DYNAMIC REGULATORY CHANGE MANAGEMENT USING AI-POWERED REGULATORY KNOWLEDGE GRAPHS (RKGS)

Abstract

In today’s dynamic business era, regulatory change is an ever-present risk; organisations are required to react to increasingly frequent legislative changes. This study investigates the transformative potential of AI-powered “Regulatory Knowledge Graphs” (RKGs) for the dynamic regulation management of high-risk sectors like Finance, Health, and Pharmaceuticals. This considers the limitations of conventional compliance systems and shows how AI and semantic technologies facilitate an automated, real-time compliance monitoring solution. The research includes examples of improved efficiency, risk reduction, and cost savings found in real-world case studies. The research adopts a mixed-methods secondary approach to inform compliance teams and make a contribution to the expanding RegTech research area. This closes by reflecting on future work by considering the scalability of the solution across sectors, integration within the compliance space, and AI-human hybrid compliance systems.