Answers
General ledger data, behavioral logs, control point outcomes, and historical anomalies are commonly used.
Four to five tiers strike a balance between granularity and interpretability. Too many tiers create noise; too few hide nuance.
Ideally after each major audit cycle or when new control points are introduced.
No. AI quantifies risk objectively; auditors interpret, validate, and adjust based on context.
Begin with a simple weighted model on past audit files, validate manually, then expand using automated risk engines like Finspectors.ai
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