Assess whether disagreement should block, queue, or log (3ca9f1)

SITUATION An agent that refunded customers above its limit raised whether disagreement should block, queue, or log for model-deprecation manager at a bank running three models on the same credit file. Deprecation plan for a model still in a batch job is incomplete relative to that question, so Hold remains live until the file is complete.

DECISION Model-deprecation manager in a bank running three models on the same credit file must choose Disagreement should block, queue, / Log using deprecation plan for a model still in a batch job after an agent that refunded customers above its limit.

HYPOTHESES TO TEST 1. Authorize Disagreement should block, queue, now; deprecation plan for a model still in a batch job already has the discriminator after an agent that refunded customers above its limit. 2. Keep Log in force until deprecation plan for a model still in a batch job is completed after an agent that refunded customers above its limit for model-deprecation manager. 3. Treat deprecation plan for a model still in a batch job as Disagreement should block, queue, because both readings appear after an agent that refunded customers above its limit. 4. Refuse a AI Governance Layer close: model-deprecation manager does not have the decision disagreement should block, queue, turns on in deprecation plan for a model still in a batch job.

ANALYSIS REQUIRED 1. Name the override that would let disagreement should block, queue, proceed without a silent bypass. 2. Test whether an agent that refunded customers above its limit changed routing, logging, or human-in-the-loop on the live agent path. 3. Score whether the agent action in deprecation plan for a model still in a batch job was in-policy, out-of-policy, or unlogged. 4. For this AI Governance Layer Lifecycle and Accountability file, read deprecation plan for a model still in a batch job against an agent that refunded customers above its limit and write the one fact that would move disagreement should block, queue, for model-deprecation manager.

RECOMMENDATION Choose Disagreement should block, queue, / Log on this AI Governance Layer / Lifecycle and Accountability packet (deprecation plan for a model still in a batch job after an agent that refunded customers above its limit). The follow-on Lifecycle and Accountability action is what model-deprecation manager does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance Layer option on disagreement should block, queue,, then the evidence in deprecation plan for a model still in a batch job, then the action for model-deprecation manager - Hypothesis scorecard against deprecation plan for a model still in a batch job: supported / rejected / untestable - Missing page in deprecation plan for a model still in a batch job after an agent that refunded customers above its limit, if any - Regulatory or exam hook Lifecycle and Accountability would cite