AI for Custom Z*/Y* Tables — Safely 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 management quotas
- Safe custom table naming checks
- Human-in-the-loop Test gate
- Suggested transaction shortcuts
- Table/field recommendations
- Module and join suggestions
Recommended workflow
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
- Run Test (iDataView Test, SQL First Row, API Test Service, or AG scan) before scheduling or publishing.
- Save and capture the generated URL, job ID, or snapshot reference in your change record.
Real-world scenario (2025)
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.