AI in insurance is the use of machine learning and language models across the policy lifecycle: answering policyholder questions, taking quote requests, filing a first notice of loss, triaging claims, spotting fraud, and helping underwriters and agents work faster. Most of the coverage you'll find is written for carrier executives. This guide is for the people doing the work: agency owners, customer service leads, and claims teams who want to know which tools to use and where they pay off.
We'll cover where AI is already used, the practical use cases worth starting with, the best AI tools for insurance agents and carriers, and what to watch from a regulatory point of view.
How widely is AI used in insurance?
Very widely, at least at the carrier level. The National Association of Insurance Commissioners (NAIC) has surveyed insurers line by line. The share of companies that currently use, plan to use, or plan to explore AI and machine learning was:
- Private passenger auto: 88% (2022 survey of 193 companies)
- Homeowners: 70% (2023 survey)
- Life: 58% (2023 survey)
- Health: 92% (2025 survey)
In the auto survey, claims was the most common area of current use (70% of companies using AI), ahead of marketing (50%) and fraud detection (49%).
The customer-facing side is further behind. J.D. Power's 2026 U.S. Insurance Digital Experience Study found only 11% of customers used a chatbot or virtual assistant while shopping for insurance. But those who did reported satisfaction 132 points higher on a 1,000-point scale than those who didn't. That gap is the opportunity for agencies and carriers that get the service experience right.
Where AI helps most: practical use cases
Customer service and policy questions
The largest share of inbound contact at most agencies and carriers is routine: what's covered, what's my deductible, how do I add a driver, can I get my ID card. These are answerable from your own policy documents.
- An AI agent answers from your coverage guides and policy documents, citing the source.
- It sends documents like ID cards or declarations pages when connected to your systems.
- It flags questions it couldn't answer so you can fill the gap.
- It works 24/7, which matters right after an accident or storm.
Quote intake and lead qualification
Prospective customers often arrive on your website outside business hours. An AI agent can take the first step of a quote without making them fill out a long form.
- Collects the basics: line of business, vehicle or property details, current carrier, renewal date.
- Captures the prospect as a lead for a licensed agent to follow up.
- Books a call with a producer when the prospect is ready.
This is the use case most agencies underuse. See how AI lead capture handles qualification.
First notice of loss (FNOL)
FNOL is where speed and accuracy matter most. A conversational AI gathers incident details in plain language, asks the follow-ups a static form can't, and confirms receipt with a claim number.
- Available the moment something happens, day or night.
- Produces a more complete record on the first pass.
- Pauses for adjuster review on the cases you define.
We go deeper in our guide to claims processing automation.
Claim status and document collection
"Where's my claim?" is the insurance version of "where's my order?" An AI agent looks up the claim and returns its stage, the assigned handler, and the next step. It can also tell the policyholder which documents are still needed and log what's been received.
Renewals and retention
Premium increases at renewal drive a lot of calls and a lot of churn. AI helps in two ways:
- Explaining premium changes and coverage options in plain language, from your own content.
- Flagging churn signals in conversations (a policyholder shopping around, a complaint about price) so a producer can reach out before the renewal date.
Claims triage, fraud, and damage assessment
This is carrier-side AI: computer vision that estimates vehicle damage from photos, models that predict which claims will become expensive, and fraud detection across claim histories. It's powerful, enterprise-grade, and usually a long implementation.
Agent and staff productivity
General AI assistants and AI features inside agency management systems summarize email threads, draft client emails, and pull data from documents into applications. For many agencies, this is the easiest first win.
Best AI tools for insurance agents and agencies
Every competitor's features and pricing were checked on the vendor's official website. Pricing is as of September 2026. Most insurance-specific vendors don't publish prices. Bund AI is our product, and its limitations are listed as plainly as everyone else's.
Bund AI
Bund AI is an AI agent for your website chat and email inbox, with an insurance tool pack for policy questions, claim status, FNOL, and quote requests.
Best for: Independent agencies, MGAs, and smaller carriers that want an insurance chatbot that answers and acts, without an enterprise project.
Key features:
- Answers policy and coverage questions from your documents, with sources.
- Checks claim status, files a first notice of loss, and requests documents when connected to your systems through custom actions.
- Captures quote requests as leads and books calls with producers via Google Calendar, Cal.com, or Calendly.
- Hands off to a licensed agent or adjuster with the full conversation.
- 40+ languages, 24/7, with one memory across web chat and email.
Pricing: Basic $0.99/month, Starter $49/month, Growth $99/month, Scale $199/month, Enterprise custom. Flat plans, no per-resolution fees. See pricing.
Limitations: Bund AI doesn't hold compliance certifications, so check it against your own security and regulatory requirements. It has no native integration with agency management systems like EZLynx or Applied Epic. Connecting to your systems runs through custom HTTP actions. No phone or voice line.
See the full AI customer service for insurance page for how it's configured.
EZLynx (EVA)
EZLynx is an agency management system and comparative rater for independent agencies, with built-in AI called EVA.
Best for: Small and mid-size independent P&C agencies.
Key features:
- Email content assist and account summaries across emails, texts, and notes.
- Automated text replies, such as sending ID cards.
- Turning documents into pre-filled personal lines applications.
- Comparative rating across 330+ carriers.
Pricing: Not published. Contact sales. EZLynx doesn't state whether EVA is included or extra.
Limitations: AI features work only inside EZLynx. Strongest for personal lines.
Applied Epic
Applied Epic is an agency management system for mid-size and large agencies, with a growing set of AI features.
Best for: Mid-to-large independent agencies and brokers.
Key features:
- Email summarization into Epic activity notes.
- AutoFill from documents into Epic fields.
- Book Builder to find coverage gaps and cross-sell opportunities.
- Renewal insights that explain premium changes.
Pricing: Not published. Contact sales.
Limitations: Applied describes several features as shipping or in pilot, and some are paid add-ons.
Microsoft 365 Copilot and ChatGPT Business
General AI assistants for drafting emails, summarizing policies, and preparing renewal reviews.
Best for: Everyday writing and summarizing work across the agency.
Key features:
- Drafts client emails and renewal summaries.
- Summarizes long policy documents and email threads.
- Copilot works inside Outlook, Word, and Excel.
Pricing: Microsoft 365 Copilot Business is $21/user/month and Enterprise is $30/user/month, both requiring a qualifying Microsoft 365 license. ChatGPT Business is $20/user/month billed annually ($25 monthly), minimum 2 seats.
Limitations: Not connected to your policy data by default. Don't paste sensitive client information into any tool without checking your data policies.
Intercom Fin
Fin is a general AI support agent that runs on Intercom or plugs into another help desk.
Best for: Carriers and insurtechs with an established support team and help desk.
Key features:
- Answers across chat, email, and phone.
- Takes actions in external systems.
- Handoff to human agents in the same inbox.
Pricing: $0.99 per Fin outcome, plus Intercom seats from $29/seat/month billed annually.
Limitations: Per-outcome pricing grows with volume. Not insurance-specific.
Best AI tools for insurance carriers
Hi Marley
Hi Marley is a texting and communication platform built for P&C insurance.
Best for: P&C carriers improving claims and service communication.
Key features:
- Conversational FNOL by text.
- AI Assistant for automated updates and suggested next actions.
- Conversation summaries and suggested responses.
- Connects policyholders, adjusters, and repair shops in one thread.
Pricing: Not published. Demo only.
Limitations: Sold to carriers and requires core-system integration. Not an agency tool.
Tractable
Tractable uses computer vision to assess vehicle damage from photos.
Best for: P&C auto carriers.
Key features:
- FNOL triage into total loss, repairable, or cash settlement.
- AI preliminary repair estimates.
- Claim review and subrogation insights.
Pricing: Not published. Demo only.
Limitations: Auto physical damage only, and an enterprise integration.
Shift Technology
Shift Technology provides AI agents for claims automation and fraud detection.
Best for: Large P&C carriers.
Key features:
- Fraud detection with investigation guidance.
- Coverage, liability, and subrogation agents.
- Medical bill review for injury claims.
Pricing: Not published.
Limitations: Enterprise carriers only, with a heavy implementation.
Sprout.ai
Sprout.ai automates claims processing by reading unstructured documents and checking them against policy terms.
Best for: Carriers, TPAs, and MGAs across health, life, motor, home, and commercial lines.
Key features:
- Extracts data from documents, handwritten notes, and photos.
- Checks claims against policy terms.
- Fraud and anomaly detection with explainable decisions.
Pricing: Not published.
Limitations: Enterprise implementation with core-system integration.
Gradient AI
Gradient AI builds predictive models for underwriting and claims.
Best for: Workers' comp, group health, and commercial P&C carriers, MGAs, and PEOs.
Key features:
- Underwriting risk scores.
- Claims risk ranking that predicts which lost-time claims will become expensive.
- Portfolio loss-trend monitoring.
Pricing: Not published.
Limitations: A data and model product, not a customer service tool. Strongest outside personal lines.
Salesforce Financial Services Cloud with Agentforce
Salesforce's CRM for insurers and brokers, with AI agents for service.
Best for: Carriers and large brokerages already on Salesforce.
Key features:
- Insurance service assistant that summarizes policyholder and quote details.
- Guided workflows for common service transactions.
- Customer-facing AI agents.
Pricing: Financial Services Cloud from $325/user/month billed annually. Agentforce add-ons from $125/user/month, with usage-based pricing for customer-facing conversations.
Limitations: Expensive and usually needs an implementation partner.
What an insurance chatbot should and shouldn't do
An insurance chatbot is worth deploying when it's grounded in your documents and knows its limits. It should:
- Answer coverage and process questions from your real policy documents.
- Take routine actions: claim status, FNOL intake, document requests, quote intake.
- Hand off to a licensed person for binding coverage, coverage disputes, and anything legal.
It shouldn't:
- Give binding coverage decisions or advice that requires a license.
- Guess. "Let me connect you with your agent" beats a wrong answer about coverage.
- Hide that it's an AI.
For the handoff side, see our guide on when AI should hand off and how escalation and handoff works in practice.
The regulatory picture
AI in insurance is regulated at the state level in the US. The NAIC adopted its Model Bulletin on the Use of AI Systems by Insurers on December 4, 2023. As of April 2026, 24 states and Washington, D.C. had adopted it, and several large states, including California, Colorado, New York, and Texas, have their own insurance-specific AI rules. The bulletin expects insurers to have a written AI program, governance, and controls to prevent unfair discrimination.
For agencies, the practical takeaways are to document which AI tools you use and for what, keep a human in the loop for decisions that affect coverage or claims, and check each vendor's security and data handling against your carrier agreements.
How to get started with AI in your agency
- Pick the highest-volume question. For most agencies it's policy servicing (ID cards, coverage questions) or claim status.
- Gather your source content. Coverage summaries, FAQs, claims instructions, office hours, and carrier contact lists.
- Start on one channel. Website chat or your service inbox is the easiest place to begin. See AI email support.
- Define the handoff rules. Coverage changes, disputes, and anything emotional go straight to a person.
- Measure resolution, not conversations. Track how many requests are fully resolved without a person, and how fast.
Frequently asked questions
How is AI used in insurance?
AI is used across the policy lifecycle: answering customer questions, taking quote requests, filing first notice of loss, checking claim status, triaging and pricing claims, detecting fraud, supporting underwriting, and helping staff draft and summarize. NAIC surveys show most auto, home, and health insurers use or plan to explore AI.
What are the best AI tools for insurance agents?
For customer-facing service and quote intake, an AI agent like Bund AI or Intercom Fin. For agency workflow, the AI built into your agency management system, such as EZLynx EVA or Applied Epic. For writing and summarizing, Microsoft 365 Copilot or ChatGPT Business.
What can an insurance chatbot do?
A good insurance chatbot answers coverage and process questions from your documents, checks claim status, gathers FNOL details, requests documents, and captures quote requests. It hands anything that needs a licensed person to your team with the full conversation.
Will AI replace insurance agents?
No. AI takes over repetitive servicing and intake so agents can spend more time advising clients, placing coverage, and handling claims that need judgment. Licensed advice and binding decisions still require people.
Is AI in insurance regulated?
Yes, at the state level. The NAIC Model Bulletin on the Use of AI Systems by Insurers, adopted in December 2023, had been adopted by 24 states and D.C. as of April 2026, and some states have their own rules. Insurers are expected to govern AI use and prevent unfair discrimination.
How much do AI tools for insurance cost?
Most insurance-specific platforms don't publish prices and are sold through sales demos. General tools are cheaper: Bund AI starts at $0.99/month, ChatGPT Business at $20/user/month billed annually, and Microsoft 365 Copilot Business at $21/user/month.