Assess whether deprecation will strand a downstream process (faade5)

SITUATION Lifecycle and Accountability work in a hospital committee that never records dissent now turns on deprecation will strand a because a scorecard that rated 100% of outputs 'acceptable' put enterprise AI risk register with missing owners in play. Enterprise AI control-plane owner should say what enterprise AI risk register with missing owners proves.

DECISION Enterprise AI control-plane owner in a hospital committee that never records dissent must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using enterprise AI risk register with missing owners after a scorecard that rated 100% of outputs 'acceptable'.

HYPOTHESES TO TEST 1. The population in enterprise AI risk register with missing owners is the one a scorecard that rated 100% of outputs 'acceptable' named, so Policy or governance breach follows for this Lifecycle and Accountability file. 2. The population in enterprise AI risk register with missing owners is adjacent only to a scorecard that rated 100% of outputs 'acceptable'; Model defect is the honest AI Governance Layer call. 3. A hospital committee that never records dissent already contained a scorecard that rated 100% of outputs 'acceptable' before enterprise AI risk register with missing owners arrived; no new Lifecycle and Accountability path. 4. Provenance on enterprise AI risk register with missing owners after a scorecard that rated 100% of outputs 'acceptable' is broken; do not pick Policy or governance breach or Model defect yet.

ANALYSIS REQUIRED 1. Name the override that would let deprecation will strand a proceed without a silent bypass. 2. Test whether a scorecard that rated 100% of outputs 'acceptable' changed routing, logging, or human-in-the-loop on the live agent path. 3. Score whether the agent action in enterprise AI risk register with missing owners was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Lifecycle and Accountability file, read enterprise AI risk register with missing owners against a scorecard that rated 100% of outputs 'acceptable' and write the one fact that would move deprecation will strand a for enterprise AI control-plane owner.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Lifecycle and Accountability packet (enterprise AI risk register with missing owners after a scorecard that rated 100% of outputs 'acceptable'). The follow-on Lifecycle and Accountability action is what enterprise AI control-plane owner does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance Layer option on deprecation will strand a, then the evidence in enterprise AI risk register with missing owners, then the action for enterprise AI control-plane owner - Hypothesis scorecard against enterprise AI risk register with missing owners: supported / rejected / untestable - Lifecycle and Accountability finding in enterprise AI risk register with missing owners that a second reviewer can re-perform - Missing page in enterprise AI risk register with missing owners after a scorecard that rated 100% of outputs 'acceptable', if any