AI-Driven Process Mining for Automated Compliance Monitoring

Abstract

Business processes become more complex and require compliance monitoring, they have more complex business requirements and evolving regulatory requirements, which all require more innovative approaches. Traditional methods of compliance checking are manual, and time intensive, susceptible to human error, and represent inefficiencies and increase risks. This paper addresses the solutions to these challenges by proposing anAI-driven process mining solution that helps automate the process of compliance monitoring in business processes. Integration of process mining techniques with artificial intelligence (AI) enables organizations to continuously monitor, audit, and assure adherence to regulatory standards more accurately. Using AI, this solution analyzes event logs identifies deviations of compliance rules and potential risks in real-time, and helps businesses proactively tackle these before they explode. In the integration of machine learning and natural language processing (NLP), the system further becomes able to understand complex process flows and regulatory documents and the system can monitor the dynamic compliance across changing environments. Using this AI-powered model, not only do the accuracy and efficiency of compliance checks improve, but also the costs and manual effort associated with traditional monitoring methods are greatly lowered. Ultimately, this solution delivers a customer-centric, scalable, real-time, and adaptive way to manage compliance in the ever-changing and fast-moving dynamic business astro spheres so businesses will be able to more effectively respond to regulatory requirements.