Answers
Inherent risk (susceptibility before controls), control risk (controls fail to prevent or detect), and detection risk (auditor procedures miss the misstatement). They combine multiplicatively in standard risk models.
No. AI improves screening, prioritization, and documentation. Auditors still set materiality, design responses, and form the opinion.
Reviewing 100% of a population with intelligent prioritization reduces the chance that high-risk items sit outside a manual sample—though procedures and judgment on flagged items still determine conclusions.
Reviewers and inspectors need to understand why an item was flagged. Plain-English reasons and linked evidence make AI-assisted triage defensible in file review.
Start with one engagement and GL screening or anomaly detection on a defined population. Measure review time per 1k rows and manager rework before expanding criteria.
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