Population analysis
Review journal entry data for completeness, unusual patterns, and items that need auditor attention.
Journal entry testing
Snap helps audit teams analyze journal entry populations, organize support, document exceptions, and prepare source-linked workpapers for reviewer sign-off.
Workflow
Review journal entry data for completeness, unusual patterns, and items that need auditor attention.
Organize selected entries and related support so reviewers can trace conclusions back to source files.
Document selection rationale, support reviewed, exceptions, and auditor sign-off in one workflow.
Reviewability
Testing outputs are designed to point reviewers back to the supporting document and the field used for the conclusion.
Snap is built around reviewability: conclusions should show the path from source evidence to testing result.
AI can accelerate mechanical work, but auditor judgment still owns risk assessment, evidence evaluation, and final sign-off.
FAQ
Journal entry testing is an audit procedure for analyzing and testing entries in the general ledger, often to identify unusual entries, completeness issues, or entries requiring supporting evidence.
Snap helps analyze journal entry populations, organize selected entries, match support, document exceptions, and prepare reviewer-ready workpapers.
No. AI can assist with analysis and documentation, but the audit team owns risk assessment, professional skepticism, and final conclusions.
Next step
Bring a representative general ledger export and review how Snap turns selected entries into evidence-backed testing documentation.