AI capability is about more than buying technology or hiring technical specialists. If you are struggling to move AI from pilots into the business, examine leadership, ownership, funding, governance and the decisions that sit between your executives.

Can your CIO take responsibility for enterprise AI, or does the organisation need a different leadership model? Assess the CIO’s capability, authority, capacity and the team around them before creating another executive role.

Where AI sits should follow the problem you are trying to solve, not the title you think you need. This decision framework compares CAIO, CDO/CDAO, CIO, CTO and federated models across maturity, decision rights, reporting lines, regulation and board oversight.

A shortlist alone does not tell you whether the market was properly searched. Here is what boards should expect to see behind it, from market mapping and outreach to candidate response, trade-offs and gaps.

Should sector experience be essential when appointing a senior technology, data or AI leader? How to distinguish genuinely necessary industry knowledge from experience that simply feels familiar.

Should data, analytics and AI sit under one executive, or has AI become broad enough to require separate leadership? The answer depends on existing ownership, authority and the scope of the role.

Boards do not need to run AI and technology programmes, but they do need to make the decisions that determine whether those programmes can succeed. This article looks at the board's role in accountability, investment, risk, operating models and leadership capability.