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.

A failed CIO, CTO or technology executive search should not simply be restarted. Here is how to identify what went wrong, redefine the role and approach the market differently.

You don’t need to match a CIO or CTO candidate’s technical expertise to assess them properly. Focus on their judgement, personal contribution, decisions, influence and evidence of what they have actually delivered.

CIO and CTO responsibilities increasingly overlap. The right choice starts with what needs to change, where technology complexity sits and which decisions the executive must own.

Should AI sit with a Chief AI Officer, CIO, CTO or CDAO? The answer depends on the outcomes, authority and organisational structure required to turn AI investment into results.

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.