Agentic AI is everywhere, and it holds the massive potential to transform the way we work, enhance efficiency, and amplify value — all while simplifying our daily tasks.
Agentic AI is transforming the way we work, and SAP Signavio helps you maximize AI agent impact
The autonomy of AI agents in decision-making and innovative problem-solving is what makes this disruptive technology so attractive to companies, yet also one that demands focus and clarity.
Organizations need to understand where it is appropriate to deploy AI agents while ensuring they behave as intended: staying within their operational scope, using only authorized data, and maintaining compliance with the company’s guidelines and regulations.
If in the world of espionage, agents would normally operate in the shadows, in the corporate world, companies need to ensure that AI agents operate in plain sight. Their behavior should be transparent, measurable, and always under control.
As organizations scale their use of agentic AI, the specter of a new challenge emerges: understanding where exactly in their processes agents should be applied, if they are acting the way they are supposed to, and what their impact and cost really are. After all, AI agents are a business resource like any other, and should always be governed by an organization’s leadership, in alignment with that organization’s goals.
This is where agent mining capabilities in SAP Signavio solutions come into play, bringing visibility, accountability, and continuous optimization to the growing ecosystem of AI-driven process transformation.
The problem: invisible autonomy in enterprise AI
AI agents become more autonomous — and sometimes more ambiguous — as they learn and evolve. Their decisions happen in milliseconds, driven by complex reasoning that can appear as an invisible black box to end users.
Without transparency, organizations risk blind automation, which means agents operate efficiently on paper but unpredictably in practice, potentially introducing errors, inefficiencies, or unnecessary costs.
At the same time, agents operating visibly allow organizations to see and learn from the agents’ behavior, potentially revealing new approaches, creative solutions to existing problems, or unexpected positive outcomes.
The solution: AI Agent mining
Agent mining enables organizations to understand and optimize the behavior of AI agents operating across their business processes. Agent mining in SAP Signavio solutions provides the ability to:
Trace agent behavior to see how agents make decisions, navigate process steps, and adapt to different contexts
Analyze impact and measure the agents’ influence on key metrics like process time, accuracy, and compliance
Monitor cost by tracking computational or LLM-related expenses, helping ensure cost-efficient performance
Benchmark performance by comparing outcomes of agent runs to identify areas for refinement
But it’s also more than just a monitoring tool. AI agent mining is an intelligence layer for the AI workforce. By transforming invisible actions into measurable insights, it empowers organizations to:
Increase transparency into agent behavior and decision logic
Control operational costs by understanding and optimizing LLM usage
Ensure compliance through auditable decision trails
Continuously improve performance by learning from live agent execution
Measure true business value of AI automation, not just efficiency metrics
Agent mining from SAP Signavio can extend from Joule Agents built by SAP to third-party or custom-built AI agents, offering a unified lens across an organization’s AI landscape.
A broader vision: AI agent excellence
Unless we’re watching the Mission: Impossible franchise, no one wants to see rogue agents on the loose, which is why agent mining is just one of four pillars under SAP Signavio’s comprehensive approach to AI agent excellence. The pillars that help ensure intelligent agents are not just deployed, but deployed intelligently, include:
Agent discovery: Identifying the right processes and opportunities where AI agents can drive the greatest impact
Agent context: Providing agents with the right process knowledge and compliance parameters to act responsibly and efficiently
Agent mining: As outlined above, observing and analyzing how agents actually behave in operation
Agent value impact: Quantifying the business value that agents deliver, such as efficiency gains, cost savings, or improved customer experience
Together, these pillars ensure that organizations not only automate processes but continuously learn from and improve their performance. The world is not enough; it’s critical to have both working in sync.
As SAP Signavio General Manager Dr. Gero Decker shared, “AI agents represent a fundamentally new paradigm, and a key question remains: How should we perceive them? Should we view AI agents as advanced technical constructs or as non-human humans? It’s a complex question that organizations must address as they deploy AI agents at scale.”
“At SAP Signavio, we are preparing for the future by focusing on the organizational and process dimensions of agentic AI adoption,” he said. “Our AI agent excellence approach aims to ensure that AI agents are integrated seamlessly, efficiently, and compliantly into the broader enterprise. In this rapidly evolving landscape, no company can afford to stand still. Our vision is to be an engine for innovation and reinvention, helping companies grow and adapt.”
SAP Signavio solutions can empower organizations to ensure their AI agents are not only effective but also transparent and accountable, paving the way for smarter, more strategic automation — in other words, AI agent excellence.
Lucas de Boer is a Global Marketing program lead for SAP Signavio.
Sign up for the SAP News Center newsletter for weekly highlights and news
We’ve made phenomenal progress embedding AI across the suite. By the end of 2025, we will have 400 SAP Business AI use cases delivered in our solutions, including 40 Joule Agents, building on 2,100 Joule Skills. Our existing more than 300 use cases translate into 441 million EUR value add for a company with 10 billion EUR annual revenue.
Advancements in AI agents, data, and platform capabilities equip developers with the tools to drive business transformation
This month at SAP TechEd Berlin, we announced a wave of SAP Business AI innovations all built on the same technology foundation that powers our embedded AI capabilities that we are now delivering to our customers and partners, allowing them to add even more value in the future.
We showed how the future of enterprise software is built on an AI-native architecture, powered by SAP app, data, and AI foundation. With this approach, we are enabling a platform shift across the tech stack in a non-disruptive fashion, empowering developers to work faster and smarter using the frameworks and tools of their choice.
SAP HANA Cloud and SAP Business Data Cloud: powering our AI-native future
SAP HANA Cloud is the database for SAP’s AI-native software architecture and the foundation of our broader data fabric strategy. At SAP TechEd, we announced new AI capabilities for SAP HANA Cloud that spur AI innovation.
For example, Model Context Protocol (MCP) support for SAP HANA Cloud is now generally available. This provides direct access to rich multi-model engines. Agents can be grounded in full enterprise data context: navigating relationships across customers and suppliers, understanding geographic dependencies through spatial data, and performing semantic searches through vector embeddings — all within a single in-memory engine.
We’re also expanding SAP HANA Cloud knowledge graph engine capabilities (Q1 2026) so customers can automatically generate knowledge graphs from SAP HANA Cloud metadata. What used to take weeks of manual modeling can now happen automatically in minutes. But that’s not all. We’re also enabling agentic memory in SAP HANA Cloud. With long-term memory, AI agents can memorize past inputs and decisions — learning and remembering just like humans — and become continuously smarter.
These advances show that SAP HANA Cloud is truly powering an AI-native future. Read more here.
Bringing together the power of SAP BDC and Snowflake
We are bringing the power of Snowflake together with SAP Business Data Cloud (SAP BDC), calling it SAP Snowflake. This partnership enables zero copy data sharing with Snowflake via SAP BDC Connect.
Enterprises already using Snowflake today can leverage SAP BDC Connect to integrate their existing instances of Snowflake with SAP BDC, giving them seamless, real-time access to combined, semantically rich SAP with non-SAP data in SAP BDC. SAP Snowflake will be made generally available in Q1 2026, and SAP BDC Connect for Snowflake in H1 2026. Find more information here.
SAP-RPT-1: a new category of AI models
One of our most exciting announcements at SAP TechEd was the launch of our first enterprise relational foundation model SAP-RPT-1, pronounced: “rapid one.”
Businesses run on structured data. But large language models (LLMs) struggle with a general understanding of table structures and associated semantics. This requires the use of machine learning, or “narrow AI,” for tasks like classification, regression, and more. But classical machine learning necessitates training a model on each task, which easily can lead to hundreds of separate models.
SAP-RPT-1 puts them all into one single, pre-trained model that understands relational business data and predicts business outcomes. Unlike language, image, or video models, SAP-RPT-1 accurately predicts business based on tabular data such as payment delays, supplier risks, upsell opportunities, customer churn risk, and more.
We believe that SAP-RPT-1 is a super capable foundation model today. It provides up to 2x better prediction quality compared to narrow models and 3.5x better prediction quality as compared to LLMs. Dive deeper in this SAP Community blog.
SAP-RPT-1 comes in three versions. SAP-RPT-1-small is for super-fast predictions and SAP-RPT-1-large is for highest accuracy. Both will be generally available in Q4 2025 in the generative AI hub in AI Foundation. SAP-RPT-1-OSS is the open-source version, available in Hugging Face and GitHub.
You can test SAP-RPT-1 today with your data or our use case data samples via no-code UI or via API in the new SAP-RPT-1 playground, an intuitive and interactive space to test for free and open to everyone Access the playground at rpt.cloud.sap and learn more about new models here.
We are continuously adding new capabilities to AI Foundation and models to the generative AI hub, empowering developers to experiment with orchestration tools and leading models to scale AI development and productization across SAP and non-SAP environments. For example, Perplexity is now generally available in the generative AI hub, so users can correlate business data with external data from the internet. Evaluation Services and Prompt Optimizer, in close collaboration with NotDiamond, are now also generally available in AI Foundation, freeing up users to adopt the most appropriate model for their use cases without the need for rewriting prompts. Read more here.
Digital sovereignty made in Germany, for Europe
Digital sovereignty is becoming increasingly important, reflecting the need for regional AI services that align with local regulations, standards, and values. As an example, Europe will benefit from its own strong, trustworthy infrastructure to support innovation, data protection, and ethical AI.
AI Foundation, including various models and all the services we offer, is already available on our own cloud infrastructure. As a next step, we are expanding our SAP Cloud Infrastructure offering in our SAP data center in Walldorf, Germany, to Deutsche Telekom through the Industrial AI Cloud project, providing secure, high-performance infrastructure for AI innovations across public institutions, defense, and society. SAP delivers SAP Cloud Infrastructure, SAP Business Technology Platform, and applications — including our AI Foundation with frontier AI from Mistral, Cohere, and others — on Telekom’s Munich data center. Both companies uphold the highest standards of data protection, security, and reliability.
This marks a milestone as more European companies join the Industrial AI Cloud project, advancing applied AI across Europe with trusted, business-embedded solutions that unlock the full potential of industry data. See the announcement here.
Enabling customers to build, extend, share, and orchestrate AI agents
To help manage Joule Agents and Joule skills, we have introduced the concept of AI Assistants — role-based AI teammates, accessed through Joule — like a financial assistant that brings together agents for cash collection, treasury, and more. We will provide AI Assistants in Joule for every core business role, offering our users an agentic experience like never before.
Out-of-the-box Joule Agents are powerful, but we know that every company has unique requirements. We believe AI should adapt to users’ systems, not the other way around, so we are enabling them to use Joule Studio to extend SAP’s pre-built agents with custom fields, tools, and reasoning logic while retaining all the deeply grounded integration capabilities SAP provides. Joule Studio also provides low-code tools to build custom agents that integrate with all other Joule Agents, Joule skills, and SAP BDC.
Using a low-code approach, users can build Joule Agents visually with natural language and drag-and-drop. But we also want to meet the needs of developers who want ultimate flexibility. Our pro-code approach gives developers the freedom to build agents using the agentic framework of their choice — for example, LangGraph, CrewAI, Google’s Agent Development Kit, and more. SAP Cloud SDK for AI now supports agentic development, ensuring these pro-code agents can be seamlessly integrated and giving developers the best of both worlds: deep integration and full flexibility.
No matter how you want to build agents, an important question is how to integrate them into the larger ecosystem beyond SAP. We’re making Joule Agents fully compatible with the agent-to-agent (A2A) protocol soon, so agents can discover and collaborate with each other.
A2A exposes rich semantics describing an agent’s capabilities, allowing both SAP and third-party agents to work together seamlessly. We are collaborating with partners — AWS, Google, Microsoft, ServiceNow, and more — to standardize this protocol for full interoperability. This capability will allow Joule to orchestrate tasks across multiple agents, both SAP and non-SAP, increasing automation and productivity across the enterprise. Read more here.
To manage and govern agents across the enterprise, SAP LeanIX agent hub is now generally available, providing centralized control of SAP and non-SAP agents. In addition, agent mining with SAP Signavio is available now for tracing agent actions, benchmarking against KPIs, and identifying bottlenecks or opportunities for agents to further improve business.
No SAP TechEd without ABAP news
The ABAP journey continues with SAP-ABAP-1, which will be available in the generative AI hub in Q4 2025. Trained on ABAP code, it is designed to build ABAP AI use cases, enabling developers to build smarter, custom AI solutions in modern ABAP code. Dive into the ABAP news in this SAP Community blog.
In addition, ABAP Cloud development is coming to Visual Studio (VS) Code. The new ABAP Cloud extension for VS Code delivers a streamlined, file-based development experience with built-in AI assistance. Powered by an ABAP language server, it will initially support SAP Fiori UI service development and expand to additional ABAP Cloud scenarios over time. This brings ABAP development into the same environment where developers already build with UI5 and CAP. General availability is planned for Q2 2026. Read more in this SAP Community blog.
What’s next: embodied AI and quantum
SAP TechEd is always an opportunity to look to the future. This year, that future includes not just humans, but also autonomous devices, including humanoid robots.
By integrating Joule Agents natively with robots, SAP is bringing business logic into the physical world, enabling a wide range of autonomous devices to operate with enterprise context. We highlighted our strategic partnerships with robotics companies and system integrators to serve customers like Sartorius, Bitzer, and Matur Fompak, demonstrating how our expanding physical AI ecosystem enables robots to understand business processes and execute complex tasks autonomously.
Early proof-of-concept deployments show Joule successfully integrated with SAP business applications and autonomous systems across asset performance, logistics, field services, and warehouse operations. While still in the pioneering stage, these implementations illustrate how SAP is extending Joule to serve both human users and autonomous devices, shaping the future of enterprise AI.
AI is a new compute paradigm that changes everything. But there is another compute paradigm on the horizon: quantum computing. It’s early days, but SAP is driving the future of enterprise computing with a vision to help businesses get ready for quantum computing.
SAP is not building quantum hardware; instead, we are focusing on creating quantum algorithms for business applications. These solutions are simple to deploy — on when needed, off when not — and are designed to be hardware-agnostic, collaborating with partners such as IBM to ensure seamless integration without re-platforming. This approach will enable organizations to unlock operational efficiency and drive better business results at enterprise scale.
I couldn’t be more excited about what’s next for our customers’ future as we bring SAP’s AI-native architecture to life.
Philipp Herzig is CTO of SAP.
SAP TechEd: Read news, stories, and coverage from the event
In 2025, the consumer packaged goods (CPG) sector finds itself in a sticky situation. Companies across the category are facing mounting pressures on both the front and back ends of their operations — from rising costs and shifting trade policy to evolving consumer expectations and eroding brand loyalty.
Exceed diverse consumer expectations to grow sustainably and profitably in an uncertain world
Few industries feel this dual pressure more than American candy makers, particularly during this year’s Halloween season — their single most important sales moment of the year.
Unfortunately, this year the spookiest season proved to be a particularly tricky one. According to FinanceBuzz, candy prices rose by 17% from 2024 to 2025. Price increases pose a threat to legacy brands, as 26% of American consumers say they can no longer afford brand loyalty, according to the 2025 SAP Emarsys Customer Loyalty Index.
For confectionery manufacturers that have long relied on emotional connection and nostalgia to sustain sales, this Halloween season created pressures on the front- and back-end, leading to what’s effectively called the “CPG squeeze.”
Yet, there’s still room for optimism. The bottom line is that consumer demand hasn’t disappeared; it’s simply evolving. While this Halloween season presented a scare, candy makers can prepare for upcoming moments like the holiday season and Valentine’s Day by integrating financial, commercial, and supply chain planning as well as by connecting sourcing, production, logistics, marketing, and retail.
Supplier side reality
Behind the fun-size bars and Halloween packaging, U.S. candy makers grappled with operational headwinds this year. Volatile trade policy made ingredient and packaging costs unpredictable, while global disruptions reverberated through supply chains.
In anticipation, manufacturers stockpiled inventory and restructured supplier networks, tying up working capital and putting additional stress on already thin margins. The loss of supplier stability has also become a defining feature of today’s CPG landscape: 70% of companies report switching suppliers primarily due to cost considerations, and fewer than one in four (22%) have maintained supplier relationships longer than five years, according to data from SAP Emarsys.
For candy makers dependent on commodities like sugar, cocoa, and dairy, these disruptions hit particularly hard. Add that to the growing costs of packaging, transportation, and marketing, and even iconic brands found themselves squeezed from all sides.
Cautious consumers and the erosion of loyalty
On the consumer front, the loyalty that once defined relationships with classic candy brands began to show signs of strain. That’s bad news for staple brands that have long relied on customers who instinctively reach for the same branded candy every Halloween.
At the same time, social media has amplified product discovery. Trends can shift overnight, and a viral post about a new flavor or an unexpected candy collaboration can sway younger buyers instantly. For established brands, loyalty must now be earned continuously.
Halloween was one example of this shift, but we’re going to see families purchase fewer products or mix traditional favorites with lower-priced alternatives in the future as Americans continue to tighten their budgets. Meanwhile, retailers will face uncertain demand and fluctuating supplier costs, leading to a greater risk of stockouts. These trends highlight why CPG companies need smarter, more connected planning to stay ahead of shifting consumer behavior.
Stopping the squeeze with end-to-end connected planning
The effect of the CPG squeeze during this Halloween season offers candy makers valuable lessons before future moments of peak demand. Companies that continue to operate with fragmented data risk missing critical insights, whether it’s an emerging cost spike, a change in trade policy or a social trend that could make or break sales.
That’s why CPG companies must embrace end-to-end business planning, a holistic approach that aims to enable agility, transparency and collaboration across every stage of the value chain, through the following methods:
1. Integrated supply and demand planning
Using AI-driven analytics and real-time data, companies can more accurately balance supply and demand, ensuring they produce the right amount of product at the right time. For candy makers, that means having adjusted holiday production runs in response to early season buying trends or ingredient cost shifts.
This model helps connect supplier, logistics, and retail data streams, allowing teams to react instantly to cost spikes or sales slowdowns — helping CPGs improve forecast accuracy for tomorrow’s disruptions today.
2. Collaborative commercial and promotions planning
Integrating sales, marketing and trade promotion data with supply and finance planning helps maximize promotional ROI. Deloitte reports that 68% of CPG companies are simplifying or otherwise improving their organizational structure to improve coordination between teams, leading to fewer out-of-stocks and stronger seasonal performance.
To make these efforts more effective, companies must turn to revenue growth management as a strategic link between planning and execution. By connecting ROI, volume, and profit and loss data, SAP Revenue Growth Management ensures promotions are timed and tailored to shopper needs. This approach supports customer retention, attracts new buyers, and helps maintain healthy margins.
The coordination of holiday campaigns, shelf placements, and promotional pricing with a unified view of inventory and demand is crucial. Rather than running separate marketing and logistics calendars, teams must collaborate around a single version of truth, ensuring the product featured in a viral ad is available on shelves.
3. Financial planning and scenario modeling
End-to-end planning also allows companies to simulate “what-if” scenarios by modeling policy changes, supply shortages, or demand surges to test resilience. For example, a candy maker facing a 10% increase in imported cocoa costs can immediately assess how to reallocate budgets through promotional adjustments, sourcing alternatives, or margin management.
With real-time connectivity across teams, financial forecasts can automatically update as assumptions shift, empowering decision-makers to pivot fast.
Turning pressure into opportunity
The “CPG squeeze” wasn’t just a momentary market condition; it’s a structural shift that will reshape how candy makers and other CPG brands operate for years to come.
Halloween this year delivered more tricks than treats for American candy makers. Rising costs, shifting loyalties and supply challenges exposed the fragility of traditional planning models. To weather the holidays ahead, all CPGs must embrace integrated planning models that connect every part of the value chain.
With greater visibility and agility to anticipate change and respond to consumer demand, CPG brands can make every holiday a little sweeter.
Jon Dano is an industry executive advisor for Consumer Products at SAP.
Subscribe to the SAP News Center newsletter to get stories and highlights delivered straight to your inbox each week
With the help of SAP AppHaus Network partner Flexso, Belgian steel wire producer Bekaert created a new AI Master Data Assistant with SAP AI Core in SAP Business Technology Platform (SAP BTP), and SAP SuccessFactors solutions.
Bekaert aspires to become a people- and data-driven company. This requires a thorough strategic and cultural transformation, in which artificial intelligence plays a crucial role. To get started, the company set priorities, leveraging the embedded AI capabilities already available in its existing HR solutions such as SAP SuccessFactors solutions. By focusing on a few embedded AI use cases and creating a stand-alone AI tool on top of that, it started exploring and seeing the AI benefits.
“AI is a means to achieve our goals, a logical extension of our HR strategy,” says Jorn Waterschoot, global head of HR Technology at Bekaert. “AI’s growing capabilities, cost-effectiveness, and versatility are transforming businesses by enhancing user experiences, enabling experimentation, and encouraging adoption. At Bekaert, these strengths are leveraged in HR while carefully managing hidden costs and focusing on end-to-end implementation to maximize AI’s potential. At Bekaert, the goal is to make AI feel like a candy store: once employees experience its versatility, they are encouraged to explore it further.”
Together with its long-standing partner and SAP AppHaus Network member Flexso, Bekaert worked along a human-centered approach to innovation to identify opportunities and use cases. One of these identified use cases was a stand-alone AI tool that Bekaert used for HR data improvement. This tool was not integrated in the existing software landscape and required of users to extract and import data.
To improve this laborious process, Flexso helped design and build a custom AI solution, called AI Master Data Assistant, with the help of SAP AI Core in SAP Business Technology Platform. This new solution has been fully integrated with SAP SuccessFactors solutions, using SAP Integration Suite. Currently, the solution uses a specific AI model from generative AI hub in SAP AI Core. However, the flexibility with various models offered through the generative AI hub capability would allow the partner to use another AI model for this solution in the future.
Who benefits from AI in HR at Bekaert?
The AI Master Data Assistant allows the Bekaert HR teams to enhance data quality by automatically identifying, correcting, and preventing errors in employee records. The assistant can detect inconsistencies, duplicates, and missing information, ensuring that all data is accurate, complete, and up-to-date. In practice, it means that users can enter natural language prompts to get proposals for improvement. Via chat-like conversations, they can standardize formats, correct errors, and validate entries in real time.
For innovation projects, Bekaert usually rolls out new solutions gradually first through a number of role-specific use cases, then deploy them indiscriminately across the organization. For the new AI Master Data Assistant, the HR business partners and HR admin roles benefitted first.
Flexibility for the future
As part of the global SAP AppHaus Network, Flexso always strives for a human-centered and sustainable co-innovation approach with its customers. It is about bringing innovation into the hands of people. David Pierre, AI practice lead at Flexso explains: “The AI world is developing so fast. So, the principle in our solution is that we are AI model agnostic. Today, we are using model GPT to support our use case. But if we have a better model in the future, then we can also switch to other models as they are all supported by SAP BTP.”
Imke Vierjahn is SAP AppHaus communications lead.
Get the latest SAP news delivered to your inbox once a week
A rockstar, a CEO, and a teenager walk into a room. It’s not the start of a joke, but the essence of a decade-long partnership between SAP and We Are Family Foundation (WAFF). Together, they’ve built a model that shows how young leaders can move from token voices to strategy shapers, from climate action to AI regulation. And the results offer practical lessons for every company looking to future-proof their business.
The challenges facing businesses today demand fresh ideas, digital fluency, and bold thinking. These are the qualities youth leaders bring in spades. For more than 20 years, WAFF, co-founded by music legend Nile Rodgers and his lifelong partner Nancy Hunt, has mentored young leaders from more than 100 countries. Over the past decade, WAFF and SAP have partnered to deepen that global impact, moving youth voices from symbolic gestures to central drivers of innovation.
From roundtables where teenagers challenge senior executives, to shaping initiatives at the UN Climate Change Conferences and the World Economic Forum annual meeting in Davos, WAFF and SAP have developed a blueprint for embedding youth-led ideas into corporate strategy, supply chains, and culture while delivering measurable business and societal impact.
Here are five lessons from the collaboration on how intergenerational partnerships unlock value for both business and society.
1. Problems that span generations require leadership that does too
Traditional business models silo generations: executives design the strategy, then hand it down for others to execute. In today’s world, that handoff wastes momentum and risks irrelevance.
WAFF’s 2024 global study, Collaborating Across Generations, found that when senior leaders and young changemakers co-create from the start, ideas are stress-tested in real time. This results in strategies that are bolder, more resilient, and more adaptable to fast-moving challenges.
In short, instead of passing the baton on the final leg, build your strategies together from the starting line.
2. Intergenerational collaboration is a smart strategy
Youth leaders aren’t just “future leaders.” They already bring expertise that legacy teams lack. Digital natives understand platforms, trends, and user behavior instinctively. They also bring the urgency of living through the climate crisis and global inequality.
Take WAFF Youth Leader Arunima Sen, who uses AI to track plastic debris and apply data-driven models to malnutrition. Her work bridges grassroots innovation with scalable solutions, which is exactly the kind of thinking that can de-risk corporate strategies and ensure relevance from day one.
SAP is powering equitable access to economic opportunity, education and employment, and the circular economy
For companies, including youth voices isn’t an act of goodwill; it’s strategic de-risking.
3. Where business, policy, and community align, impact follows
Global challenges cannot be solved in silos. The biggest breakthroughs happen when companies, policymakers, and social entrepreneurs collaborate.
One example is Mozamel Aman, a young Afghan impact entrepreneur and immigrant in Germany, who built StartSteps to create inclusive employment pathways. In 2023, he began a partnership with SAP Germany connecting women to the opportunity for tech jobs in the SAP ecosystem, blending corporate support with government stipends. His organization leverages government stipends from the Bundesagentur für Arbeit (Federal Employment Agency) to train unemployed individuals and connect them with job opportunities.
Germany’s technical talent gap is nearly the same size as its unemployed refugee population. Partnerships like this solve social challenges while closing critical business gaps in talent and innovation.
4. Purpose, profit, and the power of inclusion
Authentic inclusion of young experts, especially Gen-Zs, builds credibility, trust, and stronger business performance.
Employees notice:
Engagement:Only 31% of U.S. employees were engaged in 2024, the lowest level in a decade.
Retention risk: Employees who feel aligned with their company’s mission and values are much more likely to stay, while misalignment drives turnover.
Business impact: Highly engaged employees drive up to 21% higher profitability.
WAFF’s global study findings underscore these statistics, indicating that young people see inclusivity and accountability as non-negotiable factors. By authentically including youth, organizations set a standard of purpose that fuels stronger engagement, deeper loyalty, and, ultimately, higher profitability.
5. Strategic procurement for social good
The most powerful financial corporate tool for change isn’t in giving, but perhaps in spending.
SAP Business Network facilitates US$6.1 trillion in annual commerce. Compare that to an average corporate social responsibility (CSR) budget of $12 million among FTSE 100 companies, and the potential is clear: redirecting even a fraction of procurement spend toward youth-led, sustainable enterprises can transform impact at scale.
Watson Institute, with leadership from former WAFF alumni, James Okina, has recently published a new research report on the opportunity for young social entrepreneurs in impact-led procurement. The report found that young, impact-driven entrepreneurs who succeed in selling to corporations report an average revenue increase of $170,187.50, while those who fail to secure deals lose between $7,000 and $300,000 in potential revenue. Okina offers that he “doesn’t understand why youth involvement in business is still so controversial.” SAP and WAFF agree. By integrating expert impact entrepreneurs who happen to be young into procurement pipelines, for example, companies embrace innovation and align with corporate goals and values while maintaining quality, price, and performance. It is a smarter, systemic approach than writing philanthropic checks.
A blueprint for the next decade
Over the past decade, SAP and WAFF have shown that partnering with young impact leaders creates a true competitive edge.
Companies that co-create with the next generation design strategies that are bolder, more relevant, and more sustainable. They build workforces that are engaged, trusted, and innovative. They align business goals with societal needs in ways that deliver measurable results—and, across generations, they operate on longer runways to implement lasting solutions.
Businesses that win in the next decade won’t just listen to youth; they will build with them. And that’s smart business.
Jennifer Beason is global director of Corporate Social Responsibility at SAP. Annie Greene and Jamie Roach are global program leads at We Are Family Foundation.
Connect with us on LinkedIn to stay up-to-date with all things SAP
As a major European player in a dynamic global industry, SAP is committed to open competition and believes that its policies and actions are fully in line with competition rules.
These longstanding policies reflect standard practice across the enterprise software industry. In our proposed remedies, we are clarifying how they work as part of our broader commitment to transparency and customer choice. The European Commission’s concerns specific aspects of our on-premise maintenance and support policies; it does not relate to or affect our cloud offerings.
We are adhering to the procedure and timeline established by the European Commission, and trust they will bring this proceeding to a quick and fair close.
We do not anticipate the proceeding will result in material impacts on our financial performance. To maintain the integrity of this process, we will not provide additional comments until a final decision has been made.
Every business runs on data, but while companies invest heavily in understanding their customers and their markets, many struggle to access and act on their most valuable data of all: their people data. Without a clear, connected view of their workforce, leaders face difficulty answering fundamental questions, such as do we have the right skills to deliver on our strategy? Where are we at risk of turnover? Do we have the right people in the right roles to optimize production and meet customer demand?
The impact of getting people analytics right is undeniable. According to research from IDC, organizations that prioritize insights models and performance processes rooted in people data are more likely to see meaningful gains across the board: 98% continuously realize stronger employee satisfaction, 90% experience a boost in workforce performance toward strategic goals, and 87% see improved employee retention.
Yet for many organizations, the challenge isn’t recognizing the value of people data—it’s unlocking it. Data lives in silos, systems don’t connect, and insights that could drive strategy often stay buried in spreadsheets or dashboards. And let’s face it—the power of AI rests on data. Without harmonized data in one place, organizations can’t fully tap into AI’s potential to deliver proactive insights, predictive intelligence, and personalized recommendations that drive better business decisions.
Take a data-driven approach to HR and talent management
That’s why SAP announced the People Intelligence package in SAP Business Data Cloud, now generally available, earlier this year. Built on SAP BDC, People Intelligence is an AI-driven application that can bring together people, skills, and business data—from SAP SuccessFactors solutions and beyond—into actionable insights that help leaders make more informed people and business decisions.
At Success Connect at SAP Connect earlier this month, we announced new prebuilt insights in People Intelligence for recruiting, learning, succession, career development planning, and performance and goals management—helping to make it even easier for organizations to translate workforce data into measurable impact.
Turning data into decisions
People Intelligence combines unified data from across the enterprise with AI-driven predictions to help forecast workforce needs, anticipate labor costs and risks, and strengthen workforce planning. And with Joule, SAP’s AI copilot, HR teams can instantly get contextual, actionable answers to critical business questions such as:
What’s the total count of our workforce?
Are employees being compensated equitably across similar roles and demographics?
What are the key skills gaps within my workforce, and what teams are most affected?
What’s the most effective way to acquire high-demand skills?
Too often, workforce data exists in isolation from finance, supply chain, and operational metrics, which makes it nearly impossible to see how people decisions impact business results. People Intelligence can change that. By linking workforce insights to core business data in SAP Business Data Cloud, leaders can understand how talent strategies affect productivity, compliance, profitability, and agility, and they can act in real time.
Building a future-ready workforce
The future of work will be defined by rapid change: accelerating AI adoption, shifting skills requirements, and evolving employee expectations. Organizations that are hamstrung by siloed data or manual analysis will always be a step behind.
People Intelligence helps provide the foundation and insights to move forward with confidence. By harnessing people data with the same rigor as financial or customer data, organizations gain clarity on how skills, roles, and costs are evolving—and the foresight to stay ahead of what’s next.
SAP’s new People & Culture Lounge (P&C Lounge) concept provides all SAP employees access to one-on-one conversations with HR experts. The P&C Lounge complements SAP’s existing digital HR service channels and will be available to all 110,000 SAP employees worldwide by the end of 2025.
With artificial intelligence and digital technologies massively transforming today’s workplace, a crucial question comes to the fore: how can companies maintain focus on the human aspect? Personal contact is indispensable, particularly when it comes to support on people matters. That’s why SAP is deliberately pursuing a balanced approach to providing HR support to its employees: modern technologies and AI provide efficient and smart solutions, but personal consulting remains essential to offering employees worldwide the best possible support.
“The world of work around us is changing at breathtaking speed,” says Dr. Christian Schmeichel, global head of People & Culture Services at SAP. “Currently, we have four generations in our workforce, and naturally this changes the requirements and expectations for HR. The P&C Lounge is designed to address complex questions and issues raised by employees that are better resolved through personal conversations than through the HR ticketing system.”
Comprehensive HR support approach based on multi-tier model
SAP pursues a differentiated approach to employee support, which Schmeichel describes as a “multi-tier model.” Employees can find general HR information comprehensively covered on SAP’s internal portal, while standard requests—such as vacation requests, payroll statements, or certificates—are efficiently handled through self-services and the company’s Shared Service Center. The new P&C Lounge complements these offerings as a new service channel that provides the option for individual conversations when needed. This strategically brings the human factor back to the foreground: “From my perspective, this more personalized consulting approach for complex issues on a company-wide basis was missing. This is the blank spot that we are now strategically filling in our HR service portfolio,” Schmeichel says.
When your people operate at their best, so does your business
Previously, personal HR consulting was primarily available to managers through business partners or advisors. With the P&C Lounge, all employees now have access to individual consulting for more complex questions, from personal team issues to challenging payroll questions to career development.
The process is straightforward: employees can schedule appointments through a booking tool and are matched with the expert most appropriate for their query. The system displays which HR specialist will conduct the meeting and in which languages they provide consultation. “Whenever possible, the conversation takes place in the local language; otherwise in English,” Schmeichel explains. For payroll questions, a payroll expert is automatically assigned; for career topics, a corresponding specialist. Intelligent matching will occur with AI support.
“The HR employees who serve as experts in the P&C Lounge have been thoroughly familiarized with the new approach beforehand,” Schmeichel says. Personal affinity is also important: employees must have genuine interest in this type of work and are specifically prepared for the expected topics.
Optimization in HR through AI
Surprisingly, it was the increasing use of AI that paved the way for this new format. “This works because we have developed a very smart resource allocation concept, combined with modern technology that ensures the right expert is selected for each topic,” Schmeichel explains.
However, AI will do more than just help find the right expertise for each inquiry; it increasingly supports routine tasks in HR, creating more time to invest in personal care and dialogue. The use of Joule, SAP’s AI copilot, provides employees with a central point of contact and helps enable significantly faster and more intuitive navigation through the diverse digital HR services, relieving the burden on both employees and HR teams in daily operations.
Precisely because technologies like Joule increasingly resolve standard inquiries efficiently, personal conversation in complex situations gains additional importance. Schmeichel also emphasizes this development: “In the past, there were already pilot projects designed to enable this direct contact with the HR department. But only now do we have the technical capabilities for smart resource allocation and the corresponding capacity through the strategic further development of our HR business model.”
People centricity as integral pillar of our people agenda
The rollout of the P&C Lounge began in late 2024 with pilot projects in Italy and Japan. “We deliberately chose two culturally very different countries to see how the offering would be adapted in each,” Schmeichel explains. “While in Italy practically all appointments were booked immediately, Japan’s response was initially reserved for the first two weeks. But then the offering was well-received.”
Following the recent rollout in Germany and the United States, the P&C Lounge is now available to all 110,000 SAP employees in over 70 countries. SAP adapts the offering to local conditions. For example, in the United States, due to vast geographical distances, there will be a stronger virtual component, while in other regions primarily in-person meetings are offered.
With the P&C Lounge, SAP positions itself as a pioneer for an HR strategy that places people at the center in the AI age. “In the current transformation- and technology-driven changes to the world of work, we at SAP can position ourselves as an attractive employer—with the human component being put at the center,” Schmeichel explains.
Customer interest is significant: “We currently see great interest in customer conversations to learn more about how SAP deliberately emphasizes and supports the human factor in times of artificial intelligence.”
The P&C Lounge is a perfect example of this approach of meaningfully combining technology and human interaction. “Our ambition with the P&C Lounge is to set new standards for what is possible in global HR support,” Schmeichel concludes. “It’s about the optimal combination of people-centricity and modern technology in a new world of work.”
Get the latest SAP news delivered to your inbox once a week
As organizations accelerate digital transformation and confront widening skills gaps, external workers—once seen primarily as a cost-containment measure—are now a strategic source of agility, innovation, and expertise, giving businesses the competitive edge they need to thrive in an AI-driven economy.
External talent already represents a significant share of the labor: about 20% in the UK and 40% in the U.S., with projections reaching 50% globally by 2050. This surge reflects the growing demand for specialized skills and flexible cost structures.
A new global study sponsored by SAP and conducted by Economist Impact captures this shift. Drawing on insights from more than 2,000 C-suite executives across industries, the report, “From Cost to Capability: Redefining External Workforce Strategy in 2025,” reveals how the external workforce is evolving from a transactional resource into a core capability that drives adaptability and resilience in the AI era.
The findings underscore a critical imperative: organizations must rethink how they engage talent, integrate technology, and foster collaboration across procurement, HR, and finance to unlock the full potential of external workers.
From cost to capability: a strategic pivot
In 2023, nearly one-third of organizations cited risk reduction as their primary reason for using contingent labor and service providers. By 2025, that number dropped to just 6%. Today, cost efficiency (74%) and access to specialized skills (62%) dominate the list.
Create value where it counts most with smarter spending
Cost efficiency is no longer about short-term savings. It’s about managing broader business risks, from financial exposure to talent scarcity. As Professor David Ulrich of the University of Michigan notes in the report, “To mitigate risk, businesses need to reduce fixed costs, and labor is often a high fixed cost that needs to be seen as a source of growth.”
Leaders increasingly view external talent as a long-term solution for project-based and technology-driven work, especially in fast-moving fields like AI, automation, and data science. Looking ahead, 64% of executives plan to expand their talent networks within three to five years, up from 54% last year—clear evidence that external workforce strategies are becoming integral to workforce planning.
Building a holistic talent ecosystem
Economist Impact’s research points to the rise of holistic talent supply chain management—a model that unites HR, finance, and procurement to forecast talent needs, close skills gaps, and treat the workforce as a dynamic ecosystem rather than a fixed headcount.
This evolution builds on the themes from previous Economist Impact Procurement Imperative reports, where procurement shifted from cost controller to strategic orchestrator of risk, sustainability, and innovation. Forward-looking organizations now embrace “total talent management” models that integrate people, platforms, and partners while aligning culture and communication across internal and external teams.
Breaking down silos and embedding digital tools for real-time visibility will be essential to managing an integrated, skills-based workforce that adapts quickly to business needs—while ensuring external workers feel valued and connected to enterprise goals.
Procurement at the center of workforce transformation
Procurement leaders are moving beyond sourcing and compliance to orchestrate entire talent ecosystems built on governance and collaboration. Yet the function faces challenges: confidence in procurement’s workforce management skills fell from 51% in 2024 to 43% in 2025, reflecting the complexity of its expanded scope.
CFOs and COOs are also taking a more active role, linking external workforce oversight to financial, compliance, and ESG performance. This trend echoes Economist Impact’s “The Resilient Edge: Procurement in an Era of Polycrisis” report, which showed procurement’s remit expanding as risk management becomes central to business strategy.
To succeed, procurement must double down on visibility, digital integration, and strategic alignment. Platforms that unify workforce data—from contingent contracts to skills mapping—will enable teams to balance cost optimization with agility and governance.
AI: driving agility and accountability
Artificial intelligence is reshaping how organizations manage external talent. According to the report, 68% of procurement leaders cite AI proficiency and ethics as their top development priority over the next 18 months. AI can predict workforce needs, automate sourcing, and fill gaps in emerging fields like agentic AI and automation. The payoff: higher productivity and faster decision-making.
But AI also raises a critical questions: who benefits from efficiency gains? How should productivity improvements be measured? Answering these will require new cost models and shared accountability across the enterprise.
As seen in earlier Economist Impact research, AI is once again a catalyst for transformation, redefining how organizations manage, measure, and mobilize external talent.
The external workforce of the future
The evolution of the external workforce underscores a broader truth: agility, capability, and collaboration now define competitive advantage.
Organizations that treat external talent as a strategic asset—integrating governance, data, and culture across internal and external teams—will be best positioned to respond to technological change and seize new opportunities.
To meet these demands, companies are turning to solutions like SAP Fieldglass and SAP Ariba, which help connect procurement and external workforce management. These solutions can deliver the visibility, intelligence, and agility needed to manage today’s dynamic workforce ecosystem.
Gordon Donovan is global vice president of Research, Procurement, and External Workforce at SAP.
Sign up to receive weekly news highlights from the SAP News Center
WALLDORF — SAP SE (NYSE: SAP) today announced that Brose, a global automotive supplier, has successfully migrated its central SAP systems to SAP Cloud ERP Private solutions on Amazon Web Services (AWS), marking a major milestone in its digital transformation journey.
In just six months, Brose transitioned its mission-critical systems from internal data centers to the cloud, including complex production processes such as just-in-time and just-in-sequence operations across its global manufacturing plants. The migration was executed without any disruption to customer deliveries, underscoring the robustness of the solutions and the strength of the SAP-Brose partnership.
“This cloud migration makes Brose faster, more flexible, and more resilient—and strengthens our position as an innovative partner for the mobility of the future,” said Stefan Krug, CEO of the Brose Group. “Challenging times in particular show how important digital transformation is. I’m proud of our team’s dedication and the seamless collaboration with SAP.”
The project is considered a reference implementation for the automotive industry and sets a benchmark for future SAP cloud initiatives. Brose’s successful deployment demonstrates how SAP Cloud ERP Private can support high-performance manufacturing environments while enabling scalability and innovation.
“Brose’s rapid and disruption-free migration to SAP Cloud ERP Private exemplifies the power of the cloud to drive agility and resilience in the automotive sector,” said Thomas Saueressig, member of the Executive Board of SAP SE. “This collaboration showcases what’s possible when industry leaders embrace transformation with speed and precision.”
Looking ahead and reinforcing its role as a pioneer in automotive digitalization, Brose will continue to work closely with SAP and other ecosystem partners to strengthen its foundation of SAP cloud solutions to enable the usage of the latest innovations such as business AI.