This paper describes the minimum characteristics of an evidentiary control mechanism for AI systems operating in regulated environments. It defines when AI outputs become record-relevant, specifies the evidence objects required to make those outputs reconstructable, and outlines an operating model that distributes accountability across legal, compliance, risk, product, and operational functions.