AI Management: Models, Quotas and Guardrails 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 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
- AI Wizard for iDataView
- Table/field recommendations
- BI AI-assisted design
- Module and join suggestions
- Session language-aware texts
- REP AI shortcut texts
Recommended workflow
- 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.
- 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.
Real-world scenario (2020)
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.