AI assurance resources
AI assurance templates and workbooks.
Download practical Excel tools for documenting AI systems, mapping risks and controls, reviewing human oversight, evaluating evidence, and organizing assurance findings.
Built for governance, technology risk, internal audit, compliance, model risk, and AI assurance teams.
01 / Workbooks
AI assurance workbooks.
Two structured Excel resources cover general AI assurance and AML-focused review. Both organize evidence, review decisions, ownership, and follow-up in a reusable workbook format.
General AI assurance · v2.2.1
AI Assurance Evidence Review Kit
A fourteen-worksheet workbook for reviewing AI claims, risks, controls, evidence, tests and human intervention, then assigning findings and recording decisions. Start Here, Field Guide and a connected Worked Example are included.
Best fit
General AI governance, technology risk, internal audit, model risk, control review, and assurance work focused on a defined AI system or use case.
Core worksheets
- Start Here and Review Brief
- Claims and Risks & Controls
- Evidence and Tests
- Human Oversight
- Findings and Decisions
- Review Summary
- Field Guide, Review Library, Worked Example and Sources & Method
AML assurance · v1.1
AML AI Assurance Evidence Kit
A sixteen-worksheet Excel workbook for reviewing AI-supported AML monitoring and alert prioritization. Connect claims, evidence, tests, human oversight, findings and decisions, with specialist workflow and model/data-change records.
Best fit
AML assurance, compliance review, model governance, internal audit, and teams examining how AI-supported monitoring decisions are documented, reviewed, escalated, and evidenced.
Included in the workbook
- Start Here and Review Brief
- Claims, Risks & Controls, Evidence and Tests
- Human Oversight, Findings and Decisions
- AML Workflow and Model & Data Events
- Review Summary
- Field Guide, 24 AML review prompts, Worked Example and Sources & Method
More AI assurance resources
Guides, research, frameworks, and topic references are in the Evidence Library.