Procedure context
Show what was tested, what evidence was reviewed, and which criteria were applied.
AI audit workpapers
AI audit workpapers built for reviewer sign-off.
Snap prepares audit workpapers that keep procedures, evidence, exceptions, and reviewer decisions visible for audit teams using AI-assisted testing.
Workflow
Built around evidence, exceptions, and review.
Source-linked conclusions
Keep each conclusion tied to the supporting file and field used by the testing workflow.
Human sign-off
Make auditor review and judgment explicit instead of burying it behind AI-generated text.
Reviewability
The output has to survive audit review.
Source-linked evidence
Testing outputs are designed to point reviewers back to the supporting document and the field used for the conclusion.
Visible reasoning
Snap is built around reviewability: conclusions should show the path from source evidence to testing result.
Auditor oversight
AI can accelerate mechanical work, but auditor judgment still owns risk assessment, evidence evaluation, and final sign-off.
FAQ
AI audit workpapers questions.
What makes an AI audit workpaper reviewable?
A reviewable AI audit workpaper shows the procedure performed, the source evidence used, the exception rationale, and where auditor judgment was applied.
Does Snap replace reviewer sign-off?
No. Snap is designed to prepare source-linked documentation for human review. The audit team remains responsible for conclusions and sign-off.
What should firms avoid?
Avoid black-box summaries, unsupported conclusions, and workpapers that force reviewers to hunt for the evidence behind each result.
Next step
See how Snap handles real audit testing workflows.
Bring an example workpaper package and evaluate whether Snap reduces review friction without obscuring auditor judgment.