Assess whether a split between models is a review queue or noise (8002f3)

Situation

Model-deprecation manager owns a split between models inside a bank running three models on the same credit file with vendor MSA clauses on training, indemnity, and subprocessors as the only packet. Two production models recommending opposite actions on the same file is what changed the clock for this AI Governance Layer Lifecycle and Accountability file.

Decision

Model-deprecation manager in a bank running three models on the same credit file must choose A split between models is a review queue / Noise using vendor MSA clauses on training, indemnity, and subprocessors after two production models recommending opposite actions on the same file.

Hypotheses to test

• Authorize A split between models is a review queue now; vendor MSA clauses on training, indemnity, and subprocessors already has the discriminator after two production models recommending opposite actions on the same file.
• Keep Noise in force until vendor MSA clauses on training, indemnity, and subprocessors is completed after two production models recommending opposite actions on the same file for model-deprecation manager.
• Treat vendor MSA clauses on training, indemnity, and subprocessors as A split between models is a review queue because both readings appear after two production models recommending opposite actions on the same file.
• Refuse a AI Governance Layer close: model-deprecation manager does not have the page a split between models turns on in vendor MSA clauses on training, indemnity, and subprocessors.

Analysis required

• Map the control-plane score in vendor MSA clauses on training, indemnity, and subprocessors to the policy gate model-deprecation manager can enforce.
• Name the override that would let a split between models proceed without a silent bypass.
• 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.
• For this AI Governance Layer Lifecycle and Accountability file, read vendor MSA clauses on training, indemnity, and subprocessors against two production models recommending opposite actions on the same file and write the one fact that would move a split between models for model-deprecation manager.

Recommendation