Building an Agent-Ready Data Warehouse: What Traditional Architectures Do Wrong

Giving an AI agent access to a data warehouse doesn't make it agent-ready. The core problem is that warehouses expose queryable data but not the business rules needed to interpret it correctly — leading to valid SQL producing wrong decisions. The post introduces the concept of a 'decision contract' that specifies approved data sources, metric definitions, freshness requirements, completeness checks, and action boundaries. It also recommends placing a semantic interface in front of raw tables, adding a query execution safety layer, separating recommendation from action using least-privilege principles, and capturing full interaction traces rather than just SQL logs. The practical advice is to start with a single, well-scoped decision rather than exposing the entire warehouse to agents.

Source: https://towardsdatascience.com/building-an-agent-ready-data-warehouse-what-traditional-architectures-do-wrong. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.