AI agents generate probabilistic outputs, not verified facts. Even when responses sound confident, they may be incomplete, outdated, or incorrect. In enterprise processes where correctness matters, outputs must be independently verified against current enterprise ground truth.

Enterprise decisions have real consequences. As AI agents move from generating answers to taking actions, trust can no longer be assumed. Before AI outputs become business decisions or trigger enterprise processes, they must be independently verified.

Enterprise truth doesn't stand still. Policies, contracts, permissions, systems of record, and business rules change continuously. Without continuously validating AI against current enterprise ground truth, errors can quietly propagate through enterprise processes, reports, and decisions long before they're discovered.