Financial advice is a relationship business with a heavy paperwork load. For every hour an adviser spends with a client, there are hours of fact-finds, file notes, review packs, suitability reports and back-office updates. AI for financial advisers is now making a real difference in UK advice firms and wealth managers, not by giving advice, but by taking on the administration around it.
This guide covers what to automate first, how AI in wealth management fits with the FCA's expectations, and the safeguards to put in place.
Will AI replace financial advisers?
Not for firms built on relationships. Clients still want a person they trust to understand their circumstances and take responsibility for the recommendation. What AI changes is how much of the week goes on administration. Firms that adopt it well can serve more clients, or serve the same clients better, without growing the back office.
What financial advisers should automate first
Meeting notes and file notes
Usually the quickest win. A call or meeting is transcribed and summarised into a structured file note, with actions and key facts drafted for the adviser to check, edit and approve, then written back to your back-office system. Notes are written while the meeting is fresh, and they are more consistent from adviser to adviser.
Annual review packs
Before each review, someone gathers valuations, performance, previous notes, outstanding actions and changes in circumstances from several systems. An automated workflow can assemble a draft pack the week before every review, ready for the adviser to check and personalise.
Client onboarding, KYC and AML
Fact-finds, risk questionnaires, terms of business, ID verification and anti-money-laundering checks are often re-keyed across several platforms. KYC automation brings them into one guided digital flow: the client enters information once, checks start automatically, documents are collected and the client record is created, with the adviser seeing what's outstanding at a glance. The checks themselves still run through your chosen verification provider, and a person reviews anything flagged.
Suitability report drafting
AI can produce a first draft of a suitability report from the fact-find, meeting notes and your own templates. The adviser stays fully responsible for the recommendation and the final wording; the time saved is in assembling and drafting, not deciding.
Internal knowledge for paraplanners and administrators
A private assistant that answers from your investment process, policies, research and past file notes, citing its sources, helps paraplanners and administrators find answers without interrupting advisers.
Client communications
Routine updates, document reminders and appointment scheduling can be automated and personalised, with anything that could amount to advice always routed to a person.
AI in wealth management
Wealth managers face the same administrative load at greater scale, plus portfolio reporting. Beyond the uses above, AI in wealth management is being used to:
- draft quarterly client reports and commentary from portfolio data, for a manager to review;
- summarise research and market updates for client-facing teams;
- prepare for client meetings by pulling together holdings, recent correspondence and open actions;
- spot clients due a review or affected by a market event.
In each case, the value is preparation and consistency, with investment decisions and client communication staying with people.
AI and the FCA
The FCA has said its existing rules apply to firms' use of AI, rather than creating a separate regime. The frameworks that matter most for an advice firm are:
- The Consumer Duty. Firms must deliver good outcomes for retail customers. Any AI that affects what clients see or receive should be designed and tested with that in mind, including how it treats vulnerable customers.
- The Senior Managers and Certification Regime. Responsibility for how technology is used sits with named people in the firm.
- Record-keeping. Accurate, complete records of client interactions are expected. Well-designed AI note-taking can improve this, provided a person reviews what is recorded.
- Data protection. UK GDPR applies in full to anything you send to an AI service.
None of this stops firms using AI. It means using it deliberately, with clear ownership and evidence of how it works.
Safeguards worth insisting on
- A person approves anything that reaches a client. AI drafts; advisers decide.
- A full audit trail of every prompt, output, source and action.
- No training on your data. Use enterprise AI agreements that exclude client data from model training.
- UK or EU data residency wherever it's available.
- Testing on real examples before launch, and regular checks afterwards.
- A clear boundary on advice. Client-facing assistants must know what they may discuss and hand over to a person for anything that could be construed as advice.
Specialist software or a tailored setup?
There are now specialist AI tools for UK advisers, particularly for meeting notes. They're a good option if they fit your back office and your process. A tailored setup makes sense when you need several steps joined up, such as notes flowing into review packs, onboarding linked to your back office and CRM, and reporting across all of it, or when your process doesn't fit a standard product. Our guide to AI automation agencies covers what this kind of work costs.
How FDE Solutions can help
For wealth managers, advisers and other financial firms, we automate the work around the advice: onboarding, review preparation, file notes and reporting. We build around platforms such as Intelliflo, Xplan, Salesforce and Microsoft 365, designed to support Consumer Duty and record-keeping obligations, with a person approving anything before it reaches a client.
See what we build for financial services firms or book a discovery call.