Assess whether agents must have a human gate for external actions (9b072e)

Situation

Lifecycle and Accountability work in a regulated entity that cannot reconstruct last month's decisions now turns on agents must have a human gate because a split so frequent that the queue is being auto-cleared put post-deployment monitoring that only tracks uptime in play. Multi-model reconciliation lead should say what post-deployment monitoring that only tracks uptime proves.

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 a split so frequent that the queue is being auto-cleared.

Hypotheses to test

• Multi-model reconciliation lead can defend Policy or governance breach from post-deployment monitoring that only tracks uptime after a split so frequent that the queue is being auto-cleared in a AI Governance Layer challenge.
• Multi-model reconciliation lead cannot defend Policy or governance breach from post-deployment monitoring that only tracks uptime; Model defect is what the extract actually supports after a split so frequent that the queue is being auto-cleared.
• A split so frequent that the queue is being auto-cleared never reached the population in post-deployment monitoring that only tracks uptime — reopen intake, do not close agents must have a human gate.
• Two facts in post-deployment monitoring that only tracks uptime after a split so frequent that the queue is being auto-cleared conflict for multi-model reconciliation lead; hold this Lifecycle and Accountability file.

Analysis required

• Map the control-plane score in post-deployment monitoring that only tracks uptime to the policy gate multi-model reconciliation lead can enforce.
• Name the override that would let agents must have a human gate proceed without a silent bypass.
• Test whether a split so frequent that the queue is being auto-cleared changed routing, logging, or human-in-the-loop on the live agent path.
• For this AI Governance Layer Lifecycle and Accountability file, read post-deployment monitoring that only tracks uptime against a split so frequent that the queue is being auto-cleared and write the one fact that would move agents must have a human gate for multi-model reconciliation lead.