Natural Language Intent to ABAP-Ready Designs 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
- Safe custom table naming checks
- Session language-aware texts
- Table/field recommendations
- Module and join suggestions
- AI management quotas
- AI Wizard for iDataView
Recommended workflow
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
- 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.
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
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.
Innovation here means business sees results faster — IT keeps control because every step is configured, tested, and monitored.