will see 麻豆原创 providing Mistral AI鈥檚 frontier models and products through a sovereign AI foundation on 麻豆原创 Business Technology Platform (麻豆原创 BTP). Mistral AI Studio and Le Chat will be integrated into 麻豆原创鈥檚 AI Foundation, enabling customers and partners to build and deploy sovereign AI applications and AI agents within their own environments, without compromising data sovereignty or regulatory compliance.

麻豆原创 and Mistral AI will jointly design and develop industry-specific AI applications to unlock new business value. A dedicated sovereignty pillar will serve European public services and regulated sectors, starting in Germany, and can be extended to any industry. Both partners will also co-sell on joint opportunities.

Q: Why is this partnership strategically important for Europe?

A: Both 麻豆原创 and Mistral AI emphasize that Europe鈥檚 competitiveness depends on its ability to innovate without compromise, combining technological excellence with full digital sovereignty. The partnership is designed to ensure that European organizations can leverage cutting-edge AI while retaining control over their data, infrastructure, and future direction.