BasicAgent
AI Governance Policy for LLM Systems
AI Governance Policy for LLM Systems — A minimal, build-friendly governance policy for teams shipping agent workflows: roles, review gates, logging, evaluation, and incident response.
Enterprise buyers don’t want abstract governance. They want to know:
- who owns the workflow
- how changes are reviewed
- what gets logged
- how you evaluate and rollback
- how you handle sensitive data
Minimal viable controls (that don’t slow teams to a halt)
- System inventory
- what workflows exist, what they do, who owns them
- Data handling
- allowed inputs, redaction rules, retention
- Change management
- versioning for prompts/models/tools, approvals for high-risk changes
- Logging + auditability
- run IDs, stage logs, evidence bundles for key outputs
- Evaluation
- golden sets, regression gates, drift monitoring
- Incident response
- escalation path, rollback, postmortems
Download a policy template (Markdown): /tools/ai-governance-policy-template/
Related: /ai-governance-framework/