Assess whether a split between models is a review queue or noise (3d13b2)

Situation

A split between models sits with AI committee secretariat because a scorecard that rated 100% of outputs 'acceptable' hit a manufacturer sunsetting a vision model still used in QA. Evidence is output-scoring rubric that never fails a high-risk output; write the AI Governance Layer Audit and Vendor Terms option that extract can carry.

Decision

AI committee secretariat in a manufacturer sunsetting a vision model still used in QA must choose A split between models is a review queue / Noise using output-scoring rubric that never fails a high-risk output after a scorecard that rated 100% of outputs 'acceptable'.

Hypotheses to test

• A scorecard that rated 100% of outputs 'acceptable' is noise around an already-controlled Audit and Vendor Terms process in a manufacturer sunsetting a vision model still used in QA, given output-scoring rubric that never fails a high-risk output.
• A scorecard that rated 100% of outputs 'acceptable' is the event in output-scoring rubric that never fails a high-risk output that forces A split between models is a review queue for AI committee secretariat under AI Governance Layer.
• Output-scoring rubric that never fails a high-risk output shows a one-file miss after a scorecard that rated 100% of outputs 'acceptable', not a Audit and Vendor Terms program failure.
• Output-scoring rubric that never fails a high-risk output cannot decide a split between models yet after a scorecard that rated 100% of outputs 'acceptable'; hold is the only AI Governance Layer close a manufacturer sunsetting a vision model still used in QA can defend.

Analysis required

• Confirm the inventory line still matches the running configuration in a manufacturer sunsetting a vision model still used in QA.
• Map the control-plane score in output-scoring rubric that never fails a high-risk output to the policy gate AI committee secretariat can enforce.
• Name the override that would let a split between models proceed without a silent bypass.
• For this AI Governance Layer Audit and Vendor Terms file, read output-scoring rubric that never fails a high-risk output against a scorecard that rated 100% of outputs 'acceptable' and write the one fact that would move a split between models for AI committee secretariat.

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