Automation of Audit Processes through AI Transforming Traditional Audit Practices

Authors

  • Aman Deep Singh Independent Researcher, (Pittsburg, California USA). Author

DOI:

https://doi.org/10.56472/WCAI25-112

Keywords:

Artificial Intelligence, Audit Processes, Automation, AI-Driven Audit, Data Collection, Preliminary Analyses, Auditor Efficiency, Audit Quality

Abstract

This white paper explores the transformative impact of artificial intelligence (AI) on the audit processes within the industry. Traditional audit practices, which have been labor-intensive and prone to human error, are now being revolutionized through AI-driven automation. The document highlights how AI is streamlining routine tasks, enhancing data collection methods, and performing preliminary analyses, thereby enabling auditors to focus on more complex and judgment-based tasks. Through the automation of repetitive tasks such as data entry and account reconciliation, AI is drastically improving efficiency, accuracy, and overall audit quality

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References

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Published

2025-09-12

How to Cite

1.
Singh AD. Automation of Audit Processes through AI Transforming Traditional Audit Practices. IJETCSIT [Internet]. 2025 Sep. 12 [cited 2025 Oct. 11];:46-50. Available from: https://www.ijetcsit.org/index.php/ijetcsit/article/view/386

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