Assess whether the control plane actually controls production traffic (be8628)

SITUATION Post-deployment monitoring that only tracks uptime arrived with drift in a protected class the dashboard does not show. Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions still has an evidence gap on whether the control plane actually controls production traffic.

DECISION Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions must choose Policy or governance breach, Model defect, Dual failure, Hold for the missing fact using post-deployment monitoring that only tracks uptime after drift in a protected class the dashboard does not show. The question on that file is whether the control plane actually controls production traffic.

HYPOTHESES TO TEST 1. Drift in a protected class the dashboard does not show is noise around an already-controlled Lifecycle and Accountability process in a regulated entity that cannot reconstruct last month's decisions, given post-deployment monitoring that only tracks uptime. 2. Drift in a protected class the dashboard does not show is the event in post-deployment monitoring that only tracks uptime that forces Policy or governance breach for multi-model reconciliation lead under AI Governance Layer. 3. Post-deployment monitoring that only tracks uptime shows a one-file miss after drift in a protected class the dashboard does not show, not a Lifecycle and Accountability program failure. 4. Post-deployment monitoring that only tracks uptime cannot decide the control plane actually yet after drift in a protected class the dashboard does not show; hold is the only AI Governance Layer close a regulated entity that cannot reconstruct last month's decisions can defend.

ANALYSIS REQUIRED 1. Name the override that would let the control plane actually proceed without a silent bypass. 2. Test whether drift in a protected class the dashboard does not show changed routing, logging, or human-in-the-loop on the live agent path. 3. Score whether the agent action in post-deployment monitoring that only tracks uptime was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Lifecycle and Accountability file, read post-deployment monitoring that only tracks uptime against drift in a protected class the dashboard does not show and write the one fact that would move the control plane actually for multi-model reconciliation lead.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Lifecycle and Accountability packet (post-deployment monitoring that only tracks uptime after drift in a protected class the dashboard does not show). Lead with the AI Governance Layer option post-deployment monitoring that only tracks uptime can support after drift in a protected class the dashboard does not show, then the two facts that force it, then the Monday action for multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions.