Why AI Agents Need a Semantic Layer for Consistent Data

AI agents querying data warehouses via text-to-SQL often produce inconsistent answers due to lack of shared business logic. A semantic layer enforces governed metrics, access control, and audit trails, ensuring every consumer gets the same correct result. This approach, long used in BI, is now critical as AI agents amplify data interpretation problems.