Governance guide
Audit Evidence for AI Controls: A Practical Guide
Learn how to connect AI controls to evidence that an auditor, reviewer, or stakeholder can inspect.
Last updated
2026-09-14
Why evidence matters
A control is a proposed safeguard until there is evidence that it was performed or checked. Audit evidence makes the relationship between a requirement, a control, an owner, and an observed result visible.
Evidence can include an approval record, test result, access review, incident record, monitoring output, or dated decision log. The right evidence depends on the control and the claim being made.
Build a traceable control record
Start with one risk and follow it through the control, owner, evidence, and review cadence. Avoid collecting documents that do not prove anything. The evidence should be proportionate, dated where relevant, and understandable to someone outside the immediate team.
Iteretta's governance curriculum practises control traceability and audit preparation through bounded tasks and structured Hiri feedback.
The control-to-evidence chain
- 01Risk: state the risk the control addresses.
- 02Control: define the action, check, or restriction.
- 03Owner: name who performs or monitors it.
- 04Record: identify the evidence created.
- 05Review: state when the evidence is checked and what happens if it is missing.
Common questions
What makes audit evidence strong?
Strong evidence is relevant to the control, attributable to an owner, sufficiently complete, and available for the period or decision being reviewed. More pages do not automatically make evidence stronger.
Can a learner create audit evidence?
A learner can create a simulated evidence pack or control traceability exercise. It should be labelled as learning work and should not be presented as a live organisational audit.
This resource is maintained by Iteretta. It is educational information, not legal, financial, medical, employment, or other professional advice.