Part 3 of the AI Governance Series asks the question every committee eventually hits: who actually owns the system when governance stops being a binder and becomes architecture? Policies and steering committees set intent, but intent without clear ownership, accountable roles, and enforceable controls dissolves at the point of execution.
This piece lays out an operating model that assigns ownership across the layers where AI decisions actually happen — turning governance from a document people reference into a structure the organization runs on.