Assess whether the control plane actually controls production traffic (15226a)

SITUATION A scorecard that rated 100% of outputs 'acceptable' put agent permissioning that allows external side effects in front of enterprise AI control-plane owner in a bank running three models on the same credit file. This AI Governance Layer / Control Plane and Scoring decision is the control plane actually from agent permissioning that allows external side effects, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION Enterprise AI control-plane owner in a bank running three models on the same credit file must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using agent permissioning that allows external side effects after a scorecard that rated 100% of outputs 'acceptable'.

HYPOTHESES TO TEST 1. Enterprise AI control-plane owner can defend Policy or governance breach from agent permissioning that allows external side effects after a scorecard that rated 100% of outputs 'acceptable' in a AI Governance Layer challenge. 2. Enterprise AI control-plane owner cannot defend Policy or governance breach from agent permissioning that allows external side effects; Model defect is what the extract actually supports after a scorecard that rated 100% of outputs 'acceptable'. 3. A scorecard that rated 100% of outputs 'acceptable' never reached the population in agent permissioning that allows external side effects — reopen intake, do not close the control plane actually. 4. Two facts in agent permissioning that allows external side effects after a scorecard that rated 100% of outputs 'acceptable' conflict for enterprise AI control-plane owner; hold this Control Plane and Scoring file.

ANALYSIS REQUIRED 1. Name the override that would let the control plane actually 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 agent permissioning that allows external side effects was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Control Plane and Scoring file, read agent permissioning that allows external side effects against a scorecard that rated 100% of outputs 'acceptable' and write the one fact that would move the control plane actually 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 / Control Plane and Scoring packet (agent permissioning that allows external side effects after a scorecard that rated 100% of outputs 'acceptable'). The follow-on Control Plane and Scoring action is what enterprise AI control-plane owner does next: implement the option, assign an owner, and log the missing fact.