Assess whether a split between models is a review queue or noise (68ab94)

Situation

The desk packet is agent permissioning that allows external side effects after two production models recommending opposite actions on the same 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 two production models recommending opposite actions on the same file.

Hypotheses to test

• Multi-model reconciliation lead can defend A split between models is a review queue from agent permissioning that allows external side effects after two production models recommending opposite actions on the same file in a AI Governance Layer challenge.
• Multi-model reconciliation lead cannot defend A split between models is a review queue from agent permissioning that allows external side effects; Noise is what the extract actually supports after two production models recommending opposite actions on the same file.
• Two production models recommending opposite actions on the same file never reached the population in agent permissioning that allows external side effects — reopen intake, do not close a split between models.
• Two facts in agent permissioning that allows external side effects after two production models recommending opposite actions on the same file conflict for multi-model reconciliation lead; hold this Lifecycle and Accountability file.

Analysis required

• Test whether two production models recommending opposite actions on the same file changed routing, logging, or human-in-the-loop on the live agent path.
• Score whether the agent action in agent permissioning that allows external side effects was in-policy, out-of-policy, or unlogged.
• Confirm the inventory line still matches the running configuration in a regulated entity that cannot reconstruct last month's decisions.
• For this AI Governance Layer Lifecycle and Accountability file, read agent permissioning that allows external side effects against two production models recommending opposite actions on the same file and write the one fact that would move a split between models for multi-model reconciliation lead.