The Role of Internal Auditing Utilizing Artificial Intelligence in Assessing Environmental Impact on Commercial Organizations: An Applied Study on Zain Iraq Telecommunications
DOI:
https://doi.org/10.59992/IJFAES.2026.v5n1p2Keywords:
Internal Auditing, Artificial Intelligence, Environmental Impact, Sustainability, Commercial EnterprisesAbstract
With the acceleration of digital transformation and the increased dependence of commercial enterprises on intelligent systems and advanced technologies, internal auditing has become a key component of transparency and environmental sustainability. Artificial intelligence (AI) is an aid to support and effectively used in the analysis of environmental data, early identification of discrepancies in operational performance, and evaluating corporate green performance. The purpose of this study is to analyze the role of AI-supported internal auditing practices in assessing the environmental impact of commercial enterprises and to highlight how smart auditing systems help to improve the quality of environmental reporting and compliance with governance and sustainability standards. The researchers developed a deductive approach to shape the theoretical aspect via an analysis related to Arabic and international literature and an inductive approach to present real-life applications in commercial firms. Hypotheses were designed to test the relationship between internal audit effectiveness, AI engagement levels, and the accuracy of environmental impact assessment. Empirical analysis was made on Zain Iraq Telecommunications (2022-2023). showed that the use of AI in internal auditing greatly improves the standard of environmental impact assessments by allowing the analysis of operating and environmental data to be carried out accurately, the timely identification of anomalies, and improvements in the organisation’s environmental performance. The results, demonstrated that the interface between internal auditing and AI provides enhanced organisational compliance with governance and sustainability standards, supports a proactive control system that facilitates data-driven decisions, increases the level of transparency of environmental reporting—thereby enhancing stakeholder confidence and advancing the commercial enterprise's long-term sustainability.
References
1. Adam, M. I. B., Osman, I. Y. I., Ibrahim Osman, M. M., Aljounaidi, A., Alharbi, F. S. S., Alharath, A., & Mohd Jafre, S. M. (2024). The Role of Audit Assurance Management on Climate Change Disclosures in Selected Companies in Malaysia: Mediating Role of Artificial Intelligence. Journal of Hunan University Natural Sciences, 51(7).
2. https://jonuns.com/index.php/journal/article/view/1621
3. Al-Hattami, H. (2021). Internal Audit and Corporate Sustainability Reporting: The Role of AI. Journal of Accounting and Business Studies, 33(4), 221–239.
4. Altikrite, K. M. (2025). The Impact of Using Artificial Intelligence on the Quality of Internal Auditing. International Journal of Research in Finance and Management, 8(1), 45-52.
5. Ananda, R. F., Rahmadhani, S. N., Pane, A. A., & Wiratama, N. H. (2025). Assessment Audit: How Artificial Intelligence Affected Audit Quality of Sustainability Report Based on Auditors’ Perspective. Information Management and Business Review, 16(3(I)S). https://ojs.amhinternational.com/index.php/imbr/article/view/4049
6. Amoako, G. K. (2023). Internal audit functions and sustainability audits. Cogent Business & Management / Taylor & Francis. https://www.tandfonline.com/doi/full/10.1080/23311975.2023.2192313
7. Appelbaum, D., Kogan, A., & Vasarhelyi, M. (2017). Big Data and Advanced Analytics in Audit: Opportunities and Challenges. Accounting.
8. Appelbaum, D., Kogan, A., & Vasarhelyi, M. (2020). Impact of Artificial Intelligence on Auditing. The Accounting Review, 95(4), 1–24.
9. Brown-Liburd, H., & Vasarhelyi, M. (2022). Artificial Intelligence and the Audit Profession: Opportunities and Challenges. Accounting Horizons, 36(3), 45–67.
10. COSO. (2023). Internal Control–Integrated Framework. Committee of Sponsoring Organizations of the Treadway Commission.
11. Deloitte. (2023). AI in Auditing: From Automation to Augmentation. Deloitte Insights.
12. Garg, S. K., & Buyya, R. (2012). Green Cloud Computing and Environmental Sustainability. In Harnessing Green IT: Principles and Practices (pp. 315–340). Wiley. https://onlinelibrary.wiley.com/doi/10.1002/9781118305393.ch13
13. 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://ejournal2.undip.ac.id/index.php/ajlm/article/view/24652
14. IAASB. (2022). Technology and the Future of Audit: Integrating AI into Assurance Processes. International Auditing and Assurance Standards Board.
15. IFAC. (2022). Environmental, Social, and Governance Reporting: Guidance for Internal Auditors. International Federation of Accountants.
16. International Telecommunication Union (ITU). (2022). ICTs for a Sustainable World: Green Digital Transformation. https://www.itu.int/en/ITU-T/climatechange/Documents/2022-Green-Digital-Transformation.pdf
17. Kharchenko, V., Fesenko, H., & Illiashenko, O. (2022). Quality models for artificial intelligence systems: Characteristic-based approach, development and application. Sensors (Basel), 22(13), 4865. https://doi.org/10.3390/s22134865
18. Kokina, J., & Davenport, T. (2019). The Emergence of Artificial Intelligence in Auditing. Journal of Emerging Technologies in Accounting, 16(1), 55–68.
19. Merkhoufi, M., Bouzidi, A., & Sadani, Z. (2025). The Impact of Artificial Intelligence on Internal Audit Quality Amidst the Challenges of Algeria’s IT Infrastructure. International Journal of Economic Perspectives.
20. Oleiwi, S. H., Jawad, Z. S., & Alzubaidi, Y. T. (2023). Literature review on the variety kinds of AI and ML technologies classifications and limitations. European Journal of Interdisciplinary Research and Development, 17, 80–95. https://ejird.journalspark.org/index.php/ejird/article/view/7
21. PWC. (2023). The Hybrid Auditor: Combining Human Insight and Artificial Intelligence. PWC Global Reports.
22. Sabauri, L. (2024). Internal Audit’s Role in Supporting Sustainability Reporting. International Journal of Sustainable Development and Planning, 19(5).
23. Septarini, D. F., & Ismanto, H. (2024). Transforming Audit with AI: Navigating the Inevitability and Challenges of Accounting Digitalisation. International Journal of Engineering Research & Technology (IJERT), 13(7). https://www.ijert.org/transforming-audit-with-ai-navigating-the-inevitability-and-challenges-of-accounting-digitalisation
24. Suleiman, E. N. (2023). The Internal Audit in Light of Artificial Intelligence: An Exploratory Study in the Iraqi Environment. World Economics & Finance Bulletin, 23, 195-211. https://scholarexpress.net/index.php/wefb/article/view/2960
25. Swathi, B., Shoban Babu, S., & Ayyavaraiah, M. (2019). Artificial Intelligence: Characteristics, sub-fields, techniques and future predictions. Journal of Mechanics of Continua and Mathematical Sciences, 14(6).
26. The Institute of Internal Auditors (IIA). Definition of Internal Auditing. The IIA. https://www.theiia.org/en/standards/what-are-the-standards/definition-of-internal-audit
27. UNEP. (2023). Environmental Performance and Business Sustainability Report. United Nations Environment Programme.
28. Yoon, K., Hoogduin, L., & Zhang, L. (2021). Big Data and AI in Auditing: The Future of Assurance. Auditing: A Journal of Practice & Theory, 40(3), 57–80.
29. Zain Iraq. (2023). Sustainability Report 2023: Building a Sustainable Future through Digital Inclusion and Environmental Responsibility. https://www.zain.com/en/sustainability/reports
