NEWS 8 - The World Management

25 February

Staying Ahead of Packaging and Plastics Regulations with AI-Driven Capabilities: New Updates to SAP Responsible Design and Production

With the rapid expansion of regulations concerning packaging and packaging waste, such as the extended producer responsibility (EPR), and plastic taxes, organizations face the pressing challenge of adapting quickly to remain compliant and competitive.

Since 2021, SAP Responsible Design and Production has been SAP’s solution for calculating EPR fees across markets. At that time, the number of jurisdictions with installed mandatory EPR was around 60. By 2030, that number is expected to grow to 200.

With an evolving regulatory landscape, SAP has implemented new updates within the solution to help ensure that customers can navigate diverse reporting requirements, deadlines, and fees while increasing accuracy, reducing fees and exposure, and improving insights. Read on for updates about recent innovations and how the solution combines enterprise data with information about local and global regulations to help calculate obligations like the EU Packaging and Packaging Waste Regulation (PPWR).

Meet EPR regulations with a flexible, AI-driven, and configurable approach

To date, SAP Responsible Design and Production has supported customers in meeting EPR requirements with out-of-box report categories that are pre-configured based on country. However, the new global regulatory landscape necessitates a more flexible approach.

Enterprises need solutions that enable them to:

Understand obligations and quickly adapt to new or changing regulations.
Prepare the data, consolidating from many sources.
Prepare reports, which requires custom reporting logic based on specific business contexts; reuse of rules and fee structures across similar reporting schemes or producer responsibility organizations (PROs); and calculating EPR fees against shipments and printing the results on invoices to show customers the breakdown between product costs and indirect taxes.

Screenshot of SAP Responsible Production and Design, report calculation rules

To address these challenges, SAP Responsible Design and Production introduced user-defined reports to help enable customers to design their own sustainability reports, tailoring them to match unique regulatory logic, business context, and compliance requirements.

With new innovations in SAP Responsible Design and Production, users can:

Structure reports according to the specific rules, PRO requirements, and fee models relevant to their business.
Precisely narrow down to the packaging and transactional data that is being reported.
Satisfy complex requirements with multiple dimensions used in report output structure.
Integrate reports with external and third-party recyclability guidelines assessments.
Report and comply with the increasing number of PROs that have incorporated eco-modulated ERP fees with eco-modulation grading capabilities.

AI capabilities enhance efficiency and accelerate readiness

The SAP Sustainability portfolio can deliver AI-led operational transformation by capturing sustainability data at the source and embedding intelligence directly into core business processes, thereby enabling continuous improvement at scale. In SAP Responsible Design and Production, two AI cases involving user-defined reports are in beta testing:

SAP Responsible Design and Production, AI-assisted user-defined report explanations

This capability uses AI to analyze and describe how developed extended producer responsibility rules contribute to the assessment results of selected product packaging. During the development of user-defined report categories, EPR report specialists may struggle to understand why a given packaging was categorized in a certain way or not categorized at all. The AI use case is intended to help resolve and simplify an error-prone process by which specialists manually recheck packaging data and reevaluate rules.

SAP Responsible Design and Production, AI-assisted rule creation for user-defined reports

This capability uses AI to translate from regulatory language to system rules, empowering packaging compliance managers to create and validate EPR reporting rules faster and with higher accuracy. The AI use case is intended to help reduce manual effort, avoid costly compliance errors, and accelerate report readiness across markets.

Prepare for future compliance and competitive advantage using AI

The EU PPWR is coming, and most companies aren’t ready. PPWR introduces significant obligations for all economic operators placing packaged goods on the EU market. Brand owners, importers, packaging manufacturers, distributors, and digital marketplaces are all impacted. To mitigate risk and ensure readiness, businesses must take immediate action to assess and adapt packaging materials, data systems, and regulatory reporting.

The detailed packaging data management offered by SAP Responsible Design and Production will help enable organizations to efficiently handle PPWR compliance. With robust data capture and flexible reporting, companies can anticipate regulatory changes and maintain transparency throughout their packaging supply chain.

SAP Responsible Design and Production is working on Article 5 document of compliance capability, recyclability assessments using real product shipment data, so you can assess which changes have the biggest impact. Stay tuned for future announcements from SAP on this topic.

An ERP-centric framework for many business outcomes

By enabling organizations to build reports that align with their changing needs, SAP Responsible Design and Production can ensure that compliance remains agile, scalable, and future-ready. The solution can connect design, production, and regulatory demands to enable organizations to minimize waste, optimize costs, and adhere to global sustainability standards.

Unlike standalone compliance tools, SAP Responsible Design and Production operates within an ERP-centric framework, helping to ensure seamless integration with existing SAP solutions for product master data and transaction data.

Traditional, manually intensive processes are not enough to keep pace with regulations and ensure competitive advantage by unlocking data insights. One SAP Responsible Design and Production customer recently confirmed that using the solution was four times faster and less expensive than manual processes with a spreadsheet or using consultants.

With SAP Responsible Design and Production, your organization can be empowered to respond swiftly and confidently to regulatory changes, working to ensure compliance while freeing your teams to focus on business impact that matters.

Screenshot of SAP Responsible Production and Design

Listen to the recent webinar recording to discover how businesses can address upcoming PPWR requirements with SAP solutions.

Learn more about user-defined report capabilities here or request a demo of SAP Responsible Design and Production. Read these customer stories:

Gunther Rothermel is chief product officer for SAP Sustainability.

25 February

BUSINESS NEWS

Business Networks Remove Friction from Global Commerce While Adhering to National Electronic-Invoicing Standards

by tempuser_3800301135 0 Comments

At a time when business-to-business commerce can be orchestrated with the touch of a screen, buying and selling across geographic borders has become increasingly frictionless.

But what happens when the bill comes due, so to speak, from local jurisdictions? How may a business transact commerce globally while adhering to an emerging set of electronic-invoicing requirements that differ among countries?

Global visibility across multiple tiers of the supply chain

As global supply chains weather shifting tariff policies, geopolitical tensions, and climate events, business leaders have turned to cloud-based business networks to instill operational resilience, extend transparency, and foster collaboration. The convergence of data, applications, and artificial intelligence capabilities enable businesses to manage supply chains, procurement, logistics, asset maintenance, working capital, dynamic discounting, and other crucial interdependencies with comprehensive reach. Yet just as digital platforms foster connected commerce, they also facilitate regulatory oversight of the very same activity. That which simplifies business processes can at the same time invite complexity in the regulations governing them, particularly when the fine print varies by jurisdiction. Call it a paradox of procurement, or an irony of the intelligent enterprise.

The proliferation of legislation mandating electronic invoicing reflects a desire on the part of governments to bolster tax compliance, streamline financial reporting, combat fraud, and document the ethical sourcing of product components. To aid with compliance in the jurisdictions where they transact, SAP Business Network can support buyers and suppliers alike with the necessary workflows for invoice generation, submission, receipt, and storage—all while safeguarding otherwise confidential data. Our electronic-invoicing strategy prioritizes business-to-business collaboration by providing localization support for 41 countries, tailoring requested data to required format, and connecting businesses directly with trading partners and tax authorities. SAP Business Network can integrate seamlessly with government electronic-invoicing portals through partners as well as through SAP Document and Reporting Compliance.

Electronic-invoicing capabilities take shape around emerging legislation

Already in 2026, new electronic-invoicing mandates have taken effect in Belgium, Brazil, and Poland, with the United Arab Emirates and France set to follow suit later in the year. Though it takes shape differently around the world, the trend toward electronic invoicing is unmistakable. Requirements range from periodic reporting to continuous transparency, from preapproval of transactions by tax authorities to notification after the fact, from country-specific formats to continent-wide platforms, and so on. In India, Malaysia, and Romania, for example, suppliers must clear invoices with tax authorities, whereas in Belgium, Germany, and Japan invoices must conform to a particular format. In France and the United Arab Emirates, meanwhile, a specific platform or network must be engaged. Italy requires businesses to issue and receive invoices via its Sistema di Interscambio (SDI) platform, using a country-specific XML format called FatturaPA. By contrast, Germany permits UBL, CII, and ZUGFeRD formats but takes an ambivalent approach as to method of transmission.

For each of these countries, SAP Business Network can provide a solution. Connectivity to Italy’s SDI portal is natively embedded, obviating any need for additional licensing. For Germany, invoices sent through SAP Business Network arrive in the UBL format. Organizations with a license for the cloud edition of the SAP Document and Reporting Compliance solution can even receive invoices originating outside SAP Business Network, such as via e-mail or the pan-European Peppol procurement system.

Not only can SAP Business Network accommodate the different formats set into law, but other invoicing attributes as well. Consider the obligation to archive. In Germany, invoices must be kept on hand for eight years. In France, it’s a decade. Elsewhere, mandates vary or may not apply. SAP Business Network offers the flexibility to match business rules, or the parameters set by organizations within which transactions may proceed with trading partners, to all manner of regulatory requirements. This can prove especially valuable with orchestrating documents and processes that span sourcing, procurement, and finance—corporate functions that, prior to the advent of cloud-based networks, had often operated in relative isolation. SAP Business Network can also provide businesses with the end-to-end visibility and—equally important—the analytics to assess performance, gauge against benchmarks, and identify opportunities for growth and collaboration.

For the emerging set of electronic-invoicing mandates across the globe and other compliance-related processes, businesses must prepare. That’s because no matter where commerce takes place or in which local currency, C-suite leaders understand one thing is priceless: peace of mind. Only a cloud-based network supple enough to carry out operational processes on a global scale yet sufficiently nimble to adhere strictly to electronic-invoicing requirements and other regulations that typically arise on a national level can instill the confidence that businesses need to thrive in these turbulent times.

Learn how SAP Business Network can accelerate value for suppliers by streamlining business processes, increasing visibility, and connecting to new buyers.

Jörn Keller is executive vice president and chief product officer for SAP Business Network.

25 February

BUSINESS NEWS

Meet the Hasso Plattner Founders’ Award Finalists: “Emerging Ideas”

by tempuser_3528357508 0 Comments

Six teams are competing for the highest employee recognition at SAP: the Hasso Plattner Founders’ Award. Starting this year, the Hasso Plattner Founders’ Award comes with a modified, more focused approach. It now consists of two categories: “Scaling Innovation” and “Emerging Ideas.” Both reflect a different type of breakthrough thinking and the various ways in which innovation drives SAP’s success. This year’s award theme is AI.

Following the presentation of the “Scaling Innovation” category finalists, we now turn to “Emerging Ideas,” which honors visionary concepts at an earlier stage—projects that explore new architectural directions, challenge established models, and open long-term strategic opportunities for SAP and its customers. The winners will be announced during the award ceremony on March 26, 2026.

SAP Cognitive Twin Enterprise (CTE)

Modern enterprises are very effective at monitoring their business and analyzing vast amounts of data, yet many still see untapped potential in safely testing complex scenarios end to end and turning insights into cross‑functional, policy‑aligned options before making mission‑critical decisions. SAP Cognitive Twin Enterprise (SAP CTE) addresses this gap by creating an AI‑powered digital brain built on a continuously updated model of the whole organization. It runs what‑if simulations and provides governed recommendations on SAP applications and data across finance, spend, supply chain, HR, and customer experience, with selective, low‑risk auto‑execution and human‑in‑the‑loop control for higher‑risk steps.

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

Hasso Plattner Founders' Award Finalist: SAP Cognitive Twin Enterprise

SAP CTE’s real differentiator is its enterprise‑wide scope. It consolidates existing SAP capabilities and builds on SAP Signavio solutions, SAP Business Data Cloud, and SAP Knowledge Graph to maintain a shared semantic model of how the whole business runs. This cross‑domain intelligence lets Joule and AI agents optimize complex trade‑offs—such as cost versus service level versus carbon footprint versus operational risk—across all functions, rather than pushing problems from one silo to another. At the same time, SAP CTE provides a safe innovation environment: enterprises can trial new pricing strategies, network configurations, and workforce models in a production‑grade twin before agents execute changes in live systems.

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

“SAP CTE is more than an initiative: it’s our vision for a new era of connected intelligence. We’re bringing strategy, data, and execution into one continuous system of insight, so customers don’t just react to change—they anticipate what’s next and shape it. That’s how we win and grow together,” said Natalia Aksakova, Strategy & Portfolio at Global Finance and Administration.

Finalist fast facts

Submission Title: SAP Cognitive Twin Enterprise (CTE)
Team: Natalia Aksakova, Silvina Guastavino, Cvetelina Dizova, Dorothee Hofstetter, Ekaterina Pechenina, Janine Weissenfels, Holger Handel, Michael Emerson
Project: It explores an AI-driven cognitive model of the enterprise that connects data, planning, simulation, and AI agents into a governed decision-and-execution loop. It enables organizations to test scenarios, anticipate risks, and act proactively across finance, spend, supply chain, HR, and customer experience domains.
Impact: It positions SAP at the forefront of cognitive enterprise architecture by shifting from reactive systems of record toward predictive, simulation-driven, AI-supported decision-making and execution.

SAP Signavio Transformation Advisor

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

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

Hasso Plattner Founders' Award Finalist: SAP Signavio Transformation Advisor

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

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

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

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

Finalist fast facts

Submission Title: SAP Signavio Transformation Advisor
Team: Alexander Cramer, Matthias Wiench, Shehab Shalan, Rolan Badrislamov
Project: It is an AI-powered solution that analyzes business inputs and generates structured, actionable transformation recommendations connected to SAP Signavio Process Insights.
Impact: It significantly reduces transformation analysis time, lowers reliance on manual consulting efforts, and enables organizations to move from strategy to execution faster and more confidently.

AURA (Asset Understanding & Reliability AI)

Field engineers maintaining critical infrastructure face a frustrating reality: reporting asset faults requires completing complex forms on mobile devices, scrolling through endless dropdowns and codes. At Transport for New South Wales (TfNSW), 300 users report 400 to 1,000 asset faults monthly through SAP S/4HANA, but the process is slow, manual, and error prone. A single classification mistake can send the wrong maintenance crew and delay urgent fixes.

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

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

Hasso Plattner Founders' Award Finalist: AURA (Asset Understanding & Reliability AI)

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

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

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

“We believe the future of AI is not replacing people, but elevating them,” said Ruth Peng, AI specialist from SAP HANA ANZ. “AURA equips every engineer in the field, from junior to expert, with the confidence to perform at their best.”

Finalist fast facts

Submission Title: AURA (Asset Understanding & Reliability AI)
Team: Ruth Peng, Shuba Dutta, Shonali Kellogg
Project: It uses AI-driven image recognition and enterprise integration to automate fault reporting in SAP S/4HANA. Engineers can upload photos of faulty assets and the system generates structured reports automatically.
Impact: It reduces reporting time by up to 80%, lowers classification errors, and improves operational efficiency in asset-intensive environments.

20 February

BUSINESS NEWS

SAP Renames SAP Emarsys Solution to SAP Engagement Cloud, Advancing Its Enterprise Engagement Strategy

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WALLDORF — SAP SE (NYSE: SAP) today announced that the SAP Emarsys solution has been renamed to SAP Engagement Cloud reflecting SAP’s strategy to make engagement a core enterprise capability across the SAP portfolio.

SAP is recognized in the 2026 Gartner® Magic Quadrant™ for Personalization Engines. SAP Engagement Cloud now brings SAP’s 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.

SAP Engagement Cloud also incorporates AI‑enabled insight to support responsible, efficient scaling of personalized engagement.

As part of this evolution, SAP also announced SAP Engagement Cloud, enterprise edition, which provides advanced administration, governance, and content and data‑control capabilities for organizations operating across multiple brands, regions, and teams.

“This 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,” said Joanna Milliken, Head of SAP 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 SAP Emarsys solution remain available within SAP Engagement Cloud. Customers can adopt new capabilities incrementally, based on their priorities and readiness. SAP Engagement Cloud, enterprise edition, will be available beginning February 19, with additional innovations delivered through SAP’s innovation road map.

Visit the SAP News Center. Get SAP news via LinkedIn and Bluesky.

Media Contact:
Mallory Kuno, +1 (425) 239-9362, mallory.kuno@sap.com, ET
SAP Press 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 SAP’s 2024 Annual Report on Form 20-F.
© 2026 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices.

19 February

BUSINESS NEWS

SAP Proposes Dividend of €2.50 per Share

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WALLDORF, Germany — February 19, 2026 — The Supervisory Board and Executive Board of SAP SE (NYSE: SAP) recommend that shareholders approve a dividend of €2.50 per share for fiscal year 2025. This is an increase of €0.15, or 6.4% compared to the dividend paid for fiscal year 2024.

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

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

The following dates are relevant for the dividend payment:

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

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

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

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

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

_{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 SAP’s 2024 Annual Report on Form 20-F.
© 2026 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices.}

18 February

BUSINESS NEWS

Meet the Hasso Plattner Founders’ Award Finalists: “Scaling Innovation”

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

SAP Joule for Developers, ABAP AI capabilities

As organizations worldwide accelerate their transition to SAP S/4HANA, one reality remains unchanged: ABAP continues to power the core of SAP’s technology and the mission‑critical business processes that run on it. At the same time, developers working with this backbone technology have long lacked the modern AI‑driven tooling available in other programming ecosystems—an issue that becomes even more pressing during large‑scale transformation projects.

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

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

Hasso Plattner Founders' Award Finalist: SAP Joule for Developers, ABAP AI capabilities

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

SAP Joule for Developers, ABAP AI capabilities already serve thousands of developers across more than 280 customers, 470 partners, and 6,500 internal ABAP developers, with adoption growing rapidly inside SAP and across the ecosystem. Evolving from a 2023 proof‑of‑concept to enterprise availability in 2025, the project stands as a testament to what cross‑organizational collaboration between ABAP, AI, and SAP S/4HANA teams can achieve—bringing innovation to one of SAP’s most essential developer communities.

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

Finalist fast facts

Submission Title: SAP Joule for Developers, ABAP AI capabilities
Team: Jasmin Gruschke, Hasan Al Abed, Manuel Berning, Cristina Buchholz, Thomas Alexander Ritter, Ashok Veilumuthu, Amey Tathawadekar, Tobias Melcher, Cristina Diana Popa, Steffen Bickel
Project: Delivers advanced AI capabilities that modernize and accelerate ABAP development. It supports developers with intelligent code assistance, automated analysis of legacy logic, and fast generation of modernization proposals. By embedding AI directly into development and migration workflows, it reduces manual effort and helps teams modernize systems with greater speed and confidence.
Impact: It shortens modernization timelines by turning weeks of manual code analysis into hours. It is widely adopted across more than 280 customers, 470 partners, and 6,500 SAP developers, improving productivity, code quality, and migration accuracy.

SAP Document AI

Modern enterprises face a growing obstacle in an increasingly data‑intense world, reflected in the rapid proliferation of unstructured business documents. From invoices and purchase orders to contracts and shipping papers, companies are drowning in information that demands time‑consuming manual processing. SAP Document AI tackles this challenge head‑on by transforming the way enterprises extract, process, and act on document‑based data.

Today, more than 30,000 customers rely on the solution to process billions of documents, embedded seamlessly across SAP’s core applications. SAP Document AI delivers enterprise‑grade automation without costly integrations or extensive model training, enabling businesses to accelerate workflows, reduce errors, and improve decision‑making at scale. Real‑world customer data shows the tangible impact: automated document processing powered by SAP Document AI generates an estimated €2.6 billion in annual business value.

Hasso Plattner Founders' Award Finalist: SAP Document AI

SAP Document AI is now natively integrated into 32 business processes across SAP S/4HANA, SAP Business Network, SAP Concur solutions, SAP Fieldglass solutions, SAP SuccessFactors solutions, the SAP Customer Experience portfolio, and SAP BTP, with dozens more use cases in development. This deep embedding of “everyday AI” into products that are already in use by customers is a key driver of adoption across SAP’s global installed base.

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

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

Tobias Weller, chief product owner and team lead, states: “We built SAP Document AI to deliver measurable business value at global scale, securely, responsibly, and embedded in everyday processes, demonstrating SAP’s ability to operationalize AI at massive scale.”

Finalist fast facts

Submission Title: SAP Document AI
Team: Tobias Weller, Tomasz Janasz, Christoph Lenschow, Smita Naveen, Hongxin Shao, Ashish Kumar, Nay Lin Aung, Komal Narsinghani, Subashini Rengarajan, Sebastian Koebe
Project: It introduces scalable AI that automates the extraction and understanding of unstructured business documents across SAP’s portfolio. It streamlines end‑to‑end processing, eliminates manual data entry, supports more than 110 languages, and embeds intelligent automation into 32+ SAP processes—making document handling faster, more accurate, and effortless for organizations of all sizes.
Impact: By automating billions of documents for over 30,000 customers, this solution generates an estimated €2.6 billion in annual business value. It reduces errors, accelerates workflows, and drives adoption of embedded AI across SAP applications. Rapid scaling, multilingual coverage, and rising platform usage highlight its measurable enterprise‑wide impact.

SAP SuccessFactors Learning: GenAI Content Generation

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

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

Hasso Plattner Founders' Award Finalist:SuccessFactors Learning: GenAI Content Generation

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

Early validation shows organizations can produce learning content five times faster, dramatically reducing costs and enabling teams to respond more quickly to shifting skill demands. Subject-matter experts throughout the organization can now create content and share knowledge more effectively—without requiring instructional design expertise. By transforming knowledge into structured, scalable learning experiences, the capability helps organizations strengthen agility, boost employee engagement, and ensure continuous upskilling across the enterprise.

Team lead Neha Dhawan, principal product manager, SAP SuccessFactors Learning, describes the impact of the project: “We’re not just building technology, we’re building possibilities—for admins to move faster, for managers to better support their teams, and for learners to experience content that feels personal and meaningful. If we can make learning more accessible and inspiring, then we’ve created something that truly matters.”

Finalist fast facts

Submission Title: SAP SuccessFactors Learning: GenAI Content Generation
Team: Max Schneider, Neha Dhawan, Josh Passman, Michelle Dachow, Gregor Boltz, Madhavi Aji
Project: An AI-driven approach that transforms raw knowledge into complete learning experiences within SAP SuccessFactors Learning. It generates courses, quizzes, translations, and skill tagging from simple prompts or files, speeding up creation and ensuring global scalability.
Impact: It cuts content development time by a factor of five, reduces costs, strengthens knowledge sharing, and enables organizations to upskill faster and stay agile in rapidly changing AI-driven work environments.

17 February

BUSINESS NEWS

SAP Launches New Innovation Hub in Munich, Bringing Together and Enabling Experts Dedicated to Defense

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SAP has launched our new defense innovation hub, a dedicated environment designed to accelerate secure, mission-ready results across the defense ecosystem.

The hub brings together startups, academia, industry leaders, and defense organizations to co-create solutions that strengthen digital sovereignty, operational resilience, and readiness in response to threats to safety and security.

The launch comes at a pivotal moment. Defense organizations worldwide are shifting from traditional modernization to full digital transformation, with missions increasingly dependent on secure data flows, resilient supply chains, and systems that remain trusted even under stress. In addition, digital sovereignty has become a core component of readiness, requiring architectures that ensure customers maintain full control of their data and operations.

The launch took place in Munich, a new “Silicon Valley” for defense innovation, and featured customers, partners, academics, government officials, and representatives from SAP. The city offers a uniquely powerful foundation for the hub, gathering a fast-growing community of startups, leading research institutions such as the Technical University of Munich (TUM), and established aerospace and defense leaders. The hub unifies the strengths of these experts, connecting them so that they can coordinate their capabilities to meet defense needs rapidly and efficiently.

More than just a physical space, the hub introduces a new framework that breaks down silos and enables a powerful ecosystem that drives defense innovations. Creative startups, leading industry experts, government organizations, academia, and researchers can come together to make ideas mission-ready more quickly and securely, while maintaining the digital sovereignty necessary to protect information and maintain trust.

SAP's launch of the defense innovation hub in Munich

As a leading technology provider for the hub, SAP acts as an enabler, not just an operator. Through our contributions, we have reaffirmed our role as a neutral technology partner, delivering secure digital platforms while leaving mission decisions entirely in customers’ hands.

Our long-standing experience and time-tested technology have proved the ability to perform under uncertainty and stress, a must for the readiness that defense demands, providing cyber-resilient architectures and real-time visibility into logistics during crises, as well as full governance and transparency.

Our cloud operations model, auditability frameworks, and strict access controls keep mission-critical systems secure, verifiable, and compliant.

With SAP’s involvement and support, the hub represents a significant step forward for defense innovation, serving as an important catalyst in a location with the potential to become a global center for the defense industry.

Andre Bechtold is president of SAP Industries & Experiences.

Photography courtesy of Norbert Steinhauser.

16 February

BUSINESS NEWS

Royal Greenland CIO: “We Want to Consume Standardized AI, Not Invent It”

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The goal is clear for Royal Greenland and its more than 40 plants and factories along the coast of Greenland and Atlantic Canada: a more standardized, cloud‑based landscape with significantly lower complexity, and a technological foundation that can support future AI initiatives.

Headquartered in Nuuk and 100% owned by the Government of Greenland, Royal Greenland is modernizing its SAP platform and moving from on premise to cloud ERP in order to future‑proof core processes and unlock embedded AI across its SAP business applications.

“We are moving from our existing setup to SAP Cloud ERP and SAP Business Data Cloud because we want access to the capabilities you can consume on a cloud platform,” said Lars Bo Hassinggaard, CIO at Royal Greenland for more than 25 years.

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

The project follows the structured RISE with SAP 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 “Lean Selective Data Transition” method.

“We are keeping 10 years of data and cleaning up, so we avoid outdated company codes and historical data that no longer create value,” Hassinggaard explained. “We’ve 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.”

Technology first, innovation next

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

“Royal Greenland and SAP have worked together since 1998, and we look forward to getting started on the technical part of the platform uplift this January,” Hassinggaard shared. “We’re 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.”

Royal Greenland is following a classic waterfall approach and has already established a “golden shell” as the basis for further configuration and retrofitting.

SAP 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‑house experiments to standardized, “consumed” AI

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

“We are a company that prefers to tap into existing AI solutions rather than invent them ourselves,” Hassinggaard said. “It’s far more efficient for us. There is no reason for us to spend resources reinventing what SAP already provides. The initial focus will be on process optimization within administrative functions such as finance—small AI agents that can streamline daily work.”

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

Hassinggaard is clear that the RISE with SAP contract, methodology, and preparation work require time and organizational maturity. His advice to other companies facing a similar cloud ERP decision: “Do it thoroughly—and allocate more time than you think. Study the methodology, pricing, and contracts. And bring a competent advisor on board.”

Ellen Vig Nelausen is an integrated communications expert for SAP Regional Communications.

12 February

BUSINESS NEWS

Why Customer-Specific AI Will Define the Next Era of the Automotive Ecosystem

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The automotive industry has always been a bellwether for technological change. From mass production to lean manufacturing, from embedded software to connected vehicles, each wave of innovation has reshaped not just cars but entire ecosystems. Today, artificial intelligence is doing the same—quietly, decisively, and at scale. While much of the public conversation around AI in automotive focuses on autonomous driving or in-car experiences, the real transformation is unfolding behind the scenes, in how vehicles are designed, launched, serviced, and sustained over their lifecycle.

According to industry estimates, auto executives expect AI to boost product value by 22% and digital service value by 37% within three years. As vehicle portfolios expand—electric, hybrid, software-defined, and increasingly customized—the operational complexity for automakers and suppliers has risen sharply. Nowhere is this more evident than in service parts management and new product introduction (NPI).

Service parts planners sit at the intersection of engineering, supply chain, manufacturing, and customer service. Their task is deceptively simple: ensure the right parts are available at the right time and place across a vehicle’s lifecycle. In reality, they grapple with fragmented data, limited inventory visibility, unpredictable demand signals, and compressed timelines—especially as new models and components are introduced at unprecedented speed. High data quality, tight orchestration across systems, and rapid decision-making are no longer nice to have, they are business-critical.

This is where customer-specific AI becomes transformative. Instead of treating NPI as a linear, manual, and reactive process, AI agents can fundamentally reimagine how service parts planning is executed. By embedding AI directly into the planning workflow, service parts planners are supported—not replaced—by intelligent systems that operate with full contextual awareness. These AI agents can monitor real-time data across inventories, supplier readiness, historical demand patterns, external risk factors, and engineering changes, as well as orchestrate the NPI process end to end.

In practice, this means planners move from firefighting to foresight. AI agents can automate sequential NPI steps, flag potential bottlenecks before they materialize, and dynamically adjust plans as conditions change. A single, unified dashboard provides transparency across the entire process, while built-in what-if simulations allow planners to test scenarios—supplier delays, demand spikes, geopolitical disruptions—before decisions are locked in. Crucially, humans remain firmly in control. AI augments judgment, improves speed, and enhances confidence, rather than operating in a silo.

Platforms like SAP Business Technology Platform (SAP BTP), combined with Joule and the agent builder capability in Joule Studio, can enable this multi-agent approach at enterprise scale. By integrating AI seamlessly with core business processes, automakers can ensure that intelligence flows across functions, rather than being trapped in silos. The result is not just automation, but orchestration—where systems, data, and people work in concert.

The impact is tangible. Automakers can significantly reduce planning cycle times and improve time-to-market for new products. Planning risk is lowered through continuous what-if analysis that incorporates both internal and external variables. Service readiness improves, ensuring that customers experience continuity and reliability even as product complexity increases. At an ecosystem level, this translates into greater resilience, lower costs, and higher customer satisfaction.

More broadly, this use case points to a shift in how we should think about customer-specific AI in automotive. The future will not be defined solely by smarter vehicles, but by smarter enterprises—where AI agents support decision-making across the value chain, from product inception to end-of-life service. In an industry under pressure to innovate faster, operate leaner, and remain sustainable, AI-driven operations are fast becoming a competitive necessity. The automotive ecosystem is evolving. Those who embrace AI not just as a technology but as a new operating model will be best positioned to lead it.

Sindhu Gangadharan is head of Customer Innovation Services and managing director for SAP Labs India.

11 February

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BUSINESS NEWS

From Strategy to Readiness: SAP Launches Defense Innovation Hub to Strengthen Digital Resilience in Security and Defense

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MUNICH — SAP SE (NYSE: SAP) today opened its defense innovation hub in Munich, Germany, underscoring its long-term commitment to strengthening digital readiness as a core element of modern defense capability. This comes at a time of growing geopolitical pressure, hybrid threats and rising demands for interoperability.

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, SAP 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.

“Defense readiness today is no longer defined by equipment alone: It is defined by how well people, processes and partners are connected,” said Thomas Saueressig, member of the Executive Board of SAP SE, Customer Services & Delivery. “In an increasingly volatile security environment, armed forces need systems they can trust—systems that are resilient, interoperable and sovereign. With our defense innovation hub, SAP is demonstrating how digital platforms can strengthen operational readiness while preserving control, compliance and freedom of action.”

A Hub Built on Munich’s Defense and Technology Ecosystem

Munich’s 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’s launch, the setting provided a fitting backdrop for hands-on demonstrations translating innovation into operational reality. Attendees experienced hands-on scenarios illustrating how SAP for Defense & Security solutions connect people, assets and supply chains in a unified, more secure operational picture.

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

The launch also served as a lead-in to this week’s Munich Security Conference, where questions of resilience, interoperability and technological sovereignty will dominate the agenda. Throughout the week, SAP 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
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