The Autonomous Enterprise with SAP

Apps, Data, and AI in Action
1. Auflage 2026
ISBN: 978-1-4932-2870-6
Verlag: Rheinwerk Verlag GmbH

Buch, Englisch, 677 Seiten, Format (B × H): 178 mm x 254 mm

In the last decade, you’ve heard SAP’s big announcements and watched its major moves to develop, enhance, and innovate cloud software. Are you ready for the big reveal?

Get to know the SAP Autonomous Enterprise’s combination of business apps, data, and AI advancements that can transform the way you work. With this book as your roadmap, you’ll walk through the tools and technologies that help you achieve your business goals. Learn to read the new landscape and decipher its neon signage: BTP, BDC, Cloud ERP, and beyond. Discover connection points between familiar software and promising newcomers—and plot your first steps toward non-disruptive transformation.

Highlights include:

1)SAP Autonomous Suite

2)SAP Cloud ERP and LoB apps

3)Two-tier ERP landscapes

4)SAP Business Technology Platform

5)SAP Business Data Cloud

6)In-app and side-by-side extensibility

7)SAP Integration Suite and SAP Event Mesh

8)SAP Business AI

9)Intelligent technologies

10)The flywheel effect

Autoren/Hrsg.

Singh, Nitin

Porterfield, Jason

Devarapalli, Srinivas

Mathew, Joffy

Walsh, Cooper

Aruda, Lyssa

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware SAP

Inhaltsverzeichnis

... Foreword by Darwin Deano ... 19

... Preface ... 21

... Who This Book Is For ... 22

... How This Book Is Structured ... 23

... Acknowledgments ... 26

... Conclusion ... 26

1 ... Introducing the Autonomous Enterprise: Apps, Data, and AI ... 29

1.1 ... The Cloud and Autonomous Mindset ... 29

1.2 ... The Autonomous Enterprise Flywheel ... 31

1.3 ... Applications: SAP Autonomous Suite ... 35

1.4 ... Data: The Business Data Foundation ... 38

1.5 ... Platform: SAP Business Technology Platform as the Foundation ... 40

1.6 ... SAP Business AI: The Intelligence Engine ... 42

1.7 ... Business AI Maturity Model: From Augmentation to Autonomy ... 55

1.8 ... Case Studies ... 58

1.9 ... Summary ... 63

PART I ... SAP Autonomous Suite ... 65

2 ... SAP Cloud ERP Business Capabilities ... 67

2.1 ... Finance ... 67

2.2 ... Sales ... 84

2.3 ... Sourcing and Procurement ... 103

2.4 ... Production Planning and Manufacturing ... 125

2.5 ... Logistics ... 156

2.6 ... Asset Management ... 171

2.7 ... Summary ... 190

3 ... Two-Tier ERP Landscapes ... 193

3.1 ... What Is Two-Tier ERP? ... 193

3.2 ... Deployment Models and Use Cases ... 195

3.3 ... Finance Domain: From Consolidation to Strategic Planning ... 198

3.4 ... Sales Domain: Order-to-Cash ... 202

3.5 ... Procurement Domain: Procure-to-Pay ... 203

3.6 ... Integration and Setup ... 205

3.7 ... Accelerators ... 208

3.8 ... Summary ... 208

4 ... LoB Apps and Extended Capabilities ... 211

4.1 ... Supply Chain ... 211

4.2 ... Finance and Spend ... 226

4.3 ... Customer Experience ... 237

4.4 ... Human Resources ... 245

4.5 ... Summary ... 257

5 ... Embedded AI in Business Processes ... 259

5.1 ... How SAP Makes the Autonomous Enterprise Real ... 260

5.2 ... Finance ... 264

5.3 ... Lead-to-Cash ... 300

5.4 ... Source-to-Pay ... 319

5.5 ... Plan-to-Fulfill ... 328

5.6 ... Acquire-to-Decommission ... 347

5.7 ... Summary ... 362

6 ... Industry-Specific Autonomous Scenarios ... 365

6.1 ... Life Sciences: Traceability, Compliance, and Controlled Supply Chains ... 365

6.2 ... Consumer Products: Demand Volatility and Omnichannel Fulfillment ... 367

6.3 ... High Tech: Configurable Products and Rapid Innovation Cycles ... 369

6.4 ... Industrial Manufacturing: Supply Constraints and Production Continuity ... 370

6.5 ... Oil, Gas, and Energy: Distributed Operations and Asset Coordination ... 371

6.6 ... Summary ... 372

PART II ... SAP Business AI Platform ... 375

7 ... The New Platform ... 377

7.1 ... The Platform Architecture ... 378

7.2 ... Build with SAP BTP and Joule Studio ... 379

7.3 ... Knowledge Core with SAP Business Data Cloud ... 381

7.4 ... SAP AI Core and SAP AI Launchpad ... 383

7.5 ... The Generative AI Hub ... 384

7.6 ... Joule Work ... 386

7.7 ... SAP AI Agent Hub ... 387

7.8 ... Business Transformation Management ... 388

7.9 ... Governing AI at Enterprise Scale ... 390

7.10 ... Summary ... 391

8 ... SAP Business Technology Platform ... 393

8.1 ... Clean Core ... 394

8.2 ... Accounts and Runtime Environments ... 401

8.3 ... SAP Build ... 403

8.4 ... Platform Integration Capabilities ... 417

8.5 ... Lifecycle Management ... 419

8.6 ... Summary ... 422

9 ... SAP Business Data Cloud ... 423

9.1 ... Vision and Architecture ... 423

9.2 ... Setting Up SAP Business Data Cloud ... 432

9.3 ... Integration with SAP Cloud ERP and LoB Applications ... 439

9.4 ... Intelligent Content and Data Products Economy ... 443

9.5 ... Zero-Copy Data Sharing ... 459

9.6 ... SAP Knowledge Graph and Integration with Joule Studio ... 462

9.7 ... Embedded AI Capabilities ... 465

9.8 ... Governance ... 471

9.9 ... Use Case Patterns ... 475

9.10 ... Summary ... 485

10 ... Extensibility and Agent Development ... 487

10.1 ... In-App Extensibility for Key Users ... 488

10.2 ... Developer Extensibility ... 490

10.3 ... Side-by-Side Extensibility ... 493

10.4 ... The Extensibility Wizard ... 496

10.5 ... Joule Skills and Agent Development ... 497

10.6 ... Custom AI Services and Development ... 503

10.7 ... Summary ... 506

11 ... Integration Capabilities ... 509

11.1 ... Integration Strategy ... 509

11.2 ... APIs and Integration Flows ... 517

11.3 ... Event-Driven Integrations ... 522

11.4 ... AI for Integration ... 528

11.5 ... SAP Master Data Integration ... 530

11.6 ... Summary ... 531

PART III ... Transformation and Execution ... 533

12 ... Developing a Business Case for Your Autonomous Enterprise ... 535

12.1 ... Where Is the Value Lost? ... 535

12.2 ... What Agents and Assistants Actually Change ... 536

12.3 ... The Flywheel Model: How Autonomous Capabilities Amplify Traditional Value ... 537

12.4 ... Top-Down Value Versus Bottom-Up Value ... 539

12.5 ... How the Autonomous Enterprise Bridges the Gap ... 542

12.6 ... Building a Value-Based Roadmap ... 543

12.7 ... From Rotterdam to Outcomes ... 545

12.8 ... Summary ... 546

13 ... Leveraging Tools for Transformation ... 549

13.1 ... Process Optimization with SAP Signavio ... 551

13.2 ... Architecture Management with SAP LeanIX ... 560

13.3 ... Lifecycle Management with SAP Cloud ALM ... 566

13.4 ... Testing Automation with Tricentis ... 568

13.5 ... Data Migration with Syniti ... 570

13.6 ... Content Management with OpenText ... 571

13.7 ... Digital Adoption with WalkMe ... 572

13.8 ... Toolchain Convergence ... 576

13.9 ... Summary ... 589

14 ... AI Governance and Responsible AI ... 591

14.1 ... Ethical AI Guidelines: Principles into Action ... 592

14.2 ... Privacy and Auditability: The Data Sanctuary ... 597

14.3 ... Sovereign AI and Global Compliance ... 599

14.4 ... Autonomous Suite Resilience and the Secure Core ... 601

14.5 ... Agent Lifecycle Management ... 604

14.6 ... Summary ... 606

15 ... Operationalizing Your Vision ... 607

15.1 ... Deployment Strategy and Instance Planning: Choosing Your Starting Architecture ... 607

15.2 ... Organization Readiness Assessment ... 611

15.3 ... From Readiness to Target Architecture ... 619

15.4 ... Multiyear Roadmap ... 620

15.5 ... The AI Golden Path: From Business Intent to Deployment ... 623

15.6 ... Value Realization Plan: Measuring and Governing the Outcomes ... 627

15.7 ... Summary ... 630

16 ... Change Management ... 633

16.1 ... Why Change Management Is Crucial ... 633

16.2 ... Structured Change Management ... 635

16.3 ... Measurement and Diagnosis: When Adoption Stalls ... 641

16.4 ... AI Fluency and Certification ... 643

16.5 ... Learning Journeys and Consultant Enablement ... 644

16.6 ... Summary ... 648

17 ... From Analog Transactions to Autonomous Value ... 651

17.1 ... The Three Layers of the Autonomous Enterprise ... 651

17.2 ... Where Korindal Started: One Layer, Not Three ... 652

17.3 ... The Starting Point: What to Do Now ... 661

17.4 ... The Moment in History ... 662

17.5 ... Summary ... 663

... The Authors ... 665

... Index ... 667

Über Autor(innen)

Devarapalli, Srinivas
Srini Devarapalli is an AI GTM strategy and advisory lead guiding enterprises on adopting SAP Business AI with a clear strategy, value roadmap, and responsible agentic and embedded AI capabilities. Prior to this role, he spent more than 16 years in management and technology consulting, leading large-scale transformations as an enterprise architect with broad experience in strategy, process design, and systems implementation across multiple industries. He has been a keynote speaker at SAP Insider and ASUG events, sharing insights on AI strategy and enterprise transformation.

Walsh, Cooper
Cooper Walsh is a senior solution advisor for SAP BTP. He has worked at SAP for 10 years, focusing exclusively on SAP BTP. He has helped guide customers on their journey to SAP’s modern business suite and understands the critical role that SAP BTP plays in helping customer integrate their solutions and adopt SAP’s clean core framework. With the recent advances in generative AI, he has also developed a strong focus on how customers can adopt an AI strategy as part of their strategic roadmap, and on how SAP BTP can support AI for their business operations. Cooper is based out of SAP’s Palo Alto location and supports its west enterprise customers with experience in high-tech, retail, consumer products, life sciences, agriculture, automotive, and other industries.

Aruda, Lyssa
Lyssa Aruda is a senior solution advisor at SAP with more than a decade of experience leading large-scale enterprise transformations. She began her career in consulting, partnering with global organizations to drive process and organizational change, implement complex software solutions, and deliver operations at scale. In recent years, Lyssa has specialized in process optimization and process mining, helping organizations turn operational data into actionable insights and measurable business outcomes. Known for bridging technical depth with functional expertise, she works closely with customers to translate strategy into execution and ensure value realization across the transformation lifecycle.

Mathew, Joffy
Joffy Mathew is a senior director in SAP BDC product management. He has 28 years of global SAP experience and is a seasoned strategist and results-oriented professional with demonstrated success leading high-profile, complex initiatives to develop strategy and delivery of enterprise data management and analytics solutions. At SAP, Joffy is focused on formulating business-driven data strategies as part of the product, enabling core technology solutions for intelligent and sustainable enterprises to improve data strategy and analytics. As a trusted advisor to a diverse list of strategic SAP clients across multiple industries, Joffy is a regular speaker at ASUG conferences and events. He conducts regular webinars on data strategy and digitization.

Porterfield, Jason
Jason Porterfield leads SAP America’s Americas Architecture Advisory practice, guiding strategic enterprise transformations across the region. An almost 30-year SAP ecosystem veteran, he has served as a customer, partner, and SAP executive—bringing a 360-degree perspective to modernizing ERP and accelerating outcomes. As enterprise architecture leader, he mentors teams that help organizations design their path to the cloud and realize measurable value. He is based in the Kansas City area and remains an active voice in the SAP enterprise architecture community.

Singh, Nitin
Nitin Singh is managing principal for architecture advisory at SAP America, helping Fortune 500 companies translate strategy into transformation outcomes. He leads a team of enterprise architects focused on simplifying technology landscapes, accelerating cloud adoption, and moving organizations from AI-assisted to AI-executed decisions.With more than 21 years of experience guiding large-scale SAP transformations, his work centers on this book’s core theme: how enterprises move from automating processes to operating autonomously. Nitin is known for his pragmatic approach to clean core and enterprise architecture and his unwavering focus on measurable business value over technical perfection. His philosophy: The best architecture is invisible. Success is measured not by the platform you build, but by how much faster the business moves.Nitin is the author of two SAP PRESS books on SAP S/4HANA and SAP Signavio, is a frequent speaker at SAP and ASUG events, and is based in Newtown Square, Pennsylvania.