AI for insurance - UK

AI for insurance brokers in the UK

A UK broker does not have a data problem, it has a format problem: the same risk arrives as a spreadsheet, a PDF, an email body and a phone call, four times a year.

Broking margins are made in the handling. Submission preparation, market presentation, quote comparison and renewal chasing are all high volume, deadline driven and almost entirely document shaped. That is the profile where automation pays quickly, provided the FCA obligations are treated as build requirements rather than as a legal review at the end.

Four workflows in order of payback

• Submission intake. Extract the risk data from whatever format it arrived in into a single schema, flagging gaps for the handler instead of guessing them. Most brokers underestimate how much time is lost to rekeying the same schedule.
• Market presentation. Draft the presentation from the extracted risk plus the firm's past submissions for similar risks, with the handler editing rather than composing.
• Quote comparison. Normalise carrier responses into one table with the coverage differences called out. This is where errors are expensive, so it stays advisory with the differences cited back to the quote document.
• Renewal chasing. Deterministic, dull, and the easiest thing on this list to automate end to end.

Where consumer duty draws the line

Consumer duty asks whether the customer got a good outcome and whether the firm can show it. That has direct consequences. Any AI output that shapes a recommendation to a retail client needs a stored trace: what was retrieved, what was generated, who reviewed it, and what they changed. Suitability and demands and needs stay with the qualified person, with the system preparing the material rather than deciding. And communications produced by a model are still financial promotions, so they pass the same approval route as anything else.

The commercial argument

Automating intake and renewals does not reduce headcount in most broking firms, it moves capacity from keying to placing. The number to track is submissions handled per handler per week, before and after. If a supplier cannot tell you which number will move, the project has no thesis.

Getting started

Instrument one line of business before building anything: count the submissions, the average handling time, and the rekeying. Digiton is a Lisbon based AI agency and product studio with production deployments across 8 countries, and starts every engagement with a short AI audit that produces those numbers plus the trace and approval design the FCA position requires.

Frequently asked questions

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