Learn how the Model Context Protocol (MCP) enables AI agents to automate data engineering, reconstruct legacy system logic and accelerate migration to SAP Datasphere.
Traditional AI chatbots only answer questions from training data, leaving the execution to you. Next-generation Agentic AI acts as a hands-on assistant, planning, executing and operating directly inside your SAP BW environment.
Here’s what to expect from the presentation:
- Agentic AI at a glance: What defines an AI agent, how MCP connects it to your systems, and where SAP and data platforms stand today.
- 100+ Integrated Tools: Full lifecycle coverage across Reading, Writing, and Running - from line-item dataflows to DTP and process chain execution.
- Central hosting on SAP BTP: One deployment for multiple AI clients, with role-based access, per-user authentication, and no local SAP credentials required.
- Real-World Customer Use Case 1: How AI agents automatically reconstruct grown ABAP exit logic into modern AMDP routines and lookup aDSOs.
- Real-World Customer Use Case 2: Automated, AI-supported migration toolchains from SAP BW to SAP Datasphere using interactive lineage graphs.
- Context Engineering: How a versioned knowledge base provides context for the agent – from naming conventions to project-specific knowledge.

Request the presentation for free now
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