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.
Innovation here means shorter design cycles, not unreviewed code in production.
Capabilities you use in iDataEngine
- Suggested transaction shortcuts
- Human-in-the-loop Test gate
- Session language-aware texts
- Module and join suggestions
- REP AI shortcut texts
- BI AI-assisted design
Recommended workflow
- Run Test (iDataView Test, SQL First Row, API Test Service, or AG scan) before scheduling or publishing.
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
- Save and capture the generated URL, job ID, or snapshot reference in your change record.
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
Real-world scenario (2024)
An analyst describes a stock aging report in plain language; AI Wizard proposes tables and joins — consultant adjusts conditions, Test passes, Activate ships.
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.