AI for Insurance

Insurance teams learn to use AI across underwriting, claims, and customer service. The course covers claims and documentation, underwriting support, fraud signals, compliance, and customer communication. Participants finish able to speed up core insurance workflows with appropriate controls.

What this course covers

The course runs across 10 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Introduction to AI Tools in Insurance — Learn to navigate the AI interface, input unstructured policy data, and understand the core capabilities of AI in daily insurance workflows.
AI-Driven Underwriting: Risk Analysis & Data Extraction — Practice using AI to extract key risk factors from complex applicant documents and analyze underwriting data efficiently.
Underwriting Decision-Making and Policy Approval — Navigate a scenario-based exercise to make high-stakes underwriting decisions using AI recommendations while maintaining human oversight.
Claims Intake and Automated Documentation — Hands-on practice using AI to ingest claim forms, summarize damage reports, and auto-generate claims documentation.
Resolving Claims Discrepancies and Complex Cases — Evaluate complex, conflicting claims data using AI tools and make critical decisions on coverage and payouts in a simulated environment.
Fraud Detection: Analyzing Signals and Anomalies — Learn how to prompt and utilize AI to flag potential fraud signals, inconsistent documentation, and behavioral anomalies.
Evaluating Suspicious Claims under Compliance Standards — Engage in a decision-making exercise to investigate flagged claims, balancing fraud prevention with compliance and customer trust.
AI-Powered Customer Communication — Practice using AI to draft clear, empathetic, and personalized customer communications regarding claims and policy updates.
Handling Sensitive Customer Service Inquiries — Navigate a simulated customer service scenario, using AI assistance to resolve escalations and deliver difficult news effectively.
AI Governance, Privacy, and Human-in-the-Loop Controls — Review and practice implementing compliance controls, data privacy rules, and human verification steps to ensure responsible AI usage.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Predictive Modeling for Insurance, Insurance Regulatory Compliance, Property & Casualty (P&C) Insurance, AI Tool Usage, Identifying AI Use Cases, Insurance Underwriting, Claims Management.

Predictive Modeling for Insurance
Insurance Regulatory Compliance
Property & Casualty (P&C) Insurance
AI Tool Usage
Identifying AI Use Cases
Insurance Underwriting
Claims Management

Who it is for

Insurance, underwriting, claims. The material is pitched at intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Industry: Insurance track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Frequently asked questions

How long does this course take?

It runs roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code IND-INS.