Assess whether a split between models is a review queue or noise (3faa3b)

Situation

Multi-model reconciliation lead owns a split between models inside a regulated entity that cannot reconstruct last month's decisions with procurement scorecard that ignores eval datasets as the only packet. A customer discovering AI copy with no disclosure is what changed the clock 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 procurement scorecard that ignores eval datasets after a customer discovering AI copy with no disclosure.

Hypotheses to test

• The population in procurement scorecard that ignores eval datasets is the one a customer discovering AI copy with no disclosure named, so A split between models is a review queue follows for this Lifecycle and Accountability file.
• The population in procurement scorecard that ignores eval datasets is adjacent only to a customer discovering AI copy with no disclosure; Noise is the honest AI Governance Layer call.
• A regulated entity that cannot reconstruct last month's decisions already contained a customer discovering AI copy with no disclosure before procurement scorecard that ignores eval datasets arrived; no new Lifecycle and Accountability path.
• Provenance on procurement scorecard that ignores eval datasets after a customer discovering AI copy with no disclosure is broken; do not pick A split between models is a review queue or Noise yet.

Analysis required

• Test whether a customer discovering AI copy with no disclosure changed routing, logging, or human-in-the-loop on the live agent path.
• 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.
• For this AI Governance Layer Lifecycle and Accountability file, read procurement scorecard that ignores eval datasets against a customer discovering AI copy with no disclosure and write the one fact that would move a split between models for multi-model reconciliation lead.

Recommendation

Choose A split between models is a review queue / Noise on this AI Governance Layer / Lifecycle and Accountability packet (procurement scorecard that ignores eval datasets after a customer discovering AI copy with no disclosure). The follow-on Lifecycle and Accountability action is what multi-model reconciliation lead does next: implement the option, assign an owner, and log the missing fact.