Assess whether deprecation of a legacy scorecard creates a governance gap

Situation

Deprecation of a legacy sits with model-risk officer because a near-miss where an agent emailed a customer unreviewed hit a university licensing an AI proctoring vendor. Evidence is agentic-workflow permission matrix; write the AI Governance Policy and Oversight option that extract can carry.

Decision

Model-risk officer in a university licensing an AI proctoring vendor must choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact using agentic-workflow permission matrix after a near-miss where an agent emailed a customer unreviewed.

Hypotheses to test

• Authorize Policy or governance breach now; agentic-workflow permission matrix already has the discriminator after a near-miss where an agent emailed a customer unreviewed.
• Keep Model defect in force until agentic-workflow permission matrix is completed after a near-miss where an agent emailed a customer unreviewed for model-risk officer.
• Treat agentic-workflow permission matrix as Dual failure because both readings appear after a near-miss where an agent emailed a customer unreviewed.
• Refuse a AI Governance close: model-risk officer does not have the page deprecation of a legacy turns on in agentic-workflow permission matrix.

Analysis required

• Verify data provenance and the human-oversight gate model-risk officer can actually point to.
• Walk the model input/output path recorded in agentic-workflow permission matrix and mark each hop approved, shadow, or unlogged.
• Verify data provenance and the human-oversight gate model-risk officer can actually point to.
• For this AI Governance Policy and Oversight file, read agentic-workflow permission matrix against a near-miss where an agent emailed a customer unreviewed and write the one fact that would move deprecation of a legacy for model-risk officer.

Recommendation

Choose Policy or governance breach / Model defect / Dual failure / Hold for the missing fact on this AI Governance / Policy and Oversight packet (agentic-workflow permission matrix after a near-miss where an agent emailed a customer unreviewed). The follow-on Policy and Oversight action is what model-risk officer does next: implement the option, assign an owner, and log the missing fact.

Command returns

• Bottom-line AI Governance option on deprecation of a legacy, 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
• Policy and Oversight finding in agentic-workflow permission matrix that a second reviewer can re-perform
• Missing page in agentic-workflow permission matrix after a near-miss where an agent emailed a customer unreviewed, if any