Assess whether the system is high-risk under the EU AI Act after a board deck

SITUATION In a hospital deploying a sepsis-risk model, agentic-workflow permission matrix is the evidence after a board deck that called the system 'fully explainable'. Model-risk officer has to pick Policy or governance breach or Model defect for this AI Governance Bias and Training Data close using agentic-workflow permission matrix.

DECISION Model-risk officer in a hospital deploying a sepsis-risk model must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using agentic-workflow permission matrix after a board deck that called the system 'fully explainable'.

HYPOTHESES TO TEST 1. A board deck that called the system 'fully explainable' is noise around an already-controlled Bias and Training Data process in a hospital deploying a sepsis-risk model, given agentic-workflow permission matrix. 2. A board deck that called the system 'fully explainable' is the event in agentic-workflow permission matrix that forces Policy or governance breach for model-risk officer under AI Governance. 3. Agentic-workflow permission matrix shows a one-file miss after a board deck that called the system 'fully explainable', not a Bias and Training Data program failure. 4. Agentic-workflow permission matrix cannot decide the system is high-risk yet after a board deck that called the system 'fully explainable'; hold is the only AI Governance close a hospital deploying a sepsis-risk model can defend.

ANALYSIS REQUIRED 1. Walk the model input/output path recorded in agentic-workflow permission matrix and mark each hop approved, shadow, or unlogged. 2. Verify data provenance and the human-oversight gate model-risk officer can actually point to. 3. Walk the model input/output path recorded in agentic-workflow permission matrix and mark each hop approved, shadow, or unlogged. 4. For this AI Governance Bias and Training Data file, read agentic-workflow permission matrix against a board deck that called the system 'fully explainable' and write the one fact that would move the system is high-risk for model-risk officer.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (agentic-workflow permission matrix after a board deck that called the system 'fully explainable'). Lead with the AI Governance option agentic-workflow permission matrix can support after a board deck that called the system 'fully explainable', then the two facts that force it, then the Monday action for model-risk officer in a hospital deploying a sepsis-risk model.

COMMAND RETURNS - Bottom-line AI Governance option on the system is high-risk, then the evidence in agentic-workflow permission matrix, then the action for model-risk officer - Hypothesis scorecard against agentic-workflow permission matrix: supported / rejected / untestable - What changes the system is high-risk if a board deck that called the system 'fully explainable' is later withdrawn - Named option among Policy or governance breach, Model defect, Dual failure and the fact that kills the others