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.

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.

SAP has opened its newest data center in Mumbai. The data center reflects the company’s deepening commitment to India, the world’s fastest-growing large economy and home to more than 15,000 employees of the Germany-based enterprise software provider.

With the new data center in India complementing existing ones in Europe, the U.S., and Saudi Arabia, SAP has dramatically strengthened the data federation capabilities of SAP Business Network Commerce Automation, linking together the procurement processes of businesses and their trading partners across the globe.

With this milestone, SAP has delivered on a crucial promise made to a highly consequential set of customers in the Indian subcontinent and beyond. Later this year, the India data center will extend data federation capabilities for SAP Business Network Supply Chain Collaboration as well.

But what is data federation? And why is it so consequential for organizations in India and elsewhere?

Data federation assembles a unified view of data from disparate sources without physically moving or copying it. Trading partners can thus exchange goods and services across international borders while the data underlying those transactions remains stationary. By preserving the integrity of data where it resides, federation facilitates mission-critical operational processes on a global scale while achieving regulatory consistency with compliance requirements that arise at a national level. For example, if a buyer’s data resides in SAP Business Network’s India data center but its supplier’s data sits in the U.S. data center, federation provides both parties with access to each other’s data without impinging on either nation’s policies governing the residency of that data. This becomes especially important as new legislation gathers pace around the world in response to rising concerns over individual privacy, national security and commercial sectors considered sensitive.

Enabled by SAP Business Technology Platform, SAP Business Network and its data federation capabilities are now built on the kind of modern, connected foundation required for the next era of cloud-based commerce. Beyond improved scale, resilience, and regional compliance, SAP Business Technology Platform helps create the basis for agentic artificial intelligence, automation, richer analytics, stronger security, open extensibility, and seamless cross-SAP workflows and processes. The result is a network that can not only connect partners globally but also help customers to conduct business more intelligently, respond faster to change, and drive greater value from every interaction across procurement, supply chain, logistics, asset collaboration, and working capital management.

To collaborate with their trading partners on these and other core business processes, companies conducting business in India require a cloud-based platform that provides secure infrastructure for building resilient domestic supply chains while maintaining global connectivity, thus maintaining sensitive procurement, supplier, and manufacturing data within Indian jurisdiction. SAP Business Network furthers these objectives with our newly launched data center in Mumbai, where data is localized in a manner compliant with Ministry of Electronics and Information Technology (MeitY) guidelines, with a MeitY-empaneled cloud service provider.

While supporting compliance within an increasingly complex regulatory environment, data federation offers numerous technical advantages as well, especially in hybrid or multi-cloud environments. These benefits include cost efficiency, unified governance and security, and faster response times compared to accessing servers in distant regions. Yet the most valuable competitive advantage provided by data federation may be the most elusive: peace of mind for business leaders amid the ever-looming threat to supply chains posed by disruption.

To counter that threat—whether arising from geopolitical conflict, labor unrest, financial shock, natural disaster, or other upheaval—businesses are turning increasingly to data federation and other cloud-based solutions to extend visibility and instill resilience across their operations and those of their trading partners. With the opening of our new data center in Mumbai, we are incredibly excited to strengthen our relationships with customers throughout India and accelerate the value available to them from SAP Business Network.

For information on SAP Supply Chain Management and how SAP solutions are equipping enterprises with the AI capabilities needed to instill resilience, counter disruption, and foster collaboration, visit sap.com/scm and sap.com/ai.

Jörn Keller is executive vice president and chief product officer of SAP Business Network.

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

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

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

Following are a few standout achievements:

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

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

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

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

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

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

Here’s what users said about SAP Commerce Cloud:

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

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

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

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

Here’s what users said about SAP Sales Cloud:

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

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

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

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

Here’s what users said about SAP Service Cloud:

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

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

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

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

Here’s what users said about SAP Engagement Cloud:

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

Shaping the future of customer experience, together

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Benjamin Blau, Chief Process & Information Officer, SAP

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

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

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

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

Why this conversation matters now

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

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

• Data-driven decision-making
• Automated execution
• Governance-by-design

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

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

From concept to operating model

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

Three priorities define this model:

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

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

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

What we are setting out to do

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

Some of the questions we will be digging into:

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

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

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

How companies can get started

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

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

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

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

A shared journey forward

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

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

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

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