Compliance Automation and RegTech: Foundations of AI-Supported Compliance

Compliance has long been a labor-intensive discipline, with teams reading regulations, tracking changes, and reviewing transactions one at a time. AI and RegTech are shifting parts of that work toward continuous monitoring, automated risk scoring, and faster response to regulatory change. This course gives you a calm, structured introduction to where AI fits in modern compliance. You will learn what RegTech actually covers, where AI adds value, and how compliance teams can adopt these tools without losing the human judgment that regulators expect. The course stays grounded in widely used concepts and respects the high-stakes nature of compliance work. What you'll learn: - Understand the goals of modern compliance and how RegTech is reshaping common workflows - Recognize where AI adds value including transaction monitoring, regulatory change tracking, and risk scoring - Explore the role of natural language processing in reading regulations and surfacing relevant changes - Read the typical workflow from rule identification to automated checks to human review and escalation - Identify the risks of automated compliance including model bias, explainability gaps, and regulator skepticism - Understand the integration points between RegTech tools, GRC platforms, and core business systems The course begins with the goals of compliance work, moves through where AI and RegTech fit in, and closes with the risks and responsibilities that come with these tools. Written exercises help you connect each concept to a realistic regulatory context. This course is designed for compliance professionals, risk managers, and legal operations specialists with no prior AI background. It is also useful for technology professionals exploring compliance work. No prerequisites are needed. The course is informational and does not provide legal or regulatory advice; it builds the literacy that lets you ask better questions.