AI Governance Framework Template
9/1/2025
A durable AI governance program starts with clarity of scope and staged maturity milestones. We implement a layered framework:
1. Foundation: inventory of AI use cases, data lineage mapping, and initial risk register creation. 2. Policy Layer: model usage standards, acceptable prompt guidelines, escalation playbook, and retention matrix. 3. Controls & Tooling: monitoring hooks for prompt/response logging, redaction modules, evaluation harnesses, and drift alerts. 4. Metrics & Reporting: scenario pass rate, hallucination exception frequency, data exposure avoidance, and control adoption coverage. 5. Optimization: quarterly risk review integrating new regulatory or contractual obligations.
Each layer is documented as versioned artifacts enabling auditability and continuous improvement. We advocate a living model card plus decision log to preserve organizational memory.