Shine On: SAP CX Celebrates G2 Leadership Across Multiple Categories

SAP Customer Experience has been recognized as a Leader across multiple categories in the G2 SUMMER 2026 Grid® Reports, earning more than 100 Leader badges across the SAP Customer Experience (SAP CX) portfolio.

The results, which are driven by authentic customer feedback, highlight the strength of SAP CX, particularly in the enterprise segment.

“Earning a Leader position in a G2 Report is highly competitive and rooted in verified customer reviews,” said Godard Abel, co-founder and CEO, G2. “Congratulations to SAP Customer Experience for achieving this distinction. Buyers can be confident this ranking reflects the authentic experiences of real users.”

Harmonize your CRM and CX with a single autonomous system—where AI acts on the full truth of your business to power every customer experience

Following are a few standout achievements:

  • SAP Commerce Cloud: Reigned supreme in the commerce space, achieving the coveted #1 Rank in the Enterprise Grid® Report for Order Management. It was also recognized as a Leader for E-Commerce Platforms and Omnichannel Commerce.
  • SAP Sales Cloud: Showcased its versatility and power, earning a Leader position in multiple reports for CRM and Sales Analytics. It secured an impressive #2 Rank in the Enterprise Grid® Report for CRM.
  • SAP Service Cloud: Named a Leader in the highly competitive Enterprise Grid® Report for Help Desk, solidifying its position as a top-tier solution for customer service excellence.
  • SAP Engagement Cloud: Dominated the marketing and engagement space, earning a whopping 51 G2 Summer 2026 badges, including #1 in the Momentum Grid® for Location-Based Marketing and #1 in the Enterprise Grid® for Email Deliverability, up from #3. Also recognized as a Leader in Marketing Automation, Personalization Engines, Customer Journey Analytics, SMS Marketing, and Loyalty Management, with new country reports added across Spain, Italy, and France.

This verified success is powered by pioneering work in agentic AI with Joule, SAP’s generative AI copilot. They’ve moved beyond simple automation to deploy autonomous AI agents that can reason, plan, and act across the entire customer journey.

Customers are enthusiastically adopting these intelligently automated capabilities. The Shopping Agent is transforming keyword searches into conversational discovery and guided purchases, while the Digital Service Agent is autonomously resolving inquiries, improving satisfaction, and reducing contact center load.

The shift to AI-driven engagement is delivering real-world value and simplifying complex processes. Using WalkMe Premium for SAP CX solutions, customers can embed AI-powered guidance directly into workflows, transforming employees into experts. By enabling teams to work smarter and faster across SAP Commerce Cloud, SAP Sales Cloud, SAP Service Cloud, and SAP Engagement Cloud, unlocking the full potential of your SAP investment and delivering the exceptional outcomes that customers demand has never been easier. By automating routine and complex workflows with out-of-the-box AI agents, teams are freed to focus on strategic, high-value customer interactions, driving unprecedented efficiency and loyalty.

G2 SUMMER 2026 Grid® Reports: What SAP CX customers are saying

SAP’s commitment to delivering exceptional customer experiences is reflected in the high praise for SAP Commerce Cloud, SAP Sales Cloud, SAP Service Cloud, and SAP Engagement Cloud. This recognition is a true testament to the trust our customers place in SAP CX when it comes to powering their most critical business functions.

Here’s what users said about SAP Commerce Cloud:

“I like SAP Commerce Cloud’s ability to handle extreme complexity while unifying diverse business models (B2B, B2C, B2B2C) on a single platform. Its unified approach allows us to manage operations on a single technology stack, eliminating data silos, reducing operation costs, and giving us total visibility into our entire supply chain.”

– Suryakant G, Managing Director (Read more on G2)

“The onboarding resources and SAP support ecosystem make implementation easier, while its AI-driven recommendations, search optimization, and customer behavior insights help deliver more personalized experiences and smarter business decisions.”

– Vedant G., Manager (Read more on G2)

Here’s what users said about SAP Sales Cloud:

“What really clicks for me with SAP Sales Cloud is how effortlessly it syncs sales and marketing data in one smart dashboard. It gives me crystal-clear insights into customer behavior and pipeline status, which is pure gold for crafting targeted, automated email campaigns that feel timely and personal.”

– Grecia L., Marketing Automation Specialist (Read more on G2)

“It addresses inefficiency and lack of visibility in the sales cycle. The main benefit is a faster, more predictable revenue stream, supported by AI and real-time data integration.”

– Kuldeep D., Senior Technical Specialist (Read more on G2)

Here’s what users said about SAP Service Cloud:

“I appreciate its automated processes and great SLA tracking, which helps the team to keep track of time and not miss deadlines. I also like the AI replies that enable quick responses by searching through the knowledge base. The automatic ticket routing is a valuable feature as it aids in queue management, ensuring efficient handling of customer issues.”

– Kelvin E., Support Engineer (Read more on G2)

“SAP Service Cloud addresses the challenge of fragmented customer service data by consolidating all interactions and cases into one platform. This gives me clearer visibility into customer history, helps resolve issues more quickly, and supports consistent omnichannel service.”

– Rekha S, Content Creator (Read more on G2)

Here’s what users said about SAP Engagement Cloud:

“I love how SAP Engagement Cloud personalizes campaigns at scale and automates customer journeys using real-time data and AI insights.” (Read more on G2)

Shaping the future of customer experience, together

The G2 leadership awards validate the SAP CX strategy, while investment in agentic AI defines the future.

Users can share feedback on G2 for SAP Commerce Cloud, for SAP Sales Cloud, and for SAP Service Cloud

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SAP Launches Joule in SAP for Me: An AI-Powered Gateway to Insights, Support, and Guided Actions

SAP introduces Joule in SAP for Me, a new, unified entry point to one of SAP’s most widely used customer portals. It’s smarter, simpler, and more intuitive.

Joule helps turn intent into autonomous action

SAP for Me is the digital tool for customers and partners to easily interact with SAP and get immediate guidance to the best solution. With this portal, users can access important alerts, metrics, and insights about their SAP product portfolio from a single access point. The integration of Joule in SAP for Me is not just a feature drop or a UX redesign. This is an inflection point in how customers access products, support, and self-service. 

We are moving from a click-and-search portal to a conversational, agent-driven enterprise ecosystem. For users, this is an experiential shift with significant business outcomes. By taking over the tedious work of clicking, searching, parsing, and diagnosing, Joule helps free up IT administrators, consultants, and business leaders to focus on what truly matters: driving innovation and scaling their business.

“The successful launch of Joule in SAP for Me is the result of strong collaboration, innovation, and a shared commitment to improving customer experience. It demonstrates how SAP continues to turn its AI strategy into real, tangible value, delivering solutions that are not only powerful but also practical and user-centric.”

Gerlinde Wallner, Organizational Change Manager and Coach, Strategy & Operations, SAP

What can users expect from this new unified, AI‑powered entry to SAP for Me?

  • Effortless navigation across the portal
  • Fast access to relevant information
  • Advanced self-service with guided support
  • Accelerated task execution without needing to know where to click

In their fast-paced business environments, users don’t have to search through complex menus or multiple touchpoints. Joule in SAP for Me can simplify their path to support. They can simply ask, explore, and act to experience personalized, conversational access to support, self-service, and key tasks in SAP for Me.

“Joule is transforming SAP support by making it more intuitive and intelligent. We can guide users conversationally to the right outcome—no searching, no guesswork—accelerate self-service and task execution, and deliver context-aware, personalized support directly within SAP for Me.”

Corinne Reisert, VP, Customer Support Experience SAP for Me, Global Customer Support, SAP

In addition to introducing Joule in SAP for Me, SAP takes advantage of AI-powered agentic case resolution, which brings AI agents into support workflows to help analyze new cases, detect duplicates, suggest routings, and draft responses. For select priority cases, AI agents can recommend replies, which helps reduce manual effort, improve triage accuracy, and shorten resolution timelines. This is available now to SAP customers.For more information, see agentic case resolution.

Joule in SAP for Me is being rolled out in phases as of May 2026, at no extra cost to customers.

“With SAP runs SAP, we show our customers how we scale agents across the enterprise to deliver real outcomes. Joule in SAP for Me exemplifies how conversational and agentic AI can fundamentally transform the way users operate and offer customers a simple and intuitive path to access SAP’s services and support.”

Benjamin Blau, Chief Process & Information Officer, SAP

While Joule in SAP for Me already helps deliver a simpler and more intuitive way to access information, support, and guided actions, this is just the starting point. As SAP continues to advance its AI strategy, customers can look forward to new scenarios, expanded agent capabilities, and deeper integration across services and support processes. This launch establishes the foundation for a more conversational and autonomous customer experience, one that will continue to evolve as SAP brings the next generation of AI-powered innovations to life.


Stefan Steinle is executive vice president and head of Global Customer Support at SAP.

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Business Travel Holds Steady as Travel Costs Rise

Business travel costs continued to climb in the first half of this year, driven in part by rising fuel prices and broader transportation pressures. However, according to SAP Concur data, companies around the world largely maintained their travel activity despite the higher prices.

The data suggests that while organizations are becoming more thoughtful about trip economics, most are still prioritizing in-person meetings and employee travel.

AI-powered travel and invoice solutions that unify data, simplify work, and drive business forward

Travel costs rose across most categories 

 According to SAP Concur global data from January 1–May 31, 2026, overall business travel costs increased across nearly every major category year over year. Airfare rose more than 8%, hotel rates increased nearly 6%, and car rental costs climbed roughly 5%.

At the same time, the average cost of fuel-related expenses surged. The average transaction in Concur Expense in the gas category increased approximately 22% globally, rising from $50 in February to $61 in April with similar spikes seen in countries around the world. 

Transportation patterns shifted in select segments

Those increases are already influencing some travel decisions. While overall air and hotel booking volumes remained relatively flat year over year, there have been some shifts in how employees travel once they arrive at their destinations, as car rental bookings declined roughly 4% globally. Additionally, rail bookings increased approximately 4%, suggesting some organizations may be looking for more cost-effective or efficient transportation alternatives as fuel prices rise.

Premium travel demand remained strong

Even with costs rising, companies did not significantly reduce premium travel spending. Premium cabin bookings—including business and first class—increased about 9% year over year. By comparison, economy bookings remained flat, while premium economy bookings declined approximately 15%.

Companies are balancing traveler experience alongside budget pressures. For longer flights and international trips in particular, some organizations still view premium travel as a worthwhile investment.

What to watch in the second half of 2026

There are early signs that rising costs and operational disruptions could begin affecting demand, with significantly higher average airfares and reduced airline capacity in some parts of the world. The coming months will help determine whether these disruptions create a short-term adjustment or shape a broader shift in business travel behavior. For now, the data suggests companies are willing to absorb higher travel costs rather than scale back travel plans.

Research shows that business travel remains closely tied to professional opportunity and relationship building. In a recent survey conducted in the U.S. on behalf of SAP Concur, 90% of frequent business travelers say traveling for work has positively impacted their careers, underscoring the employee experience and retention benefits of continuing to prioritize business travel even as costs rise.

As organizations navigate higher travel costs in 2026, the data suggests many still view business travel as a worthwhile investment in relationships, employee development, and long-term growth.


Charlie Sultan is president of Concur Travel at SAP.

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Methodology: SAP Concur analyzed expense transactions tagged as “gas” in Concur Expense between January 1, 2026, through May 31, 2026, and equivalent time periods from 2025. SAP Concur analyzed air, rail, hotel, and car bookings in Concur Travel for trips booked and undertaken between January 1, 2026 and May 31, 2026 and the equivalent time period in 2025.

SAP SuccessFactors Earns 19 TrustRadius Top Rated Awards

SAP SuccessFactors has earned 19 Top Rated awards from TrustRadius this year, marking a significant milestone driven entirely by customer feedback.

As one of the industry’s most trusted independent peer review platforms, TrustRadius is known for its rigorous verification process and commitment to unbiased, customer‑led insights. These awards are based on real user experiences, making them especially meaningful.

This recognition reinforces a clear message: organizations are turning to SAP SuccessFactors solutions not just to manage HR but to modernize it. As companies move towards more autonomous, AI-driven ways of working, they need HCM solutions that bring together data, insights, and action. That’s exactly what the SAP SuccessFactors portfolio can deliver.

Momentum across the portfolio

This year’s results highlight strong and growing momentum.

SAP SuccessFactors increased from 12 Top Rated awards in 2025 to 19 in 2026, reflecting deeper customer satisfaction across the HCM landscape.

Recognized categories include:

  • HR Management
  • Workforce Analytics
  • Talent Management
  • Compensation Management
  • Workforce Management
  • Applicant Tracking
  • Talent Intelligence
  • Corporate Learning Management
  • Payroll
  • International Payroll
  • Pay Equity
  • Recruiting Automation
  • Employee Performance Management
  • HR Compliance
  • HR Service Delivery
  • Employee Onboarding
  • Succession Planning
  • Diversity, Equity, and Inclusion (DEI)

This breadth reflects the strength of SAP SuccessFactors solutions as a unified suite—connecting people, processes, and data across the workforce. SAP SuccessFactors solutions can provide the foundation to turn those connections into real-time insight and action.

What our customers are saying

Across thousands of verified reviews, customers consistently point to one thing: impact. From operational efficiency to better decision-making and improved employee experiences, SAP SuccessFactors solutions are helping organizations move faster and work smarter.

  • “SAP SuccessFactors is our core platform and supports our finance and HR processes. We use every module for recruiting, compensation, and learning. It supports our HR transformation and lays the foundation for our data.” — Senior Program Manager, Amtrak
  • “SAP SuccessFactors HCM stands out among other human capital management solutions due to its comprehensive suite of cloud‑based tools, strong global compliance capabilities, and seamless integration with other SAP systems.” — SAP SuccessFactors Administrator, Sura Asset Management
  • “SAP SuccessFactors HCM is considered a ‘best of breed’ for a reason. The fact that it does allow for in‑depth customization, and its ability to be tailored not only to individual business needs, but also it allows for best practice follow‑up while ensuring organizations remain compliant with several legal requirements.” — Global HRIS Lead, AB Agri Ltd
  • “In our organization, we mainly use Joule in SAP SuccessFactors to automate and complete tasks through natural conversation, which eliminates manual steps. [It] plays a big role in eliminating the constant back and forth and guesswork involved in finding accurate information, as well as completing routine tasks, for example, workforce insights, budget and planning, document retrieval, etc. Additionally, it makes navigating [SAP SuccessFactors] seamless.” — Stage Manager, Le TNT

Looking ahead

We’re incredibly grateful to the customers that shared their experiences on TrustRadius with insights that continue to guide our innovation.

Building on the introduction of Autonomous HCM at SAP Sapphire, our focus is clear: helping HR move beyond managing processes to orchestrating work. By bringing together AI, data, and workflows, SAP SuccessFactors solutions enable organizations to operate with greater speed, clarity, and confidence, so they can not only adapt to change but actively shape what comes next.

Learn more about the impact customers are seeing with SAP SuccessFactors solutions.


Lara Albert is chief marketing officer for SAP SuccessFactors.

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Introducing the Autonomous Enterprise Podcast from SAP

The Autonomous Enterprise is the operating model for organizations that will lead the decade ahead. At SAP Sapphire, SAP CEO Christian Klein positioned it as a cornerstone of SAP’s strategy, powered by enterprise-grade business AI embedded directly into core processes. We believe this marks a fundamental shift in how companies operate, compete, and create value.

This journey cannot be defined by technology alone. It requires dialogue, shared learning, and real-world insight. That is exactly why we are launching the Autonomous Enterprise podcast, a new series we will be hosting together.

Why this conversation matters now

Organizations today face unprecedented volatility, from geopolitical uncertainty and supply chain disruptions to energy challenges and rising resilience requirements. In this environment, the cost of inaction is increasing. Businesses must become faster, more adaptive, and structurally more resilient to stay competitive.

The Autonomous Enterprise offers a response. It combines three critical capabilities:

  • Data-driven decision-making
  • Automated execution
  • Governance-by-design
The start of a bold new way of doing business

Together, these capabilities enable organizations to move beyond isolated AI pilots toward measurable outcomes and enterprise-wide impact.

The shift is not just technical, though. It is organizational and strategic. The leaders we talk to are no longer asking whether they should adopt AI. The question now is how fast they can scale it and how they can generate tangible business value.

From concept to operating model

At its core, the Autonomous Enterprise reframes AI—not as a feature layered onto applications, but as an integral part of the operating model itself.

Three priorities define this model:

  • Business value: focusing on measurable outcomes rather than experimental use cases
  • Predictability: improving decision-making through trusted data and advanced forecasting
  • Scalability: moving from proof-of-concept initiatives to enterprise-wide deployment

We are already seeing this shift change how organizations think about their systems and processes. Systems of record are evolving into systems of action. AI agents are moving from simple assistance toward execution. And AI is becoming embedded end-to-end, rather than confined to isolated scenarios.

At the same time, governance, auditability, and traceability are becoming non-negotiable. Enterprises must be able to stand behind every AI-driven decision with transparency and confidence.

What we are setting out to do

In this podcast series we want to create a space to explore these changes in depth and bring the voices shaping this transformation into the conversation. Each episode features discussions with SAP leaders, customers, and industry experts who are actively building and operating autonomous capabilities today.

Some of the questions we will be digging into:

  • What does the Autonomous Enterprise look like in practice?
  • How are leading companies scaling AI across core business processes?
  • What are the biggest barriers, and how can they be overcome?
  • How do organizations balance automation with governance and trust?

Our opening episode—now live—features SAP’s Peter Maier, responsible for Strategic Customer Engagements in the Office of the CEO at SAP, who brings these ideas into focus through practical, real-world context. In our conversation, he outlines how organizations are moving beyond experimentation toward measurable outcomes, more trusted and predictive decision-making, and scaling AI across the enterprise.

What we found particularly compelling is how clearly this reinforces a broader shift already underway: AI is no longer something applied on top of the business. It is becoming part of how the business runs.

How companies can get started

While the vision is ambitious, the path to becoming an Autonomous Enterprise does not require a “big bang” transformation. The most effective approach is incremental and outcome driven.

Organizations can begin by focusing on a single high-value process, making it more intelligent, more automated, and more transparent. From there, they can expand step by step, scaling what works and continuously demonstrating measurable impact.

Success depends on more than technology, though. Trust plays a central role. Employees, executives, and stakeholders must understand and trust how AI decisions are made. This requires transparent and explainable systems, reliable high-quality data foundations, and strong governance frameworks embedded from the start.

Change management is equally critical. Becoming an Autonomous Enterprise is as much about people as it is about platforms. Organizations must align training, redesign roles, and empower employees to co-create how AI is integrated into their work.

A shared journey forward

The Autonomous Enterprise is not a branding concept. It is a new way of running a business—one that is more automated, more data-driven, and ultimately more resilient. And no organization will navigate this journey alone.

That is the spirit behind this podcast. We want it to be a platform for shared learning, bringing together perspectives from across industries, functions, and geographies. Whether you are just beginning your AI journey or scaling enterprise-wide transformation, we hope these conversations give you practical insights and inspiration.

We would love for you to join us. Listen in, engage with the discussion, give feedback, and help shape what comes next.


Benedikt Gieger is AI strategy lead for SAP Supply Chain Management.
Julia Kloppenburg is a technology consultant for Customer Engagement & Adoption at SAP.

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Man on oil refinery distillation tower

How the SAP Tool Chain Fuels Fast Growth at Harbour Energy

“Why do oil and gas remain important today?” asked Graham Young, VP EMS Operation at Harbour Energy, at the recent TAC Insights conference for SAP for Energy and Utilities in Toulouse.

“The global energy demand won’t stop growing,” he explained. “As renewables only provide a small share of the energy we currently use, we’ll still need oil and gas that are safely produced as we transition to a lower carbon world.”

Crude oil still remains indispensable where alternatives are limited, particularly in heavy transport and the chemicals industry, and natural gas plays a key role in the low-carbon transition, both as an energy source and in large-scale hydrogen production.

A unique model

What’s interesting about Harbour Energy, one of the world’s largest and most geographically diverse independent oil and gas companies, isn’t just that it’s big. What’s interesting is how it got big and how it operates differently from traditional energy companies. The company was founded in 2014 by private equity firm EIG Global Energy Partners with a goal to build a global, independent company by acquisition.

“We’re basically trying to solve a very hard problem. How do we scale like a major, but stay agile like a startup?” Young said during his presentation about Harbour’s rapid growth journey. He explained that in a company that grows through acquisitions and runs multiple ERP systems, the role of technology is less about “one system” and more about connecting everything, standardizing insight, and accelerating change.

Masters of integration

Most oil and gas giants grew over decades. Harbour did it in about 10 years by pursuing an aggressive strategy of mergers and acquisitions, buying assets such as oil fields from industry giants like Shell. The company also scaled rapidly across 11 countries giving it a broad geographical reach. Crucially, Harbour Energy was often able to integrate acquisitions within a year, demonstrating a rare combination of speed and integration.

“A lot of companies struggle after acquisitions,” Young said. “Systems break, processes clash, value gets lost. At Harbour, we focus on quickly stabilizing new assets, extracting synergies early, and reducing operating costs even while growing.”

Young’s team took a different approach to technology. While most companies push for one massive ERP system, Harbour doesn’t blindly take that path. It runs multiple ERP systems when it makes sense, focuses on fit-for-purpose architecture, and uses tools to connect processes rather than force everything into one box. Such flexibility is a big advantage for a company that keeps acquiring new businesses.

The digital backbone

Because Harbour Energy operates multiple ERP systems rather than a single monolithic platform, complexity is unavoidable. SAP’s integrated tool chain, particularly SAP LeanIX solutions and the SAP Signavio portfolio, connects this landscape by aligning processes, linking capabilities to systems, and providing a unified view of ‘what’s where,’ ultimately creating visibility across an otherwise fragmented environment.

“Before we implemented the SAP tool chain, processes were hidden in Excel and PDFs. It was all part of the local knowledge we acquired,” Young said. “We had no clear view of duplication or inefficiencies. For example, we found that we had dozens of HR systems, which we were able to reduce by half.  We were able to consolidate 33 different ways to do travel expenses into just one.”

One major impact is speed. Whereas traditional transformation planning took up to 24 months, now, with the tool chain and process modeling, key design cycles can sometimes be achieved in four to six weeks. This is enabled by standard process templates and automated modelling for faster validation cycles leading to faster execution of integration and transformation programs.

In addition, tools like the SAP Test Automation solution by Tricentis and SAP Cloud ALM for application lifecycle management help ensure that releases are safer and fewer operational surprises occur during go-lives, which is critical in an industry where downtime is expensive.

By connecting systems and processes, the tool chain enables cost transparency across business units and investment prioritization based on real data. This directly supports financial discipline and shareholder value creation

For a company built on acquisitions, probably the biggest value driver is that the tool chain helps rapidly map the systems of acquired companies and compare them against Harbour’s core model identifying what to keep, retire, or migrate. This is why Harbour can integrate acquisitions quickly instead of getting stuck in years of IT consolidation.

Structure before automation

Only when processes are structured and visible can they be used for automation, which is why these tools all play a crucial role in enabling AI adoption. Standardized workflows and process maps are input for AI tools, and digital adoption platforms guide users through systems.

The three key engines provided by the SAP tool chain include:

  • Transparency engine makes the business visible end-to-end
  • Standardization engine aligns processes, systems, and capabilities globally
  • Acceleration engine speeds up M&A integration and transformation delivery

Together with SAP Analytics Cloud for global forecasting and planning, these tools are at the heart of the company’s successful business transformation.

Young listed the three strategic levers keeping the company strong, resilient, and ambitious. The first is maintaining strict financial discipline, followed by using data driven insights that ensure the company remains competitive, and, last but not least, equipping the business teams with advanced capabilities ensures resilience.

“The SAP tool chain allows us to grow aggressively through acquisitions without collapsing under complexity,” Young concluded. “It’s essentially the difference between chaotic expansion and controlled, scalable growth.”

Check out the SAP integrated tool chain and its core capabilities here.


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Shot of a young woman using a laptop while working in a server room

SAP Receives VS-NfD Authorization to Use for SAP Cloud Infrastructure

WALLDORFSAP SE (NYSE: SAP) today announced authorization to use from the German Federal Office for Information Security (BSI) to process information classified as “VS-NfD” (“Restricted – For Official Use Only”) on SAP Cloud Infrastructure in Walldorf/St. Leon-Rot. This strengthens SAP’s sovereign cloud portfolio for public sector organizations and regulated industries and enables security-critical SAP and customer applications to run in the cloud.

SAP is therefore one of only a few providers in Germany that will be offering a cloud environment whose key security components have received corresponding authorization to use from the BSI – and currently the only provider whose platform will be able to support both SAP applications and customer-specific applications in a high-performance, VS-NfD-compliant environment in the near future.

The authorization to use applies to workloads running on SAP Cloud Infrastructure in SAP’s own data centers in the Walldorf/St. Leon-Rot region, which are operated exclusively by security-cleared personnel. The authorization to use represents an important milestone and forms the basis for the subsequent full BSI approval SAP is working toward, including the recertification of SAP Cloud Infrastructure according to ISO 27001 based on the German IT-Grundschutz framework.

The evaluation process was completed in approximately 12 months and was characterized by close and constructive cooperation between the BSI and SAP — a sign of the growing collaboration between public authorities and industry in the field of IT security.

SAP Cloud Infrastructure: A Fully Sovereign Cloud Infrastructure from Germany

SAP Cloud Infrastructure is an Infrastructure-as-a-Service (IaaS) platform fully developed and operated by SAP, based on open-source technologies.

It is designed to provide customers with digital sovereignty across four dimensions: data sovereignty, operational sovereignty, technical sovereignty and legal sovereignty.

The foundation is a fully sovereign cloud region of SAP Cloud Infrastructure, comprising three independent availability zones in physically separated data centers in Walldorf/St. Leon-Rot. This sovereign cloud platform is further reinforced by a robust security and compliance foundation, demonstrated through certifications including ISO/IEC 27001 based on IT-Grundschutz for the data centers, EN 50600/ISO/IEC 22237, TSI Level 3+ and C5 Type II. Additionally, SAP Cloud Infrastructure has conducted a self-assessment against the BSI’s C3A (Criteria enabling Cloud Computing Autonomy) catalog, confirming compliance with all digital sovereignty requirements.

The VS-NfD authorization to use adds an important building block for security-critical use cases with the highest requirements.

As a deployment option within SAP Sovereign Cloud, SAP Cloud Infrastructure is an integral part of SAP’s portfolio for digital sovereignty. Together with the SAP Sovereign Cloud On-Site offering and Delos Cloud, SAP provides customers with demanding regulatory requirements the freedom of choice, control, and robust security they need.

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Media Contact:
Dana Roesiger, dana.roesiger@sap.com, +49 16090820259, 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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Male Manager Shaking Hands With Female Applicant

The Future of Hiring at SAP: SAP Runs SmartRecruiters

Put simply, talent acquisition at SAP is complex. Hiring 20,000-25,000 people annually across 160 countries creates a complicated landscape that requires streamlined workflows, clear communication, and scalability.

“Last year, we were in the process of planning the optimization of our talent discovery tech stack and then something happened,” Eric Goldstein, global head of Talent Discovery for SAP, said. “We acquired SmartRecruiters in September, so we had to pivot in an agile way.”

SmartRecruiters for SAP SuccessFactors enables enterprises to manage the entire hiring lifecycle, from sourcing to onboarding, with AI-enabled recruiting capabilities that can result in faster time-to-hire, improved candidate experiences, and deeper analytics for workforce planning.

For SAP, this means adding much-needed rigor and precision to its global talent acquisition operations. This will not only elevate the quality of hires but also the candidate experience, which Goldstein identified as the “biggest game changer.”

SAP runs SAP

SAP uses its own software to operate its global enterprise, acting as its own primary reference customer. By deploying its applications across 100,000 employees worldwide, SAP tests, refines, and showcases its products in real-world scenarios.

Building a more intelligent hiring process

SmartRecruiters for SAP SuccessFactors helps optimize processes, increasing transparency and personalization. This means improved experiences and processes for candidates, hiring managers, and recruiters. “We have been through a time where we focused solely on the recruiter experience. Then it was fashionable to focus only on the candidates. Now we really see that with SmartRecruiters, it really is an enhanced experience for all stakeholders that are involved in the recruiting process,” Ilka Sagner-David, global head of Talent Discovery Solutions and Innovations at SAP, said.

Candidate perspective

Seventy percent of candidates that apply for jobs are mindful to take their valuable time to do so, Goldstein shared, reiterating that it is important for companies to match that commitment when shaping and delivering the candidate experience. With SmartRecruiters for SAP SuccessFactors as the foundation, it becomes possible for every pre-qualified applicant to interview, receive personalized and constructive feedback post-interview, and maintain 24×7 interaction with agentic AI built into SmartRecruiters.

Simplify global hiring with an intelligent, end-to-end talent acquisition solution that supports any hiring need

“In our opinion, only responding with polite, automated rejection notes is not enough. [Candidates] need to be provided with some constructive, actionable feedback—and that’s what we [at SAP] are going to be able to do,” Goldstein said.

Hiring manager perspective

SmartRecruiters for SAP SuccessFactors can give hiring managers a more precise and consistent way to identify strong candidates, helping to reduce time-to-hire while improving hiring quality. AI-prompted interview questions focused on skills can support more relevant and structured conversations while greater transparency across interview panelists can create better alignment throughout the evaluation process. In addition, AI-supported feedback collection can make it easier for interviewers at SAP to capture timely, consistent insights, enabling its hiring teams to make more informed decisions with greater confidence. 

Recruiter perspective

Recruiters are often bogged down by manual tasks, such as outreach, prospect identification, and candidate screening, making it nearly impossible for them to step into the role of a trusted advisor. With SmartRecruiters for SAP SuccessFactors, recruiters can experience automated internal and external prospect identification, personalized outreach and prioritization of candidates, and, therefore, the ability to focus on higher value-add advisory and relationship management.

“It’s going to allow the recruiters to focus on relationship management with candidates and hiring managers, really challenging the feedback of how well the interview panel measures skills proficiency,” Goldstein said.

Bringing AI into the candidate journey

A key to the successful delivery of these benefits is SmartRecruiters Winston for SAP SuccessFactors, an AI-driven, candidate-facing agentic experience. At SAP Sapphire Orlando, Karl Baert, global head of People Solutions for SAP, demonstrated how Winston can facilitate the application experience for candidates.

In the demo, he acted as a candidate applying for an open position at SAP, showing how through a natural language conversation with Winston, he completed his application by uploading his CV and verifying some personal details with Winston. “All that information is very, very quickly brought together so with just a few questions my application is done,” Baert said, adding that “there’s also a few checks happening along the way because we want to make sure the data we are collecting is the right quality.”

Winston also collects feedback from the applicant. “Measuring the quality of your agent and what’s happening with it is important. It’s something that really needs to be actively monitored just to ensure that the information provided by the agent is accurate,” Baert said.

“The implementation of SmartRecruiters is the foundation for infusing AI into our processes,” Sagner-David said. But, she added, “we shouldn’t just plan to transfer everything tomorrow, but ensure we’re liberating AI when it makes sense.”

The next step

Currently, SmartRecruiters for SAP SuccessFactors is being implemented into SAP’s HR systems for two phases of user acceptance testing, with the global go-live expected in September.

SAP bringing SmartRecruiters for SAP SuccessFactors to life across its own organization is more than a technology rollout, it’s a glimpse into the future of hiring at scale: more intelligent, more human, and more connected. By combining AI, better experiences, and real-word enterprise rigor, SAP is not only transforming how it hires but also helping to define what modern hiring can look like for companies everywhere.

Learn more about SmartRecruiters for SAP SuccessFactors.


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SAP’s AI-Native North Star Architecture: Technical Backbone of the Autonomous Enterprise

A finance leader looks at an overdue invoice. The ERP confirms the fact: Payment is late, the supplier is on file, the contract is active.

Autonomous Enterprise: The start of a bold new way of doing business

What it cannot say is why this supplier keeps slipping, what resolved a similar dispute last time, or that the same supplier has a delayed shipment in logistics and a renegotiated contract in procurement at the same moment.

The reasoning behind enterprise decisions has stayed locked in human judgment, scattered across systems.

For 50 years, enterprise software has been an excellent system of record. Closing the reasoning gap on top of it is what enterprise AI was always meant to do.

From AI-first to AI-native

The first wave, the AI-first approach, added intelligence inside existing applications. A feature can summarize an invoice or suggest a journal entry, but it lives within one application and cannot see across the landscape. Three barriers keep it confined: It lacks business and process context, it sits on disconnected systems without a shared data model, and it lacks the governance to be accountable at scale.

Meanwhile, the pace of change is unforgiving. Agentic systems, new interaction models, and new ways of grounding AI in business data are arriving faster than most architectures can absorb. As SAP CEO Christian Klein noted this year at SAP Sapphire, 80% accuracy may suffice for consumer AI; it is nowhere near enough for the world’s most business-critical processes. Bolting more intelligence onto isolated applications will not close that gap. It only multiplies the silos.

So what does it actually take to move beyond isolated AI features and build an enterprise that reasons, learns, and acts as one, without sacrificing the trust, governance, and reliability the business depends on? It is the question CIOs, CTOs, and enterprise architects are working through right now.

The foundation behind the Autonomous Enterprise

It takes a new foundation, and that is exactly what SAP’s AI-Native North Star Architecture provides.

This is not a white paper that sits on a shelf; it is the technology foundation SAP is actively building to bring the Autonomous Enterprise to life: a business where agents, orchestration, and data work in one continuous loop to turn intent into trusted outcomes.

The shift it enables is from AI-first to AI-native, where software operates across the landscape as a system of context: an intelligence layer connecting data, process knowledge, decision history, and semantics. Agents reason over the whole picture, not fragments. Every interaction feeds intelligence. Every correction becomes a learning signal. Value shifts from software as a service to outcome as a service.

AI-native paves the way for the Autonomous Enterprise: one system of context that understands disputes in service, delays in logistics, and contract changes in procurement all at once, and can act on them with full governance and accountability.

Philipp Herzig, CTO and Member of the Extended Board, SAP SE

Crucially, AI-native does not replace what already works. It pairs two complementary paths. The deterministic path keeps the predictable, rule-based execution that compliance depends on. The probabilistic, AI-native path adds reasoning that learns from data and experience. One is reliable but rigid. The other is powerful, but without context and control, often confidently wrong. Context engineering, guardrails, and observability bind the two, turning raw capability into reasoning the enterprise can trust.

The architecture delivers this through four reimagined layers that together form a cognitive core:

  • The user experience layer shifts interaction from navigating apps to stating intent, with Joule as the central engagement point.
  • The process layer turns applications into capability providers that expose stable APIs, events, and data for agents to orchestrate.
  • The foundation layer is where data and AI come together as the intelligent core: orchestration, reasoning, and model services on one side; SAP Business Data Cloud and the SAP Knowledge Graph on the other, with SAP-trained models, including SAP-RPT-1 for structured business data, sitting alongside leading third-party models in one governed generative AI hub.
  • The platform layer provides the runtime, governance, and harness that turn stateless models into reliable enterprise agents.

It defines the cornerstone architectural building blocks for agentic systems across experience, process, data, and platform, turning SAP’s unique business context into a living system of intelligence

What does this look like in practice? A finance analyst asks Joule to resolve high-value disputes likely to delay payment. Joule does not act alone. It coordinates AI assistants, which in turn direct specialist AI agents through agentic orchestration: the assistant decomposes the goal, delegates to a finance agent and a service agent, and reconciles their results. People set direction; assistants coordinate; agents execute. Those agents draw on the right information through context engineering, find the correct data through semantic grounding in SAP Knowledge Graph, and act within governed boundaries, routing only exceptions to a human. Each resolution becomes a decision trace that makes the next one smarter.

This is not theoretical. During the 2026 keynote at SAP Sapphire, SAP COO Sebastian Steinhaeuser pointed to life sciences customer Takeda, which is achieving up to 10% productivity gains, up to 25% reduction in revenue loss from stock-outs, and up to five percent reduction in safety stock through autonomous regulated manufacturing. That is what AI-native looks like at work.

Data was the moat of the last decade.
Context is the moat of the next.

Frontier models are available to everyone. Business context is not. Each resolved dispute, each corrected decision, each completed process adds to it, compounding with every interaction.

Trust is engineered in, not bolted on. A set of cross-cutting, SAP-managed qualities holds the layers together: integration, identity, security, observability, and extensibility, with resilience, compliance, and sustainability handled by the platform.

Autonomy only creates value when it is governed, so agents become first-class principals with their own agent identity, scoped to a bounded subset of permissions and audited like any enterprise actor. Harness engineering wraps each model with the sandboxing, memory, and guardrails that make it dependable.

As the paper puts it, the model reasons but the harness governs, and it is the harness, not the model, that determines the ceiling. Open standards such as the Model Context Protocol and Agent2Agent protocol let agents interoperate across the enterprise, while sovereign cloud options keep data residency and compliance built in.

This direction is being shaped with the customer community, not handed down to it: the architecture carries forewords from the leaders of the German-Speaking SAP User Group (DSAG) and Americas’ SAP Users’ Group (ASUG) alongside SAP’s own.

The North Star is a living document. Published openly on SAP Architecture Center, it will keep evolving as the technology and the agentic ecosystem advance, and as customer feedback shapes the design. If you build with SAP or build on SAP, this is your invitation: Read the architecture, push back where it should be sharper, and contribute. The same invitation extends to the wider SAP Architecture Center site, where SAP’s reference architectures are being built openly with the community. 

Read the AI-Native North Star Architecture and open the full paper on SAP Architecture Center or download it as PDF.

Beyond the architecture itself is a single commitment: building systems that learn rather than dictate. For SAP customers, 50 years of process knowledge, governed data, and trusted decision frameworks compound into a new kind of enterprise intelligence that is reliable, transparent, and deeply human.

The Autonomous Enterprise will not arrive as a single product launch. It will be built layer by layer, decision by decision, on the foundation described here, one grounded interaction at a time.


Anirban Majumdar is head of the Office of the CTO at SAP.
PVN PavanKumar is vice president of the Office of the CTO at SAP.

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AI as a Game Changer for the Energy and Utilities Industry 

This year, leading experts from the energy industry once again gathered at the SAP for Energy & Utilities Conference—this time in Toulouse in the south of France. Throughout the three conference days featuring keynotes and case studies, AI was an omnipresent topic. 

AI works when the foundation is right 

The energy and utilities sector is investing heavily in AI. Business leaders worldwide are embracing artificial intelligence to increase efficiency, unlock new business models, and prepare for the energy transition. A successful proof of concept is often the first milestone—but it marks only the beginning. The real challenge lies in scaling pilot projects across the entire organization. 

In this context, the time and effort required for a full implementation is frequently underestimated. Around six months are needed to build a robust data foundation. A further 12 months pass before initial results manifest in the form of a measurable return on investment. Large-scale rollout can take another three years. The reasons for this are manifold: 

  • Unrealistic expectations: Many people use AI in their daily lives for simple tasks and expect similarly seamless effects in complex enterprise environments. 
  • Legacy infrastructure: Historically grown system landscapes cannot be transformed overnight. 
  • Regulatory complexity: In regulated industries such as electricity, gas, and water supply, compliance requirements are particularly high. They must be factored into every architectural decision from the very beginning. 
  • Lack of AI-specific talent: What is needed are people who genuinely understand both the business and AI. This bridge between IT and the business side will become increasingly important in the future. 
  • Organizational change management: Technology alone is not enough. Organizational transformation is and remains the decisive success factor. 
Power the energy transition with solutions from SAP

From AI hype to real value 

Building a new application is only the first step. On the path to scaling, lifecycle management, identity and access management, security, compliance, and governance must all be consistently taken into account. Release management, testing, and continuous improvement processes add further complexity. “The companies that invest in the right foundation today will benefit from AI to its full extent tomorrow,” says Andre Bechtold, president and head of SAP Industries & Experiences. 

For companies, this means overcoming fragmented data silos and developing an integrated data strategy. Legacy systems must be integrated into a modern data and AI platform on which AI models can genuinely create value. Torsten Welte, head of Energy & Natural Resources Industries at SAP, summarizes it as follows: “AI is fundamentally transforming the energy industry. The business must understand what is technologically possible. And IT must understand what the business needs.” 

SAP Business Suite can provide the essential foundation for this. AI is already natively embedded in the suite in the form of Joule. This can open up concrete use cases for the energy industry: in the area of asset management and predictive maintenance, utilities can proactively manage assets and grids before disruptions occur. The Utilities Customer Self-Service Agent, in turn, enables 24/7 self-service for customers and can reduce service costs by up to 90%. 

Distributed energy requires intelligent networking 

The topic of distributed energy resources (DER) remains of central importance. In the past, energy flowed in only one direction: from the power plant to consumers. In the future, it will be bidirectional. Consumers that generate their own energy will actively feed it back into the grid. 

DER describes precisely this principle: the generation of electricity through millions of decentralized resources such as solar panels, EV chargers, heat pumps, and battery storage systems by consumers and so-called prosumers. These assets generate vast amounts of data. Their orchestration represents one of the key challenges of the energy transition. 

The SAP Distributed Energy Resources solution provides a platform for a single source of truth: technical assets, commercial contracts, and customer data are brought together in a coherent data model. This helps create the foundation for new business models such as smart tariffs, dynamic pricing, energy sharing, and demand response.

SAP consistently relies on a growing partner network built around its own data platform. Markus Bechmann, global VP and co-head of Industry Business Unit Utilities at SAP, describes it this way: “Dynamic pricing and smart tariffs are no longer distant concepts. They are the business models of tomorrow. With SAP, energy providers already have the technological foundation today to seize these opportunities.” 

SAP Experience Centers: experiencing AI, not just discussing it 

To make AI tangible, SAP Experience Centers offer visitors the opportunity to experience AI in real-world scenarios beyond classic demo environments. One central example is the SAP Energy Park in Walldorf. Using real infrastructure on the campus, SAP demonstrates how the company itself is implementing the energy transition. This includes e-mobility, intelligent asset management, and energy communities. 

A new chapter for the energy industry 

The SAP for Energy & Utilities Conference in Toulouse has once again demonstrated that AI in the energy industry is no longer a topic for the future. However, the path from pilot project to company-wide transformation requires more than technological enthusiasm. To meet the challenges of the energy transition, what is needed—alongside technological innovation—is a solid foundation of data, processes, and organization.


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