Assess whether the vendor can be used in a regulated process (d97e49)

SITUATION A board deck that called the system 'fully explainable' put shadow-IT chatbot connected to customer PII in front of EU AI Act implementation manager in a pharma company using LLMs on trial documents. This AI Governance / Bias and Training Data decision is the vendor can be from shadow-IT chatbot connected to customer PII, and the live options are Policy or governance breach, Model defect, Dual failure.

DECISION EU AI Act implementation manager in a pharma company using LLMs on trial documents must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using shadow-IT chatbot connected to customer PII after a board deck that called the system 'fully explainable'.

HYPOTHESES TO TEST 1. Shadow-IT chatbot connected to customer PII reads as Policy or governance breach once a board deck that called the system 'fully explainable' is lined up to the same AI Governance population. 2. Shadow-IT chatbot connected to customer PII is closer to Model defect after a board deck that called the system 'fully explainable'; Policy or governance breach would over-claim this Bias and Training Data extract. 3. Dual failure is still live in shadow-IT chatbot connected to customer PII for EU AI Act implementation manager in a pharma company using LLMs on trial documents. 4. Shadow-IT chatbot connected to customer PII is missing the fact EU AI Act implementation manager needs after a board deck that called the system 'fully explainable'; stop this AI Governance close.

ANALYSIS REQUIRED 1. Walk the model input/output path recorded in shadow-IT chatbot connected to customer PII and mark each hop approved, shadow, or unlogged. 2. Verify data provenance and the human-oversight gate EU AI Act implementation manager can actually point to. 3. Walk the model input/output path recorded in shadow-IT chatbot connected to customer PII and mark each hop approved, shadow, or unlogged. 4. For this AI Governance Bias and Training Data file, read shadow-IT chatbot connected to customer PII against a board deck that called the system 'fully explainable' and write the one fact that would move the vendor can be for EU AI Act implementation manager.

RECOMMENDATION Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Bias and Training Data packet (shadow-IT chatbot connected to customer PII after a board deck that called the system 'fully explainable'). The follow-on Bias and Training Data action is what EU AI Act implementation manager does next: implement the option, assign an owner, and log the missing fact.

COMMAND RETURNS - Bottom-line AI Governance option on the vendor can be, then the evidence in shadow-IT chatbot connected to customer PII, then the action for EU AI Act implementation manager - Hypothesis scorecard against shadow-IT chatbot connected to customer PII: supported / rejected / untestable - What changes the vendor can be 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