Hiring an AI person is not a complete strategy
Depending on ambition, the required capability may combine commercial leadership, process analysis, solution architecture, AI engineering, software and integration skills, data capability, platform expertise, testing and evaluation, security, governance, change and adoption, accounting and advisory knowledge, and maintenance.
Not every firm needs a large AI team. A focused use case may require a modest combination of skills; a portfolio of client-facing systems can create different delivery and support responsibilities. Plan the capability around the intended work.
Assess ROI before major recruitment or implementation, including staff time, platforms, engineering, ongoing support and the opportunity cost of scarce leadership capacity. Establish who will prioritise initiatives across compliance, bookkeeping, advisory, client service, internal operations and client-facing AI.
An internal strategy should also say where not to use AI. Focus on meaningful commercial value, strategic importance and risk reduction rather than build agents simply because the team can.