AI for SME insurance brokers and advisers: where the early wins are

UK financial services is, by some distance, the most AI-active sector in the country — but the headline number hides who is actually doing it. The widely-quoted figure that around three-quarters of financial-services firms now use AI comes from a regulator survey of mostly large institutions; among insurers it reaches 95%. Brokers your size are a different story. On the most recent broker research, only about one in five UK brokers is working with AI at all: roughly 45% of national brokers have made a start, but barely one in ten regional or single-office firms have. So the honest read for an SME broker or advice firm isn't "three-quarters of my competitors are ahead of me" — it's that the big players have proven where AI pays, while among firms your size the field is still wide open.

That gap is the opportunity. The larger firms have proven where AI pays in this sector; the smaller brokers who move now can take those same wins — without the enterprise budget, and ahead of most of their peers — while respecting the one thing that makes financial services different: it's regulated, and the regulator cares how you use AI, not just whether you do.

Where the early wins are

Taking the admin off the desk

The day-to-day of broking and advice is heavy with documents and email — quotes, demands-and-needs statements, policy wordings, client correspondence. AI is well-suited to reading, summarising, drafting and routing this material, giving advisers back the hours they lose to processing.

Faster, more consistent client servicing

Drafting first responses, summarising long client histories, preparing for renewals and reviews — the work that decides how quickly and consistently clients are looked after. The British Insurance Brokers' Association has pointed to AI processing large volumes of data at speed as one of the sector's clearest uses.

Turning conversations into records

This is where financial-services AI earns its keep twice over. Tools that capture a client meeting and turn it into a structured note don't just save time — they help build the suitability record the rules already require.

The catch: the regulator is technology-neutral, not absent

The UK has deliberately avoided a separate "AI rulebook" for financial services. Instead, the FCA applies the rules you already know — Consumer Duty, the Senior Managers & Certification Regime, and conduct requirements such as suitability record-keeping — to whatever you do with AI. In practice, a few things matter from day one:

• Records. Where AI helps shape advice, you still need to show what was recommended and why. The audit trail doesn't get a pass because a machine helped.
• Outcomes. Consumer Duty expects you to monitor and evidence good client outcomes on an ongoing basis — including where AI touches the journey.
• Accountability. Under SM&CR, a named senior person owns the outcome. "The tool did it" is not a defence.

The FCA is expected to publish more practical guidance on applying these rules to AI by the end of 2026. The firms that adapt most easily will be the ones that build the habit now: use AI to assist, keep a person accountable, and keep the record.

A sensible first move for a smaller firm

Pick one high-volume, low-risk task — summarising correspondence, drafting routine documents, preparing renewal packs — and run it with a clear rule that a person reviews and owns the output. Prove the time saved, confirm the records stand up, then widen it. You get the productivity the larger firms are reporting, on a scale you can actually govern.

Sources: Bank of England / FCA, AI in UK Financial Services (2024); Open GI broker AI research, presented at BIBA (2025); Lloyds Financial Institutions Sentiment Survey (2025); FCA statements on Consumer Duty, SM&CR and conduct rules (2025–2026); British Insurance Brokers' Association evidence. General information, not legal or compliance advice.