Answers
No. AI handles data-intensive screening and pattern detection. Auditors retain judgment on materiality, fraud indicators, and the audit opinion.
Instead of sampling a fraction of transactions, every entry is screened. Teams prioritize flagged items first—reducing detection risk without adding headcount.
Every flag includes plain-English reasoning auditors can document in workpapers and defend to reviewers and regulators.
No. Upload GL data, select tests, and run analysis within your existing workflow. Finspectors augments current methodology rather than replacing it.
Pilot on one engagement: load GL data, run full-population screening with conservative thresholds, and measure time-to-first-review versus your current sample-based approach.
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