

Audit report review in financial statement audit consumes significant senior audit time because structure, wording, figures and prior-year values must be checked manually across multiple documents. Lengthy audit reports, strict quality requirements and dual review cycles slow down audit reporting and increase the risk that inconsistencies or formal errors are detected late.
Artificial intelligence supports audit report review in financial statement audit by analysing audit reports for structure, language and content. An AI system automatically cross-checks figures, metrics and statements across audited financials, balance sheet, profit and loss statement, notes, management report and related audit documentation, and flags deviations with clear reasoning. At the same time, artificial intelligence checks completeness against standard report templates, detects inconsistencies in document review and prepares findings for expert validation. This makes quality assurance in audit reporting faster, more consistent and easier to scale.
The economic lever is cost savings. Artificial intelligence takes over large parts of repetitive document review, figure reconciliation and formal compliance review in audit reporting, which materially reduces manual review effort in the financial statement audit. As a result, internal audit hours per audit report fall, and experienced professionals can handle more engagements or focus on higher-value assurance work instead of routine corrections.




















Zukunft beginnt, wenn menschliche Intelligenz künstliche Intelligenz entwickelt. Der erste Schritt ist nur ein Klick.
Zukunft beginnt, wenn menschliche Intelligenz künstliche Intelligenz entwickelt. Der erste Schritt ist nur ein Klick.