Private AI for a family office is six layers, not a chatbot

Disclosure: I co-founded Mitosis Labs, which runs Private SuperIntelligence. This is an adaptation of the original guide written for family offices.

Private AI for a family office is an AI service that works on the family's own information inside boundaries the family controls: the provider keeps no copy, trains no model on it, and every action runs under permissions the office sets. A general-purpose chatbot puts that record on someone else's terms.

What the surveys measured

The 2025 RBC and Campden Wealth North America Family Office Report found that 29% of North American family offices use generative AI to aid investment reporting and 30% use it for research, against 11% that had implemented generative AI at all in 2024. Citi reports that 22% have automated operational tasks or use AI for investment analysis, up from 13% in 2024. Citi also observes that the most successful applications solve everyday problems such as summarizing documents, transcribing meetings, managing email and automating reports.

Why public defaults are a weak match

A single office holds tax returns, estate plans, medical arrangements, security details and the movements of the principals. Deloitte's Family Office Cybersecurity Report 2024 found that 43% of family offices worldwide had experienced a cyberattack in the previous 12 to 24 months, rising to 57% in North America and 62% for offices with more than $1 billion in assets. J.P. Morgan Private Bank's 2026 report, drawn from 333 family offices in 30 countries, found that legal services (52%), trading and market execution (45%) and cybersecurity (38%) are the functions offices outsource most. Every adviser who pastes family material into a different AI tool adds another copy. Citi states that data privacy is non-negotiable for family offices.

Six layers, then ten questions

Retention and deletion. Communication. Access and actions. Model inference. Data storage. Deployment. A gap in one undoes the others.

Start with what the vendor stores after a task, and whether they or any model provider train on your data under contract. Then ask where inference runs and who at the vendor can reach your environment.

We built Private SuperIntelligence as an AI concierge Mitosis Labs sets up and runs for one family office, on those six layers. The provider retains nothing and trains on nothing.

Private SuperIntelligence takes a limited number of families at a time so every one gets the same standard of service. Book a private call (ref PAF1-DEV) to talk through your office with Alex Morris.

Prakshal Jain (PJ), Co-founder and CTO, Private SuperIntelligence (by Mitosis Labs)

Alexander Morris, Co-founder and CEO, Private SuperIntelligence (by Mitosis Labs)

Originally published at privatesuperintelligence.si.

Sources: RBC/Campden 2025 https://www.campdenwealth.com/press/2025-rbc-and-campden-wealth-report-north-american-family-offices-adapt-uncertainty-and ; Citi Institute https://www.citigroup.com/global/insights/ai-in-the-family-office ; Deloitte 2024 https://www.deloitte.com/cz-sk/en/services/deloitte-private/about/family-office-cybersecurity-report.html ; J.P. Morgan 2026 https://www.prnewswire.com/news-releases/jp-morgan-private-bank-releases-2026-global-family-office-report-302676012.html