Draft:JCAATs – AI Auditing Software

JCAATs – AI Auditing Software is a multilingual Computer-Assisted Audit Tool (CAATs) developed by Jacksoft Co., Ltd., based in Taiwan. It integrates artificial intelligence techniques with Python modules and offers a graphical, no-code interface. The software supports English, Japanese, Spanish, Korean, Chinese, and other languages, and runs on both macOS and Windows platforms. JCAATs is primarily used in accounting, internal auditing, and data analysis. It has been cited in several academic publications and integrated into university courses and audit training programs in Asia.

History and Features

[edit]

JCAATs was first introduced at the 2017 ICAEA Conference in London, where it was presented as a cross-platform audit analytics tool.[1]. The software has since evolved, with several of its features protected by patents [2][3].

JCAATs is built in Python and provides both standard CAATs functions and advanced AI-based features such as PDF table and text recognition, web scraping, word cloud and clustering, machine learning, and image recognition. The tool is designed with a user-friendly graphical interface that assists users in generating automated Python-based audit scripts[4].

Applications and Academic Citations

[edit]

JCAATs has been included in academic collaboration programs and classroom instruction in various Asian universities[5][6].

The software has also been cited in several academic works:

Tomita, Aki (2025). "Transition to Public Interest Capitalism Using Integrated Reporting", Journal of International Profession Education Research, Vol.1, March 2025, pp. 21–35.

Huang, Shi-Ming & Liu, Yung-Yao (2023). "Machine Learning Improves Environmental Sustainability: A Teaching Case of Prediction about Scrapping Inventory", International Journal of Computer Auditing, Vol. 5, No. 1, pp. 4–31. [7].

Chang, Feng-Chia (2023). Exploratory Research on Audit Management Models in Healthcare Institutions, Master's Thesis, National Chung Cheng University. The thesis employed JCAATs as one of its research tools (p. 45)[8].

Huang, Sherry (2023). "General Ledger Computer Auditing Practice: Implementing a Smart Auditing Approach", International Journal of Computer Auditing, Vol. 5, No. 1, pp. 45–51 [9].

In 2024, JCAATs was referenced in a paper titled "Leveraging Continuous Smart Auditing for Detecting Business Email Compromise: A Text Mining Approach," which applied text analytics in fraud detection and received the Best Paper Award at the 33rd Asia-Pacific Conference on International Accounting Issues[10]. The full paper is available on ResearchGate.[11]

See also

[edit]

Computer-assisted audit tools

Information technology audit

Continuous auditing

Forensic accounting

Digital transformation

Artificial intelligence

[edit]

Official website

International Computer Auditing Education Association

Category:Audit software Category:Accounting information systems Category:Artificial intelligence applications Category:Software

  1. ^ "Proceeding Abstracts from ICAEA 2017 Conference". ICAEA Official Site. Retrieved 2025-04-22.
  2. ^ "Audit system for splitting order". Google Patents. Retrieved 2025-04-22.
  3. ^ "Audit Software Platform". Google Patents. Retrieved 2025-04-22.
  4. ^ Huang, Shih-Ming (2025). ACL Data Analytic and Computer Auditing (9th ed.) (in Chinese). CHWA Publishing. p. Ch.1, p.5. ISBN 9786264011402.
  5. ^ "ICAEA Academic Partners". ICAEA Official Site. Retrieved 2025-04-22.
  6. ^ "Chaoyang University of Technology Expands Industry-Academic Collaboration Using JCAATs". China Times (in Chinese). Retrieved 2025-04-22.
  7. ^ "Machine Learning Improves Environmental Sustainability". International Journal of Computer Auditing. Retrieved 2025-04-22.
  8. ^ "National Chung Cheng University Mater Thesis". National Digital Library of Theses and Dissertations in Taiwan (in Chinese). Retrieved 2025-04-22.
  9. ^ "General Ledger Computer Auditing Practice". International Journal of Computer Auditing. Retrieved 2025-04-22.
  10. ^ "JCAATs Paper Wins Best Paper Award". National Chung Cheng University. Retrieved 2025-04-22.
  11. ^ "Leveraging Continuous Smart Auditing for Detecting Business Email Compromise: A Text Mining Approach". ResearchGate. Retrieved 2025-04-22.