Where AI Helps — and Where Config Wins addresses a problem most SAP landscapes know too well: Generic AI hype falls flat in SAP without recommendations grounded in your real tables and a human approval step before anything goes live.
AI usage is governed centrally with model and quota controls, and every recommendation respects your organization's data boundaries and session language.
Innovation here means shorter design cycles, not unreviewed code in production.
Capabilities you use in iDataEngine
- Human-in-the-loop Test gate
- AI management quotas
- BI AI-assisted design
- Safe custom table naming checks
- Session language-aware texts
- Suggested transaction shortcuts
Recommended workflow
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
- Run Test (iDataView Test, SQL First Row, API Test Service, or AG scan) before scheduling or publishing.
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
Real-world scenario (2023)
BI designer uses AI layout suggestion, then publishes under auth fields — speed without bypassing role review.
Why it matters
Quotas and admin controls let enterprises adopt AI without adoption becoming unbounded experiment cost.
The competitive edge is not more developers; it is removing wait states between idea, data, and delivery.