The next frontier is decision quality—not more governance automation.

We have invested in catalogs, policies and pipelines. The unanswered question is whether people and agents make better decisions as a result.

A familiar enterprise disconnect

Three teams can each report a correct number and still make the wrong collective decision. Warehouse stock, available-to-sell stock and finance inventory valuation answer different questions. Governance becomes valuable when the intended decision and context are explicit.

Automate controls, not assumptions

AI agents may accelerate workflows, but they also accelerate the consequences of unclear ownership, business definitions and exception handling. Before an agent acts, ask what evidence it trusts, who owns the outcome and how failures are challenged.

What to measure instead

Beyond catalog coverage or rule counts, measure decision fitness: relevant context, agreed definitions, traceable evidence, timely exceptions and clear accountability. That is where data management becomes business performance.