WhitePapers

Co-authored by Sonal Gupta and Raghu Banda, this updated post-SAPPHIRE whitepaper explores how enterprises can move beyond traditional automation and AI copilots toward trusted, governed “digital coworkers” that understand business intent, reason across enterprise context, and execute multi-step outcomes across SAP and non-SAP systems. The paper frames Agentic AI through an Enterprise Architecture lens, showing how SAP’s Business AI Platform, Joule, Joule Work, Joule Assistants, Joule Agents, Joule Studio, SAP Business Data Cloud, SAP Knowledge Graph, SAP AI Agent Hub, the SAP Autonomous Suite, and Industry AI come together to enable the Autonomous Enterprise. 

Key highlights:

• From automation to autonomous digital coworkers: Explains the five core components of an SAP agent such as the reasoning, business context, memory, execution tools, and orchestration logic, and how Joule Assistants and Joule Agents translate business intent into trusted enterprise action. 
• Post-SAPPHIRE 2026 SAP Business AI architecture: Provides an updated architectural view of the SAP Business AI Platform across Build, Contextualize & Reason, and Govern pillars, including Joule Studio, SAP Integration Suite, SAP Business Data Cloud, SAP Knowledge Graph, SAP Domain Models, generative AI hub, and SAP AI Agent Hub. 
• Practical roadmap to the Autonomous Enterprise: Outlines where Agentic AI creates the most value across Autonomous Spend, CX, Finance, Supply Chain, cross-functional multi-agent collaboration, and Industry AI, supported by a 7-step implementation and governance model with human-in-the-loop controls, observability, blast-radius containment, and continuous improvement.
   

 Read the full whitepaper to discover your actionable blueprint for safely transitioning your SAP landscape from passive automation to true enterprise autonomy.
👉 Download the Whitepaper (PDF)

This whitepaper, authored by Raghu Banda, Guillem Ona, and Shibaji Chandra, serves as a foundational guide for Enterprise Architects (EAs) to strategically integrate Artificial Intelligence into their organizational frameworks. It provides a comprehensive baseline for architecting AI solutions with SAP, focusing on alignment with business strategy, scalability, and ethical governance.

Key highlights:

• Architectural Guidance for EAs: The document positions Enterprise Architects as "torchbearers" who must establish guiding principles—Relevant, Reliable, and Responsible—to ensure AI adoption is ethical, secure, and strategically aligned with business goals.
  
• SAP’s AI Solution Stack: It details the technical components for modern AI applications, including SAP BTP for orchestration, SAP AI Core for model lifecycle management (MLOps), and SAP HANA Cloud for high-performance vector storage and knowledge graphs.
  
• Strategic AI Paradigms: The paper explores the evolution from task automation to autonomous intelligence, highlighting key innovations such as Joule (AI copilot), Joule Studio for low-code development, and the emergence of Agentic AI for executing complex, multi-step business workflows.

By bridging the gap between technical AI capabilities and enterprise-wide transformation, this paper empowers architects to turn AI from a futuristic concept into a strategic catalyst for long-term business growth. 

👉 Download the Whitepaper (PDF)

This whitepaper, co-authored by Abhi from Amazon and Raghu Banda from SAP, outlines a strategic blueprint for AgenticOctank, a fictitious 2030-era enterprise. It demonstrates how SAP and AWS technologies can be integrated to build a scalable, autonomous, and high-performance agentic architecture for complex business processes like Order-to-Cash 

Key highlights:

• Hierarchical Orchestration: The architecture utilizes a multi-layer approach, starting with local edge supervisor agents on user devices that route requests to main supervisor agents on the cloud, which then delegate specific tasks to domain-specific sub-agents and micro-agents.
  
• Seamless SAP & AWS Integration: The solution leverages SAP BTP, Joule, and the GenAI Hub alongside Amazon Bedrock, AgentCore, and Strands SDK to provide a unified environment for both content-based and code-based agents.
  
• Standardized Discovery (OTRD): To manage 200+ service teams, the blueprint implements the OpenToolResource Discovery (OTRD) API, allowing supervisor agents to dynamically discover and consume machine-readable tool configurations at runtime without manual coordination.

This collaborative framework ensures that agentic automation remains grounded in enterprise architecture principles while delivering a low-latency, secure, and highly personalized end-user experience. 

👉 Download the Whitepaper (PDF)

We’re excited to share the publication of “Real-World En Call Center Transcripts Dataset with PII Redaction”, co-authored by Ha Dao, Gaurav Chawla, Raghu Banda, and Caleb DeLeeuw. This work presents one of the largest open-source call center transcript datasets available to the research community.

With over 91,000 real-world English call center conversations (totaling more than 10,000 hours of dialogue), this dataset provides an unparalleled foundation for advancing AI systems in customer support, conversational AI, and sales automation.

Key highlights:

• ✅ High-quality transcripts from inbound and outbound customer service calls
   
• 🌍 Diverse accents including speakers from the U.S., India, and the Philippines
   
• 🔐 All Personally Identifiable Information (PII) has been rigorously redacted to meet global data privacy standards
   
• 🔎 Ideal for research in ASR (Automatic Speech Recognition), NLP, and dialogue systems
   
• 📄 Released under a CC BY-NC 4.0 license for non-commercial research use
   

🧠 As AI continues to drive innovations in enterprise service and automation, real-world datasets like CallCenterEN are critical to building trustworthy, privacy-respecting solutions.

👉 Explore the Dataset on Hugging Face
👉 Download the Whitepaper (PDF)

In today’s rapidly evolving digital landscape, AI is no longer an optional layer—it’s becoming the strategic core of enterprise transformation. For organizations looking to harness this shift, Enterprise Architecture (EA) must evolve to support intelligent, agile, and connected systems.

This whitepaper—developed by leading EA and SAP experts - Vishal Mehta, Jose Bujalil, Shibaji Chandra, Zahid Ali and Raghu Banda—presents a comprehensive guide to the SAP Integrated Toolchain, a powerful framework designed to help Enterprise Architects navigate the complexities of AI-led transformation.

Inside, you’ll discover:

• 🔍 What an Integrated Toolchain is and why it matters in the AI era
   
• ⚙️ How SAP’s tool ecosystem supports smarter architecture design, governance, and collaboration
   
• 💡 Real-world EA challenges and how the toolchain helps overcome them
   
• 🔗 Integration touchpoints, data flows, and architecture alignment
   
• 🚀 Strategic benefits and implementation guidance for enterprise success
   

Whether you’re modernizing legacy landscapes or designing future-ready AI solutions, this paper offers practical insights to elevate your enterprise architecture game. 

 👉 Download the Whitepaper