A blog on managing AI in your company

I write for founders, CEOs and executive teams already using artificial intelligence — but who need to manage it. Each article addresses one concrete decision: whom to put in charge of the AI agenda, what to permit and what to stop, how to meet the regulation and how to evidence that the investment paid off.

This is not a roundup of AI tool news. Tools change every month; the questions leadership faces stay the same. I write only about what I have verified in real operations or with my own capital — and when I am not certain about something, I say so.

Articles

The European Union flag alongside an AI Act document symbol Regulation The EU AI Act after the Omnibus: what a CEO must do now What Regulation (EU) 2026/1744 deferred and what applies from 2 August 2026, seven typical use cases, an AI system register and a thirty-day plan for leadership. An executive team meeting around a boardroom table — who carries accountability for the AI agenda Accountability Chief AI Officer (CAIO): who is accountable for AI What mandate the role needs, what it actually runs, how it is measured — and when a fractional CAIO beats an internal hire. The role What is a Head of AI / Chief AI Officer A complete guide to the role: what it involves, how it differs from a CTO, CDO and AI Engineer, and what competencies it requires. The decision When a company needs a Head of AI Seven signals that it is time to give AI a clear owner — and the situations where you do not need the role yet. Engagement model Fractional Head of AI vs full-time CAIO When a part-time role is enough and when a full-time hire pays off: comparison of cost, risk and speed of deployment. Cost Head of AI pay: Czechia vs abroad Real ranges in Czechia by company size, a comparison with other markets and the real cost of the fractional model.

Topics this blog covers

  • Who owns the AI agenda and what mandate they need
  • The Head of AI and Chief AI Officer roles and the CAIO function
  • AI governance: rules for data, permissions and approval
  • An AI system register and classifying use cases by risk
  • The EU AI Act as a management question, not just compliance
  • Managing vendors and the build-versus-buy decision
  • Measuring economic impact and the return on AI
  • Moving from experiments to a managed AI portfolio
  • Reporting the AI agenda to executives, the board and owners
  • When an internal owner is enough and when a fractional role fits

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