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
- Suggested transaction shortcuts
- AI management quotas
- BI AI-assisted design
- AI Wizard for iDataView
- Table/field recommendations
- Session language-aware texts
Recommended workflow
- 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.
- Save and capture the generated URL, job ID, or snapshot reference in your change record.
- Configure source objects, fields, mappings, or rules using session language and customer/system context.
Real-world scenario (2022)
BI designer uses AI layout suggestion, then publishes under auth fields — speed without bypassing role review.
Why it matters
Quotas and admin controls let enterprises adopt AI without adoption becoming unbounded experiment cost.
The competitive edge is not more developers; it is removing wait states between idea, data, and delivery.