AI for Insurance Professionals
A comprehensive 8-module interactive course on applying AI to insurance workflows — from underwriting and claims to risk assessment and compliance. Built for underwriters, claims adjusters, actuaries, product managers, and compliance officers across P&C, life, reinsurance, and InsurTech.
AI for Insurance Professionals
This course teaches you how to apply AI to insurance workflows that actually matter — underwriting submission triage, claims processing, risk assessment, regulatory compliance, and portfolio analysis. Every example, prompt template, and workflow is built specifically for the insurance industry.
Who this is for
- Underwriters spending hours reading broker submissions and loss runs instead of pricing risk
- Claims adjusters buried in FNOL reports, medical records, police reports, and repair estimates
- Actuaries reviewing loss triangles, Schedule P filings, and IBNR development patterns
- Insurance product managers tracking rate filings and competitive positioning across dozens of states
- Compliance officers monitoring state-by-state regulatory changes, market conduct requirements, and NAIC model law updates
- Reinsurance professionals analysing treaty structures, bordereaux, and cession statements
- InsurTech leaders evaluating where AI fits into policy administration systems and digital distribution
What you'll learn
- Why AI is transforming insurance operations — and what Lemonade, Root, and Hippo are already doing
- How AI works, explained through insurance examples you recognise (context windows, claims file analysis, policy comparison)
- Practical AI workflows for submission triage, appetite matching, and loss history analysis
- How to use AI for FNOL triage, claims document extraction, fraud indicator detection, and reserve estimation support
- AI applications for catastrophe exposure analysis, concentration risk, and Schedule P review
- Regulatory compliance workflows — rate filing review, market conduct prep, and NAIC model law tracking
- How to build a credible business case for AI adoption at your carrier or MGA
- A 30/60/90 day implementation plan you can execute immediately
What you'll produce
By the end of this course, you will have a working library of insurance-specific prompt templates, a clear understanding of which workflows to automate first, and a concrete implementation plan tailored to your carrier's size, lines of business, and current technology stack.
Course Structure
Foundation — Why AI matters for insurance, how it works, and what to trust it with.
Practitioner — Hands-on AI workflows for underwriting, claims processing, risk assessment, and regulatory compliance.
Leadership — Building the business case and executing a 30/60/90 day rollout plan.
Ready to get started? Begin with Why AI Matters for Insurance.
Your 30/60/90 Day Implementation Plan
A structured roadmap for ESG teams to implement AI-assisted workflows, from first pilot through to continuous monitoring — aligned with regulatory deadlines and your team's capacity.
Why AI Matters for Insurance
The paper mountain, manual underwriting bottlenecks, claims leakage, legacy system constraints, and the combined ratio pressure driving AI adoption across P&C, life, reinsurance, and InsurTech.