AI in insurance is the use of machine learning, predictive analytics, and generative AI to improve underwriting, pricing, claims processing, fraud detection, customer service, and insurance distribution. Insurers use AI to automate workflows, improve risk assessment, reduce costs, and deliver better customer experiences. Explore AI applications, expert speakers, and related sessions at ITC Vegas 2026.

SEE AI SESSIONS (opens in a new tab)
REGISTER (opens in a new tab)

Reviewed by Patti Harman, updated July 2026

USE CASES (opens in a new tab)
BENEFITS & RISKS (opens in a new tab)
AI AT ITC VEGAS (opens in a new tab)
WHAT COMES NEXT (opens in a new tab)
FAQS (opens in a new tab)

Where AI is used in insurance

The main areas where carriers and insurtechs are putting AI to work today.

Underwriting and pricing

Risk models that price more accurately and quote faster, with less manual review.

Claims

Automated intake, triage and settlement, with faster, more consistent decisions.

Fraud detection

Pattern detection that flags suspicious claims earlier and reduces leakage.

Customer service

Generative AI assistants that handle queries and free up human teams.

Distribution and agents

Lead scoring, recommendations and support that help agents sell and serve.

Document and data

Extracting and structuring data from forms, policies and submissions.

Benefits

  • Faster quoting, claims and service
  • More accurate pricing and risk selection
  • Lower cost to serve and reduced leakage
  • Capacity for teams to focus on complex work

Risks and governance

  • Model bias and fair pricing
  • Explainability and regulatory compliance
  • Data privacy and security
  • Human oversight of automated decisions

AI in insurance at ITC Vegas 2026

See the topic come to life across the agenda, the stage and the expo floor. Items below are examples, populated live from tagged agenda content.

SESSIONS ON THIS TOPIC

AI
The AI-Powered Innovation Summit sponsored by ServiceNow
Day 1 · Topical Summit
AI
AI in Action
Days 2 & 3 · Content stage
AI
AI-Native Systems vs. Retrofitted Tech: What Actually Scales?
Day 2 · Session
AI
The weaponization of AI and cyber insurance
Day 3 · Session

VIEW FULL AGENDA (opens in a new tab)

SPEAKERS ON THIS TOPIC

Loading
Speaker profile image for Robin Gordon

Robin Gordon

Chief Data Officer, Hippo Holdings
Speaker profile image for Kenny Holms

Kenny Holms

Chief Data Science & AI Officer at Accelerant, Accelerant
Speaker profile image for Kyle Nakatsuji

Kyle Nakatsuji

CEO and Co-Founder, Clearcover, Inc. and Dearborn Labs
Speaker profile image for Sai Vishnubhatla

Sai Vishnubhatla

Head of AI and Product Innovation, USAA

    VIEW ALL SPEAKERS (opens in a new tab)

    SOLUTIONS ON THE EXPO FLOOR

    VIEW FULL SPONSOR LIST (opens in a new tab)

    What comes next for AI in insurance

    Agentic AI, real time pricing and embedded decisioning are the themes moving from conversation to deployment. The 2026 edition tracks how carriers are moving these from pilot to production. This section is refreshed each year so the page stays current.

    Frequently asked questions

    Underwriting and pricing, claims processing and triage, fraud detection, customer service and distribution support.

    AI is automating repetitive tasks and supporting decisions, with human oversight remaining central to complex and regulated work.

    Model bias, explainability, regulatory compliance, data privacy, and the need for human oversight of automated decisions.

    ITC Vegas 2026 runs a dedicated AI summit and sessions across underwriting, claims and fraud, from September 29 to October 1 at Mandalay Bay, Las Vegas.
    Patti Harman

    Patti Harman, Head of Content
    Reviewed and updated July 2026. This page is refreshed each edition as the agenda and speakers are confirmed.
    Learn about Patti