From Policy Document to Runtime Control

An AI governance team may have hundreds of policies, controls and review requirements. The organization knows what its AI systems are supposed to do — the harder problem is proving that those requirements affect live decisions.

A governance requirement connects as Policy → Decision Contract → Transformation Tests → Evidence → Runtime Control. If policy states that a payment above a threshold requires additional authorization, AnantVerify can test cases immediately below and above that boundary, verify the required authorization state exists, and prevent execution when it is absent.

Governance moves from “we have a policy requiring this” to: here is the decision requirement, here are the tests demonstrating its behavior, here is the evidence from this transaction, and here is the control that prevented execution when the requirement was not met.