Unleashing Business Transformation with Customer-Specific AI

Artificial intelligence (AI) has become the new catalyst of enterprise innovation. Yet, as AI becomes more embedded in core business processes, one thing is becoming clear: generic, out-of-the-box solutions alone cannot meet the complex, evolving demands of modern enterprises.

Boost productivity with the most powerful AI and agents fueled by the context of all your business data

Customers don’t seek off-the-shelf AI, they seek outcomes. They demand solutions tailored to their industry, aligned with strategic goals, and built to drive real results.

That is where customer-specific AI solutions add depth — not just as a technical enhancement, but as a strategic lever to unlock transformative business value.

According to McKinsey’s State of AI 2024, 72 percent of companies use AI in at least one business function, but only 23 percent report a significant impact on their bottom line. Why? Because many AI projects lack the contextual depth to solve the real industry-specific challenges businesses face.

Similarly, a 2024 IDC study shows that while 80 percent of enterprise leaders plan to increase AI investments, nearly half say the absence of domain-tailored solutions is a barrier to ROI. While foundational AI models provide broad capabilities, true business value comes from solutions tailored to each customer. These targeted applications ensure that innovation aligns with specific regulatory demands, operational realities, and customer requirements.

These custom solutions leverage proprietary data; they are designed for specific business processes and are co-developed with stakeholders who understand the operational heartbeat of the enterprise. The result is measurable business impact, as well as faster deployment and better performance.

At SAP, we see AI’s true potential in enhancing human decisions, simplifying complexity, and transforming customer experiences. But this potential is only realized when AI is deeply grounded in each customer’s business context. That is why our approach to customer-specific AI is built on three core principles:

  • Context-rich insights: With unmatched access to enterprise data from across industries and business functions, SAP is uniquely positioned to deliver AI that understands how real businesses run.
  • Trust and transparency: From model explainability to data privacy, AI from SAP is built on a foundation of enterprise-grade governance and responsible AI standards.
  • Co-innovation at scale: SAP partners closely with customers to develop differentiated AI solutions that solve their unique challenges.

Real outcomes with real customers

To address the complexity of managing nearly a million annual invoices across more than 40,000 contracts, Accenture partnered with SAP to simplify its fragmented, manual billing process. Using SAP Business Technology Platform and generative AI, the company built an intuitive, compliant application that empowers account executives to use AI for specific rate cards and contract terms, managing invoicing independently, and reducing reliance on specialist teams. The result was faster, more accurate billing, a better user experience, and major time savings, freeing commercial teams to focus on clients. By year-end, billing efficiency is expected to improve by 32 percent, with setup times cut in half and manual work replaced by an intuitive, automated platform.

Similarly, a global chemical and consumer goods company recently partnered with SAP to embed AI into its dispute management process, automating document indexing and classification. This customer-specific AI solution reduced manual effort, sped up resolution times, and boosted user productivity, showing how business-specific AI can streamline workflows and elevate customer experience at scale. The result was efficiency gains of up to 1,000 hours a month, reduced manual effort by over 500 hours/month, and improved accuracy and faster turnaround time for document-driven workflows.

These examples highlight a clear trend: customers want to co-create AI tailored to their needs, not just adopt a one-size-fits-all solution. Customer-specific AI solutions empower them to embed intelligence into the very workflows that define their competitive advantage, whether it’s last-mile logistics in retail, claims processing in insurance, or energy optimization in utilities.

In the coming years, enterprises will not differentiate by whether they use AI, but by how effectively they align AI to their business. Customer-specific AI solutions make this alignment possible. They bridge the gap between technology potential and business reality. They transform AI from a generic tool into a strategic advantage, enabling businesses to move faster, think smarter, and lead with purpose.

As more organizations navigate the complexities of digital transformation, those that embed AI into the heart of their unique processes will be the ones to redefine what is possible.

The future belongs to businesses that don’t just adopt AI, but shape it to fit their vision, values, and velocity.


Thomas Saueressig is a member of the Executive Board of SAP SE, Customer Services & Delivery.
Sindhu Gangadharan is head of Customer Innovation Services at SAP and managing director of SAP Labs India.

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Executing Excellence: Turning Procurement Strategies into Action with SAP Ariba Sourcing

In our journey towards the triple crown of strategic procurement, we’ve explored how SAP Spend Control Tower can provide crucial insights and how SAP Ariba Category Management helps transform these insights into robust strategies. Now, we arrive at the final and perhaps most critical phase: action.

This is where the rubber meets the road, where well-crafted plans deliver tangible results. Enter SAP Ariba Sourcing, the powerhouse solution that can turn procurement strategies into reality.

The triple crown of procurement: It includes insights (from SAP Spend Control Tower), planning (with SAP Ariba Category Management), and action (with SAP Ariba Sourcing). In this article, we’re focusing on action and SAP Ariba Sourcing.

The power of precision execution

In the world of procurement, even the most brilliant strategy is only as good as its execution. SAP Ariba Sourcing is designed to help quickly bridge the gap between planning and results, empowering your team to act with precision, speed, and intelligence.

Let’s dive into how SAP Ariba Sourcing can bring your procurement strategies to life.

Seamless integration with category management

One of the most powerful features of SAP Ariba Sourcing is its tight integration with SAP Ariba Category Management. This connection helps ensure that the objectives and strategies developed in the planning phase are seamlessly carried forward into the execution phase.

Imagine your category managers have identified a need to diversify suppliers in a critical component category to reduce risk. With SAP Ariba Sourcing, this strategy can be immediately visible to the sourcing team, helping to guide their actions as they create and manage sourcing events.

AI-powered supplier selection

SAP Ariba Sourcing can leverage artificial intelligence (AI) to help select the right suppliers for each sourcing event. The system can analyze your existing supply base, market data, and your specific requirements to suggest suppliers that best fit your needs.

Simplify management for the entire sourcing lifecycle with a unified platform and a global network of suppliers

For instance, if your strategy calls for reducing carbon emissions in your supply chain, AI can highlight suppliers with strong sustainability credentials. Or if you’re looking to mitigate geopolitical risks, it can suggest suppliers from diverse geographical regions.

Real-time market intelligence

In today’s volatile market, having access to real-time market intelligence is crucial. SAP Ariba Sourcing can provide up-to-date information on market trends, pricing, and supplier performance, allowing your team to make informed decisions during negotiations.

For example, if there’s a sudden spike in raw material prices, your sourcing team can immediately adjust their negotiation strategy, potentially saving millions in costs.

Collaborative sourcing events

SAP Ariba Sourcing can enable truly collaborative sourcing events. Multiple stakeholders can participate in the process, from defining requirements to evaluating bids. This helps ensure that all relevant perspectives are considered, leading to better outcomes.

Picture a scenario where you’re sourcing a new IT system. With SAP Ariba Sourcing, your IT team can provide technical specifications, your finance team can set budget parameters, and your legal team can ensure compliance requirements are met—all within the same platform.

Advanced analytics and reporting

The solution can provide powerful analytics and reporting capabilities, allowing you to track the progress and success of your sourcing events in real-time. You can easily measure how well your execution aligns with your strategic objectives and make data-driven decisions to course-correct if needed.

For instance, you can track savings against targets, monitor supplier diversity metrics, or assess the impact of your sourcing decisions on risk profiles—all with the click of a button.

Continuous improvement loop

Perhaps most importantly, SAP Ariba Sourcing helps close the loop in the triple crown strategy. The results and insights gathered from sourcing events can feed back into SAP Spend Control Tower, providing fresh data for analysis and informing future strategy development in SAP Ariba Category Management.

This can create a virtuous cycle of continuous improvement, where each iteration of the process becomes more refined and effective.

The human element in action

While SAP Ariba Sourcing can bring powerful technological capabilities to the table, it’s crucial to remember that it’s designed to augment, not replace, human expertise. The solution can empower your sourcing professionals to focus on high-value activities like relationship building, complex negotiations, and strategic decision-making.

For example, while AI might suggest a list of potential suppliers, it’s your sourcing team’s expertise that will determine which suppliers are the best fit for your company’s culture and long-term goals.

Looking ahead: The future of strategic sourcing

As we conclude our exploration of the triple crown of strategic procurement, it’s clear that we’re at the cusp of a new era in procurement. With solutions like SAP Ariba Sourcing, we’re not just improving our execution—we’re reimagining it.

We’re moving from siloed decision-making to collaborative action, from gut-feel negotiations to data-driven engagements, from reactive purchasing to proactive value creation. We’re creating a future where procurement is a true strategic partner, driving innovation, sustainability, and competitive advantage for the entire organization.

The triple crown of strategic procurement—insights, planning, and action—represents a holistic approach to procurement excellence. By leveraging SAP Spend Control Tower for insights, SAP Ariba Category Management for planning, and SAP Ariba Sourcing for action, organizations can create a powerful, continuous cycle of improvement.

As we face an increasingly complex and volatile business environment, this approach provides the agility, intelligence, and precision needed to not just survive, but thrive. The race is on, and with the right tools and strategies you can be poised to win the triple crown of strategic procurement.

Are you ready to take action and transform your procurement function? The finish line awaits, and with SAP Ariba Sourcing, you’re equipped to cross it in style.

To learn more, check out this infographic outlining how to win the triple crown of procurement.


Sudy Bharadwaj is global vice president of Strategic Engagements for SAP Finance and Spend.
Cindy McKendry is director of Corporate Communications for Finance, Spend, and Supply Chain at SAP.

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Solving Problems Together: BMW Collaborates to Win as a Team

BMW is only as good as its smallest partner in the supply chain, according to Samara Madjid, BMW Group’s sustainable supply chain management expert.

“We have an overload of data internally at BMW, but also externally with our suppliers worldwide,” Madjid said. “We face the same problems; with one approach, we can solve the biggest problems together.”

Trust is crucial to transparency and traceability in the supply chain, according to Madjid. For more information, click here to read the article: https://sap.to/60550eLBl

___________

0:00 — “Solve It Together”
0:17 — About BMW Group
0:38 — One Approach Solves Everyone’s Problems
0:46 — Collaborating within Catena-X
1:01 — Lessons Learned
1:19 — Trust, Transparency & Traceability

Improved Data Quality Enables AI and People Analytics at Edgewell

Strategic decision-making practices in HR rely on accurate and accessible people data for talent acquisition, performance management, employee engagement, compliance, and more. Plus, having a “clean” data foundation is an imperative to take advantage of AI-driven tools. To set itself up for future success and better service and manage its over 7,000 employees around the world, U.S.-based Edgewell Personal Care embarked an 18-month-long project to improve its HR data quality within its SAP SuccessFactors solutions.

Edgewell’s portfolio of more than 25 well-known personal care brands, including Schick, Banana Boat, Wilkinson Sword, and Wet Ones, drove $2.25 billion in net sales in 2024. The company relies on a people-first culture that enables the right environment for employees to be efficient and the company at large to “win the shelf,” as Colin Emery, director of Global HR Systems at Edgewell, puts it. 

In 2022, Emery was tasked with establishing a People Analytics function at Edgewell, but he quickly realized that the underlying data he needed was inaccurate. “Our system of record was no longer the system of record. We didn’t actually have one,” Emery explains. At that time, the company’s HR data accuracy was just 37% for key data fields within the Position and People Profile. 

Since Edgewell was formed in 2015, Emery says, it has relied on the “infinite configurability” of SAP SuccessFactors solutions to scale, systemize, and standardize the company’s HR systems across the world. While the solutions were working as designed, the data housed in them wasn’t being maintained properly, causing a backlog of inaccuracies to flow downstream. “It was clear that the quality of our data within SAP SuccessFactors was less than perfect in some parts of the world, particularly in countries where we don’t have SAP SuccessFactors Payroll integrated,” he says.

Use AI to help optimize how employees work, managers manage, and organizations adapt

Knowing that high data quality is crucial for effective decision-making, reporting accuracy, a painless user experience, and future innovation—but not having the budget or time to engage external resources—Emery decided to develop Edgewell’s methodology in-house to tackle the issue.

Upskilling to establish HR data champions

After identifying the priority data fields that needed to be cleaned and maintained to have the most impact on data quality, Emery turned to the people who owned and best understood the data: the HR business partners (HRBPs). To ensure the success of the data quality project, the HRBPs needed to buy in. This required a mindset shift and significant change management, he says, since not all HRBPs felt responsible for maintaining the data in the SAP SuccessFactors solutions and some needed training to understand systemized HR processes. 

To help with the transition, Emery established an HR data steward program to upskill Edgewell’s HRBP community. Designated data stewards receive weekly reports and are tasked with personally resolving the data errors or informing an appropriate colleague. They are trained on the causes and consequences of the inaccuracies and how to remedy them, empowering the data stewards to become experts and educate other HRBPs. Upskilling the HRBPs helped them shift from a reactive to a more proactive mindset, which was a critical factor in the data quality project’s success, Emery says. 

Case in point: the number of data inaccuracies has decreased from 2,700 to just a handful. “It’s a tiny, tiny fraction of what it was,” Emery says. “That’s based on the fact that the HRBPs are getting it right the first time, instead of making errors that need to be fixed.”

The project began in the U.S. and eventually flowed to Europe, LATAM, and APAC. Now, Edgewell’s data accuracy consistently holds at 96%–97%, Emery says.

Quality data drives quality decision-making

The success of its data quality and data steward project is clear, and now Edgewell can reap the rewards of a clean HR data foundation. This has had profound effects on the reliability of the company’s HR reporting, for which Edgewell uses stories in SAP SuccessFactors solutions. “There’s a massive advantage to using stories when we’re using live, in-the-moment SAP SuccessFactors data,” Emery says, adding that the ability to send a link that is accessible based on existing role-based permissions makes sharing the data simple and fast. Edgewell uses stories to look at data around inclusion and belonging, leadership, tenure, talent acquisition, and more, sharing the insights with company leadership, HR leaders, and HRBPs.

This data-driven culture has helped Edgewell identify areas of improvement and make strategic HR decisions. For example, in looking at the data, the People Analytics team uncovered a short-term turnover issue for specific roles and locations. Based on this insight, Edgewell’s HR function created a new candidate experience to help improve and systemize recruiting and onboarding processes. Called “Joyful Journey,” the program also doubles as a way for the company to share about itself and attract talent to the organization. “We never would have known that was the right thing to do without the data,” Emery says. “That then led us to invest time, effort, and dollars in those processes, which immediately made a positive impact on short-term turnover.”

“Over the last three years, we have been providing data and explaining its importance by cleaning up the data within the system to make it more meaningful to us,” Emery adds. “For us, it’s never going to be data for data’s sake. It has to be about what the actions that this data suggests.”

Ready for the future

Not only does Edgewell’s impressive data quality equip its leaders with actionable insights, but it creates a strong foundation for the personal care company to take advantage of HR innovations, especially considering that many, like AI, require clean data to work properly. AI copilots and agents, like Joule, are only as good as the data they run on, which is why data quality and data governance initiatives are becoming business imperatives. 

In that case, Edgewell is ahead of the curve. “When I started working on People Analytics three years ago, I knew that we had to focus on [cleaning up the data] first to prepare for super automation and the AI tools that were coming,” Emery says. “It will set us up in good stead for the next iteration of tools.”

Discover how SAP SuccessFactors solutions enable companies to maintain quality HR data, which is crucial for efficient HR management, future innovations like AI, and overall business success.


Gillian Hixson is an integrated communications specialist at SAP.

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KPMG and SAP Joule for Consultants: Pioneering the Future of AI-Driven Consulting

In an early access program, KPMG, one of SAP’s largest alliance partners and a customer, is using AI-driven assistance to deliver faster, more impactful results for its clients. 

Today, system integrators are faced with increasingly complex implementations that require faster decision-making, streamlined processes, and optimized resource allocation. To successfully navigate the scale and complexity of these projects, consultants need instant access to expert-level knowledge and best practices across SAP solution landscapes.

Now, new generative AI capabilities from the SAP Joule for Consultants solution can help consultants to work smarter, deliver projects faster, and drive greater impact for clients—and KPMG firms are leading the way in harnessing its potential.

“Clients trust KPMG firms with their most critical digital transformations, and we maintain that trust with a focus on pursuing the fastest, most reliable path to value. KPMG firms are enabling their teams with AI to consistently and swiftly deliver an unmatched combination of advanced technology, functional and industry insights, and proven practices from across our global network to clients.”

Carl Carande, Global Head of Advisory, KPMG International

As the largest participant using SAP Joule for Consultants as part of the current early access program, KPMG is empowering its consultants to scale complex IT and transformation projects for clients globally with generative AI and deep industry expertise.

KPMG takes consulting to the next level with generative AI

Introducing generative AI capabilities can change the game, and KPMG is transforming its SAP consulting approach by embedding SAP Joule for Consultants into its methodology. This integration can accelerate project execution, helping to deliver faster and more impactful results for clients.

“KPMG and SAP are deeply aligned in our commitment to helping clients derive true business value from transformation. SAP Joule for Consultants is already demonstrating its potential to enhance how our SAP consulting teams operate. By leveraging the latest AI capabilities from SAP, combined with KPMG professionals’ industry expertise, our consultants are equipped with the most current SAP knowledge and tools to help clients solve their most pressing business needs quickly and with confidence.”

Hendrik Thörner, Global Lead Partner for SAP, KPMG International

Make consultants more efficient on SAP projects with AI assistance

Through customized, white-glove support, KPMG professionals help clients realize their unique business needs while also ensuring efficiency in implementing SAP systems in alignment with the latest best practices to optimize global service delivery models.

The business-led, tech-enabled approach by KPMG firms is grounded in its unique, strategic Trusted AI framework. This approach facilitates rapid and ethical design as well as the development and delivery of AI strategies and solutions.

With knowledge retrieval, consultants gain instant access to SAP’s most trusted resources, enhancing discovery and upskilling. Consultants no longer spend hours sifting through documentation, reaching out to colleagues, or navigating an internal database because Joule can deliver concise answers, explain custom code, and provide expert-level guidance.

In fact, SAP has found that consultants can save up to 1.5 hours per day with reliable AI assistance grounded uniquely in the most comprehensive and up-to-date SAP knowledge base. With AI assistance, consultants can focus on high-value tasks, which means accelerated project executions and more impactful results for customers. 

“From idea to productive use in less than a year, SAP Joule for Consultants provides our customers and partners with a powerful lever for their cloud transformation. I’m proud to see the capability in action and thank KPMG for pioneering the new era of the profession. SAP Joule for Consultants is a game changer, delivering expert-level insights into exclusive SAP content, giving guided recommendations and instructional support, and providing ABAP code explanations that can help consultants reduce the time spent on interpreting code by up to 40%,” said Dr. Philipp Herzig, CTO & Chief AI Officer at SAP SE.

How SAP Joule for Consultants works

SAP Joule for Consultants combines a generative AI foundation, built on large language models (LLMs) trained on SAP’s structured knowledge to help ensure accuracy, relevance, and contextual understanding, and Joule, an intuitive conversational AI copilot experience. Joule can deliver fast, expert-level answers from SAP’s exclusive content, guided recommendations and instructional support, and ABAP code explanations that can enable consultants to spend 40% less time interpreting code.

How to get started

SAP partners and consulting firms can explore SAP Joule for Consultants by reaching out to their SAP representative or visiting here.

To learn more about how KPMG and SAP can help you transform your business with confidence, visit kpmg.com/sap


Kai Muehlbauer is head of AI Product & Partner Management at SAP.

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Energy Supplier badenova Transforms Work Order Coordination with SAP Fiori Makers Boot Camp

In September 2024, SAP customer and German energy supplier badenova embarked on a transformative journey to streamline its work order coordination processes. To better manage the persistent operational challenges around customer requests, its subsidiary badenovaNETZE joined the SAP Fiori Makers program for an intensive, hands-on boot camp in Freiburg, Germany.

The boot camp focused on addressing and analyzing the real challenges faced by the company’s work order coordinators to optimize their daily work experience and routines.

The challenge: A fragmented, manual process

Before the boot camp, badenovaNETZE’s work order coordination was a fragmented mix of tools and processes. Coordinators were juggling SAP software, custom programs from SmartService Solutions, and basic applications like Word and Excel to complete their tasks. The status quo resulted in a couple of challenges to address and optimize:

  • Improve user experience: The existing interface was difficult to navigate, leading to user frustration and reduced productivity.
  • Avoid manual processes: Coordinators had to both transfer information across multiple systems and update data manually, making routine tasks time-consuming and prone to errors.
  • Reduce error rate: The repetitive, manual tasks increased the risk of data entry errors, causing delays and additional workload.
  • Increase transparency: With limited visibility into work order statuses, coordinators spent a lot of time tracking down information and monitoring progress.

The solution: A hands-on transformation

The company participated in a four-day SAP Fiori Makers boot camp, bringing together customer end users, IT teams, and partners. The focus of the boot camp was to improve the usability of the work order cockpit by transitioning from manual tasks and workarounds to an SAP app prototype as a tangible starting point. It aimed at implementing process automation, incorporating dashboards, enhancing the user experience, and reducing error rates.

The boot camp provided badenovaNETZE with the tools and an open, agile workshop format needed to tackle these challenges. Based on this close collaboration with the company’s coordinators, the SAP team developed customized solutions that streamlined processes and the final outcome. “The beauty of our boot camps is that we get to know and truly understand the challenges of our end users,” SAP UX Designer Christina Salwitzek summarizes. “Together with the end user and from the beginning, we designed and developed a more efficient solution for this complex workflow.”

The objectives

badenovaNETZE faces operational challenges when managing numerous customer requests in metering, including meter replacement, installation, and removal. Together, the teams set ambitious yet achievable objectives to ensure long-term success. Operational readiness by 2025 was the top priority, with a clear goal of transitioning to an optimized, future-proof system in the first half of the new year.

To support this transition, the boot camp helped increase SAP technology knowledge and development skills within the badenovaNETZE team. The team is now prepared to maintain, adapt, and expand the new solution as their needs evolve. “What surprised me the most is that we actually made such good progress together and that everybody was able to contribute something,” says Paulina Deren, order coordination advisor at badenovaNETZE.

Finally, the team established a prioritized road map—a clear, phased approach designed to guide the customer through each stage of the transformation, enabling a smooth journey from concept to realization. The SAP Fiori Makers team included three UX designers, an SAP Fiori elements front-end developer who brought the visual designs to life, and a backend developer specializing in the SAP Cloud Application Programming Model framework to help ensure robust, scalable functionality. The team was guided by Andreas Spahn, principal technology & innovation manager from the SAP Services team, who moderated the boot camp and facilitated collaboration. “What makes SAP Fiori Makers so special is that we have one problem statement and we have one team to analyze today’s problem with the end user and solve it,” he says. “This involves experts from technology, design, and development.”

The SAP design system is ready to usher in the next evolution of enterprise software

The experience

A core element was the creation of a user-centric and future-focused design for a new work order cockpit. The team used design thinking techniques in combination with the capabilities of SAP Fiori, SAP Fiori elements, and SAP Business Technology Platform (SAP BTP) to get started. Being one of Germany’s largest regional suppliers of electricity, natural gas, heat energy, and water, badenova already used SAP BTP for integration scenarios and started using it for application development with this project.

For its intuitive, streamlined interface, the team conducted a thorough feasibility assessment to validate the proposed solution’s technical and operational viability. They then rapidly co-created and prototyped solutions in close collaboration with actual users.

The derived prototype not only simplified complex workflows but also significantly reduced manual tasks, minimized errors, and eliminated data silos. By centralizing all relevant information into a unified system, the team delivered a seamless user experience, initiating the groundwork necessary for full deployment.

The result garnered positive feedback from participants, reflecting the practicality and innovation of the solution. “Most impressive to me was the headway made,” Daniel Oberle, business architect at badenovaNETZE, says. “Without the SAP Fiori Makers boot camp, we would be looking at another half a year to get to where we are just now.”

Real user feedback

To ensure the solution truly resonated with its users, the team conducted three on-site, moderated usability tests using a Figma prototype. Each session included two notetakers capturing live feedback directly within Figma, allowing for immediate insights and adjustments. The initial user stories were visualized using SAP’s Scenes storytelling tool, which enabled the team to quickly create collaborative, visual narratives without the need for drawing skills. These early concepts were then refined with SAP Fiori design stencils in Figma, streamlining the transition from rough ideas to polished prototypes.

The involvement of SAP users during the boot camp was instrumental, providing real-time evaluation through cognitive walkthroughs. “If the user experience fits, employees are happy and enjoy using the software,” Teresa Mayer, UX designer at SAP, says. This hands-on, iterative process helped ensure the final design aligned closely with user expectations and needs.

This example underscores the critical role user research plays in driving successful, error-free, and beneficial product development. To strengthen its user feedback approach even further, SAP introduced the SAP User Research Panel program. This initiative invites users to participate in remote research activities, allowing SAP’s product teams to get feedback along the product life cycle. Users can share their product and design experiences to help shape SAP products to better align with their needs while also getting a preview of new features or products.

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New Research Finds That Nearly Half of Executives Trust AI Over Themselves

NEWTOWN SQUARE, Pa. — Generative AI is increasingly influencing decision-making at the highest levels of business. SAP SE (NYSE: SAP) today announced new research that reveals 44 percent of C-suite executives would override a decision they had already planned to make based on AI insights. Another 38 percent would trust AI to make business decisions on their behalf.

The “AI Has a Seat in the C-Suite” survey, conducted by Wakefield Research and sponsored by SAP, polled 300 C-Level executives at companies with at least $1 billion in annual revenue in the United States. Additional findings included:

  • 74 percent of executives place more confidence in AI for advice over their family and friends.
  • 55 percent of executives work at firms where AI-driven insights have replaced or frequently bypass traditional decision-making. This is especially true for companies with $5 billion or more in revenue.
  • 48 percent of executives use generative AI tools daily; 15 percent use AI multiple times per day.
Click to enlarge

“Most executive decisions are based on a combination of the data, how they feel and discussions they’ve had with people they trust,” said Jared Coyle, chief AI officer for SAP North America. “What this data tells us is that AI is part of that trusted inner circle.”

For a majority of the executives surveyed (52 percent), AI is trusted most to analyze data and make recommendations for decision-making. Executives also have confidence in AI to spot risks or issues they hadn’t previously considered (48 percent) and to offer alternate plans (47 percent). They’re also using AI in a multitude of other ways, including: enhancing product development (40 percent); supporting budget planning (40 percent); and performing market research (40 percent).

And the benefits of AI extend beyond the office: 39 percent of executives feel they experience a better work-life balance because of AI; 38 percent report improved mental well-being; and another 31 percent claim to experience reduced stress.

Coyle noted that many businesses still struggle with building a foundation of reliable data critical for this kind of trust because of misalignment between IT and business functions, integration challenges across systems or even concerns with the quality of the data itself.

“The only way to ensure reliable business data for AI is to have one common semantical data layer for your business,” he said.

To that end, Coyle points to the SAP Business Data Cloud solution, the company’s latest fully managed SaaS data management solution that unifies all SAP and third-party data throughout an organization. By connecting data from every part of the business and harmonizing it more easily and quickly than ever before, SAP Business Data Cloud can help customers make more impactful decisions faster and fuel reliable AI.

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SAP Signavio Launches AI-Assisted Process Modeler, Text to Process Capability

AI and SAP Signavio solutions: The evolution to an agile, sustainable, and resilient enterprise requires transformation


As a cornerstone of our Business Transformation Management portfolio, SAP Signavio solutions help empower companies to view transformation not as an isolated project, but as an ongoing capability. With SAP Signavio solutions, companies can constantly analyze, improve, and monitor their processes, therefore establishing continuous loops of value realization.

By harnessing the power of generative AI, the SAP Signavio portfolio is poised to help organizations drive efficiency, enhance the user experience, and reduce barriers to entry for expert disciplines such as process mining and modeling. At the same time, new generative AI and copilot capabilities enable organizations to further accelerate the time to accrue value while working to the best of their potential.

Through this intuitive and user-friendly approach, users across an organization can receive rapid insights and recommendations that can accelerate and inform decisions, with questions asked in natural language serving as a starting point.

Say hi to process AI

Text to process

What if, when building your process models, you didn’t have to start from scratch? On March 3, 2025—following the integration to SAP’s co-pilot Joule; the release of the SAP Signavio solutions, AI-assisted process analyzer capability; the release of text to insights and text to widget features, which are available via a beta program; and the introduction of the SAP Signavio solutions, AI-assisted process recommender and performance indicators recommender—SAP Signavio released the process modeler, text to process capability.

The SAP Signavio solutions, AI-assisted process modeler, text to process capability can quickly transform textual descriptions into Business Process Model Notation (BPMN) diagrams—the standard language of process modeling. In other words, this new capability can simplify and expedite process modeling, helping customers accelerate the initial creation of process diagrams and potentially redefine the way companies document their processes.

Reduced process modeling time

Process modeling for an enterprise can cost hundreds of thousands of dollars annually when factoring in the time it takes to collect inputs, then create or update hundreds of process models.

By leveraging the SAP Signavio solutions, AI-assisted process modeler, text to process capability, the time taken in building models can be reduced significantly, helping to accelerate the initial phase of creation and allow users more time to fine-tune and perfect their models.

Support for non-technical users

By simply describing processes in plain language, non-technical users can also contribute to process modeling and improvement, as the process modeler, text to process capability can then translate these descriptions into technical process models.

This means organizations can quickly tailor and implement processes through text prompting, making process modeling ever more accessible and inclusive.

Enhanced collaboration

The AI-assisted capability can enhance collaboration by simplifying complex process descriptions and turning them into visual models. This helps improve cross-team collaboration by helping ensure a common understanding of what elements constitute a specific process model, reducing uncertainty and potential miscommunication.

The simplification of process descriptions and development of visual models also helps make model editing more flexible and responsive, which in turn helps ensure the continuous improvement of models, supported by the ability to save and refine them in SAP Signavio Process Manager.

AI for the world of process

The process modeler, text to process capability is the latest example of how SAP Business AI in SAP Signavio solutions is designed for the process world, helping everyday business users as well as process modelers and experts contribute to process analysis and improvement simply by using everyday language to interact with SAP Signavio solutions.

To discover how you can drive faster time to value and transform your business more effectively with generative AI as part of the SAP Signavio portfolio, join our on-demand webcast and find out more about the new generation of AI-enabled business transformation management solutions.​


Lucas de Boer is global marketing program lead for SAP Signavio.

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