About this resource
A five-resource starter pack for AI audit and assurance teams. Review audit quality, fairness, model changes, validation and deployment readiness.
How this resource helps
Review Audit Work Quality
Use a structured quality review checklist to examine the completeness and traceability of AI audit work.
Assess Fairness And Bias
Use focused audit procedures to examine fairness metrics, testing evidence and mitigation records.
Control Changes And Validation
Track model changes and revalidation while gathering pre-release testing evidence.
Strengthen Go-Live Assurance
Work through a pre-deployment audit checklist with more than 60 control points before release.
What's included
Five resources: AI Audit Quality Review Checklist; AI Bias & Fairness Audit Checklist; AI Model Change Management Checklist & Revalidation Tracker; AI Model Validation & Testing Evidence Checklist; AI System Pre-Deployment Audit Checklist (60+ Controls).
Who it's for
Teams building a repeatable, evidence-based AI audit and assurance workflow.
AI auditors, assurance practitioners, model risk managers, AI governance leads, compliance teams and internal auditors