Assess whether the control plane actually controls production traffic (8dac79)

SITUATION Decision-audit designer is responsible for the control plane actually in a company whose agents can send email without a gate, using procurement scorecard that ignores eval datasets as the only working extract. A scorecard that rated 100% of outputs 'acceptable' is what reset the timeline for this AI Governance Layer Lifecycle and Accountability file.

DECISION Decision-audit designer in a company whose agents can send email without a gate must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using procurement scorecard that ignores eval datasets after a scorecard that rated 100% of outputs 'acceptable'.

HYPOTHESES TO TEST 1. Authorize Policy or governance breach now; procurement scorecard that ignores eval datasets already has the discriminator after a scorecard that rated 100% of outputs 'acceptable'. 2. Keep Model defect in force until procurement scorecard that ignores eval datasets is completed after a scorecard that rated 100% of outputs 'acceptable' for decision-audit designer. 3. Treat procurement scorecard that ignores eval datasets as Dual failure because both readings appear after a scorecard that rated 100% of outputs 'acceptable'. 4. Refuse a AI Governance Layer close: decision-audit designer does not have the decision the control plane actually turns on in procurement scorecard that ignores eval datasets.

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 scorecard that rated 100% of outputs 'acceptable' changed routing, logging, or human-in-the-loop on the live agent path. 4. For this AI Governance Layer Lifecycle and Accountability file, read procurement scorecard that ignores eval datasets against a scorecard that rated 100% of outputs 'acceptable' 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 / Lifecycle and Accountability packet (procurement scorecard that ignores eval datasets after a scorecard that rated 100% of outputs 'acceptable'). The follow-on Lifecycle and Accountability action is what decision-audit designer does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance Layer option on the control plane actually, then the evidence in procurement scorecard that ignores eval datasets, then the action for decision-audit designer - Hypothesis scorecard against procurement scorecard that ignores eval datasets: supported / rejected / untestable - Missing page in procurement scorecard that ignores eval datasets after a scorecard that rated 100% of outputs 'acceptable', if any - Regulatory or exam hook Lifecycle and Accountability would cite