Why Traditional Data Warehouses Fail Agent‑Driven AI
AI agents can write correct SQL but still make bad decisions because warehouses don’t embed business rules, metric definitions, or data provenance. Traditional schemas expose types but hide nuances like fee inclusion or currency conversion, leaving agents to guess. Without explicit logic, agents risk recommending actions that hurt ROI.