Assess whether a split between models is a review queue or noise (2498fe)

Situation

The Lifecycle and Accountability desk packet is agent permissioning that allows external side effects after an examiner asking who authorized last Tuesday's model output. Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions must name A split between models is a review queue or Noise for this AI Governance Layer file. Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions has to name A split between models is a review queue or Noise for this AI Governance Layer Lifecycle and Accountability file.

Decision

Multi-model reconciliation lead in a regulated entity that cannot reconstruct last month's decisions must choose A split between models is a review queue / Noise using agent permissioning that allows external side effects after an examiner asking who authorized last Tuesday's model output.

Hypotheses to test

• Authorize A split between models is a review queue now; agent permissioning that allows external side effects already has the discriminator after an examiner asking who authorized last Tuesday's model output.
• Keep Noise in force until agent permissioning that allows external side effects is completed after an examiner asking who authorized last Tuesday's model output for multi-model reconciliation lead.
• Treat agent permissioning that allows external side effects as A split between models is a review queue because both readings appear after an examiner asking who authorized last Tuesday's model output.
• Refuse a AI Governance Layer close: multi-model reconciliation lead does not have the page a split between models turns on in agent permissioning that allows external side effects.

Analysis required

• Map the control-plane score in agent permissioning that allows external side effects to the policy gate multi-model reconciliation lead can enforce.
• Name the override that would let a split between models proceed without a silent bypass.
• Test whether an examiner asking who authorized last Tuesday's model output changed routing, logging, or human-in-the-loop on the live agent path.
• For this AI Governance Layer Lifecycle and Accountability file, read agent permissioning that allows external side effects against an examiner asking who authorized last Tuesday's model output and write the one fact that would move a split between models for multi-model reconciliation lead.