Answers
No. Compliance depends on how the software is configured, governed, and used. Standards require human judgment, documented methodology, reliable evidence, and appropriate review—AI can support these requirements but cannot replace them.
Key frameworks include ISA 315 and PCAOB AS 2110 (risk assessment), ISA 500 and PCAOB AS 1105 (audit evidence), ISA 230 (documentation), ISQM 1 (quality management), and professional ethics codes covering confidentiality and competence.
Document data sources and reconciliations, analytics parameters and model versions, exception investigation and conclusions, reviewer accountability, and how results tie to the relevant assertion and materiality.
Treat alerts as final findings, lack of audit trails, non-reproducible outputs, opaque models without explanations, and vendor terms that conflict with confidentiality or data residency requirements.
It enables full-population testing, consistent rule application, faster triage of high-risk items for human review, and richer documentation of analytics procedures—strengthening coverage while keeping auditors in control.
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