Keywords
ChatGPT, internal auditing, audit process, large language models
Abstract
We discuss how the internal audit function (IAF) of a large multinational energy company, Uniper, is starting to use ChatGPT to improve automation of internal auditing. We investigate the benefits and challenges of integrating ChatGPT into internal audit processes and assess its impact on the efficiency and effectiveness of the IAF. Uniper has implemented ChatGPT into parts of audit preparation, fieldwork, and audit reporting. On their initial tests, they estimate efficiency gains ranging from 50 to 80 percent for various processes. We report key risks and challenges with using ChatGPT in internal auditing as well as the initial key practices and rules for using ChatGPT. This study should help practitioners to learn how ChatGPT can aid in auditing and help inform researchers about this fast, emerging technology.
Original Publication Citation
Emett, S., M. Eulerich, and D. A. Wood. 2024. Leveraging ChatGPT for enhancing the internal audit process—A real-world example from Uniper, a large multinational company. Accounting Horizons, 2024. DOI: 10.2308/HORIZONS-2023-111.
BYU ScholarsArchive Citation
Emett, Scott; Eulerich, Marc; Lipinski, Egemen; Prien, Nicolo; and Wood, David A., "Leveraging ChatGPT for Enhancing the Internal Audit Process – A Real-World Example from a Large Multinational Company" (2024). Faculty Publications. 8246.
https://scholarsarchive.byu.edu/facpub/8246
Document Type
Peer-Reviewed Article
Publication Date
2024
Publisher
Accounting Horizons
Language
English
College
Marriott School of Business
Department
Accountancy
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