AI readiness is less about whether a family office can access a model and more about whether its data, permissions, workflows, and staff practices can support responsible use.
Start with workflows, not tools
List the recurring work that consumes staff time: document review, meeting preparation, vendor comparisons, tax residency support, reporting, policy updates, and research. Rank each workflow by sensitivity, frequency, and review burden.
Inspect data movement
Before connecting AI to anything, identify where confidential documents live, who can access them, which systems sync externally, and where drafts are stored. A useful AI roadmap should reduce data sprawl instead of multiplying it.
Define acceptable use
Create a short policy that separates general experimentation from confidential work. Staff should know which tools are allowed, what data is prohibited, and when human review is mandatory.
Choose the first pilot
The best first AI pilot is narrow, reviewable, and reversible. Document summarization, research synthesis, or compliance evidence organization often work better than broad promises to automate everything.