Research on the Application of Robotic Process Automation (RPA) in the Auditing Industry-Take the Bank Letter Procedure as An Example
- DOI
- 10.2991/978-94-6463-874-5_87How to use a DOI?
- Keywords
- Robotic Process Automation; Audit; AI
- Abstract
With the advent of the digital economy era, various AI technologies are emerging endlessly and are widely used in various industries, and most industries have been caught up in these technological innovations. With the explosive growth of global data, auditors, who need to process and analyze large amounts of corporate financial data and other information, are struggling to cope with the surge in corporate data. Because the traditional manual operation process of audit can no longer meet the current audit needs, it is necessary to apply RPA and other technologies to audit and other work. This paper mainly takes the bank confirmation procedure as an example to analyze the current application of RPA technology in the audit process and the possible challenges in the application, aiming to play a certain reference role for the smooth development of relevant research on the application of Robotic Process Automation in the audit industry.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yue Zhu PY - 2025 DA - 2025/11/03 TI - Research on the Application of Robotic Process Automation (RPA) in the Auditing Industry-Take the Bank Letter Procedure as An Example BT - Proceedings of the 2025 International Conference on Financial Innovation and Marketing Management (FIMM 2025) PB - Atlantis Press SP - 758 EP - 764 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-874-5_87 DO - 10.2991/978-94-6463-874-5_87 ID - Zhu2025 ER -