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The IFA admin stack: from 15 hours to 2 hours a week

How a sole-trader IFA eliminated most of their back-office admin using three AI tools

The problem

Running a one-person IFA practice means wearing every hat. Client meetings, compliance, suitability reports, portfolio reviews, quarterly letters, prospect follow-ups. The actual advice part of the job took up maybe 40% of the week. The rest was admin.

Before this system, a typical week looked like this: 15 hours on suitability report drafting, client correspondence, meeting prep, and quarterly update letters. That is nearly two full working days lost to tasks that follow the same pattern every single time.

The system

Meeting notes to suitability report (Claude)

After every client meeting, the adviser dictates rough notes into their phone. These notes go straight into Claude with this prompt:

"I am a UK-based independent financial adviser. Here are my meeting notes from a client review meeting. Draft a suitability report summary covering: client objectives, risk profile, current holdings discussion, recommended changes, and rationale. Flag anything that looks like it needs compliance review. This is a first draft for my review. [Paste notes]"

What used to take 45 minutes per client now takes about 8 minutes: 3 to dictate, 1 for Claude to draft, and 4 to review and adjust. With 8 client meetings a week, that saves roughly 5 hours.

Quarterly portfolio letters (Claude)

Every quarter, clients receive a personalised update letter. The old process: open a template, update the numbers, rewrite the commentary, adjust the tone for each client. About 30 minutes per letter, 40 clients, two full days of work.

The new process: paste the portfolio data and a few bullet points into Claude with this prompt:

"Draft a quarterly portfolio update letter for [client name]. Portfolio returned [X]% versus benchmark [Y]%. Key points: [bullet points about market conditions and any changes made]. Tone: professional, reassuring, honest. Keep it to one page."

Claude produces a solid first draft in about 30 seconds. Review and personalise takes 3 minutes. Total time per letter: 4 minutes instead of 30. Across 40 clients, that is roughly 17 hours saved per quarter.

Client query responses (Claude + Notion AI)

About 60% of client emails ask questions that have been answered before. "What is the current value of my ISA?" "When does my fixed rate bond mature?" "Can I increase my monthly contribution?"

The solution: a library of response templates stored in Notion, organised by query type. When a familiar question comes in, Notion AI helps find the right template and Claude personalises it with the client's specific details.

"Using this template: [paste template]. Personalise it for [client name] with these specifics: [details]. Keep the same tone and structure."

This handles about 80% of routine queries without writing a bespoke reply from scratch. Time saved: roughly 3 hours per week.

Automated follow-ups (Zapier)

Zapier connects the CRM to email. When a client meeting is logged, Zapier triggers a follow-up email sequence: a thank you within 24 hours, a document request if needed, and a check-in after 2 weeks. The templates were written once using Claude and now run automatically.

The results

Before: 15 hours per week on admin. After: approximately 2 hours per week, mostly spent on review and quality checks. The freed-up time goes directly into seeing more clients and building the practice. The adviser took on 3 new clients in the first month after implementing this system, without working longer hours.

The key insight: AI does not replace the adviser's judgement. Every document gets reviewed. Every suitability report is checked. But the first draft, the repetitive formatting, the boilerplate correspondence: that is all handled.

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