Control evidence intake
Collect and organize evidence tied to the control, period, owner, and tested attributes.
Controls testing
Controls testing software for evidence-led audit review.
Snap helps audit teams organize control evidence, test attributes, document exceptions, and prepare source-linked controls testing workpapers.
Workflow
Built around evidence, exceptions, and review.
Attribute testing
Document whether evidence supports each tested attribute and where follow-up is needed.
Reviewer visibility
Give reviewers a clear path from control objective to evidence, exception, and conclusion.
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
Controls testing questions.
How can AI help with controls testing?
AI can help organize control evidence, extract relevant attributes, identify missing support, and prepare documentation that reviewers can trace back to source files.
Does Snap design controls?
No. Snap supports testing execution and documentation. Control design, risk assessment, and final evaluation remain auditor responsibilities.
What should reviewers look for?
Reviewers should check the tested population, attributes, evidence source, exception rationale, and whether the conclusion is supported by the documentation.
Next step
See how Snap handles real audit testing workflows.
Bring a control sample and evidence package to evaluate whether Snap creates documentation your reviewers can verify.