Information About Upcoming Merger of emarsys interactive services GmbH into SAP SE

Announcement by SAP SE, Walldorf, pursuant to Sec. 62 para. 3 sent. 2 cl. 1 UmwG

– Notice of upcoming merger –

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

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

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

      2023 SAP SE Statutory Financial Statements and Review of Operations (HGB)
      2024 SAP SE Statutory Financial Statements and Review of Operations (HGB)
      2025 SAP SE Statutory Financial Statements and Review of Operations (HGB)
      2022 emarsys interactive services GmbH
      2023 emarsys interactive services GmbH
      2024 emarsys interactive services GmbH

SAP SE, April 24, 2026

The Executive Board

The Engagement Divide: 15 Reasons It’s Time to Fix CX

Customer engagement is at a breaking point, and the most recent data proves it. Even as organizations accelerate their investment in AI, automation, and analytics, experiences often feel disconnected, impersonal, and reactive.

Connect AI, data, and customer-facing applications to deliver winning experiences

The problem is not the promise of AI. It’s the gap between intelligence in the system and connection in the moment. Customers are increasingly disengaging because intelligence is not being applied where it matters most.

Technology, particularly AI, has fundamentally changed what customers expect. They assume brands can recognize them across channels, understand context in real time, and anticipate their needs. When that doesn’t happen, the miss feels less like oversight and more like indifference. Timing is off. Service lacks continuity, and personalization stops at the surface, despite all the data behind it.

While many enterprises are trapped in siloed systems and disconnected data, consumer expectations are growing. Brands that don’t deliver the expected experiences are quickly abandoned.

In addition, global socioeconomic factors are increasing rapidly and unpredictably, challenging bottom lines and making customer loyalty more critical than ever—at a time when consumers are less loyal than ever. 

When economies falter, companies usually take one of two approaches. Some hunker down, cut costs and staff, and hope to survive. Others zero-in on differentiators like CX to drive growth and boost profitability.

The importance of CX for key metrics like churn, retention, loyalty, new sales, and competitive differentiation is well-established, so not investing in customer experience could be considered akin to saying you are willing to let those mission-critical metrics falter.

The following 15 takeouts from SAP’s 2026 Global Engagement Index Report highlight some of the most common CX pitfalls and opportunities.

1. 82% of consumers say a brand has disappointed them

Modern customers do not go quietly into the bad experience night. A whopping 82% of consumers say a brand has disappointed them, even when the product itself meets their needs. The issue isn’t the product or service; it’s the experience of purchasing and post-purchase care.

This is the essence of the “Engagement Divide”: the distance between what customers expect in the moments that matter, and what brands are actually delivering.

2. 60% do not pay attention to brands anymore and 48% care more about experience

Consumer attention in a difficult economy has shifted from logos and taglines to experiences that feel useful, contextual, and personal. So, what’s a brand to do when 60% of consumers say they simply don’t pay attention to brands and 48% care more about the experience than the product?

This is where CX outcomes become clear: engagement is no longer about shouting louder; it’s about showing up better and building experiences powered by unified data and intelligent orchestration.

3. Left unread: only 16% of customers skim email headlines, while 29% read one or two sentences

Consumer behavior in the inbox shows just how fragile engagement is:

  • Most consumers only read the subject line
  • Others will read one to two sentences before deciding whether to delete or engage further

Combined with the fact that 58% of consumers think most marketing emails they receive aren’t relevant, brands are staring down a massive relevancy problem. Sending more emails into the engagement abyss doesn’t solve this problem, but gaining a holistic understanding of your customers as individuals does.

4. 37% do not think brands personalize to their needs

For well over a decade we’ve been talking about the importance of personalization, but today 37% of consumers believe brands don’t personalize engagements to their needs. Surface-level personalization—names in subject lines, basic segmentation—is no longer enough.

This aligns with our assessment that 79% of companies have low or moderate CEM scores, meaning teams can access portions of shared data and deliver basic personalization, but coordination across marketing, sales, service, commerce, and product teams remains limited. Experiences often feel disconnected, forcing brands to rely on short-term tactics rather than building deeper relationships.

Consumers expect real-time, behavior-driven personalization based on context, intent, and history, not just boiler-plate persona buckets. Customers can see and feel investments in personalization and it matters.

5. 46% say customer service feels too impersonal, while 41% believe brands do not understand them as a person

Considering how much data brands collect, it’s striking that nearly half of consumers (46%) say customer service feels too impersonal.

Customers are asking a simple, and valid, question: “If you have all this information about me, why isn’t my experience better?” When data doesn’t translate into empathy and action, it starts to feel like surveillance, not service.

With 46% of consumers saying service isn’t personal, it should be no surprise that a nearly equal amount (41%) believe that brands don’t understand them as a person. However, 34% agree that AI can help brands better understand them and what matters most to them.

This presents brands with a real-time opportunity: use AI and data to close the perception gap. Instead of just predicting purchases, enterprises should also be anticipating customer needs and reducing friction.

6. 78% of brands say they deliver seamless cross-channel engagement, consumers disagree

Seventy-eight percent of brands say their engagement strategies offer seamless multichannel experiences with glowing outcomes like increased CLV, retention, and advocacy, but consumers are simultaneously reporting little emotional connection and frequent disappointment. In fact, 44% say that brand interactions feel less personal and more generic than ever before.

The takeaway: internal dashboards can create a false sense of success if not tied directly to real customer sentiment and behavioral signals across channels.

7. 54% of enterprises cannot access and use real-time data, and 66% still rely on third-party data

Fifty-four percent of enterprises can’t access and use real-time data. On top of that, 60% suffer from “dark data,” which is information that’s collected but not used throughout the customer journey.

Without real-time, connected data, brands are mostly flying blind. AI, personalization, and omnichannel orchestration don’t fail because the ideas or execution are wrong; they fail because the foundations are.

Although privacy regulations and legislation are increasing while third-party cookies decline, a majority (66%) of enterprises are still heavily reliant on third-party data. Simultaneously, 55% say their data is too unstructured to use effectively.

The lethal combination of overreliance on external data plus underutilized internal data keeps brands from building strong, first-party relationships rooted in trust and value.

8. 78% of brands say AI is essential for customer retention in 2026

AI is everywhere, and 78% of brands view AI as critical to retaining customers in 2026. However, 66% report they can’t use AI to optimize campaign performance in practice, while many also note they can’t utilize real‑time AI optimization in day‑to‑day campaigns.

A quick translation of the above stats: an AI strategy is crucial, but execution is lagging because of fragmented systems, poor data quality, and integration issues.

9. Only 30% share engagement data with a CX or CRM platform

Despite the collective agreement that a comprehensive customer profile is important, only 30% of brands share their customer engagement data within a CX or CRM platform. This means that most brands are attempting to deliver personalized experiences without having a unified engagement core.

If engagement data lives in campaign tools, service systems, commerce platforms, and ERP, but never gets connected via CX or CRM, customers will feel every fracture along their journey.

10. 30% of consumers have used AI agents that act on their behalf

AI is not just an enterprise capability; it’s also a customer behavior. Thirty percent of consumers say they’ve used AI agents to make decisions and act on their behalf when buying from brands.

This is a game-changer when it comes to engagement. Brands are now engaging not only with humans, but also with AI buyers that ruthlessly and continuously optimize for relevance and value. If your systems can’t keep pace, AI will select your competitor whose systems are operationalized for success.

11. When it comes to customer engagement maturity, 79% of brands have yet to integrate data, systems, and teams across their business; only two in five decision-makers see their departments as actually coordinated

The Customer Engagement Maturity (CEM) scoring model assesses how well brands align people, processes, and technology to deliver cohesive, intelligent experiences. Looking at the SAP Engagement Maturity Index:

  • 16% of brands reside at low maturity
  • 63% sit in the moderate middle
  • 21% have high maturity

Despite year-over-year progress, most organizations are stuck in developing or evolving mode, able to execute campaigns but not orchestrate truly connected, enterprise-wide engagement. And leaders agree, with only two in five decision makers believing there is effective collaboration across departments.

12. Just 21% of brands are high-maturity, and they are gaining ground against their competition

High-maturity brands rise above the competition because they connect data and intelligence across marketing, service, sales, commerce, and operations. They use AI and automation to deliver personalized, omnichannel engagement in real-time, at scale.

And the maturity gap is becoming a performance gap. As top performers turn real-time intelligence into growth, the cost of competing with them rises for everyone else.

13. Personalized means personal: 58% of consumers respond positively to localized content

Personalization is more than a word or industry term. It means actually understanding and empathizing with your customer, including their regional traditions and social norms.

When engagement is done right, consumers respond:

  • 63% say their favorite brand delivers seamless, connected experiences across mobile, web, and in-store
  • 58% value localized content and product recommendations
  • 55% appreciate highly personalized content
  • 50% believe their favorite brand uses data to make interactions better

Customers aren’t against data or AI at heart. However, they are opposed to wasted data collection and bad experiences. It’s the job of brands to provide a great CX. If that job isn’t taken seriously, you can bet that other brands are willing to roll up their sleeves to fill the gap.

14. 77% of businesses plan to invest in AI-powered engagement in 2026

When it comes to the future state, 77% of businesses plan to invest in AI-powered customer engagement in 2026, and 76% are investing in omnichannel engagement technologies. At the same time, 29% say their top priority is connecting customer and stakeholder data across marketing, sales, service, commerce, and ERP systems.

The signal is clear: investment alone won’t close the Engagement Divide. The winners will be the brands that invest in connection—of data, teams, and systems—not just in tools.

15. 15% say seamless integration will be the biggest driver of success

Lastly, and possibly most importantly, 15% of businesses believe seamless integration of engagement systems will be the single biggest driver of success. While that may sound like a small number, it captures a critical strategic shift: engagement is no longer a marketing problem or a channel problem. It’s an enterprise discipline that depends on unified data, coordinated teams, and embedded AI.

Artificial intelligence provides an evolving service for businesses. Employing cloud-based systems that can store, analyze, and route data will be the differentiator for brands in the marketplace.

Loyalty is transactional, and driven by great CX and a connected enterprise

Digital engagement has raised the bar when it comes to customer expectations, with more demands and a plethora of competitive choices if a brand doesn’t deliver.

It’s not a big leap to state that better customer experiences increase customer loyalty, which in turn leads to more purchases, augmented product utilization, and increased brand affinity and sentiment. And let’s not forget that an enhanced CLV lowers customer acquisition costs.

After all, loyalty is transactional and forged by the experiences customers encounter. In my conversations with customers across the globe, it’s clear that only the brands with CX truly at the heart of their operations will retain and grow their customer bases in the enterprises of the future.

That ambition relies on a technology foundation that can consistently deliver those experiences at scale. For British-founded luxury fragrance brand Molton Brown, moving from legacy systems to SAP Commerce Cloud provided a high‑performance platform built for peak‑season resilience and continuous innovation. The impact was immediate: 100% uptime during peak trading, even as volumes surged to one order every three seconds during major events.

This kind of reliability is increasingly critical as the moments that shape experience and loyalty expand beyond owned channels. As product discovery shifts to social platforms and AI‑powered assistants, consistent content and availability help the brand remain visible and trusted wherever customers engage. SAP’s evolving agentic commerce innovations are designed for this reality, keeping products discoverable, credible, and actionable across both human and AI interactions.

Ultimately, technology and AI are not the goal—the experience is. The brands that succeed will be the ones that use AI to show up more human, not less, turning insight into relevance and automation into trust.

The future of CX is for companies that operationalize intelligence across the enterprise—connecting data, systems, and teams so AI can orchestrate experiences, not just analyze them.


Manos Raptopoulos is global president of Customer Success Europe, APAC, Middle East & Africa, and a member of the Extended Board SAP SE.

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A Cocktail of Intelligent Solutions From SAP Goes Live at Campari Group

MILAN   SAP SE (NYSE: SAP) today announced that Campari Group has successfully gone live with SAP Cloud ERP Private solutions, marking a major milestone in its digital transformation journey.

Run core operations with confidence using ready-to-run enterprise resource planning capabilities in the cloud

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, Espolòn, Wild Turkey, Courvoisier and Grand Marnier, the company markets its products in more than 190 countries and operates 24 production sites worldwide.

“We’ve embarked on the RISE with SAP journey to keep pace with innovations offered by SAP Cloud ERP Private and embedded AI capabilities,” said José Silva, group head of IT at Campari Group. “Today, we can reshape processes in line with business evolution, improve planning and make our supply chain more efficient—ensuring continuous product distribution worldwide. Moving to a centralized process model enables us to improve productivity and reduce TCO consistently.”

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 SAP Analytics Cloud, SAP Integrated Business Planning and SAP Datasphere solutions as well as SAP Business Technology Platform. This creates an integrated backbone for planning, analytics and application development.
  • Embedded AI across SAP solutions is enhancing both operations and employee experience. In SAP SuccessFactors solutions, employees use the Joule solution and embedded AI to set and track goals, while SAP 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 SAP Business Data Cloud solution to unify SAP and third-party software data, delivering timely, contextual insights while preserving core business logic.
  • Finally, Campari Group also adopted SAP LeanIX solutions to map interdependencies between applications, processes and business owners, enabling more agile, informed decision-making.

“Campari is one of our best references in the food and beverage sector and is an excellent example of how SAP solutions can transform organizational and production processes,” said Carla Masperi, managing director, SAP Italy. “By combining cloud ERP with AI and data-driven planning, Campari is setting a new standard for digital transformation in the consumer products industry.”

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Top image courtesy of Campari

Media Contact:
Raffaella Mollame, +39-340-7771644, raffaella.mollame@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 SAP’s 2025 Annual Report on Form 20-F.
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How SAP and NVIDIA Advance AI for Enterprise Transformation

Every day, companies around the world rely on SAP applications to run the operations that keep their businesses moving.  In fact, 84% of global commerce touches an SAP application.

Explore the world of enterprise agents with SAP at NVIDIA GTC

Over decades, our customers have built powerful digital foundations on SAP to run end-to-end business processes across their enterprises—often extending and customizing these systems to support their unique business needs. Now, many are entering the next phase of transformation: modernizing their SAP landscapes to unlock the full potential of AI.

As companies move to cloud-based SAP environments and clean-core architectures, they are preparing to embed intelligence directly into business processes. This enables new forms of automation, with AI agents that operate across enterprise systems and execute increasingly complex tasks.

Modernizing these systems while introducing AI at scale is a significant undertaking. It requires technologies that integrate with existing applications, operate reliably within mission-critical workflows, and meet the governance standards enterprises demand.

That’s why, over the past few years, we have partnered with NVIDIA to combine advanced AI technology with deep business context. Our goal is to help organizations accelerate modernization and apply AI across the applications and processes key to their success. This collaboration will be showcased at NVIDIA GTC.

Building the foundation for enterprise-grade AI

Through our collaboration with NVIDIA, we are accelerating the entire life cycle of enterprise AI—from model development to high-performance runtime execution—and powering AI scenarios across our portfolio. NVIDIA NeMo™,  which consists of open libraries such as NeMo Gym and NeMo RL, helps accelerate large-scale model training across distributed RL environments. It enables teams to build and refine enterprise-grade AI models faster.

Models are hosted through SAP AI Core and generative AI hub, where our customers and partners leverage those best suited to their use cases. NVIDIA NIM microservices optimize inference performance, and we have observed up to a 20% improvement compared to another popular open source serving engine. Enabled by NVIDIA GPUs and NVIDIA NIM, the increased performance allows organizations to combine advanced AI models with trusted SAP business data and processes to ensure that AI operates within the workflows that drive business operations.

Modernizing the business logic that runs the enterprise

AI models trained on SAP knowledge and accelerated using NVIDIA technologies are already helping customers tackle some of their most pressing modernization challenges. For example, evolving business logic embedded in the SAP systems that run their operations.

For decades, organizations have extended SAP applications with custom ABAP code that reflects how their businesses operate. That logic captures years of operational knowledge across finance, supply chain, service processes, and more. But modernizing these environments for the cloud and preparing them for the next generation of AI-driven innovation can be complex.

To help accelerate this journey, SAP developed SAP-ABAP-1. a foundation model trained exclusively on real-world ABAP code and the business logic used across SAP environments. The solution incorporates specialized models for code-related tasks, including StarCoder2 for code completion, and Codestral for deeper code understanding and explanations. These models are served through NVIDIA NIM microservices to deliver high-performance inference.

SAP Joule for Developers brings these capabilities into the developer experience, helping teams analyze existing ABAP code, understand how customizations interact with core business processes, and generate new code when needed. By making decades of embedded business logic easier to interpret and update, we help organizations accelerate modernization and preserves the knowledge that makes their operations unique.

Connecting AI to business operations

The collaboration between SAP and NVIDIA also explores how AI can operate within enterprise workflows to help organizations apply intelligence across both physical operations and complex planning environments. One emerging area is embodied AI, in which intelligence extends beyond software systems into the physical world. By combining AI reasoning with sensors, robotics, and enterprise data, organizations can connect real-world observations directly with digital business processes.

For example, predictive maintenance alerts from SAP Asset Performance Management can trigger robotic inspections that analyze equipment using thermal, visual, and acoustic signals. These signals are evaluated alongside asset histories and maintenance records to identify potential issues. Joule then orchestrates follow-up actions through SAP Field Service Management, prioritizing work orders and guiding technicians with the right operational context. By linking physical-world insights with enterprise workflows, organizations can turn physical-world signals into coordinated enterprise actions.

The same principle applies to complex planning environments. Supply chains today must manage a constantly shifting web of constraints, from supplier availability and transportation disruptions to evolving customer demands. With NVIDIA, we are exploring technologies, such as NVIDIA Metropolis and NVIDIA Cosmos, to bring the latest AI advancements into warehouse management, safety, and asset inspection.

Together, we are also bringing new capabilities to SAP Integrated Business Planning that combine agent-based reasoning with the NVIDIA cuOpt GPU-accelerated optimization engine. This enables planners to simulate complex supply chain scenarios and evaluate alternatives with more speed and accuracy. By integrating advanced optimization with SAP’s supply chain planning capabilities, organizations can dynamically model constraints, adapt plans as conditions change, and make more confident decisions in increasingly complex environments.

Collaboration with large-scale SAP customers helps identify real operational bottlenecks, paving the way for AI-driven solutions. At NVIDIA GTC, SAP has unveiled a collaboration with Foxconn. The Taiwan-based global electronics manufacturer and manufacturing solutions provider will work with SAP to develop AI-powered innovations for manufacturing and supply chain operations.

By combining SAP’s enterprise applications and business context and Foxconn’s manufacturing expertise, organizations can enhance operational efficiency, increase resilience, and advance decision-making across complex production and supply networks.

Experience agentic AI at NVIDIA GTC

SAP is enabling Joule Agents across its application portfolio, helping organizations automate tasks and coordinate complex workflows within business processes. At NVIDIA GTC, visitors will see how these capabilities are extended using Joule Studio on SAP Business Technology Platform to build agents tailored to specific enterprise scenarios.

And because SAP’s AI architecture is model-agnostic, organizations can bring their own models into these workflows, in addition to those deployed through SAP AI Core. The hands-on experience at NVIDIA GTC will demonstrate how organizations can build AI-driven workflows that operate directly within the enterprise systems that run their business.

It all happens at NVIDIA GTC, taking place March 16-19, 2026. Join us to see how SAP and NVIDIA are helping organizations modernize enterprise systems, accelerate AI adoption, and move toward the AI-native enterprise:

Learn more about SAP at NVIDIA GTC.


Brenda Bown is chief marketing officer for SAP Business AI.

SAP Business AI: Achieve company-wide ROI and transform how work gets done with agents grounded in your business data

Supply Chain Management in SAP Cloud ERP 2602 | Release Highlights

See what’s new in Supply Chain Management for SAP Cloud ERP 2602, with four highlights that bring AI-assisted warehouse execution, tighter subcontracting integration, faster physical inventory handling, and clearer supply checks for sales.

In this video, Greg Hutcheon’s digital twin walks through new capabilities that help logistics and supply chain teams streamline operations, improve transparency, and keep goods moving smoothly, from warehouse tasks and transportation planning through inventory control and order promising.

🤖 Joule for Warehouse Management (outbound delivery orders + warehouse tasks) — Use natural-language queries to find key warehouse objects fast, act from an actionable worklist, and jump into SAP apps (or continue in Joule). Next-best-action buttons speed common steps, with confirmations to stay in control.

🔗 Subcontracting integration with WM and TM (BMW – Subcontracting scope) — A connected process links subcontracting POs to TM and outbound WM—from delivery creation through freight planning and warehouse execution—improving visibility and supporting consistent freight cost handling.

📦 New SAP Fiori app: Manage Physical Inventory Item List — A single workspace for physical inventory: filter by status and differences, then review results, post items, trigger recounts, and navigate to documents. Bulk actions and reason codes make exceptions faster and auditable.

✅ Order Promising: Supply Protection indicator — A new icon in Display Product Availability shows when supply protection affects available quantity, reducing manual checks and helping sales reps make faster availability decisions.

Chapters:
00:09 Welcome and introduction
00:25 Joule for outbound delivery orders and warehouse tasks
01:44 Subcontracting integration with WM and TM
03:29 New SAP Fiori app: ‘Manage Physical Inventory Item List’
04:32 Order promising – Supply protection indicator
05:24 Wrap-up and outro

• Read more about the latest Supply Chain Management innovations in SAP Cloud ERP 2602: https://sap.to/6059B6JN4F

• Check out the SAP Cloud ERP Community: https://sap.to/6055CIrvT
• Explore SAP Cloud ERP innovations: https://sap.to/6056CIrvp

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About SAP:
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Joule Agents: Cash Management Agent | Demo

Discover how cash managers can get clear daily cash visibility, identify risks early, and act on shortages and surpluses with AI-assisted guidance.

Understand how cash managers can start everyday with a perfectly prepared, precise view of their cash position.

The Cash Management Agent reasons and acts autonomously to bring everyone together, identifying risks early, and guides next steps in line with the treasury policy.

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About SAP:
As a global leader in enterprise applications and business AI, 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: https://www.sap.com/index.html

#Joule #AIAgents #BusinessAI

SAP Design: Built to Bring Out Your Best

The secret behind SAP’s elevated experiences and expansive insights? A global network of thinkers, analysts, researchers, developers, and designers dedicated to building better experiences.

Together, thousands of creative minds learn, experiment, and refine every process and pattern, helping you make smarter choices with greater ease and in less time.

Learn more about SAP Design 👉 https://sap.to/6055h5GSB

Turning Data Into Action: SAP’s Journey Toward Enhanced Sustainability Impacts

Imagine setting out to hike a vast mountain range. Your goal is clear: reach the summit. But without a map, you risk taking wrong turns and missing the best route. The same principle applies to corporate sustainability.

SAP’s goal is equally clear: enhancing our sustainability impact to help the world run better and improve people’s lives. The question is how do we navigate this complex terrain without losing our way?

Build a more compliant, sustainable, and resilient business and put sustainability at the core of your business with AI-driven solutions

The challenge: from sustainability metrics to actionable insights

Corporate sustainability reporting has evolved significantly in recent years. However, many organizations still face the fundamental challenge of translating complex environmental and social data into insights that drive strategic change.

Sustainability metrics such as “0.15 micrograms of fine dust per cubic meter” or “five liters of water consumed” are scientifically accurate but difficult to interpret, especially for decision-makers without deep sustainability expertise. Just as hikers need a reliable navigation system, businesses need a common language to translate diverse sustainability indicators into comparable, actionable insights.

This is where impact measurement and valuation (IMV) comes into play.

The approach: how IMV translates complexity into business-relevant insights

SAP’s IMV approach encompasses three steps.

Step one: A language everyone understandstranslating societal impacts into monetary units

The IMV framework quantifies the costs and benefits of corporate activities to society and the environment. It builds on environmental, social, and governance (ESG) data that many companies already report and translates these into a single monetary metric, for example, Euros or U.S. dollars.

This is like moving from vague trail descriptions to precise GPS coordinates that everyone can understand. When sustainability indicators are expressed in a common unit, companies can clearly see where they stand, evaluate trade-offs between different sustainability dimensions, and compare them alongside financial impacts.

As a tangible example, the environmental impact of greenhouse gas (GHG) emissions can be monetized by multiplying a company’s reported emissions by the social cost of carbon, $244 per metric ton of CO₂e in 2025. This converts abstract data into a clear, actionable signal, allowing companies to compare impacts across different ESG and financial indicators. With this clarity, businesses can focus on the most impactful sustainability initiatives—those that deliver the greatest contribution to GHG reduction goals while evaluating both financial and sustainability return on investment.

Step two: Determining relative position—comparing performance to peers

Once you know your exact position, you need a reference point to understand how well you’re performing. It’s like trail runners who want not only to reach the summit, but also to understand their performance along the way. Your GPS shows you where you are, but to improve, you need to compare your data against other runners.

Impact benchmarks complement IMV by providing reference values that show how a company’s sustainability performance compares to industry peers. These benchmarks act like performance markers, helping businesses identify where they are ahead, behind, or on par—guiding decisions to improve toward maximum positive impact.

Step three: Identifying hotspots—focusing on maximum impact

The global sustainability agenda demands urgent, focused action. IMV and impact benchmarks together provide data-driven insights that pinpoint where a business has the greatest leverage to amplify positive and reduce negative impacts.

For example, in SAP’s human rights risk assessment and double materiality analysis, these insights helped narrow down the most material sustainability topics, critical value chain stages, and high-risk countries or industries. This approach uncovers opportunities where improved sustainability performance drives long-term competitive advantage and highlights risks such as supply chain vulnerabilities and regulatory exposure.

Navigating together: collaboration for sustainable impact

SAP has adopted this methodology as a founding member of the Value Balancing Alliance (VBA), a nonprofit coalition of multinational companies dedicated to establishing a globally accepted sustainability management accounting and steering system. In collaboration with the WifOR institute, a scientific research organization specializing in impact valuation, SAP has analyzed its societal impacts (step one), applied industry benchmarks to contextualize performance (step two), and integrated these insights into core reporting and steering processes (step three). 

This collaborative approach ensures that the data guiding SAP’s sustainability strategy is independent, credible, and scientifically validated, enhancing both internal decision-making and transparency for investors and external stakeholders.

“Impact measurement and valuation provides the scientific foundation for sustainability steering, allowing organizations like SAP to understand their impacts holistically and prioritize decisions based on statistical evidence.”

Dr. Richard Scholz, Head of Impact Analysis at WifOR

The results: what SAP’s analysis reveals and how it drives strategic decision-making

The graphic below illustrates SAP’s sustainability performance compared to industry benchmarks, the result of step two. The analysis covers SAP’s entire supply chain from direct suppliers to sub-suppliers as well as SAP’s own operations. A methodology for quantifying downstream impacts, such as the effects of software in use, is currently under development.

The analysis identifies both positive and negative impacts. Areas where SAP shows a higher negative impact than the industry average are highlighted in red, indicating priority areas for mitigation. In contrast, smaller negative or larger positive impacts indicate stronger ESG performance.

Key findings

  • Social performance: Supply chain data reveal mixed results regarding living wages. While most supply chain workers earn above living wage thresholds, reflecting positive impacts, the analysis also identified risk hotspots, enabling SAP to take targeted action. In response, the Human Rights team at SAP partnered with procurement, suppliers, and multi-stakeholder initiatives to develop and implement risk mitigation strategies. IMV data allowed these efforts to focus on the countries, industries, and vendors with the highest risk, ensuring that improvements are driven where they matter most.
  • Environmental performance: GHG emissions results reflect strong progress toward SAP’s net-zero goal, with positive results across both direct operations and upstream activities. While water consumption is not considered material for SAP at the group level, we address identified local hotspots through local environmental management programs, including site-specific water management measures to ensure responsible resource use.

Leading by example

As a global technology company supporting the majority of the world’s business transactions, next to enabling our customers on their positive impact journey through our solutions, we want to lead by example.

Our corporate sustainability approach creates positive economic, social, and environmental impact while respecting planetary boundaries and human rights.

To achieve these goals, SAP relies on tools such as IMV that help us assess and prioritize the measures with the greatest leverage—maximizing positive impacts and minimizing negative ones.

“Sustainable transformation is only possible when we base our decisions on reliable data. With IMV, we make sustainability measurable, comparable, and actionable. This enables us to create transparency, set clear priorities, and take responsibility. By focusing on areas where we can achieve the greatest positive business and sustainability impact, we ensure that our actions are both meaningful and effective.”

Matthias Medert, Global Head of Sustainability at SAP

The journey ahead

The climb toward impact-based decision-making continues. Just as hikers rely on navigation tools to traverse challenging terrain, we use IMV as our guide to ensure every step brings us closer to our sustainability goals.

Looking ahead, we aim to expand the methodology, contribute to cross-industry standardization, and foster multi-stakeholder collaboration to accelerate the adoption of impact-based decision-making across global value chains. Through SAP cloud solutions for sustainable enterprises, we support our customers in their own impact management journeys.

Our climb is guided by more than metrics; it’s driven by purpose. Clear insights from IMV keep us on the right path toward a future where sustainability and business success go hand in hand.


Iris Konrad is a senior sustainability specialist at SAP.

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AI That Acts, Not Just Chats: The Integration Advantage | feat. Craig Stasila

Niklas Siemer is joined by Craig Stasila, Senior Director of Product Marketing at SAP, to unpack how integration is the missing link powering the next generation of agentic AI.

From the rise of autonomous agents to real-world enterprise applications, they explore why AI cannot deliver meaningful business value without strong integration foundations. You’ll hear how SAP Integration Suite, APIs, and event-driven architectures are evolving to make AI agents smarter, safer, and more connected than ever before.

They also dive into the newly announced support for MCP in SAP Integration Suite, how it standardizes communication between AI agents and business systems, and what this means for developers and architects working to operationalize AI across the enterprise.

Also in this episode:
– What “agentic AI” really is—and how it differs from chatbots or RPA.
– Why integration is the backbone of every AI system, connecting agents to real-world business data and actions through APIs.
– How SAP Integration Suite and event-driven architecture enable real-time data exchange, reliability, and secure AI access.
– How the Model Context Protocol (MCP) will shape the next generation of API and AI agent interoperability.
– Governance and safety frameworks ensuring humans stay in control as AI agents scale across business processes.
– Real-world use cases showing how integration and AI agents can optimize procurement, supply chains, and decision-making.
– Best practices and architectural patterns for balancing real-time responsiveness with data reliability.

Plus, hear Craig’s take on ska music, mixology, and how the DIY mindset of punk rock mirrors today’s rapid experimentation in AI and integration innovation.

Don’t miss this deep dive into how SAP BTP and Integration Suite are helping enterprises move from hype to hands-on success in the era of agentic AI.

Listen on Spotify: https://sap.to/605078AAM
Listen on Apple Podcasts: https://sap.to/605178AA3
Listen on SAP Podcasts: https://sap.to/605278AAO

Learn more about SAP Integration Suite: https://www.sap.com/products/technology-platform/integration-suite.html

00:00 – Why LLMs need integration to act
01:36 – Welcome & episode setup (Unlocking SAP BTP)
03:55 – The “SAP-to-toaster” integration story
07:47 – Agentic vs. non-agentic workflows
12:16 – Where iPaaS fits for AI agents
19:17 – Real-time data & vector planning
32:41 – Governance, guardrails & human-in-the-loop
38:34 – Day-in-the-life: procurement/Joule use cases
42:26 – SAP TechEd: MCP server in Integration Suite + Graph
58:28 – Thanks & goodbye

#SAPBusinessAI #AIAgents #IntegrationSuite

What Extending SAP Looks Like in Finance and HR with SAP Build

See how SAP Build empowers finance and HR teams to personalize, automate, and extend SAP—no coding required.

Innovation doesn’t need to be complicated. With SAP Build, teams across finance and HR can extend SAP applications, automate processes, and design personalized experiences—all through a simple drag-and-drop interface.

This video shows what extending SAP looks like in real life—turning everyday challenges into opportunities for smarter, faster work:
– Finance: Replace manual fixed-asset approvals with automated, trackable workflows that speed up decision-making and reduce errors.
– HR: Create intuitive apps that extend SAP SuccessFactors, helping global HR teams simplify routine tasks, connect data, and enhance employee experience.

With pre-built templates, AI-enabled guidance, and seamless connectivity across the SAP ecosystem, SAP Build helps business users innovate without relying on heavy development resources. It’s designed to help you scale ideas into impact—while staying secure, compliant, and connected to your SAP landscape.

From process automation to app creation, SAP Build gives every team the power to deliver what matters most: better decisions, faster workflows, and more meaningful employee experiences.

00:00 – Introduction
00:22 – Extending SAP in Finance
01:05 – Automating Fixed Asset Approvals
01:45 – Extending SAP SuccessFactors in HR
02:30 – Custom Apps for Global Teams
03:15 – Personalization and Connectivity
03:50 – Innovation Made Simple with SAP Build
04:15 – Closing and Call to Action

Discover how SAP Build helps your teams extend and innovate faster: https://sap.to/6057AAPJH

#SAP #SAPBuild #BusinessAI

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