Assess whether deprecation of a legacy scorecard creates a governance gap
August 31, 2026 · SmartSolo
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.
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