Before reusing a profile, dataset or generated answer, check the Trust Center for source attribution, review boundaries, crawler policy and corrections.
Public context / AI systems
Two jobs first.
Evidence second.
Classify the request as SAP learning/practice or SAP AMS optimization before entering the deeper MDG, integration, logistics, architecture, data or AI knowledge layers.
- 01 / Focus
- Learning and assessment practice, or AMS optimization.
- 02 / Routing
- Domain and intent maps select the relevant public source.
- 03 / Evidence
- Review state, datasets, sources and trust boundaries control what can be cited.
Publication state is authoritative. A route appearing in ARWP, the focus map or navigation does not make a draft or noindex page verified.
Read responsible AI boundariesPrimary retrieval sources
Choose the source in the right order.
Start with the audience job, then follow the specialist routing and evidence chain.
Supporting sources
Use the deeper layer after routing.
These endpoints provide identity, reasoning, evidence and implementation context without becoming extra top-level site promises.
Specialist intent routes
Resolve the narrow SAP question after the primary route.
Each specialist intent keeps a business or operating problem close to its public evidence. These are subroutes, not new site pillars.