The Problem
AI now sits inside regulated decisions.
Institutions are expected to demonstrate oversight, traceability and control under examination.
Most have the intent. Few have a defensible method — one that holds its shape when a regulator, an auditor or a board asks, after the fact, how a specific automated decision was governed.
That gap rarely shows until it is tested. When an institution cannot reconstruct how a decision was reached and overseen, the examination turns adversarial: the weakness is found rather than disclosed, remediation happens under supervisory pressure rather than on the institution's own terms, and a position that could have been defended becomes one that must be explained. A defensible method is what turns that moment from exposure into evidence.