AI for family office principals: the first 30 days

Who is the family office principal, and what makes the starting point different?

In this piece, a principal is the person who owns the decisions: a founder turned investor, a family head, the chief executive of a single or multi-family office, or the senior partner of a small investment platform. You probably have a small team, relationships that took years to build, and a desk where personal and business records sit side by side: investment memos, trust documents, tax correspondence and household matters.

That mix is why generic productivity advice fits badly. You cannot paste a capital call notice or a note about a family member into a chatbot as casually as a draft blog post. The first 30 days are less about speed and more about habits that keep the work private while you learn what the tools do well.

Where are family offices with AI right now?

Surveys say adoption is early and uneven. Citi's 2025 Global Family Office Report found that 22 percent of family offices had automated operational tasks or were using AI for investment analysis, up from 13 percent in 2024, and that 57 percent cited a lack of internal expertise as the biggest barrier. RBC Wealth Management's North America Family Office Report 2025, which surveyed 141 family offices, mostly in Canada and the United States, reported that 29 percent used generative AI to aid investment reporting and 30 percent used it to manage and research text such as news, social media and transcripts.

The two surveys define "using AI" differently, so I would not compare their percentages directly. A wider Deloitte Private survey of 1,587 family businesses with at least $100M in revenue, published March 31, 2026, found that 86 percent were actively or selectively using AI. Those are operating businesses, not family offices, but the businesses a family owns may be further along than the office itself.

My reading: most offices are still early, and the barrier named most often is know-how, not budget. That favors a principal who builds a few habits first and then sets rules for the team.

What should stay out of AI tools for the first 30 days?

Start with a short list of things you do not paste into any AI tool until you have read the provider's current terms for your specific plan and, where it matters, asked your counsel:

• Account numbers, tax identification numbers, passwords, recovery codes and keys.
• Privileged communications with your lawyers.
• Documents covered by a nondisclosure agreement or a counterparty's confidentiality terms.
• Medical, school or other personal details about family members, especially children.
• Identity and onboarding documents for you, your family or your counterparties.

Plans differ in whether what you type is retained, who can review it, and whether it may be used to improve the provider's models. Those terms change, and consumer plans differ from business plans. Check the provider's own documentation on the day you start, not a summary from a blog, including this one.

Week 1: what safe habits should I set?

The goal is not output. It is a rule you can follow without thinking.

1. Choose one assistant and one plan. Read its data-use and retention terms. Turn off history or training use where the plan allows it, and write down the date you checked.
2. Write a three-line personal rule: what I never paste, what I paste only after removing names, and what is fine as it is.
3. Use the tool only on public material and invented examples: a published annual report, a news article, a made-up scenario that resembles your work.
4. Keep a plain log with the date, the task, what worked and what looked wrong.

At the end of the week you should have one paragraph, in writing, that you would be comfortable handing to a trusted colleague.

Week 2: what is a good first reading routine?

Long documents are where principals lose hours, and reading is also the lowest-risk place to start, because you decide what to believe. Pick one recurring document that is public or already cleared for outside tools, for example a public fund letter, a published market outlook or a regulatory notice.

Use the same three steps each time. Ask for a structured summary: what changed, what it means for me, what I should decide. Ask the assistant to quote the exact passage behind each point. Then check at least three quotes against the original yourself. If a quote does not exist, you have learned something about the tool. Aim for one routine you repeat, not five you try once.

Week 3: how do I build a drafting routine in my own voice?

Gather three to five messages you wrote that contain nothing sensitive, such as a scheduling note, an introduction, a thank-you or a short update. Ask the assistant to describe how you write: sentence length, how you open, how you close, what you never say. Save that description as a style note and give it to the assistant at the start of a drafting session.

Then limit the routine to low-stakes categories: scheduling, thanks, introductions, and first drafts of a routine update. You edit every draft and you press send yourself. Personal notes to family members and sensitive messages to counterparties stay entirely yours. A good test: if the recipient learned an assistant helped, would it change how they feel about the message? If yes, write it yourself.

Week 4: how do I review the month and decide what staff may do?

Read your log. Which routine did you repeat unprompted? Which output needed heavy correction? Where did you almost paste something you should not have? Those answers are the real content of your policy.

Then decide three things for the team: which data classes staff may use with AI (start with public and non-identifying material only), which tools and plans are approved, and who approves anything new. Put it on one page. The companion piece, what a family office should ask before staff use AI, gives ten questions and a policy skeleton to start from, and AI governance for non-technical CEOs covers the same ground for a larger company. Schedule a 30 minute review for a month later.

What should I ask my advisers?

You do not need to become the legal or security expert. You need to ask the right person the right question and write the answer down:

• Counsel: does using an AI tool affect attorney-client privilege or any confidentiality obligation we owe? What is our regulatory status, and does it bring AI-specific expectations?
• Insurance broker: do our cyber or professional policies say anything about AI tools or staff use?
• IT or security provider: which AI tools can staff reach from our devices, and can we see or limit them?
• Wealth manager, custodian or bank: what is your policy on AI tools touching our data, and will you tell us if it changes?
• Accountant: is there anything about our tax or trust records that should never leave our systems?

This is a planning guide, not legal, tax or investment advice. If you want a private partner for the four weeks, executive AI coaching is built around your own work. If the office needs a standing AI leader, see fractional CAIO engagements, and to place your organization first, try the adoption maturity model.