Assess whether the system is high-risk under the EU AI Act (5da2c0)

SITUATION Exam-readiness coordinator is responsible for the system is high-risk in a hospital deploying a sepsis-risk model, using post-deployment drift report the owner never signed as the only working extract. A near-miss where an agent emailed a customer unreviewed is what reset the timeline for this AI Governance Policy and Oversight file.

DECISION Exam-readiness coordinator in a hospital deploying a sepsis-risk model must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using post-deployment drift report the owner never signed after a near-miss where an agent emailed a customer unreviewed.

HYPOTHESES TO TEST 1. Post-deployment drift report the owner never signed reads as Policy or governance breach once a near-miss where an agent emailed a customer unreviewed is lined up to the same AI Governance population. 2. Post-deployment drift report the owner never signed is closer to Model defect after a near-miss where an agent emailed a customer unreviewed; Policy or governance breach would over-claim this Policy and Oversight extract. 3. Dual failure is still live in post-deployment drift report the owner never signed for exam-readiness coordinator in a hospital deploying a sepsis-risk model. 4. Post-deployment drift report the owner never signed is missing the fact exam-readiness coordinator needs after a near-miss where an agent emailed a customer unreviewed; stop this AI Governance close.

ANALYSIS REQUIRED 1. Map the approved-use case to the system the system is high-risk would bind. 2. Check intended purpose and inventory status against EU AI Act / exam-readiness language after a near-miss where an agent emailed a customer unreviewed. 3. Map the approved-use case to the system the system is high-risk would bind. 4. For this AI Governance Policy and Oversight file, read post-deployment drift report the owner never signed against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move the system is high-risk for exam-readiness coordinator.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Policy and Oversight packet (post-deployment drift report the owner never signed after a near-miss where an agent emailed a customer unreviewed). If post-deployment drift report the owner never signed cannot force a AI Governance label under Policy and Oversight, stop. Do not invent missing evidence a hospital deploying a sepsis-risk model does not have.

COMMAND RETURNS - Bottom-line AI Governance option on the system is high-risk, then the evidence in post-deployment drift report the owner never signed, then the action for exam-readiness coordinator - Hypothesis scorecard against post-deployment drift report the owner never signed: supported / rejected / untestable - Missing page in post-deployment drift report the owner never signed after a near-miss where an agent emailed a customer unreviewed, if any - Regulatory or exam hook Policy and Oversight would cite