Artificial Intelligence in Internal Auditing: Enhancing Decision-Making and Audit Quality in the Saudi Accounting Sector

Hassan Salah Anwer Ghozi

doi:10.31181/dmame7220241372

Authors

Hassan Salah Anwer Ghozi Department of Accounting, College of Business Administration, Hawtat Bani Tamim, Prince Sattam bin Abdulaziz University, Al-Kharj - Saudi Arabia & Department of Accounting, College of Commerce, AL-Azhar University, Cairo, Egypt. https://orcid.org/0000-0001-8001-1276

DOI:

https://doi.org/10.31181/dmame7220241372

Keywords:

Artificial Intelligence, Internal Auditing, Accounting, Risk Assessment, Audit Efficiency.

Abstract

This study delves into the impact of artificial intelligence (AI) on internal auditing within the accounting sector, utilizing descriptive analysis to provide a comprehensive understanding. We meticulously designed and administered a structured questionnaire for 73 participants, including both internal and external auditors and financial managers. The questionnaire aimed to evaluate current AI utilization, potential benefits, implementation challenges, and effective strategies for AI adoption. The findings reveal a substantial gap between the anticipated and actual use of AI in internal auditing. Only 64% of these organizations currently employ AI technologies, despite 72.9% of respondents believing that the industry will soon widely adopt AI. AI has demonstrated the potential to reduce audit time by 30–40% and significantly enhance the accuracy of risk assessments by 50–60%. However, various challenges, such as concerns over data security (76.7%), a shortage of qualified professional staff (74.9%), and inadequate technological support (76.2%), impede the path to full AI adoption. The study underscores the pressing need for clear, well-defined, and strategic implementation plans to effectively integrate AI into auditing practices. Future efforts should prioritize optimizing the synergy between AI capabilities and human expertise, which could lead to improved audit quality by 30–40%.

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References

[1] Wassie, F. A., & Lakatos, L. P. (2024). Artificial intelligence and the future of the internal audit function. Humanities and Social Sciences Communications, 11(1), 1-13. https://doi.org/10.1057/s41599-024-02905-w

[2] Aldemİr, C., & Uçma Uysal, T. (2024). AI Competencies for Internal Auditors in the Public Sector. Edpacs, 69(1), 3-21. https://doi.org/10.1080/07366981.2024.2312001

[3] Thottoli, M. M. (2024). Leveraging information communication technology (ICT) and artificial intelligence (AI) to enhance auditing practices. Accounting Research Journal, 37(2), 134-150. https://doi.org/10.1108/ARJ-09-2023-0269

[4] Eulerich, M., Sanatizadeh, A., Vakilzadeh, H., & Wood, D. A. (2024). Is it all hype? ChatGPT’s performance and disruptive potential in the accounting and auditing industries. Review of Accounting Studies, 29(3), 2318-2349. https://doi.org/10.1007/s11142-024-09833-9

[5] Saatchi, S. G., Sharairi, J. A., Sarram, M., Rahahle, M. Y., Anagreh, S., Haija, A. A. A., Maabreh, H. M. A., Alrfai, M. M., Al-Hawary, S. I. S., & Mohammad, A. A. S. (2024). Industry 4.0 Era: The Role of Robotic Process Automation in Internal Auditing Quality of Banking Sector in Jordan. In A. M. A. Musleh Al-Sartawi, A. S. Aydiner, & M. Kanan (Eds.), Business Analytical Capabilities and Artificial Intelligence-Enabled Analytics: Applications and Challenges in the Digital Era, Volume 1 (pp. 73-91). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56015-6_6

[6] Almaqtari, F. A., Farhan, N. H. S., Al-Hattami, H. M., Elsheikh, T., & Al-dalaien, B. O. A. (2024). The impact of artificial intelligence on information audit usage: Evidence from developing countries. Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100298. https://doi.org/10.1016/j.joitmc.2024.100298

[7] Qatawneh, A. M. (2024). The role of artificial intelligence in auditing and fraud detection in accounting information systems: moderating role of natural language processing. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-03-2024-4389

[8] Monteiro, A., Cepêda, C., Da Silva, A. C. F., & Vale, J. (2023). The Relationship between AI Adoption Intensity and Internal Control System and Accounting Information Quality. Systems, 11(11), 536-536. https://doi.org/10.3390/systems11110536

[9] Li, Y., & Goel, S. (2025). Artificial intelligence auditability and auditor readiness for auditing artificial intelligence systems. International Journal of Accounting Information Systems, 56, 100739. https://doi.org/10.1016/j.accinf.2025.100739

[10] Anh, N. T. M., Hoa, L. T. K., Thao, L. P., Nhi, D. A., Long, N. T., Truc, N. T., & Ngoc Xuan, V. (2024). The Effect of Technology Readiness on Adopting Artificial Intelligence in Accounting and Auditing in Vietnam. Journal of Risk and Financial Management, 17(1). https://doi.org/10.3390/jrfm17010027

[11] Simbiri, A. M., Musiega, M., & Edwin, J. S. (2023). Influence of Internal Audit Risk Planning Practices on the Financial Performance of SACCOs in the Western Region of Kenya. African Journal of Empirical Research, 4(2), 526-535. https://doi.org/10.51867/ajernet.4.2.54

[12] Anggraini, L. D., & Faradillah. (2022). Fraud Detection: Application of COSO on Auditing Accounting Information Systems in Plantation Companies. Journal of Accounting Science, 6(2), 102-109. https://doi.org/10.21070/jas.v6i2.1607

[13] Abdullah, A. A. H., & Almaqtari, F. A. (2024). The impact of artificial intelligence and Industry 4.0 on transforming accounting and auditing practices. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100218. https://doi.org/10.1016/j.joitmc.2024.100218

[14] Oluyombo, O. O., & Ajakaiye, O. (2024). The implications of adopting artificial intelligence in the auditing process. In T. Walker, D. Gramlich, & A. Sadati (Eds.), Artificial intelligence, finance, and sustainability: Economic, ecological, and ethical implications (pp. 287-300). Springer. https://doi.org/10.1007/978-3-031-66205-8_12

[15] Almufadda, G., & Almezeini, N. A. (2022). Artificial Intelligence Applications in the Auditing Profession: A Literature Review. Journal of Emerging Technologies in Accounting, 19(2), 29-42. https://doi.org/10.2308/JETA-2020-083

[16] Mehta, C. K., Kaushik, V., & Bhargav, S. (2021). A study of the impact of internal control measures on ease of use of forensic audit mediated by artificial intelligence techniques. 2021 Emerging Trends in Industry 4.0 (ETI 4.0), https://doi.org/10.1109/ETI4.051663.2021.9619447

[17] Hanfy, F., Alakkas, A. A., & Alhumoudi, H. (2024). Analyzing the role of digitalization and its impact on auditing. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-024-19729-0

[18] Leocádio, D., Malheiro, L., & Reis, J. (2024). Artificial Intelligence in Auditing: A Conceptual Framework for Auditing Practices. Administrative Sciences, 14(10). https://doi.org/10.3390/admsci14100238

[19] Adelakun, B. O. (2022). The Impact of AI on Internal Auditing: Transforming Practices and Ensuring Compliance. Finance & Accounting Research Journal, 4(6), 350-370. https://doi.org/10.51594/farj.v4i6.1316

[20] Kaur, H., Arora, G., Salaria, A., Singh, A., Rakhra, M., & Dhiman, G. (2023). The Role of Artificial Intelligence (AI) in the Accounting and Auditing Professions. 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), https://doi.org/10.1109/UPCON59197.2023.10434447

[21] Jokipii, A., & Rautiainen, A. (2024). Quo vadis, internal auditing? A vision for internal auditing in 2030. International Journal of Auditing, 28(1), 170-184. https://doi.org/10.1111/ijau.12324

[22] Ilias, A., Baidi, N., Ghani, E. K., & Rahman, R. A. (2022). Factors Driving the Intention to Pursue Internal Auditing Certification and Career among Future Graduates in Malaysia. Universal Journal of Accounting and Finance, 10(2), 549-558. https://doi.org/10.13189/ujaf.2022.100219

[23] Ghafar, I., Perwitasari, W., & Kurnia, R. (2024). The Role of Artificial Intelligence in Enhancing Global Internal Audit Efficiency: An Analysis. Asian Journal of Logistics Management, 3(2), 64-89. https://doi.org/10.14710/ajlm.2024.24652

[24] Merkhoufi, M., Bouzidi, A., & Sadani, Z. (2024). The impact of artificial intelligence on internal audit quality amidst the challenges of Algeria’s IT infrastructure. International journal of economic perspectives, 18(12), 2223-2240. https://ijeponline.org/index.php/journal/article/view/769

[25] Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022). Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking. Accounting, Auditing and Accountability Journal, 35(9), 109-135. https://doi.org/10.1108/AAAJ-09-2020-4934

[26] Ivakhnenkov, S. (2023). Artificial intelligence application in auditing. Scientific Notes of NaUKMA. Economic Sciences, 8(1), 54–60. https://doi.org/10.18523/2519-4739.2023.8.1.54-60

[27] Alhazmi, A. H. J., Islam, S. M., & Prokofieva, M. (2025). The Impact of Artificial Intelligence Adoption on the Quality of Financial Reports on the Saudi Stock Exchange. International Journal of Financial Studies, 13(1), 21-21. https://doi.org/10.3390/ijfs13010021

[28] Elsayed, N., & Hassan, M. K. (2024). Audit simulation and learning styles: Enhancing students' experiential learning and performance at a MENA university. International Journal of Auditing, 28(4), 632-651. https://doi.org/10.1111/ijau.12345

[29] Sari, G. I., Suhaili, A., & Lesfandra, L. (2024). The Mediation Role of Audit Quality: Impact Internal Audit Strategy, Auditor Ethics, and Accounting Culture on Financial Report Quality. Atestasi : Jurnal Ilmiah Akuntansi, 7(1), 300-316. https://doi.org/10.57178/atestasi.v7i1.779

[30] El-Mousawi, H., Jaber, A., & Fakih, I. (2023). Impact of using artificial intelligence applications on the accounting and auditing profession–An exploratory study from the LCPAs’ perspective. Journal of Business Theory and Practice, 11(4). https://doi.org/10.22158/jbtp.v11n4p1

[31] Efuntade, A. O., Fcib, F., & Efuntade, O. O. (2023). Cloud Technology-Based Auditing and Accounting Services: General Outlook, Conditions, Issues and Review of Nigerian Accounting System. Journal of Accounting and Financial Management (JAFM), 9(4), 1–21. https://doi.org/10.56201/jafm.v9.no4.2023.pg1.21

[32] Fidyah, F., Usman, S., Pradita, A. E., & Setyawati, D. M. (2024). The Impact of Artificial Intelligence on Auditing Processes and Accuracy: A Future Outlook. Dinasti International Journal of Economics, Finance & Accounting (DIJEFA), 5(4). https://doi.org/10.38035/dijefa.v5i4.3224

[33] Shrivastav, M. (2021). Barriers Related to AI Implementation in Supply Chain Management. Journal of Global Information Management, 30(8), 1-19. https://doi.org/10.4018/JGIM.296725

[34] Auditors, T. S. I. o. I. (2024). The Saudi Institute of Internal Auditors. The Saudi Institute of Internal Auditors. https://iia.org.sa/en/pages/11

[35] Arof, K. Z. M., Ismail, S., & Saleh, A. L. (2018). Contractor's performance appraisal system in the Malaysian construction industry: Current practice, perception and understanding. International Journal of Engineering and Technology(UAE), 7(3), 46-51. https://doi.org/10.14419/ijet.v7i3.9.15272

[36] Preston, C. C., & Colman, A. M. (2000). Optimal number of response categories in rating scales: Reliability, validity, discriminating power, and respondent preferences. Acta Psychologica, 104(1), 1-15. https://doi.org/10.1016/S0001-6918(99)00050-5

[37] Ajayi, F. A., & Akinrinola, O. (2023). Artificial intelligence & internal audit quality of commercial banks in Nigeria. International Journal of Management and Economics Invention, 9(04), 2897-2906. https://doi.org/10.47191/ijmei/v9i4.05

[38] Albahsh, R., & Al-Anaswah, M. F. (2024). Artificial intelligence applications in auditing processes in the banking sector. Corporate Ownership & Control, 21(3), 35–46. https://doi.org/10.22495/cocv21i3art3