AI for Custom Z*/Y* Tables — Safely — Deep Dive 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 usage is governed centrally with model and quota controls, and every recommendation respects your organization's data boundaries and session language.
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
- BI AI-assisted design
- Safe custom table naming checks
- Module and join suggestions
- Session language-aware texts
- AI management quotas
- Table/field recommendations
Recommended workflow
- Open the relevant cockpit (iDataView Explorer, SQL Project, API Service Detail, or AccessGuard).
- 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.
- Extend the same definition to the next channel (API, SQL, MF, BI) without redesigning from scratch.
Real-world scenario (2025)
BI designer uses AI layout suggestion, then publishes under auth fields — speed without bypassing role review.
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.
The competitive edge is not more developers; it is removing wait states between idea, data, and delivery.