AI for financial advisers and IFAs

The IFA who uses AI properly does not look like they are working harder than their peers. They look like they have a full back-office team handling everything except the client conversations. Their suitability reports are ready the same day as the meeting. Their quarterly updates go out on time, every quarter, to every client. Their compliance documentation is thorough and consistent. And they are in front of clients three days a week instead of two.

That is not a fantasy. It is what happens when an adviser systematically applies AI to every part of their workflow that does not require their professional judgement.

What changes when an IFA adopts AI

The time audit is the most revealing exercise any adviser can do. Take a week and track, in broad categories, where your time actually goes. For most IFAs the picture looks something like this: client meetings account for 25 to 35 per cent of working time. Everything else, the research, the reports, the letters, the compliance records, the complaint responses, the admin, takes the remaining 65 to 75 per cent.

AI attacks that second category directly. Not all of it, but enough of it that the balance shifts materially. Advisers who implement AI across their back-office workflows report cutting non-client time by 50 to 60 per cent. That time does not disappear. It becomes available for more client meetings, for business development, or simply for working fewer hours at the same revenue.

Suitability reports drafted from your meeting notes

Under FCA rules, suitability reports must demonstrate that the advice given is appropriate for the specific client. That means every report needs to reference the client's individual circumstances, their attitude to risk, their goals, their existing arrangements, and the reasons why the recommended solution meets their needs.

Writing this from scratch after every meeting is time-consuming, repetitive, and cognitively draining for work that is largely structural. AI handles the structure. You give it your meeting notes, the client's key facts, and the recommendation, and it drafts a suitability report that covers all the required ground. You review it, ensure the specifics are accurate, and add the professional judgements that only you can make.

What used to take 90 minutes per client takes 20. For an adviser seeing 10 clients a month, that is roughly 11 hours returned every month, just from this one change.

Quarterly client updates, written automatically

Client communication is one of the areas where IFAs most consistently underdeliver. Not because they do not care, but because writing individual updates for every client, every quarter, is a significant undertaking when you are also managing your caseload.

Notion AI and Claude are both excellent at taking a template, the client's current portfolio position, any relevant market context you provide, and producing a personalised quarterly update letter. You review, personalise where needed, and send. The whole process takes minutes per client rather than 20 to 30 minutes.

The clients who receive regular, clear, personal communication are the clients who refer their friends. The compliance benefit of documented, regular touchpoints is an additional advantage.

Research and product analysis, summarised

When a client's circumstances change and you need to review their arrangements, research is a significant time cost. AI tools can summarise the key features and charging structures of financial products, compare options across different criteria, and highlight areas that warrant closer attention. This is not a substitute for full due diligence, but it means you arrive at your due diligence having already done the orientation work.

For general financial planning research, ChatGPT and Claude provide useful background on topics like pension legislation, IHT planning strategies, or the implications of recent regulatory changes. You verify the details through authoritative sources, but the AI gives you the landscape in minutes rather than requiring you to read from scratch.

Complaint responses and Consumer Duty documentation

Complaint handling is one of the highest-stakes writing tasks an adviser faces. The response needs to be accurate, empathetic, professionally written, and compliant with FCA requirements for complaint handling under DISP. AI produces solid first drafts for complaint responses from a summary of the complaint and the facts of the advice given. You review carefully, but the structure and much of the language is handled.

Consumer Duty requires advisers to demonstrate that they have considered client outcomes throughout the advice process and their ongoing service. AI helps with drafting the documentation, policies, and records that support this. The thinking is yours. The drafting does not need to be.

KYC and onboarding documents

New client onboarding involves a significant amount of document preparation. Fact find summaries, covering letters, privacy notices, terms of business, introductory materials. AI handles all of these from the basic client information you feed in. Onboarding time drops significantly, and the documents are more consistent across your client base.

The important caveat

AI drafts. You review, take responsibility, and sign off. FCA authorisation applies to you, not to the tool. Every suitability report, every recommendation, every piece of advice carries your professional responsibility behind it. AI is a drafting resource, not a regulated entity. Use it as you would use any template or precedent: as a starting point that requires your professional judgement to complete.

Be thoughtful about which client information you share with AI tools. Review the data processing terms of any tool you use. Consider whether your standard client authority documentation covers AI-assisted drafting or whether you need to update it.

Getting started

Start with suitability reports. That is where most advisers see the biggest immediate time saving. Develop a prompt that captures the structure your reports follow. Run your next three meeting notes through it. Refine the prompt until the output is close to what you would write yourself. Then expand to quarterly updates. Within six weeks, most advisers who do this have cut their back-office time by more than half and cannot imagine going back.