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 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.
AI usage is governed centrally with model and quota controls, and every recommendation respects your organization's data boundaries and session language.
Capabilities you use in iDataEngine
- BI AI-assisted design
- REP AI shortcut texts
- AI Wizard for iDataView
- AI management quotas
- Table/field recommendations
- Suggested transaction shortcuts
Recommended workflow
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
- Save and capture the generated URL, job ID, or snapshot reference in your change record.
- Enable monitoring alerts and review dashboard KPIs for the first production cycle.
Real-world scenario (2026)
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
Recommendations grounded in your real SAP tables and iDataEngine's own module knowledge beat a generic copilot guessing at table names that don't exist.
That combination is why enterprises adopt iDataEngine as a lifecycle platform — not a one-off integration tool.