Answers
Real-time auditing uses frequent data ingest and full-population analytics to surface exceptions early—rather than relying on periodic samples that may miss rare but material issues.
Real-time emphasizes timely exception routing and investigation; continuous auditing keeps checks always on between formal fieldwork cycles. Both rely on full-population methods and documented trails.
Coverage ratio, exception precision, cycle time, and high-risk detection rate show whether analytics improve quality and speed without unsupported promises.
Yes. Analytics surface hypotheses; auditors investigate, corroborate, assess materiality, and document conclusions.
Start with one high-volume population—payables or journal entries—with deterministic rules and conservative thresholds before adding ML or expanding scope.
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