TFP Financial Planning Ltd is a growth-stage advice firm based in Maldon, Essex. Olivia Maynard, who started as an administrator in 2015 and was promoted to Managing Director earlier this year, runs TFP with a clear philosophy: stay lean, free up capacity, and spend that time on the client work that matters. When the firm adopted AdvisoryAI in summer 2025, they did it with a method, governance first, due diligence second, tool selection third. Seven months later, TFP had scaled its client capacity without adding headcount, its head of financial planning was editing roughly 10% of generated output, and morale across the team was higher than before the change.
"She wrote 6 suitability reports yesterday. 6 in a day. And I was just baffled."
Olivia Maynard, Managing Director, TFP Financial Planning Ltd
The Challenge
Suitability reports were the bottleneck. The head of financial planning was producing roughly one very detailed report for complex situations a day. That ceiling shaped everything else: how many clients the firm could move through review season, how much time advisers and paraplanners had for client conversations, and how the team could respond when batch projects landed on the desk. For a firm receiving 20 leads every two weeks, the mismatch between demand and throughput was becoming unsustainable.
Beyond reports, the annual review cycle consumed disproportionate effort. Every review required manual coordination: booking the meeting, chasing information from clients, preparing the presentation, then writing the financial plan afterwards. Each step involved a different system and a different person touching the file. TFP had previously tried outsourcing report writing, but found the overhead of briefing external writers, maintaining quality, and keeping the firm's voice and tone consistent was nearly as burdensome as doing the work internally.
How AdvisoryAI Helped
TFP rolled out Emma for suitability reports and Evie for meeting notes, with bespoke templates built for their portfolio realignment work. The full implementation, covering notes, reports, internal procedures, and team training, took three months from June to September 2025. The AdvisoryAI team set up a dedicated template for pre-tax-year-end portfolio realignment letters, which turned out to be the catalyst for the biggest single-day jump in output.
The head of financial planning went from one suitability report a day to consistently hitting three. Then came the portfolio changeover project, a batch of realignment letters that would once have stretched across most of a fortnight. She produced six in a single day. Today, she edits roughly 10% of the generated output, mostly formatting and graphics that require a human eye.
TFP has since used Emma for discretionary trust reports involving trusts and bonds, the kind of case that would previously have taken an adviser or paraplanner a full day of writing. The output required no more editing than a straightforward pension switch.
The freed-up capacity unlocks four things Olivia cares about most:
Scaling without hiring. Seven months after going live, TFP scaled its client throughput without growing the team aggressively.
Annual review end-to-end. The review workflow now runs from booking through to post-meeting delivery with minimal manual involvement. The team's only touchpoints are reading the client's information, deciding the advice, and having the conversation.
More time with clients. Paraplanners have time for longer conversations, video walkthroughs, and the soft side of advice that small firms usually have to ration.
Better than outsourcing. Olivia compared AdvisoryAI directly to their previous experience with external report writers: "Less work for us than outsourcing was. We can keep it in our voice, and our tone, and we know exactly what's going on."
Why Implementation Method Matters
TFP treated AI adoption as a governance decision from the start. The firm drafted an internal AI policy and communicated a clear stance to the team before evaluating any tools. That sequence, policy first, due diligence second, tool selection third, gave the team confidence, gave compliance a framework, and gave the rollout structure.
The rollout itself was deliberate. Olivia invested time in change management before introducing any new system. She knew the team's communication styles from personality assessments and adapted her approach to each person. The paraplanners were involved in evaluating the tool from the start, because they were the ones who would use it daily and whose judgement would determine whether it stayed in the workflow. Training happened before launch, not on launch day. Procedures were updated in parallel so the team was never left in what Olivia calls a "horrible place to be", the limbo between the old process and the new one.
Adoption brought something Olivia had hoped for but could only confirm after the fact: morale went up. Team members spend more time on the parts of their role they value, more time developing specialist knowledge, and more time in training. Olivia is direct about it: "Morale is really high."
On the service side, bespoke templates and the ability to iterate on output quality with a person on the other end of the phone made the difference between a tool that stayed in the workflow and one that quietly dropped off. TFP had tried a competitor product before returning to AdvisoryAI. The drop-off came down to implementation bandwidth, not product quality. When capacity allowed, they came back.
"Nothing worse than having good tech and not being able to talk to anybody to actually get it implemented well or updated or bugs fixed."
Olivia Maynard, Managing Director, TFP Financial Planning Ltd
TFP now has the capacity it always wanted without the headcount it never wanted to add. Seven months in, the firm operates with the throughput of a much larger team, the morale of a team doing work it values, and the confidence that every report leaving the firm is reviewed by a paraplanner who had the time to think. Visit advisoryai.com to learn how AdvisoryAI can help your firm achieve similar results.

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