SAP + AI Architecture
Browse practical Architecture guidance in SAP + AI, organized for implementation, configuration and technical reference.
What this hub covers
Architecture is a defined knowledge area within SAP + AI. This hub brings its published guides into one permanent, crawlable destination so practitioners can move from foundational concepts to configuration and operational detail without relying on a search-results page. Use the curated starting points first, then continue through the complete library for deeper implementation context.
Recommended foundations
The clearest entry points, ordered by practical usefulness.
Can Agentic AI Change FI-CA Collections?
Where autonomous workflows can help FI-CA collections, where humans remain essential and which controls should come first.
Read guide →SAP FI-CA Payment Clarification Agent: A Step-by-Step POC
A local, fictional FI-CA-style payment clarification simulation: transparent matching rules, a separate review log, and tests that reject forged...
Read guide →From AI Demo to Enterprise POC: Access, Logging and Approval
Turn the payment simulation into a reviewable POC package: boundary map, negative-path tests, a failure drill, a gap list and a go/no-go form.
Read guide →Build a SAP Knowledge Assistant with Sample Documents
Adapt a small retrieval assistant to fictional SAP training notes, cite source IDs, and test that it refuses to invent transaction codes or live...
Read guide →All guides in this topic
Can Agentic AI Change FI-CA Collections?
Where autonomous workflows can help FI-CA collections, where humans remain essential and which controls should come first.
SAP FI-CA Payment Clarification Agent: A Step-by-Step POC
A local, fictional FI-CA-style payment clarification simulation: transparent matching rules, a separate review log, and tests that reject forged...
From AI Demo to Enterprise POC: Access, Logging and Approval
Turn the payment simulation into a reviewable POC package: boundary map, negative-path tests, a failure drill, a gap list and a go/no-go form.
Build a SAP Knowledge Assistant with Sample Documents
Adapt a small retrieval assistant to fictional SAP training notes, cite source IDs, and test that it refuses to invent transaction codes or live...
Test Your AI Assistant: Accuracy, Cost and Failure Cases
Create an offline baseline for payment rules, record model runs separately, and estimate API cost from returned usage. No accuracy claims.
Build an AI Agent That Uses Tools and Asks for Approval
Build a two-request Python agent that calls one tool, returns a schema-checked payment proposal, and waits for a human decision. Simulation only.
MCP Explained: Connect an AI Assistant to a Sample Tool
Build a small read-only MCP server in Python, connect it to Claude Code over stdio, and inspect a real tool call for a fictional case.