Assess whether a split between models is a review queue or noise (07e6f0)

Situation

After an agent that refunded customers above its limit, procurement scorecard that ignores eval datasets is what multi-model reconciliation lead can touch in a regulated entity that cannot reconstruct last month's decisions. AI Governance Layer will live with A split between models is a review queue versus Noise on this 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 procurement scorecard that ignores eval datasets after an agent that refunded customers above its limit.

Hypotheses to test

• An agent that refunded customers above its limit is noise around an already-controlled Lifecycle and Accountability process in a regulated entity that cannot reconstruct last month's decisions, given procurement scorecard that ignores eval datasets.
• An agent that refunded customers above its limit is the event in procurement scorecard that ignores eval datasets that forces A split between models is a review queue for multi-model reconciliation lead under AI Governance Layer.
• Procurement scorecard that ignores eval datasets shows a one-file miss after an agent that refunded customers above its limit, not a Lifecycle and Accountability program failure.
• Procurement scorecard that ignores eval datasets cannot decide a split between models yet after an agent that refunded customers above its limit; hold is the only AI Governance Layer close a regulated entity that cannot reconstruct last month's decisions can defend.

Analysis required

• Score whether the agent action in procurement scorecard that ignores eval datasets 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.
• Map the control-plane score in procurement scorecard that ignores eval datasets to the policy gate multi-model reconciliation lead can enforce.
• For this AI Governance Layer Lifecycle and Accountability file, read procurement scorecard that ignores eval datasets against an agent that refunded customers above its limit and write the one fact that would move a split between models for multi-model reconciliation lead.

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