AI for wealth firms, without the compliance risk
Wealth firms run on sensitive client data and a compliance officer who has to sign off, so generic AI is a non-starter.
Wealth firms run on sensitive client data and a compliance officer who has to sign off, so generic AI is a non-starter. I set up Claude Teams in the firm's own account, with no training on your data: a compliance-safe workspace, deterministic reporting that traces every number to its source, and the visibility layer that makes the firm the answer an AI assistant gives when a prospect asks.
The reality you are working in
Your firm holds client financials, bank statements, and tax IDs, with a compliance officer who has to put their name on what goes out. So the first question is never what AI can do. It is whether AI can touch your data without becoming a liability. Most of what your team has been shown fails that question on the first slide.
Underneath it sits the work itself. Reporting is manual: someone pulls the numbers by hand from the platform your data lives in, drops them into a spreadsheet, and rebuilds the same report every month. A custom report can take two weeks; a quarterly one a month or more. Meanwhile your website trends up in traffic while meetings stay flat, because the prospects you want research in an AI assistant before they ever fill out a form, and there you are invisible.
Why the generic tools do not fit
A public chatbot is blocked the moment fiduciary data is involved. Traditional SEO is commoditizing, and the game has already moved from ranking a page to being the answer the model gives. An outside developer you do not control adds cost and turnover. The enterprise platforms that promise all of it are priced for institutions, not for a lean firm with an outsourced IT team. None of them is built for a wealth firm that has to stay compliant and move quickly at the same time.
What I build
Claude Teams in your own company account, where your data is not used to train the model, with your MSP in the loop. Your files stay in your own storage, and access stays under your control, with the privacy posture documented the way a compliance officer needs it described. We start with the smallest real win, usually a reporting bot. From your weekly portfolio report it flags the accounts that need attention, an overdraft, low cash against a threshold, a capital call the cash will not cover, and drafts the note to the advisor. It never sends on its own. Every number it uses is produced by code and checked, not guessed by the model, so a person reviews and signs it in minutes instead of rebuilding it by hand.
On top of that sits the visibility layer that makes your firm the answer ChatGPT, Claude, or Perplexity gives when a prospect asks about your category. And because it runs on a subscription rather than a metered connection, there is no surprise five-figure invoice in the first month.
The worry I hear most, answered
Wealth buyers tell me the same thing: it feels like the model is Claude today and something else the day after tomorrow, and that is unsettling when you are about to build on it. That worry is exactly what the monthly Evolution Plan handles. Each time a new model ships, I migrate your brain, your Skills, and your reporting to it, test what breaks, and keep the firm current. The churn becomes my job, not yours.
Proof
A $14B advisory firm used the visibility build to become the answer assistants give, and won a family with over $100 million in assets who found them through ChatGPT. For a $2B multi-family office I set up a compliance-safe Claude Teams account its compliance officer could sign off on, with a cash-reporting bot that flags the accounts needing attention from each week's report. Both keep client data inside the firm's own systems. Read the wealth-advisory case study.
What you own
Everything I build is yours: the brain, the Skills, and the company account, all under your own control. We start with one real win, prove it on your own data, and grow from there. Then every month the system does more than the month before.
Where this fits
Frequently Asked Questions
Yes, when it is set up correctly. I build in your own company account, where your data is not used to train the model, your files stay in your own storage, and the privacy posture is written so your compliance officer can rely on it. Client data stays protected and is described precisely, not vaguely.
Yes. Single and multi-family offices, RIAs, and fund managers, usually with a lean team and an outsourced MSP. I work with your IT in the loop, not around it.
Yes. The common first build is a reporting bot that reads your portfolio platform's export, flags the accounts that need attention, and drafts the report with every number provable. A person reviews and signs; the AI never sends on its own.
Through the visibility layer. I structure your firm's information so the assistants can read and trust it, and build the pages that answer what UHNW prospects actually ask, so you become the answer instead of a link nobody clicks.
Book a 15-minute call
Tell me where your team is using AI today. I will tell you what their first three Skills would be, and how a compliance officer can sign off on it.