ADDRESSING AUDITING CHALLENGES THROUGH EMERGING TECHNOLOGIES A CASE STUDY OF CROWE AL MUHANNA & CO
DOI:
https://doi.org/10.29121/granthaalayah.v13.i11.2025.6512Keywords:
Auditing, Emerging Technologies, Artificial Intelligence, Corporate Mental Health, Robotic Process Automation, Trial Balance AutomationAbstract [English]
The auditing profession is undergoing a significant transformation driven by technological advancements, increasing regulatory expectations, and the growing complexity of financial reporting. Traditional auditing practices, which depend heavily on manual procedures such as trial balance preparation, ledger reconciliation, and year-over-year analysis, are proving inadequate in today’s data-intensive environment. This research paper examines how emerging technologies including Artificial Intelligence (AI), Business Intelligence (BI), Robotic Process Automation (RPA), and automated Trial Balance extraction tools can address these challenges. Using a qualitative case study based on the internship experience at Crowe Al Muhanna & Co., combined with benchmarking insights from Deloitte’s digital audit tools, the study demonstrates how automation improves efficiency, reduces human error, enhances analytical depth, and strengthens the overall quality of audits. While the adoption of such technologies presents challenges related to training, financial investment, and data governance, the findings show that these technological tools represent a substantial opportunity for mid-sized audit firms to modernize and align with global standards. The study concludes with practical recommendations for future technology adoption, positioning the paper for academic publication in commerce and management journals.
Downloads
References
Appelbaum, D., Kogan, A., and Vasarhelyi, M. A. (2017). Big Data and Advanced Analytics in External Audits: Opportunities and Challenges. Journal of Accounting Literature, 39, 76–93.
Bierstaker, J., Janvrin, D., and Lowe, D. J. (2014). What Factors Influence Auditors’ use of Computer-Assisted Audit Techniques? Advances in Accounting, 30(1), 67–74. https://doi.org/10.1016/j.adiac.2013.12.005
Deloitte. (2020). Deloitte Omnia: Transforming the Audit with Automation and Analytics. Deloitte Insights.
International Auditing and AssuraNce Standards Board. (2020). Handbook of International Quality Control, Auditing, Review, other Assurance, and Related Services Pronouncements (2020 ed., Vols. 1–3). International Federation of Accountants.
Kokina, J., and Davenport, T. H. (2017). The Emergence of Artificial Intelligence in Auditing: How Automation is Changing the Profession. Journal of Emerging Technologies in Accounting, 14(1), 115–122. https://doi.org/10.2308/jeta-51730
Li, H., Dai, J., Gershberg, T., and Vasarhelyi, M. A. (2018). Understanding Usage and Value of Audit Analytics for Internal Auditors: An organizational perspective. International Journal of Accounting Information Systems, 28, 59–76. https://doi.org/10.1016/j.accinf.2017.12.005
PwC. (2020). How Emerging Technologies are Reshaping the Audit. PwC Assurance Insights.
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Alan Varghese Rejoy, Dr. Priya Satsangi, Dr. Bhawna Sharma Padroo
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
