AI tools for insurance agents: how to choose

AI tools for insurance agents fall into five jobs: the AI built into your agency management system, quoting help, certificate requests, renewal and policy checks, and first notice of loss intake. Start with the AI your agency system already offers, then add a separate tool only for work that crosses carrier portals, raters and the shared inbox. Licensed staff keep coverage decisions, and binding or issuing a policy follows the carrier’s authority.

Start with the AI inside your agency management system

If you run Applied Epic, Vertafore AMS360, HawkSoft, EZLynx or QQCatalyst, ask that vendor first which AI features are live on your plan. Applied and Vertafore have both announced AI products, and neither publishes a price for them, so ask for the all-in annual cost. The vendor releases are cited on our AI for insurance agents page. When you compare insurance CRMs beside the AMS, read the AgencyZoom comparison.

On May 20, 2026, Applied described Recon as commission reconciliation that runs inside Epic. The release states no price. On September 29, 2026, Applied launched Epic Conductor, and that release does not say when an agency can turn it on. Read those statements on the AI for insurance agents page rather than treating a press date as a start date.

On Vertafore’s Velocity page, Policy Check, Policy Intake and Reconciliation are among the agents marked live. A search in October 2026 turned up no public API terms for AMS360. Those statements are cited on the AI for insurance agents page.

What agencies report about AI

The 2026 Agency Universe Study, released September 23, 2026, says 46% of agencies report using AI, up from 15% in 2024. IA Magazine reported on July 15, 2026 that only 8% of agencies have truly embedded AI in their daily workflow. One figure is reported use. The other is daily embedding. They answer different questions.

The same reporting puts lack of knowledge about AI at 60% and security and privacy at 48% among the barriers agencies describe. Multiple carrier interfaces are described as the biggest technology challenge. A tool that cannot see those carrier screens leaves the hard part of the week untouched.

Reported uses in the study include marketing content at 49%, coverage form analysis at 43% and contract reviews at 35%. Those are categories agencies said they use, not a score for any product and not a result from a Precision engagement. The same figures are cited on the AI for insurance agents page.

AI tools for insurance agents, by job

The paragraphs below sort tools by the job, not by a product list. Each one says what the tool prepares and what you should ask before a pilot. Licensed staff still decide coverage.

Service requests arrive by email, phone notes and portal messages. A tool here classifies each request, pulls the policy record from the agency system and drafts a reply or task for the account manager. Ask whether it reads your shared inbox, which AMS fields it can see, and whether replies wait for approval before they send.

Quote intake is mostly re-keying: the prospect’s details, prior declarations pages and loss runs go into a comparative rater or carrier portal. A tool can extract those fields and pre-fill the form. Ask which raters and carrier portals it reaches, how it handles a portal with no API, and who reviews the entries before a quote is run.

On the agency side, a certificate request means checking the holder, additional insured and waiver wording against the policy before a COI is issued. A tool can fill the certificate from the policy record and flag endorsement gaps. Tools that collect certificates from vendors are a different category. Our insurance certificate request guide walks through the agency-side steps.

Renewal work starts with a complete expiring-policy file. A tool can gather the file, list missing information and compare selected fields between the expiring and renewal policy documents. Ask whether differences are flagged for a licensed reviewer rather than resolved by the tool, and whether each check is logged.

Some AI vendors sell claim intake to carriers. For claims that start with the agency, a tool can capture the insured’s account, the date, photos and the policy number in one record. Staff still report the claim to the carrier and decide what to tell the insured.

Errors and omissions exposure often comes from advice nobody wrote down: coverage declined, a limit discussed, an exclusion explained. Look for tools that record who reviewed what and when, with the source documents attached. A short list of each tool and the data it sees makes those reviews easier to check.

A written AI policy and the NAIC bulletin

Adopted December 4, 2023, the NAIC model bulletin is a template state insurance regulators can issue to insurers. Where a state issues it, insurers are expected to keep a written program for AI used in regulated insurance practices, including systems from third-party vendors. The bulletin does not address agencies, so ask each carrier what its contract requires of yours. This is not legal advice.

An agency can start with a short internal list: each tool, the data it may see, how long that data is kept, and who approves a send. Keep review records with the documents a person checked, under your retention rules. The list does not replace a carrier’s requirements, any information security program your state requires, or advice from counsel.

Liberty Mutual’s Agent for the Future keeps a public database of AI vendors for insurance agents. Treat that database as a directory you can read, not as an endorsement and not as a statement that any listed product fits your book. This page does not link to it and does not recommend a vendor from it.

How to choose AI tools for an insurance agency

Work through the list in order. If the agency system already covers the job on your plan, stop there.

1. Ask your agency-system vendor first: which AI features are live on your plan, what they cost and what they reach.
2. List the two manual steps that cost your team the most time, and judge each tool on those steps only.
3. Confirm each connection: agency system version, carrier portals, raters and the shared inbox, and read versus write access.
4. Check the review point: a licensed person reviews coverage, the carrier’s authority governs binding and issuing, and sends wait for approval.
5. Agree data access and retention in writing before a pilot, and ask carriers what their agreements pass to you.
6. Measure before and after: request-assignment time, missing renewal details and preparation time per file.

Those three measures describe the work. They are not a promised saving. The AI for insurance agents page treats the same jobs as workflows a person still reviews.

Where Precision AI OS fits

Precision AI OS fits work that crosses the agency system, carrier portals and the shared service inbox, where single-system AI stops. Agents prepare the file and stop for review; licensed staff make every coverage decision. Managed is taking discovery calls now; other plans are coming. For how to pick a partner, see the AI implementation partner guide for insurance agencies.