SAP Business AI Architecture — Interactive Learning Guide

From user intent to governed AI action — an interactive single-page learning guide to the SAP Business AI reference architecture for AI architects, built as one self-contained index.html with zero dependencies.

SAP Architecture Center · SAP Business AI · Source study conversation

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🚀 Quick start

No build step, no server, no dependencies (diagrams are inlined):

start index.html        # Windows
open index.html         # macOS

Or serve it (e.g. for GitHub Pages):

python -m http.server 8000
# → http://localhost:8000

✨ What's inside

Section	What it covers
Knowledge Map	The six-domain learning path: strategic foundations → reference architecture → agentic AI & Joule → data & semantics → hybrid & platform → enablement & governance
Four Layers	The reference-architecture diagram plus a clickable deep dive per layer (user experience, process, foundation, platform) and the RA0005 build-lane components (CAP, GenAI Hub, orchestration pipeline, HANA Cloud engines)
Request Lifecycle	Press ▶ and trace "Show me all overdue invoices for customer ACME" through all four layers — five governance checkpoints light up as it runs
Stack vs Factory	The SAP Business AI stack vs. an enterprise AI factory, layer by layer, with the three interoperability seams (A2A, partner models, Delta Sharing) and the three-lane build decision
Edge Integration Cell	A tabbed before/after: cloud-only integration vs. EIC's cloud-designed, sovereignly-executed split, plus the five strategic use cases
Readiness	The Joule integration preparation sequence — identity first, and the one diagnostic question that predicts project difficulty

Extras: light/dark theme toggle (remembers your choice), embedded architecture diagrams, animated lifecycle trace, hover-free tabbed views, fully responsive.

🧭 The core ideas

• The architecture is a communication tool first — four layers giving business and technical stakeholders a shared language for placing any AI capability.
• AI augments the governed process, never a parallel path — embedded AI and Joule Agents stay anchored in SAP's standard end-to-end business flows.
• Grounding and model access share one perimeter — HANA Cloud Vector Engine, Business Data Cloud, and Knowledge Graph sit beside the Generative AI Hub, so retrieval and invocation are governed together.
• Identity precedes retrieval — IAS/IPS gate every request before data moves; access control is a precondition, not an output filter.
• Control plane vs. execution plane — the repeated SAP pattern: governance centralizes (Agent Hub, Integration Suite design time), while data and execution stay sovereign (Delta Sharing, Edge Integration Cell).
• Three lanes, not two — extend Joule, build on RA0005 inside SAP governance, or build in the external AI factory and connect via the A2A / Delta Sharing seams.

📄 Attribution & license

Content and diagrams are derived from an SAP Business AI study conversation with Claude (Anthropic), shared by the author, which synthesizes SAP enablement materials — including SAP Architecture Center reference architectures (RA0005 Generative AI on SAP BTP, RA0024 Integrating and Extending Joule) and SAP Learning content. SAP, S/4HANA, SAP BTP, Joule, SAP HANA, and Fiori are trademarks of SAP SE. This unofficial guide is provided as-is for educational use and is not affiliated with or endorsed by SAP SE or Anthropic.