When AI meets the audit

Kasim, Syazliana (2025) When AI meets the audit. Bulletin. Universiti Teknologi MARA Cawangan Negeri Sembilan Kampus Rembau.

Abstract

Auditing has evolved from manual tools to a more advanced approach with the integration of Artificial Intelligence (AI), which helps auditors analyse large volumes of data, detect anomalies, and predict risks efficiently. While external auditors act as financial detectives ensuring accuracy and compliance in financial statements, AI enhances their work by quickly identifying patterns and flagging unusual transactions, making the auditing process faster and more effective.

Metadata

Item Type: Monograph (Bulletin)
Creators:
Creators
Email / ID Num.
Kasim, Syazliana
UNSPECIFIED
Subjects: H Social Sciences > HD Industries. Land use. Labor > Technological innovations
H Social Sciences > HF Commerce > Accounting. Bookkeeping > Auditing. Auditors
H Social Sciences > HF Commerce > Accounting. Bookkeeping > Data processing. Including accounting machines, automated accounting systems, and accounting software
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Rembau Campus
Journal or Publication Title: RONA TINTA
ISSN: 2785-9126
Keywords: Auditing, artificial intelligence, external auditor, financial analysis
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/132934
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