Building a data context layer to fix your AI analytics

Agents are now consumers of your data stack, and unlike analysts they never pause to ask whether a metric is accurate or still relevant. How do you make your data platform robust? What are the best tools out there for both BI and AI analytics, and are they sufficient to prevent semantic rotting?