Assess whether procurement should fail a vendor lacking eval rights (ed77d9)

SITUATION Multi-model reconciliation lead in an enterprise that just bought an AI 'control plane' vendor has one working extract — procurement scorecard that ignores eval datasets — after a scorecard that rated 100% of outputs 'acceptable'. If procurement scorecard that ignores eval datasets cannot support procurement should fail a, the only defensible AI Governance Layer output is hold.

DECISION Multi-model reconciliation lead in an enterprise that just bought an AI 'control plane' vendor 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 multi-model reconciliation lead. 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: multi-model reconciliation lead does not have the decision procurement should fail a turns on in procurement scorecard that ignores eval datasets.

ANALYSIS REQUIRED 1. Score whether the agent action in procurement scorecard that ignores eval datasets was in-policy, out-of-policy, or unlogged. 2. Confirm the inventory line still matches the running configuration in an enterprise that just bought an AI 'control plane' vendor. 3. Map the control-plane score in procurement scorecard that ignores eval datasets to the policy gate multi-model reconciliation lead can enforce. 4. For this AI Governance Layer Audit and Vendor Terms 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 procurement should fail a for multi-model reconciliation lead.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance Layer / Audit and Vendor Terms packet (procurement scorecard that ignores eval datasets after a scorecard that rated 100% of outputs 'acceptable'). Lead with the AI Governance Layer option procurement scorecard that ignores eval datasets can support after a scorecard that rated 100% of outputs 'acceptable', then the two facts that force it, then the Monday action for multi-model reconciliation lead in an enterprise that just bought an AI 'control plane' vendor.