Resource Hub
AI Governance Templates
A curated library of implementable policy templates that align with the EU AI Act, ISO 42001, and NIST AI RMF. Designed for modern governance teams that need to move fast while staying compliant.
Model Approval and Release Policy
Describes the approvals required before AI models are promoted to production.
When to use: Apply to every model release pipeline.
AI Procurement Policy
Adds AI due diligence to sourcing and vendor selection workflows.
When to use: During RFPs that include AI components.
AI Vendor Risk Policy
Extends third-party risk reviews with AI-specific clauses.
When to use: For SaaS vendors embedding AI.
RLHF and Fine Tuning Policy
Controls for reinforcement learning with human feedback and fine tuning data quality.
When to use: Before adapting foundation models.
AI Performance Monitoring Policy
Explains how models are monitored, alerted, and retrained post launch.
When to use: Activate right after go-live for every production model.
Model Deployment and Change Management Policy
Explains the change-control process for AI deployments.
When to use: First deployment and every material change.
AI Ethical Use Charter
Defines prohibited AI behaviors and acceptable-use boundaries.
When to use: Give to employees and vendors as part of onboarding.
Shadow AI Detection and Reporting Policy
Requires teams to report unsanctioned AI tools and sets remediation steps.
When to use: Continuously enforce across enterprise.
Biometric Identification AI Policy
Guides biometric matching, access control, and surveillance deployments.
When to use: Security or public safety teams using biometrics.