1 St John’s University New York.
2 Hult International Business School.
World Journal of Advanced Research and Reviews, 2025, 27(01), 1072-1080
Article DOI: 10.30574/wjarr.2025.27.1.2607
Received on 01 June 2025; revised on 08 July 2025; accepted on 10 July 2025
Artificial Intelligence (AI) is gradually transforming the corporate risk management and compliance landscape, as it allows making decisions in a more timely and correct way. This paper evaluates the new role being played by AI in promoting effective risk management and compliance processes in organizations through the manner in which the AI technologies with the ability to collect, analyze, process, and evaluate information, including machine learning, natural language processing, and predictive analytics, are being applied with the purpose of identifying, evaluating, and mitigating the various risks. Whether it is financial fraud detection, cybersecurity, operational interruptions, or compliance, the AI tools are increasing the speed of risk detection, increasing data analysis potential, and creating support for real-time monitoring and forecasting.
The paper examines how AI aids in automating repetitive risk management and compliance tasks, thus enabling risk managers to concentrate on the high-level monitoring. As well as listing the advantages, the processes and all those concerned with the adoption of AI in the sphere of risk management and compliance are also spoken about, with the discussion touching upon data quality, model transparency, and governance. The analysis indicates that when integrated in a proper manner, AI can enhance risk management and compliance of an organization and its resilience in a rapidly complicated and more uncertain business-based environment.
Artificial Intelligence; Compliance; Corporations; Management; Risk
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Tina Akpevben Aror and Munashe Naphtali Mupa. Risk and compliance paper what role does Artificial Intelligence (AI) play in enhancing risk management practices in corporations?. World Journal of Advanced Research and Reviews, 2025, 27(01), 1072-1080. Article DOI: https://doi.org/10.30574/wjarr.2025.27.1.2607.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0