AI for Irish insurance brokers

Part of AI by sector: what AI actually does, industry by industry.

AI for insurance brokers in Ireland earns its keep on the admin wrapped around the advice: chasing renewals before they lapse, writing up why one quote was recommended over another, and keeping a file that stands up to a compliance review.

A brokerage is a writing business that happens to sell insurance. The judgement call, which cover actually suits this client, takes a few minutes and a lot of experience. Everything else is correspondence: the renewal invitation, the follow-up, the second follow-up, the reasons-why letter, the file note, the mid-term adjustment, the claim update nobody asked for but everybody wants.

So here is a plain read on where AI helps a small or mid-sized Irish brokerage, what it should not be allowed near, and the first thing worth setting up.

What can AI actually do in a brokerage?

Four things: it drafts, it summarises, it searches, and it reminds. Every use below is one of those. It does not choose cover, it does not decide whether a policy is suitable, and it does not carry your regulatory responsibility. You do, and that does not move.

The split matters, because the sales pitch for AI in this sector tends to blur it. The recommendation is regulated advice. The letter explaining the recommendation is typing. Hand over the typing.

Renewal chasing: the job that quietly costs the most

Ask any broker where the money leaks and you get the same answer. Not lost quotes. Renewals that drifted, clients who went direct because nobody rang, the commercial account that lapsed in a busy fortnight.

Renewal chasing is a scheduling and drafting problem, which is exactly the shape of work worth automating:

  • The calendar, first. Before any AI, make sure every renewal date in the book triggers something on its own. Most broker management systems will do this and plenty of them are only half set up. If yours does it already, that is your automation and it cost nothing.
  • The invitation itself. Feed in the client, the cover in force, what changed this year and last year’s letter, and you get a first draft that reads like you rather than like a mailmerge. You check it, you add the thing only you know, you send it.
  • The second and third contact. The follow-ups are where the recovery actually happens and they are the ones that get skipped. A drafted nudge that a person reads and sends beats a perfect letter nobody wrote.

Two cautions. Nothing sends on its own to a client you have a relationship with, because the one time it goes out with the wrong premium in it undoes a year of goodwill. And a renewal where the risk has clearly changed needs a phone call, not a sequence.

Broker admin automation: quote comparisons and the reasons-why letter

Three quotes on screen, different excesses, different exclusions, one of them cheaper for a reason the client will not spot. Turning that into a page a non-specialist can read is a tedious piece of writing you do several times a week.

This is the strongest use in the list, with one condition attached. Give it the figures and the terms yourself, in a structure you control, and ask for the explanation in plain English. What it is good at is the prose: saying clearly that the cheaper policy carries a higher excess and excludes a thing this client actually needs. What it is bad at is reading the schedules for you. It will misread a table, it will invent a limit that looks plausible, and in a comparison document a plausible wrong number is worse than a blank.

The same applies to a statement of suitability. The reasoning has to be yours, because it is the record of advice you gave and you will be asked to stand behind it. The sentences can be drafted. If you want the general version of that argument, I set it out for a different regulated trade in the note on AI for Irish solicitors, and the rules travel.

Insurance paperwork in Ireland: the file, and finding what is in it

Most brokerages do not have a knowledge problem, they have a retrieval problem. What you told a client in 2023, or which insurer wrote that endorsement, is in the system and takes eleven minutes to find.

Two jobs worth handing over here:

  • File notes from a call. A two-minute voice note after the conversation, turned into a dated, readable note in the client file. Compliance reviews go badly on missing notes far more often than on wrong ones, and the reason notes go missing is that writing them up at half five is nobody’s favourite job.
  • Asking your own documents a question. Point a properly set-up tool at your policy wordings, insurer bulletins and procedures, then ask in normal language what a wording says about unoccupied premises. You get pointed at the clause. You still read the clause.

The bookkeeping side of a brokerage behaves like any other small practice, and the same limits apply: useful for the writing around the figures, unreliable on the figures themselves. There is more on that in the note on AI for accountants and bookkeepers.

Where AI has no business: the advice, and the client’s information

Two lines, both worth holding firmly.

The first is the advice itself. Suitability, whether to recommend a policy, whether a claim is worth pursuing, what to tell a client about a declinature. That is regulated activity with a named person accountable for it, and there is no version of this where a chat window shares the load. Anything that touches it gets read and signed by a human who understands the file.

The second is the information. Health details on a life or serious-illness case, dates of birth, PPS numbers, claims history, financial circumstances: none of it goes into a general consumer AI account to be tidied up. Much of that is special-category data under GDPR, and a brokerage holds it because a client had little choice about handing it over. The workable rule is to strip the identity before you ask for help, write about “a client with a prior claim in 2022” rather than a person, and put the real detail back yourself inside the systems you have already assessed. The general argument is in the note on putting client data into AI tools. This is general information, not legal advice, and your own regulatory obligations sit above all of it.

Where to start this quarter

Pick the renewal book, not the exciting thing. Count how many renewals in the last quarter got one contact instead of three, and fix that sequence first. It is the least glamorous item here, and the only one with money attached.

If you would rather have someone sit with you and work out the order for your own brokerage, that is what the AI Assessment is for: a fixed-fee look at how the week actually runs, ending with a plain plan and the first thing to set up, credited in full against a build if you go ahead. The advice stays yours. The typing around it does not have to take your evenings.

Book the AI Assessment

The assessment is credited in full if you go on to a build, and if I can’t find you five hours a week you pay nothing. See how it works.