Real-Time Compliance and Exception Handling via Artificial Intelligence

Abstract

Artificial intelligence has become a disruptive technology that can benefit regulatory compliance and exception handling in organizations in terms of explaining how to convert reactive to proactive compliance frameworks. This detailed article examines the way AI-based systems transform the compliance monitoring process by providing full surveillance, automated monitoring of the policy, and the advanced ability to detect anomalies. It traces the transition of the conventional periodic audits to real-time monitoring systems, where it is possible to detect potential violations as they take place and not ex post. It outlines some of the main technological elements, such as monitoring of transaction algorithms, policy automation, and behavioral analytics, to identify compliance anomalies. The article also includes discussions on the alert systems architecture that focus more on notifications, delivering content-related information, as well as connections with the workflow systems. The listed advantages include the minimisation of regulatory exposure, the strengthening of operational efficiency, the increase of detection accuracy, and the flexible nature of compliance. The article rounds off the study by observing other emerging trends such as predictive compliance frameworks, natural language processing to interpret regulations, and cross-organizational monitoring to further revolutionize the compliance life of complex business ecosystems.