AI-ready data modeling: from raw tables to a trusted agent data layer
An AI-ready model must be queryable, explain relationships, enforce permissions, expose business semantics, and remain reusable.
Separate raw and analytical layers
Operational tables preserve source facts but are not always safe for direct AI queries. Clean, standardize, and model stable analytical objects and result tables.
Define entities, relationships, and grain
Customers, orders, products, and stores need clear keys. Relationships must state cardinality and time validity to prevent duplicate aggregation.
Build quality and permissions into the model
Continuously check missing, duplicate, and anomalous data. Define row, field, and organization access before the model is delivered to AI.
Validate with business questions
Use a standard set of real questions to verify metrics, details, and explanations before publishing the model to AskTable or another enterprise agent.