Illustrative AI-generated scene for the Experience Your Wealth case study
AI illustration*

Company Brain case studies

Teaching an AI assistant the art of advice

A small wealth management firm takes on the hardest form of owner dependence

  • CompanyExperience Your Wealth
  • SectorFinancial planning
  • SourcePractitioner article, Kitces

If you have built an advisory firm, you know how much of its value lives in the way you talk with clients.

Financial planning has a technical side you can write down and a human side that is much harder to pass on. Two advisors can know the same rules and still ask different questions, notice different worries and explain the same trade-off in different ways.

What Experience Your Wealth did

Writing on Kitces, Jake Northrup of Experience Your Wealth describes building a private AI assistant called Rocky. Its knowledge base draws on the firm's SOPs, internal training transcripts, more than seven years of client meeting transcripts and emails, and examples of the firm's communication style. It runs on LibreChat, hosted on private Azure infrastructure controlled by the firm's IT partner.

The build took about 18 months and included one failed attempt. The expected time savings, such as cutting turnaround on one-off planning questions roughly in half, are the author's estimates and have not been measured.

What it already gives the business

This comes unusually close to the ExValu idea: a firm making its distinctive judgment available beyond the owner.

It also shows why you cannot judge an AI assistant by how convincingly it sounds like a senior advisor. It has to know when it lacks context and when a qualified person must decide.

The ExValu perspective, a hypothesis

Where a Company Brain could take it next

A further step would connect approved planning principles with recurring client questions, service workflows and anonymized patterns in follow-up requests. If several advisors keep meeting the same complex scenario, the firm could spot a missing explanation or a service improvement.

It should never infer sensitive client traits or automate personal financial recommendations without the right permissions and oversight.

What an owner and a buyer would look for

An acquirer will want evidence that client relationships and advice quality hold up when the owner is away. Test turnaround time, review corrections, advisor independence and client retention alongside assistant usage.

Financial privacy, regulatory duties and the risk of persuasive but wrong output keep human review at the center.

The problem behind this case

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About this analysis

* The image is AI-generated and does not show Experience Your Wealth staff. The facts and figures on this page come from the published source named below.

This is an independent ExValu analysis of a published case. Facts and figures are as reported in the source below, which our team checked on October 9, 2026. The ideas for next steps are our own perspective and make no claim about conditions inside Experience Your Wealth.

Primary source: Practitioner article, Kitces. Available at www.kitces.com/blog/financial-advisor-custom-ai-agent-planning-framework-claude-slant-data.

Research cross-check: ExValu working research, Company Brain Research 2, case inventory of October 6, 2026.

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