AI Governance Policy Builder

Draft a practical governance policy for AI model usage, monitoring, and compliance operations.

# AI Governance Policy - Your Company

## 1) Scope and Ownership
- Policy owner: AI Governance Committee
- Covered use cases: Support automation, internal copilots

## 2) Data Handling Rules
- Data class: sensitive
- Require data minimization and prompt redaction before model calls
- Restrict log retention to approved business need window

## 3) Model Usage Policy
- Model routing rule: Use lower-cost models by default and escalate to premium for high-complexity requests.
- Production changes require documented impact review
- High-risk tasks require fallback and escalation path

## 4) Security and Monitoring
- Define access control and least-privilege model keys
- Track cost, quality, and policy violations in one dashboard
- Trigger incident workflow on abnormal output or spend spikes

## 5) Review and Change Management
- Policy review cadence: Monthly
- Maintain versioned change log with approvers
- Run quarterly tabletop review for incident readiness

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