Assess whether the control plane actually controls production traffic (53a100)

SITUATION Decision-audit designer in a firm whose vendor MSA is silent on training rights has one working extract — procurement scorecard that ignores eval datasets — after a split so frequent that the queue is being auto-cleared. If procurement scorecard that ignores eval datasets cannot support the control plane actually, the only defensible AI Governance Layer output is hold.

DECISION Decision-audit designer in a firm whose vendor MSA is silent on training rights must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using procurement scorecard that ignores eval datasets after a split so frequent that the queue is being auto-cleared.

HYPOTHESES TO TEST 1. A split so frequent that the queue is being auto-cleared is noise around an already-controlled Control Plane and Scoring process in a firm whose vendor MSA is silent on training rights, given procurement scorecard that ignores eval datasets. 2. A split so frequent that the queue is being auto-cleared is the event in procurement scorecard that ignores eval datasets that forces Policy or governance breach for decision-audit designer under AI Governance Layer. 3. Procurement scorecard that ignores eval datasets shows a one-file miss after a split so frequent that the queue is being auto-cleared, not a Control Plane and Scoring program failure. 4. Procurement scorecard that ignores eval datasets cannot decide the control plane actually yet after a split so frequent that the queue is being auto-cleared; hold is the only AI Governance Layer close a firm whose vendor MSA is silent on training rights can defend.

ANALYSIS REQUIRED 1. Map the control-plane score in procurement scorecard that ignores eval datasets to the policy gate decision-audit designer can enforce. 2. Name the override that would let the control plane actually proceed without a silent bypass. 3. Test whether a split so frequent that the queue is being auto-cleared changed routing, logging, or human-in-the-loop on the live agent path. 4. For this AI Governance Layer Control Plane and Scoring file, read procurement scorecard that ignores eval datasets against a split so frequent that the queue is being auto-cleared and write the one fact that would move the control plane actually for decision-audit designer.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Control Plane and Scoring packet (procurement scorecard that ignores eval datasets after a split so frequent that the queue is being auto-cleared). Lead with the AI Governance Layer option procurement scorecard that ignores eval datasets can support after a split so frequent that the queue is being auto-cleared, then the two facts that force it, then the Monday action for decision-audit designer in a firm whose vendor MSA is silent on training rights.