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.
Innovation here means shorter design cycles, not unreviewed code in production.
AI in iDataEngine recommends tables and fields, powers the iDataView Wizard, assists BI view design, and proposes safe custom table structures — always with a human Test and Activate step before anything goes live.
Capabilities you use in iDataEngine
- REP AI shortcut texts
- AI management quotas
- Session language-aware texts
- Table/field recommendations
- Suggested transaction shortcuts
- Module and join suggestions
Recommended workflow
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
- Enable monitoring alerts and review dashboard KPIs for the first production cycle.
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
Real-world scenario (2022)
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.