The Top Innovators of 2026: Announcing the SAP Innovation Award Finalists

Meaningful innovations rarely announce themselves. More often, they are built into how an organization runs, absorbed into its operations, its culture, its sense of what’s possible. They quietly perform, deliberately building toward outcomes that matter long before anyone is watching.

For 13 years, we have been shining a light on the people and organizations doing breakthrough work. Today, it’s my pleasure to announce the 2026 SAP Innovation Award finalists.

What distinguishes this year’s innovators is their ability to use SAP technology to run, adapt, and innovate in the face of change and complexity. From using AI to unify financial and sustainability data to redesigning value chains for resilience and predicting risks rather than reacting to them, they are closing the “say-do” action gap and making innovation real.

Recognizing organizations innovating with purpose and achieving meaningful outcomes with SAP technologies

Meet the 2026 finalists

The day we announce these finalists is always a highlight because we see how organizations are leveraging the SAP landscape to make a tangible difference. This year, our finalists are setting benchmarks across 11 key categories:

  • AI Excellence: harnessing SAP Business AI to revolutionize processes and unlock new levels of productivity
  • Cloud ERP Champion: embracing cloud ERP to future-proof operations
  • Customer Experience Innovator: transforming businesses with cloud technologies to create standout experiences
  • Financial Futurist: revolutionizing financial processes to deliver new business models and reduce risk
  • People Experience Pioneer: reimagining the employee journey through digital transformation
  • Procurement Visionary: automating procurement to manage spend for better control and greater value
  • Services Superstar: leveraging SAP services to accelerate business goals and enhance productivity
  • Supply Chain Catalyst: building strong, well-orchestrated supply chains that are resilient and compliant
  • Sustainability Hero: harnessing the power of data to build an inclusive economy and shape a sustainable future (My personal favorite!)
  • Technology Pathfinder: implementing SAP Business Technology Platform to solve business problems with measurable impact.
  • Transformation Impact: generating critical business value and strengthening transformation capabilities to remain resilient
  • Industry Leader: leveraging multiple SAP solutions to reinvent business models, collaborate across ecosystems, and create meaningful societal or environmental impact (Note: All entries are also automatically considered for the Industry Leader category, recognizing modernization within specific verticals from consumer industries to public services.)

View the full list of 2026 finalists here.


The road ahead

To our finalists: congratulations.

You were selected by our distinguished panel of judges because you aren’t just comparing today against the peak of the hype cycle; you are building for the reality of the future. You have demonstrated case creativity, tangible outcomes, and the true spirit of the intelligent enterprise.

What comes next? The winners will be announced on April 14, 2026. Winners will receive a trophy and the option of a $1,000 charitable donation voucher or an admission ticket to SAP Sapphire Orlando or Madrid, where we will hold the SAP Innovation Awards reception.

But beyond the trophies, these finalists represent a signal to the market. They show us that while short-term risks are noisy and reactive, long-term value is built by those who integrate, automate, and adapt.

Let’s stay engaged, stay inspired, and keep closing the gap between saying and doing.


Sophia Mendelsohn is chief sustainability and commercial officer at SAP.

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SAP Named a Leader in the 2026 Gartner® Magic Quadrant™ for Transportation Management Systems

SAP has been recognized as a Leader for the 12th consecutive year in the 2026 Gartner® Magic Quadrant™ for Transportation Management Systems.*

Reduce complexity, increase efficiency, and improve agility for a more sustainable, risk-resilient supply chain

We believe this recognition reflects SAP’s continued focus on helping organizations run resilient, efficient, and increasingly intelligent transportation operations in a rapidly changing global logistics environment.

Magic Quadrant reports are a culmination of rigorous, fact-based research in specific markets, providing a wide-angle view of the relative positions of providers in markets where growth is high and provider differentiation is distinct.

We believe SAP’s placement as a Leader underscores our commitment to ongoing innovation across transportation, logistics execution, and supply chain orchestration.

Addressing today’s transportation challenges

Transportation operations are under constant pressure, from cost volatility and capacity constraints to sustainability requirements and rising customer expectations. Organizations need solutions that help them plan, execute, and adapt across increasingly complex networks while maintaining visibility and control.

SAP Transportation Management and SAP Business Network for Logistics are designed to support these needs through a holistic, end‑to‑end approach. By connecting freight procurement, planning, execution, and settlement on a single platform, SAP helps organizations respond more effectively to disruptions, align transportation decisions with broader supply chain objectives, and support compliance with regional and industry‑specific requirements.

A platform built for complex, global operations

SAP Transportation Management supports organizations operating across multiple modes, regions, and industries. Built to scale with business growth, the solution is designed to support complex, global transportation networks while enabling standardization and process consistency across operations.

Customers across industries—including consumer products, chemicals, agriculture, mining, retail, wholesale distribution, and industrial manufacturing—use SAP Transportation Management to manage complex transportation networks at scale. Industry‑specific capabilities from SAP, such as support for automotive and mill and mining operations, along with integration with SAP Joule for Consultants, help organizations address specialized requirements while accelerating time to value. Dedicated industry business units further tailor go‑to‑market strategies and solutions to industry‑specific challenges.

Advancing transportation management with AI

Data-driven decision-making is increasingly essential for transportation operations. SAP continues to invest in AI-driven capabilities that help automate processes, improve responsiveness, and increase productivity.

Recent innovations include AI-assisted use cases such as goods receipt processing, as well as the integration of conversational planning into transportation planning workflows. These capabilities are designed to help planners and operators work more efficiently by reducing manual effort and supporting faster, more informed decisions across execution and settlement processes. SAP Joule for Consultants is another recent AI innovation that accelerates solution adoption by offering instant, expert-level guidance and best practice recommendations for solution configuration.

Supporting a connected logistics landscape

Transportation does not operate in isolation. SAP’s logistics portfolio brings together transportation, warehousing, and business network collaboration on a cohesive foundation.

This includes the recent general availability of SAP Logistics Management, a new solution designed to support regional and local distribution operations by combining transportation execution, warehouse processes, and carrier collaboration in a single offering. SAP Logistics Management complements SAP Transportation Management by helping organizations extend standardized logistics processes to satellite locations and growing operations, supporting broader adoption while reducing complexity. SAP Logistics Management can be deployed alongside SAP Transportation Management to support multi-tier transportation operations, providing the right tool for each level of complexity.

SAP Transportation Management, together with other logistics solutions from SAP, helps organizations modernize their logistics operations in a way that aligns with their broader ERP and supply chain strategies as they progress on their transformational journeys via RISE with SAP or SAP GROW.

Why organizations choose SAP Transportation Management

Organizations choose SAP Transportation Management to support complex transportation requirements across global and regional operations. The solution offers broad functional coverage, deep integration across the SAP supply chain portfolio, and the flexibility to support both advanced transportation networks and evolving business needs.

With continued investment across SAP Transportation Management, SAP Logistics Management, warehousing, and SAP Business Network for Logistics, SAP remains focused on helping organizations operate resilient transportation processes while supporting both global complexity and localized execution models.

Explore how SAP Transportation Management can help support resilient, intelligent, and sustainable transportation operations.


Till Dengel is global head of Product Marketing for Logistics and Asset & Service Management at SAP.

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*Gartner, Magic Quadrant for Transportation Management Systems, Brock Johns, Oscar Sanchez Duran, Manav Jain, 30 March 2026.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.

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Showcasing AI Innovation: Hasso Plattner Founders’ Award 2025 Winners Announced

Last week, the Executive Board of SAP SE announced the 2025 winners of the Hasso Plattner Founders’ Award, the company’s most prestigious employee recognition. Named after SAP co-founder Hasso Plattner, the award honors teams whose innovation, collaboration, and execution create exceptional value for customers and help shape the company’s long-term success.

The 11th cycle of the Hasso Plattner Founders‘ Award saw an evolution of the award itself. With a refined structure and this year’s strong thematic focus on AI, the award now recognizes achievements in two categories: Emerging Ideas, honoring visionary concepts that explore new architectural directions and long-term opportunities for customers and the business, and Scaling Innovation, celebrating innovations already delivering proven impact at scale.

The jury received a total of 254 submissions from all over the globe, from which 41 finalists representing nine different countries were chosen. Six teams made it to the final round, highlighting the breadth of innovation across teams worldwide.

The winning teams were formally recognized and celebrated during a red carpet award ceremony on March 26 at SAP headquarters in Walldorf, Germany. Executive Board Members Christian Klein and Sebastian Steinhaeuser introduced the finalists and announced the winners in the Emerging Ideas and Scaling Innovation categories, respectively. 

Emerging Ideas winner: SAP Cognitive Twin Enterprise

The Emerging Ideas category honors bold thinking and visionary concepts that explore the future of enterprise software. This year’s winner, SAP Cognitive Twin Enterprise (SAP CTE), embodies this forward-looking spirit by presenting a new way of how organizations plan, simulate, and execute in an increasingly complex and fast-changing world.  

SAP CTE introduces the idea of an ever-learning, AI-powered intelligence layer built on a continuously updated model of the entire organization. It unifies data, simulation, and AI on SAP’s foundation to help deliver guided autonomy across functions, supporting the shift from keyboard-centric SaaS to governed decision-making and agent-led execution. 

Acting as a constant observer of the business landscape, SAP CTE evaluates an organization’s position against anticipated trends and potential changes. It runs what-if simulations and provides governed recommendations on SAP applications and data across finance, spend, supply chain, HR, and customer experience, with selective, low-risk auto-execution and human-in-the-loop control for high-risk steps. By doing so, it can transform ERP into an AI-native system of foresight and elevates workforce intelligence. 

The solution helps organizations move from reacting after events occur to proactively and continuously testing scenarios, anticipating risks, and evaluating options. This provides the information they need to make critical decisions, allowing them to anticipate what’s next, shape it, and execute in a single, connected environment.  

“Winning the Hasso Plattner Founders’ Award validated SAP Cognitive Twin Enterprise’s vision,” Natalia Aksakova, Strategy & Portfolio at Global Finance and Administration, says on behalf of the team. “It reinforced that we are on the right path and gives us the momentum to bring the next era of ERP to life faster, with the ambition to help define how organizations operate in the years ahead.” 

Scaling Innovation winner: SAP Document AI

The winner in the Scaling Innovation category demonstrates how breakthrough innovation becomes truly transformative when it is embedded into everyday business processes and adopted at global scale. The SAP Document AI solution can fundamentally change how organizations process and understand the vast volume of documents that power daily operations.

Across industries, enterprises continue to grapple with the rapid growth of unstructured data. Invoices, purchase orders, contracts, shipping documents, and many other business records still require significant manual handling in many organizations, creating bottlenecks, delays, and avoidable errors. The SAP Document AI team addressed this challenge by bringing intelligent document processing directly into core business applications, enabling customers to automate document workflows seamlessly and securely.

What sets this achievement apart is not only the technological innovation but the scale of real-world adoption. The solution has become deeply embedded across SAP’s portfolio and is used by tens of thousands of customers worldwide to process billions of documents. By integrating advanced AI capabilities directly into existing workflows, the team has made automation accessible without the need for complex integrations or specialized expertise. This approach enables organizations to accelerate business processes, reduce manual effort, and improve the quality and speed of decision-making.

The award recognizes the team’s ability to translate research excellence and engineering innovation into measurable business impact. Their work demonstrates how embedded AI can move beyond experimentation to become a trusted and reliable component of everyday enterprise operations. By operationalizing AI responsibly and at scale, the team has helped strengthen SAP’s position as a leader in enterprise automation and intelligent applications.

Equally important is the long-term perspective behind the innovation. The continued evolution of document understanding capabilities, combined with growing adoption across SAP’s platform, illustrates how scalable AI can serve as a foundation for future innovation. The recognition celebrates not only the impact already achieved but also the momentum created for the next generation of intelligent enterprise processes.

“Winning this award is a tremendous honor for our team,” Tobias Weller, chief product owner and team lead, says. “It validates years of hard work, close collaboration, and a shared belief in the transformative potential of AI to accelerate essential business processes and capture true business value for our customers.”

Celebrating innovation across the AI spectrum

The Hasso Plattner Founders’ Award has long celebrated the people and ideas that drive SAP forward. By recognizing both scaled impact and visionary thinking, the award highlights how innovation thrives at every stage of the journey—from early exploration to global adoption. It underscores the belief that long-term success depends on both delivering value today and continuously reimagining what is possible.

At the ceremony in Walldorf, employees around the world came together or joined virtually to celebrate the winning teams and the many contributors who helped bring their ideas to life. Their work reflects the creativity, dedication, and passion that define SAP’s culture of innovation. As the company continues to advance its AI-driven strategy, this year’s winners demonstrate how teams across the organization are turning ambition into reality—helping customers run better, adapt faster, and prepare for the future.

The winning teams will be given the opportunity to pitch their project to the Executive Board in 2026. The projects will be recognized in the permanent Founders’ Exhibits in Walldorf and Palo Alto. In addition, the members of the winning teams will receive a personalized trophy.


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AI Road Map: How Accenture Uses AI as a Growth Engine

Nearly every enterprise leader today thinks about how to leverage AI to accelerate business outcomes—where to get started is another matter.

A great way to break through that roadblock is to listen to leaders who jumped in early to use AI to transform outcomes. Eli Lambert, a managing director of Finance in the Global IT division at Accenture, is one of those people.

The professional solutions and services company employs nearly 780,000 employees across 52 countries, who work with 350 partners to serve over 9,000 clients. The idea of transformation at Accenture’s scale might be intimidating to some, but not Lambert. He’s leading an ongoing transformation of Accenture’s finance function, which he calls “the heartbeat” of the company.

The results he’s achieved— including saving the finance team a combined 57,000 hours annually by having AI generate narrative summaries for reporting—shine a spotlight on what’s possible. And he’s just getting started.

Accenture is a multinational professional services firm that specializes in IT and management consulting

  • 780,00 employees in 52 countries
  • 350 partners
  • 9,000 clients
  • Recognized for 20 years by Fortune’s “most admired companies” list
  • Ranked first in industry, and fifth overall, on “Just Companies” list

www.Accenture.com

I had a chance to speak with him about how he became a leader in AI-driven transformation, and what others can learn from his achievements. This is a lightly edited version of our conversation


Q: As you know, innovating with AI is about reshaping how a business delivers value. But not every business leader is leading the charge. Some are watching and waiting. Why did you roll up your sleeves and decide to be on the forefront?

A: Taking a leadership position on AI is important to keep moving forward and shaping new services and capabilities. For example, across a company our size, even though we’re hyper focused on emerging technologies, we can find small problems across our technology landscape. There are processes and data living in different places and silos develop over time. Most large companies have this challenge. But those are valuable processes, and the business data we have is especially valuable. AI opens up new opportunities to bridge those gaps and deliver more end-to-end outcomes, so that our finance function can meet the growing business expectations of our stakeholders.

Eli Lambert and Brenda Bown at SAP Connect in October 2025
Eli Lambert and Brenda Bown at SAP Connect in October 2025

For many companies, the key to getting impactful results from business AI is to start with one function that’s central to business performance. Why was finance the right place for you to begin, and what did you want to achieve?

I always say finance is the heartbeat of our organization. I heard one of our global IT leaders use that phrase, and while it was inspirational, it also made me think, “Let’s not accidentally cause a heart attack for the organization.”

Jokes aside; he was right. Your transactional and operational data flows through finance, and management decisions sit on top of it. Starting there gave us the ability to make end-to-end impact across processes that touch procurement, liquidity, forecasting, receivables, and more. And SAP gives us a digital core where all that transactional data is harmonized.

The bottom line is that finance is the natural starting point if you want to move from reactive reporting toward more proactive, AI-driven insights that you can use to help move the business forward. So, we set out to unify data and transform finance processes in a way that scales across the whole value chain.

Cash and liquidity are so important in the finance function, and to an entire company. But managing it requires bringing together data, forecasting, and decision-making across many teams. How did AI help?

If finance is the heartbeat of a company, cash and liquidity are the lifeblood of your systems. Here’s a great example: Accenture engages in a lot of acquisitions, and we run operational cash in 50-plus countries, so it’s easy for decisions to default to historical, manual reviews. That’s what was happening at Accenture before a forward-thinking leader stopped by and asked if we could apply machine learning to the problem. Great leaders often ask great questions, and that one really got us thinking.

[AI] freed up 20% of our idle cash, which we could then move into global operations to fund acquisitions and strategic growth.

Eli Lambert

We took inspiration from retail: how stores treat inventory based on discounts and sales. If you treat cash like stock, you can apply those same learning models to figure out how much you really need to hold onto at any point in time. That’s how we built what we call “Intelligent Cash.” It brings all the business data together into a single data mart, a repository for structured data for a specific department or line of business, and uses machine learning to generate recommendations that our teams can act on.

AI is so good at this, and here’s what’s incredible: It freed up 20% of our idle cash, which we could then move into global operations to fund acquisitions and strategic growth. Now what used to take months, or even more than a year to build, we can now do it in days or weeks because SAP’s data cloud brings [SAP] Datasphere, Databricks, and our machine-learning workloads into one place. The result is faster decision-making, better visibility, and much more accurate forecasting.

I love hearing about how you were able to use gains, delivered through strategic AI innovation, and then channel those gains into a high-value activity for the organization.  I know you also worked on receivables, something that impacts cash flow and customer relationships. What pain points did you face, and how did automation and machine learning transform the process?

Receivables were highly manual compared to payables. Clearing was inconsistent, and reconciliation took a lot of time because payments often come incomplete or with partial data. Anyone who works in or near finance knows exactly what I’m talking about. So, we co-developed on the SAP platform a machine-learning-based receivables solution. It more than doubled the automation rate for receivables processing and tripled automatic reconciliation, about a 300% improvement.

As part of that, we introduced high-confidence, one-click matching recommendations that reduce errors and cut down the manual work. We saw a seven percent uplift in auto-clearing with a cash application scheduler built on the SAP platform that delivers matches about 77% faster. All of that adds up to a more efficient receivables process, improved cash-flow visibility, and better productivity for the team.

In a global organization like Accenture, reconciling financial data and surfacing meaningful insights can be a huge amount of work. You turned to generative AI to help, which is really smart. What led you to that approach, and how is it changing your team’s day-to-day experiences?

We were dealing with balance sheet reconciliations across 50-plus countries, and the process was decentralized. I know a lot of companies face this problem. So, first, we moved everything online. Then we brought in machine learning and generative AI to analyze cost categories, summarize data, and surface important shifts.

[Our] Intelligent Financial Advisor, built on the SAP platform, can generate narrative commentaries that are so accurate that over 90% are simply approved with little or no revision. That’s saved about 57,000 hours globally. Our teams can focus on higher-value analysis instead of manual reconciliation.

Eli Lambert

We then deployed an Intelligent Financial Advisor built on the SAP platform that can generate narrative commentaries that are so accurate that over 90% are simply approved with little or no revision. That’s saved about 57,000 hours globally, just in controllership work, and helped us move to a three-day global close instead of five. The insights come faster and clearer, and the teams can focus on higher-value analysis instead of manual reconciliation. It’s also helping create more consistent roll-ups across regions and letting us use our talent more strategically.

I’m hearing this theme of not only measurable business gains from outputs, but the ability to better allocate time from manual, rote tasks to ones that deliver far more value for the business. That also applies to planning and forecasting. How did you bring AI into that part of the finance function?

Our planning work had grown too complex. Remember, we’re a large-scale, multifaceted global business. So, we replaced old models with SAP Analytics Cloud, which gives us multi-year planning models enhanced by AI.

We applied it first to merger and acquisition modeling, where accuracy really matters. It lets us model very complex data sets and helps our finance team collaborate more easily across the business. The results have been more accurate forecasts, reduced risk of errors, and much better collaboration between executives and practitioners. Early results were strong, and that encouraged us to expand AI use in planning more broadly.

What advice do you have for leaders who are not as far along in using AI to supercharge business results?

First, start with a high-impact function tied to real outcomes. Then focus early on data quality and harmonization; it’s the foundation for everything that comes after. Then get your cadence right and your team working together. Hone in on the use cases that really matter to you—the best vendors can help you identify those—and make sure to get the help you need from those vendors and their partners.

Use AI to spur growth. At Accenture, we’ve been able to use AI to save significant cash in one area, which we then invest in another, high-growth process—acquisitions in our case. That’s how you use AI to really rethink your business and move it to the next level.

Eli Lambert, on advice to other enterprises

As you go, take a crawl-walk-run approach: start slow then increase the pace of scale and adoption over time. Be sure to invest in change management and upskilling as you go to spur learning and adoption. And partner closely with technology providers and system integrators who’ve been there before. That accelerates everything.

The final suggestion I have is to use AI to spur growth. At Accenture, we’ve been able to use AI to save significant cash in one area, which we then invest in another, high-growth process—acquisitions in our case. That’s how you use AI to really rethink your business and move it to the next level. And that’s possible today in ways that were not, even five years ago. Seize that opportunity.

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

I couldn’t agree more with Lambert. AI really does provide an opportunity to re-imagine entire business processes for greater impact.

To keep exploring what’s possible, learn more about what Lambert’s team has done with AI at Accenture. Then see more AI use cases in finance and across all your key functions, including procurement, supply chain, manufacturing, and more.


Brenda Bown is chief marketing officer for SAP Business AI.

How Swiss Robotics Company ANYbotics and SAP Are Turning Dirty, Dusty, and Dangerous Industrial Inspections into Business Insights

In some of the world’s most dangerous industrial environments, including oil refineries, offshore wind platforms, cement plants, and chemical facilities, human access is often limited, risky, or prohibitively expensive. 

ANYbotics, a Swiss robotics company, has stepped into this space with a vision to shape a safer future for industrial inspection, one where robots operate as autonomous members of the inspection team, running inspection operations integrated into plant maintenance workflows. 

This vision is embodied in the company’s “ANYmal”: a four-legged inspection robot designed specifically for heavy industry.

Unlike general-purpose robotics platforms, ANYmal is engineered to operate in “big, dirty, dusty, and dangerous” environments, says Nicole Zingg, director of Technology Partnerships at ANYbotics. Places where stairs, corrosion, heat, and unreliable connectivity are the norm, not the exception.

But hardware, Zingg says, is only one part of the puzzle that makes ANYmal indispensable to customers.

Inspection robotics is about data

“We build a hardware platform,” Zingg explains, “but inspection robotics is really about data that is consistent and trustworthy.”

ANYmal autonomously navigates industrial sites to collect data that goes beyond what a human can collect alone. Beyond just visual inspection, its sensors also collect multi-modal data, including thermal imaging, ultrasonic leak detection, gas concentration detection, acoustic anomaly detection, and more. The observations are fed into what ANYbotics calls “inspection intelligence,” which transforms the collected data into actionable operational insights. The result is higher uptime, longer asset lifecycles, and, most importantly, safer working conditions for humans.

ANYmal can make a huge impact on operations. One offshore wind customer, Zingg says, has used ANYmal to manage all inspections and has eliminated the need to send personnel to a remote platform for months. When human intervention was eventually required, ANYmal’s data from prior inspections made all the difference. The customer already knew exactly what was wrong, which expert to send, and what equipment to bring—avoiding costly and risky trial-and-error site visits.

See SAP and robotics in action at HANNOVER MESSE 2026

Yet for ANYbotics, delivering insights is not enough if those insights are not integrated in the software systems customers use.

“SAP is where ANYbotics needs to be native”

Through extensive user research, ANYbotics discovered that many plant operators, maintenance managers, and field service teams already run their daily operations in SAP. Work orders, asset histories, performance trends, and decisions all flow through SAP systems. “If customers are using SAP, SAP is where ANYbotics needs to be native,” Zingg says.

Meanwhile, SAP’s Project Embodied AI was looking for robotics companies to partner with. The project focuses on extending the impact of SAP Business AI into physical operations by enabling robots to autonomously perform complex tasks with an understanding of the broader business context.

It was clearly a perfect fit and has delivered advantages for both companies.

On the system side, a continuous, unbroken digital thread connects ANYbotics insights from industrial inspections to data in SAP systems, helping inform key business and operational decisions across the organization.

For end users, embedding ANYmal directly into familiar SAP workflows can also help ease adoption, since introducing robotics into already stretched industrial workforces can trigger anxiety. Concerns about job security, workflow disruption, and complexity are common, but embedding ANYmal directly into familiar SAP workflows can help reduce that friction, Zingg explains.

Treating robots as part of the workforce

The first major integration point was SAP Field Service Management. Rather than sending only human technicians, customers can now dispatch work orders directly to ANYmal as they would to any other field team member. The robot then autonomously executes inspection tasks, gathers data, and reports the results directly back into a company’s SAP system.

From there, the integration expanded into asset-related scenarios and is now moving toward broader enablement via SAP Business Technology Platform (SAP BTP), with the goal of allowing robot-generated data to land wherever customers need it in their SAP landscape.

The ambition is not to force humans to adapt to robots, but for robots to adapt to human workflows. “ANYmal has to put data in the SAP system, just like human team members,” Zingg notes. ANYmal becomes another worker in the same operational system of record.

Project Embodied AI in practice

This combination of ANYbotics robotic technology with SAP bridges the gap between physical operations and enterprise applications and tangibly reflects the goal of Project Embodied AI.

On the SAP side, AI agents operate on ANYmal’s robotic systems to execute physical tasks, such as safety inspections.

On the ANYbotics side, ANYmal is a physical object that moves through space, perceives its environment, and acts within real-world constraints. ANYmal uses SAP historic and time-series data to inform decisions while at the same time remaining fully autonomous even in environments with no connectivity.

It’s important to note, Zingg stresses, that ANYbotics has control over ANYmal’s behavior and inspection execution, while SAP has control over the business context such as work orders, asset data, or operational priorities. It is the SAP business context that informs how ANYmal’s insights are consumed and acted upon while ANYbotics controls ANYmal’s physical interactions.

Scaling safely and responsibly

Today, more than 200 ANYmal robots are already in productive use worldwide, with inspection deployments in heavy-industry environments that would otherwise require constant human exposure.

Safety remains central to ANYbotics. Each deployment includes extensive testing and an on-site field engineer who helps ANYmal learn and validate its environment and trains customer teams on safe operational procedures. While ANYmal is built to work independently, humans remain firmly in the loop.

A glimpse into the future

As industries face labor shortages and aging workforces, undocumented expertise can all too often be lost. With autonomous inspection robots such as ANYmal, this knowledge is captured and turned into programs that can run day in and day out across multiple sites. The captured data flows into SAP to become organizational intelligence that survives any workforce turnover.  

ANYbotics’ partnership with SAP shows that this combination of robotics and enterprise software is moving swiftly from the experimental stage to real-world implementation.

In the future, industrial inspection will be powered by AI, not as disembodied dashboards or isolated machines, but as an integrated intelligent system where physical robots and digital workflows in SAP systems operate as one.

In that future, robots like ANYmal are no longer novelties. They are coworkers, albeit mechanical four-legged ones, quietly extending human capability into places humans were never meant to go. These robots, together with SAP, are shaping for a future where dirty, dangerous, and dusty industrial inspections are being transformed into business insights.


Top image courtesy of ANYbotics

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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:
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SAP to Acquire Reltio: Make SAP and Non-SAP Data AI-Ready

WALLDORF & REDWOOD CITY— SAP SE (NYSE: SAP) and Reltio Inc. today announced that SAP has agreed to acquire Reltio, a leading master data management (MDM) software provider, to help customers make their SAP and non-SAP enterprise data AI-ready. Terms of the deal were not disclosed.

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

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

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

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

“Joining forces with SAP presents a tremendous opportunity for us to accelerate our mission,” Reltio Founder and CEO Manish Sood said. “Enterprise AI needs trusted context that is open and interoperable across the heterogeneous IT landscapes our customers run. This combination accelerates our ability to deliver Reltio as the system of context across SAP and non-SAP environments, while maintaining continuity for our customers and our partner ecosystem.”

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

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

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

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About Reltio

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

About SAP

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

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SAP and UnternehmerTUM Drive Co-Innovation in Embodied AI

SAP is expanding its collaboration with UnternehmerTUM (UTUM), Europe’s leading center for entrepreneurship and innovation based at the Technical University of Munich (TUM). One of the latest outcomes of this collaboration is SafetyGuard, a prototype for automated safety inspections that combines artificial intelligence and robotics to detect workplace hazards and help companies comply with safety standards.

SafetyGuard was created as part of a program at UTUM’s Digital Product School—where teams of selected students work on real-world challenges—in just 12 weeks by a student team, “MIDAS,” and SAP Research & Innovation. This project illustrates just how effective cross-location collaboration with the ecosystem can be in rapidly creating prototypes as a foundation for product development at SAP.

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Embodied AI: a joint focus of innovation

The objective of this particular prototyping project was to identify use cases in which robotics and AI could be seamlessly integrated into business processes. Based on its research and on user studies, team MIDAS pinpointed the reliable detection and documentation of safety risks as one such use case.

Safety inspections are essential in many industries, but they are often time-consuming and error-prone. SafetyGuard could change that: leveraging embodied AI, it makes inspections faster, more efficient, and more reliable, without increasing the workload for employees.

Embodied AI—the integration of artificial intelligence into physical robot systems—will be a focal point of investment and development work at SAP going forward.

SafetyGuard combines two technologies: modular robotics and AI-powered autonomy. In this prototype, robots, such as drones and humanoid systems capable of inspecting work environments without human intervention, are equipped with a specialized AI model that is trained, for example, to detect where protective equipment is missing and to automatically document safety-related incidents. What’s more, the robots can multitask. While they are carrying out inspections, they can transport materials and monitor machinery—an approach that combines efficiency gains with increased safety levels.

“SafetyGuard demonstrates just how effective our ecosystem approach is. In this project, an SAP team in Potsdam and a group of students in Munich joined forces and very quickly built a prototype that will have a real impact on product development,” Tobias Riasanow, head of Ecosystem Development at SAP Labs Germany, says. “It’s the perfect example of what SAP understands by ‘ecosystem development.’”

The project is also strategic to SAP in that SafetyGuard addresses real-life industry requirements and complements SAP’s solutions for environment, health, and safety management. The prototyping approach that led to SafetyGuard could therefore become part of the SAP portfolio in the future to help further reduce the time it takes to get from an idea to a product.

SafetyGuard was created as part of a program at UTUM’s Digital Product School

A close partnership

UnternehmerTUM (UTUM) (translates as “entrepreneurship”) was founded in 2002 and has become Europe’s largest center for innovation and business creation. Each year, its 500 employees support more than 120 scalable startups and 300 innovation projects. UTUM’s close links with leading industry partners create an environment in which new technologies can rapidly be deployed in real-world settings.

SAP has been working with UTUM since 2017. The non-profit organization is one of the founding partners of influential programs such as Digital Hub Mobility, Circular Republic, and Energy Innovation, which enable teams to test their ideas, validate them with partners, and hone them.

Programs with impact

To date, 13 prototypes have been developed for SAP under programs run by UTUM, all in close collaboration with product teams at SAP and directly related to their respective road maps. The programs offered by UTUM include:

  • Innovation Sprint: Here, students have just one week to work on prototypes for solving specific user challenges. The most recent sprint, The Future of Retail with SAP Joule, produced five such prototypes, including solutions for intelligent inventory optimization, virtual shelf monitoring, and retail assistance systems.
  • Digital Product School: This 12-week program for students is designed as a platform for developing executable software prototypes. One prototype created out of this program was Carbon Data Exchange, which is now part of SAP Sustainability Control Tower. Another is an application that makes it easier for developers to access the extensive documentation for SAP Field Service Management. Instead of wasting valuable time searching, they can simply type their questions into a chatbot and receive helpful answers, including code examples and direct links to the documentation they need.
  • Multistakeholder projects: Additional prototypes have been created in longer-term programs such as Digital Hub Mobility and Circular Republic. Programs like these bring together experts from companies, startups, and research institutions over several months and allow SAP to test innovations in real-world customer and partner environments at an early stage in their development.

Co-innovation gets results—faster

The collaboration between SAP and UTUM shows how quickly ideas can lead to tangible results when students, researchers, and SAP teams work together to apply scientific approaches to real-life industrial challenges. SafetyGuard is an example of how embodied AI innovations can be created and how different groups of experts can benefit from one another.

“SafetyGuard demonstrates the extensibility of SAP’s approach to embodied AI. SAP’s embodied AI layer integrates the business context and triggers actions across the suite. SafetyGuard’s AI-native, manufacturer-agnostic design is scalable across different use cases and enables multitasking, allowing, for example, robots to process safety incidents while performing other tasks such as industrial asset inspections. SafetyGuard is a proof point for SAP for the added value of using cognitive robotics in safety scenarios.”

Adelya Fatykhova and Dr. Łukasz Ostrowski, Initiators and Supervisors of the student challenge

This first appeared on the German SAP News Center.

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Team Liquid Turns to Joule to Unlock the Power of Esports Data

The world’s largest esports organization is turning to Joule to transform how it manages the vast amounts of data generated in competitive gaming.

“There’s so much data; I would say in esports, too much data,” said Thom Valks, partnerships manager at Team Liquid, referring to the 1 trillion points of data his company deals with. “How do you figure out what the right questions are to ask? And then how do you get quick answers to those questions? That was the main problem.”

Founded more than two decades ago, Team Liquid has become a global powerhouse in professional gaming.

Haleon Chooses SAP Solutions to Accelerate Growth Through Technology

WALLDORF — SAP SE (NYSE: SAP) and Haleon, a global consumer health company, today announced Haleon’s decision to adopt SAP Business Suite to enhance the enterprise’s digital infrastructure and advance AI capabilities across its business.

SAP Business Suite: Deliver exceptional business value and help your business stay ready for what’s next

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

“Delivering a better consumer experience starts with strong foundations, and leading digital technology and infrastructure are at the heart of this,” said Claire Dickson, Haleon’s chief digital and technology officer. “Our latest partnership with SAP is another important step in our journey to becoming a world-class consumer company. It will revolutionize how we operate, with AI-enabled systems driving faster, simpler, more integrated ways of working. This will allow our people to focus on what matters most—serving consumers and unlocking growth.”

SAP Business Suite will drive the simplification and standardization of critical processes across Haleon’s global operations, enabling more integrated, automated end-to-end processes across diverse parts of the organization.

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

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

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

“AI outcomes depend on connected processes and trusted data,” said Peter Maier, SAP’s senior vice president for strategic customer engagements. “With SAP Business Suite, Haleon is building an AI-ready foundation that embeds intelligence across the enterprise, helping simplify operations, improve resilience and scale innovation.”

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

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Media Contacts:
Lawrie Benfield, SAP, +44 7776515259, lawrie.benfield@sap.com, GMT
Sonya Domanski, SAP, +44 7345465928, sonya.domanski@sap.com, GMT
SAP Press Roompress@sap.com
Gemma Thomas, Haleon, gemma.x.thomas@haleon.com

The agreement referenced in this announcement was signed outside SAP’s first quarter reporting period.

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Top image courtesy of Haleon

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

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