SAP Discovery Center Helps Customers Start Their AI Journey

Keeping pace with rapid innovation, especially in the age of AI, can be daunting. For many organizations, the biggest hurdles are knowing where and how to start, what technologies to prioritize, what the investment will cost, and whether it will deliver real value. SAP Discovery Center helps address these questions.

SAP Discovery Center is a site where potential and existing SAP customers can explore SAP Business AI solutions, access pre-built applications and content, and discover use cases, services, reference architectures, and best practices—all free of charge.

Discover, evaluate, and adopt AI powered SAP technologies to create tailored business solutions

The self-service portal offers opportunities to not only explore solutions but get a feel for how SAP technology could work in your organization. Cost and ROI estimator tools prompt users to input information unique to their organization—customizations, hyperscalers, and number of users, for example—and get tangible, personalized use cases to bring back to the business. Maturity assessments use details about an organization’s current platform strategy and architecture landscape to guide users on next steps to achieve the Autonomous Enterprise.

The site also includes missions that provide step-by-step guidance on how to materialize SAP solutions, including what solutions and services may be needed, what the architecture can look like, how other customers are deriving value, and more. For AI specifically, there are almost 400 features and agents available for customers to explore in the SAP Business AI Catalog.

At SAP Sapphire Orlando, two customers using SAP Discovery Center shared the value they’re getting from the site and how it’s guiding their approach to digital transformation.

Agilent

Agilent is a global leader in life sciences, diagnostics, and applied chemical markets, producing and supplying analytical laboratory instruments, software, consumables, and services. Looking to avoid manual analysis and late detection in tariff and compliance changes, Agilent turned to SAP Discovery Center. “We have one core principle: do not solve the problem that has already been solved,” Manthan Peshne, chief enterprise architect at Agilent Technologies, Inc., said. SAP Discovery Center allowed Agilent to stay true to this principle.

“We started exploring SAP Discovery Center and we found quite a few good building blocks, essentially in the form of missions,” Peshne said. “We also looked at some composable services which we could assemble together…It’s not a complete solution…but we found a completely unrelated industry and use case that we could use.” Using a mission set in the context of the oil and gas industry, the Agilent team was able to explore how an AI agent could interpret unstructured regulatory signals, extract the tariff context, determine its relevance, and convert that fragmented information into actionable alerts. Not only did Agilent find a solution to its problem, but the SAP Discovery Center mission accelerated design thinking and development for the project.

“We also ended up with an enterprise pattern by building this solution, which gives us a platform where I could replicate this to other scenarios where I have external inputs or signals that we need to capture and put in the context of Agilent data,” Peshne added.

Sutherland  

Sutherland is an AI-driven business transformation company that designs, runs, and automates enterprise operations at scale to help its clients achieve real, measurable business outcomes. A large part of this includes building and delivering production-grade agentic AI solutions on top of leading foundational models.

For Sutherland, SAP Discovery Center has kick-started many projects. “Instead of starting an MVP to see what the problem is and where to start, we have a ready-made solution from which we can pick up from,” Amar Busireddy, SAP enterprise architect at Sutherland Services, said. “It gives us a start somewhere around 20%-30% depending on the scenario.”

Having a starting point boosts confidence, Busireddy said, and enables Sutherland’s consultants to create solutions faster, which means faster time-to-value for its customers. Specifically, the missions available in SAP Discovery Center have helped: “We are using missions to kick-start educating our consultants and with implementing and helping our customers,” Busireddy said. Missions around Joule are plentiful, including how to integrate the AI solution with SAP SuccessFactors solutions, SAP Ariba solutions, and SAP S/4HANA.

“There are many reference architectures given for many problems, which might not be sufficient for us or might not fit our requirements 100%, but that definitely give us the direction on what to use and what not to use. From there, we can plan budget and time,” he said.

SAP Discovery Center: The starting point

The experiences of Agilent and Sutherland show that SAP Discovery Center is more than a resource hub—it is a catalyst for action. By offering practical guidance, reusable missions, reference architectures, and planning tools that help evaluate fit, cost, and value, the site enables organizations to accelerate innovation without starting from scratch. For organizations looking to turn AI ambition into actionable business outcomes, SAP Discovery Center is the place to begin.


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Introducing Autonomous CX | #SAPSapphire

At SAP Sapphire 2026, SAP Customer Experience made one thing clear: the era of fragmented, disconnected customer experiences is over.

The new paradigm? Autonomous experiences – delivered through agents and assistants across the entire customer lifecycle, grounded in real operational data.

In this video, Balaji Balasubramanian, President and Chief Product Officer, SAP Customer Experience, explains:
→ The CX paradigm shift SAP announced at SAP Sapphire 2026
→ What’s new in SAP Commerce Cloud for midsize companies
→ Composable commerce, unified payments, and field sales innovations
→ Why connected processes + AI = revenue and loyalty growth

Learn more about Autonomous CX: https://sap.to/6055B8UKHW

#SAPSapphire #CustomerExperience #Joule

Autonomous Supply Chain: Why Agentic AI Is Rewriting the Operating Model

Global supply chains are being reshaped by structural—not cyclical—forces, and traditional operating models are struggling to keep pace. Agentic AI, embedded across end-to-end workflows, is emerging as a critical enabler of a more autonomous supply chain operating model.

Orchestrates your people, processes, and technology across the supply chain

As discussed in a new whitepaper, Navigating the New Supply Chain Paradigm, this perspective is grounded in interviews with supply chain leaders across six industries: automotive electronics and software, agricultural equipment, chemicals, global technology, automotive supply, and home appliances.

Their experiences reveal where companies are investing, where adoption challenges remain, and where the next wave of value is likely to emerge.

Supply chains are entering an era of permanent disruption

Four structural forces are reshaping global supply chains simultaneously: geopolitical instability, economic pressure, demographic shifts, and accelerated digital transformation.

Since 2017, trade between geopolitically distant economies has slowed relative to trade among closer partners, signaling growing fragmentation in global commerce. Energy and input costs remain elevated, while labor shortages and digital skill gaps continue to constrain operations.

Europe alone could face 745,000 unfilled truck driver positions by 2028, and 63% of companies cite talent shortages as a primary transformation barrier.

Together, these pressures are pushing supply chains beyond the limits of the traditional “plan-source-make-deliver” model.

Companies are shifting from optimization to AI-enabled orchestration

Supply chains are increasingly viewed as strategic levers for resilience, service differentiation, and competitive advantage.

Across all six companies interviewed, each is investing in at least three forward-looking AI use cases in planning alone.

  • A leading agricultural equipment company has deployed more than 1,000 AI agents to support orchestration, scenario planning, and value chain visibility. A global chemicals company is embedding AI across planning and scenario management while emphasizing explainability and trust.
  • A home appliance company is applying AI selectively to improve forecasting, transport optimization, warehouse safety, and logistics costs.

The common theme: organizations are redesigning how the enterprise senses, decides, and acts.

Resilience is now defined by decision velocity

In today’s fragmented environment, resilience is no longer about static buffers. It is about how quickly companies can convert disruption signals into coordinated action across sourcing, production, planning, and logistics.

  • An automotive electronics and software company centralized electronics ordering across roughly 30 plants and redesigned crisis-management processes, reducing disruption response times by approximately 95%.
  • A global technology company adopted a regional “two-leg” supply chain model, using inventory strategically to respond faster to disruptions.

The emerging differentiator is not forecast accuracy alone, but the speed from disruption detection to execution. Visibility remains important, but visibility without coordinated action is no longer enough.

Trust and governance are the biggest barriers to scaling AI

Despite rapid interest, 90% of AI use cases remain stuck in pilot mode. The challenge is not model accuracy alone; it is trust, explainability, fragmented systems, and manual overrides.

  • One global chemicals company found that scaling AI depended less on technical performance and more on whether users could understand and trust the outputs. This led to stronger human-in-the-loop governance and progressive autonomy thresholds.
  • A major automotive electronics company requires transparent, traceable AI reasoning before planners rely on AI-generated recommendations.

The path to autonomy will be incremental: companies will first augment human decision-making, then automate routine and semi-structured decisions as governance, trust, and data maturity improve.

The next frontier is the Autonomous Enterprise

The Autonomous Enterprise is an operating model where AI workflows, contextual business data, and embedded governance work together to anticipate disruption, coordinate action, and continuously improve performance.

The shift is moving from isolated copilots to coordinated agent-to-agent workflows spanning the supply chain.

In autonomous production environments, supplier reliability agents can monitor vendor risk while workforce orchestration agents align labor capacity with demand. Procurement agents execute sourcing decisions, and production planning agents dynamically rebalance schedules in response to changing conditions.

A similar pattern is emerging in asset management, where alert-processing, maintenance, warehouse replenishment, and goods-movement agents collaborate to resolve operational issues with minimal human intervention.

The business impact is significant. Agentic AI has improved procurement workflow efficiency by 20 to 30%, reduced scrap by 55%, lowered nonperfect batches by 80%, and helped reduce inventory by 20 to 30% while cutting logistics costs by five to 20%.

Collectively, these improvements mark the transition from reactive supply chains to systems that can increasingly anticipate, decide, and execute autonomously.

Building the autonomous supply chain

Capturing this opportunity requires three capabilities that remain fragmented in many organizations today:

  • Organizational intelligence: The ability to detect patterns, anticipate risks, and reason across constraints
  • Contextual data: Trusted operational data, business rules, workflows, and policies that ground AI decisions in enterprise reality
  • Embedded execution: Integrating intelligence directly into workflows so actions can move from recommendation to execution without manual intervention

This creates a virtuous cycle: better data improves decisions, better decisions improve processes, and improved processes generate richer operational data over time.

Importantly, companies do not need to rebuild the enterprise from scratch. Deterministic systems of record remain essential for control, compliance, and auditability. The real transformation lies in rewiring how decisions are made and governed.

Organizations moving fastest are focusing first on high-value, high-frequency decisions such as forecasting, inventory optimization, disruption sensing, transport planning, procurement workflows, maintenance, and customer-service resolution.

The bottom line

The future of supply chain management will not be defined by more digital tools alone. It will be defined by the ability to operate the supply chain as a connected, adaptive, and increasingly autonomous system.

For leaders who move first, supply chain will evolve from a cost-management function into a competitive differentiator, enabling faster time to market, stronger service levels, and greater resilience. The organizations that lead will not be those running the most AI pilots. They will be the ones using AI to redesign how the enterprise senses, decides, and acts across the end-to-end supply chain.

For more information about Autonomous Supply Chain Management, download the white paper, Navigating the New Supply Chain Paradigm.


Hagen Heubach is chief marketing officer for Supply Chain Management at SAP.

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Introducing the Autonomous Enterprise 💎 | #SAPSapphire

Introduced at #SAPSapphire: the Autonomous Enterprise. Where people focus on strategy, creativity, and judgment – and AI handles the rest.

💎 Joule: Use a single, cohesive point of entry to seamlessly orchestrate data, workflows, and AI agents across SAP and non-SAP systems.
💻 SAP Autonomous Suite: Operate on an AI‑enabled suite where agents and assistants run processes and people guide performance.
🤖 SAP Business AI Platform: Build, contextualize, reason, and govern AI agents on a platform that combines deep process context, unified data, and models built for business.

Learn more about the Autonomous Enterprise: https://sap.to/6058B8mVqq

AI-Powered Smart Glasses in Retail | SAP Sapphire Madrid 2026

See how EssilorLuxottica and SAP are exploring AI-powered smart glasses to make retail operations faster, smarter, and more personal.

At SAP Sapphire Madrid 2026, Davide Schinetti, Chief Operating Officer at EssilorLuxottica, joins SAP to showcase how wearable technology, SAP Joule, and connected back-end systems can support new retail experiences. The conversation begins with the scale of EssilorLuxottica’s global business, from advanced eye care solutions and iconic eyewear brands to retail networks and smart glasses.

The live demo shows how a store associate could use Ray-Ban smart glasses with Joule embedded to access customer order history, reorder products, check store availability, and support personalized recommendations in real time. By connecting speech, AI, customer data, inventory, and SAP back-end systems, the experience helps store teams respond faster while keeping the interaction natural and human.

EssilorLuxottica also shares how the use case was developed jointly with SAP in just two weeks and how the teams are continuing to explore opportunities across retail operations and supply chain. With 602 sites and 119 distribution centers, EssilorLuxottica is looking at how SAP and AI can help simplify complex operations and create more seamless experiences for customers and employees.

Chapters:
00:00 – Welcome to SAP Sapphire Madrid
00:28 – EssilorLuxottica’s global scale and brands
01:19 – Wearable technology use cases
02:01 – Introducing smart glasses on stage
03:02 – Using Joule to access customer order history
04:02 – Reordering eyewear with SAP back-end data
04:32 – Personalized upsell recommendation
05:13 – Checking product availability in store
06:06 – Adding products to checkout
06:40 – Technology behind the demo
07:14 – Built together in two weeks
07:47 – What’s next for SAP and EssilorLuxottica

Watch the full Customer Success Keynote. 👉 https://youtu.be/dG9aBkJCcso
Watch all SAP Sapphire replays on demand. 👉https://www.sap.com/events/sapphire.html

Follow SAP:
LinkedIn: https://www.linkedin.com/company/sap/
Instagram: https://www.instagram.com/sap
Facebook: https://www.facebook.com/SAP/
Threads: https://www.threads.com/@sap

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

#SAPBusinessAI #RetailAI #SAPSapphireMadrid2026

Justin King explains how to effectively showcase products across channels 🙌

Properly displaying your products across your sales channels provides new business opportunities. Hear from Justin King, Director at B2B eCommerce Association, on how to make it happen in SAP Business Network.

Learn more about SAP Business Network and sign up for a supplier account today. 👉 https://sap.to/6050BBixY0

Never Replatform Again | SAP GROW AI Cloud ERP

The hardest part of choosing software for your growing business?

Picking something you won’t outgrow in 3 years.

SAP GROW is AI cloud ERP built for midsize companies that are scaling fast and can’t afford to start over. sap.com/grow

SAP GROW gets you live fast so you never lose momentum. 🏃

SAP GROW is AI cloud ERP for any size business – helping even the leanest teams hit the ground running, while never losing momentum.

✅ https://sap.to/6057B6xtfT

The Secret to Fast Brand Advocacy | SAP Spotlight on ANZ Tech | Episode 9

How do you turn a frustrated customer into a brand advocate really quickly? It starts with understanding, not just answering.

In this episode of SAP Spotlight on ANZ Tech, we dig into one of the most important moments in the entire customer journey: the first response. When something goes wrong, customers want to feel heard fast, and they want progress toward a real fix. A quick reply that misses the point can make things worse. A thoughtful first response that shows context, ownership, and a clear next step can change the tone of the relationship in minutes.

Our customer experience experts, Scott and Scott, explain why connected systems matter so much here. Customers get frustrated when they have to repeat themselves or re-share information you should already have, like purchase history, interaction timing, or previous case notes. That “repeat” moment signals that the experience is disconnected, and it makes customers feel like a ticket number instead of a person.

You will also hear how tying systems together can simplify feedback and speed resolution without cutting corners. When teams can see the full picture across channels, they can acknowledge the issue with context, ask fewer questions, and move straight to action. The result is less effort for the customer, faster time to resolution, and more opportunities to turn a complaint into loyalty.

👉 Download our Australian Engagement Report to turn engagement insights into retention wins: https://sap.to/6050B6me4g

Follow us on social:
LinkedIn: https://sap.to/6051B6me49
Instagram: https://sap.to/6052B6me4i
Facebook: https://sap.to/6053B6me4c
Threads: https://sap.to/6054B6me4Y

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6055B6me4l

#CustomerExperience #CustomerService #SAP

SAP and UnternehmerTUM Drive Co-Innovation in Embodied AI

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

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

Get more done faster and more efficiently with AI and agents that actually understand all your business processes and data

Embodied AI: a joint focus of innovation

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

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

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

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

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

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

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

A close partnership

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

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

Programs with impact

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

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

Co-innovation gets results—faster

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

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

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

This first appeared on the German SAP News Center.

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