AI for insurance brokers: what it can do, where to start

AI can already prepare much of the repeat paperwork in a broker's office (the US word is agency): renewal submissions, quote comparisons, policy checks, change requests, claim lists, schedules and statement matching. "AI" here means software that reads and writes text. Start with one job your team repeats and dreads, and let your people keep every decision.

Key points

AI can prepare repeat paperwork such as renewals, quote comparisons, policy checks and statement matching.
It reads, copies and compares. A person checks the draft and makes the decision.
Advice, judgement and accountability stay with your team.
Start with one job that repeats often, can be checked afterwards and does no harm if the first draft is wrong.

What do these words mean?

These are the terms this guide uses, in plain words.

BMS or AMS: The software that holds your clients, policies and renewal dates. BMS is the UK term and AMS is the US term.
AI tool: A piece of software that reads and writes text for you. Some do one job and some do many.

What can AI do for an insurance broker?

AI can read documents, copy details between systems, compare two versions of something and draft a note about what it found. Most of the useful work is unglamorous. A person used to do the reading and the typing, and now a system prepares a draft for the person who knows the client.

Every office task has the same shape. Information arrives in an untidy form, someone makes it tidy, someone checks it, and someone decides what to do. AI helps with the second step. It does not replace the fourth.

The same tools also help with everyday writing: a first draft of a client email, a summary of a long policy wording, notes from a meeting, or a written procedure for a task only one person knows. Our guide to using AI in an insurance agency lists these by area of the office.

How do insurance brokers use AI?

In practice the work falls into seven jobs, and each has its own guide:

Preparing renewals: gathering what changed, comparing wording with last year, and listing what is missing.
Comparing quotes: lining up premium, excess (the US word is deductible), limits and exclusions, each tied to its source.
Checking issued policies: reading the policy that arrived against the terms you agreed.
Processing policy changes: turning a client's request into a complete mid-term adjustment (often called an endorsement in the US).
Tracking claims: keeping one record per claim and a list of what is still outstanding.
Preparing property and fleet schedules: building one clean schedule from spreadsheets and attachments.
Matching insurer statements: checking commission lines against your own records.

A made-up example: an office of thirty people spends the first Monday of every month matching commission statements against its own records. The statements arrive as spreadsheets and PDFs, the records sit in the management system (a BMS in the UK, an AMS in the US), and one person loses most of a day to it. The job repeats, you can check the answer line by line, and a draft sits safely until someone approves it. That makes it a good first job.

What should AI not do?

AI should not make the decisions that carry your name. Advice, judgement and accountability stay with people. Your team confirms facts with the client, chooses which insurers to approach, decides what to recommend, approves what is sent, and answers for it.

The FCA, the UK financial regulator, says on its page on its approach to AI: "We do not plan to introduce extra regulations for AI." Read that as the existing rules still applying to the work, whoever or whatever prepares it. Check with your compliance contact before you change how a regulated task is done.

A signed Insurance Times briefing by Mike Edgeley, group chief executive of Clear Group, published on 25 February 2026, puts the practical point this way: "AI may inform decisions, but accountability still rests with a human advisor." It is one writer's view, and it matches how a sensible office would set up the work anyway.

The UK broker body BIBA has published a guide on the subject. Cover magazine's report on that guide (27 June 2025) quotes BIBA's chief executive, Graeme Trudgill: "our aim is to help brokers navigate the new era of AI safely and within regulatory requirements." If you are a BIBA member, read the guide itself. This page does not summarise it.

Client data needs its own rules. Before anyone pastes a policy into a chat window, read whether ChatGPT is safe for client data.

What stays with a licensed person?

Three things should stay with a named person who holds the licence or authorisation your market requires:

Advising the client and recommending cover.
Confirming facts with the client and deciding what to do about a difference.
Answering to the client and to the regulator.

That is good practice, and it fits the FCA page quoted above. Our guide on whether AI will replace insurance brokers sets out the full list.

Where should a broker start?

Start with one job that repeats often, can be checked afterwards, and does no harm if the first draft is wrong. Pick it with four questions: how often it happens, how long it takes, how much it hurts, and how risky a mistake is. Our 90-day AI plan for a small agency walks through that choice and what comes after it.

Will AI replace insurance brokers?

Not the advice, the trust or the accountability, though some routine tasks will move to software. Nobody can say how fast. Our guide on whether AI will replace insurance brokers sets out what changes and what to do about it.

Hire, buy a tool, or have it built and run

An owner who wants less admin has four realistic routes. Each suits a different office, and each leaves different work with your team.

Hire another person. It suits work that needs judgement or varies a lot from case to case. Your office still trains, manages and covers for that person, and the cost is fixed whether the work is busy or quiet.
Use the AI already inside your BMS or AMS. It suits offices happy to work the way their software works. Your team still decides how to use each feature, checks every output, and carries the setup and training.
Buy a single-job AI tool. It suits one well-defined job, such as reading documents or drafting emails, where a tool already does that job well. Your team still connects it to the rest of the work, checks the results, and decides what to do when it gets something wrong.
Have a system built and run for you. It suits an office that wants a specific job taken off its desks without becoming the people who maintain software. The builder designs the system around your job, runs it, and watches it. Your team still approves the output and makes every insurance decision.

The routes combine. Many offices will use the AI in their management system and also hand one stubborn job to a built system. The question to ask of each route is the same: who is responsible when the output is wrong, and how soon will anyone know? The guide to choosing AI tools for insurance agents goes through what to ask before you buy.

Where Navicade fits

Navicade builds and runs AI systems that do this kind of work for insurance brokers and agencies. We start with a free 30-minute call and a free operations map of where your hours go. Then we take on one agreed task at a time, so you see it working before anything else is added. Results arrive in your existing tools. Insurance decisions stay with your team. The system checks its work on every run and alerts us.

A beginner may not need us yet. If you have not tried a general assistant on your everyday writing, that is the cheaper first step. If you want to start with the renewals row, read preparing renewals on the home page, then the renewals guide. To ask for the free call and map, go to our contact section.