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
- Module and join suggestions
- Suggested transaction shortcuts
- Human-in-the-loop Test gate
- Safe custom table naming checks
- Session language-aware texts
- REP AI shortcut texts
Recommended workflow
- Run Test (iDataView Test, SQL First Row, API Test Service, or AG scan) before scheduling or publishing.
- Enable monitoring alerts and review dashboard KPIs for the first production cycle.
- Save and capture the generated URL, job ID, or snapshot reference in your change record.
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
Real-world scenario (2026)
BI designer uses AI layout suggestion, then publishes under auth fields — speed without bypassing role review.
Why it matters
AI that skips Test and Activate is a liability; AI that shortens design while humans approve is leverage. iDataEngine keeps the gate, removes the grunt work.
That combination is why enterprises adopt iDataEngine as a lifecycle platform — not a one-off integration tool.