AI governance built for real operations, not compliance theater.
A five-pillar governance framework derived from twenty years in regulated insurance operations, adapted to prevent data leakage and vendor sprawl.
The Five Pillars of AI Governance
Data Handling & Boundaries
Explicit classification of customer data, PII, and proprietary IP. Strict prohibition against unmonitored consumer LLM ingest.
Tool Approval Process
A defined vendor evaluation checklist that prices exit costs, terms of service changes, and model deprecation risks before signing.
Review Cadence
Quarterly audits of model output accuracy, prompt drift, and system logs to ensure automated workflows stay within compliance boundaries.
Ownership & Accountability
Every AI deployment must have a single named operational owner responsible for oversight, error resolution, and ROI validation.
Risk Tiering
Differentiating low-risk internal drafting from high-consequence customer-facing actions with human-in-the-loop controls.
One-Page Policy Template
Download our clean, adaptable one-page AI usage policy for immediate internal deployment.