What you'll learn

Insurance workflows are often siloed, slow, and bogged down by manual documentation, leading to customer churn and high loss adjustment expenses. In this course, Agentic AI in Insurance, you’ll gain the ability to design and implement autonomous AI agents that handle complex end-to-end insurance processes. First, you’ll explore what agentic AI really means and how it differs from traditional automation tools like RPA, focusing on autonomy, goal-directed behavior, and decision-making within clear parameters. Next, you’ll discover why insurance is uniquely suited for agentic systems by breaking down real-world claims workflows, identifying high-ROI opportunities, and understanding where human-in-the-loop checkpoints are essential for accuracy, compliance, and data protection. Finally, you’ll learn how agentic AI is applied in practice, from autonomous claims intake and intelligent triage to data synthesis for underwriting and next-generation customer service, along with regulatory and ethical considerations such as explainability, bias mitigation, and accountability. When you’re finished with this course, you’ll have the skills and knowledge of agentic AI in insurance needed to identify high-impact use cases, implement responsible guardrails, and confidently lead AI-driven transformation initiatives in regulated environments.