Latest posts

  • From awareness to control: governing AI in practice in 2026

    From awareness to control: governing AI in practice in 2026

    In our previous article, 2026: Technology and AI – what’s next for UK SME boards?, we argued that AI has now crossed a threshold. It is no longer an emerging technology that boards can safely delegate downward, nor is it a future concern that can be deferred until “things settle down”. AI is already influencing

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  • The Ethics of AI at Board Level: Why Risk Is Not Just a Compliance Issue

    The Ethics of AI at Board Level: Why Risk Is Not Just a Compliance Issue

    AI now appears in almost every board pack I see. It is woven into growth plans, cost reduction exercises, investment cases and talent strategies. Yet, in many organisations, the ethical dimension receives far less attention than the commercial one. Too many boards still treat AI risk as if it were simply a matter of compliance,

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  • The New Technical Debt: Unmaintainable or Misused AI Models

    The New Technical Debt: Unmaintainable or Misused AI Models

    Technical debt used to be easy to spot. You could walk into a development team and see it in the codebase, the lack of tests, or the patchwork of quick fixes that no one wanted to touch. It had a smell to it. You knew that every release took longer, and every new feature came

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  • Fractional CPTOs and AI strategy: Guiding innovation without overreach

    Fractional CPTOs and AI strategy: Guiding innovation without overreach

    AI is now a permanent topic in the boardroom, but not every board has the right expertise to turn that conversation into a coherent plan. Your company may already be experimenting with AI models or exploring automation, but without a clear strategy and governance framework these activities can quickly pull you away from your intended

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  • Strategic Blind Spot: When boards underestimate the governance challenges of AI integration

    Strategic Blind Spot: When boards underestimate the governance challenges of AI integration

    Artificial intelligence now occupies a permanent place on the board agenda. It appears in strategy documents, in investor presentations and in the language of corporate ambition. Yet beneath the enthusiasm lies a quieter risk. Many boards are approaching AI as though it were simply another technology programme to be governed through the same familiar structures.

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  • Model Drift, Shadow AI, and Spaghetti ML: Why AI Governance Is Already a Problem

    Model Drift, Shadow AI, and Spaghetti ML: Why AI Governance Is Already a Problem

    The promise of artificial intelligence in business is compelling. Increased efficiency, sharper insights, and products that adapt intelligently to customer needs are now part of the narrative in every boardroom. Yet beneath the enthusiasm lies a more uncomfortable reality. The technology is evolving faster than the structures designed to manage it, and companies are already

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  • When Every Product Claims to Be ‘AI-Powered’: Cutting Through the Noise as a Technology Leader

    When Every Product Claims to Be ‘AI-Powered’: Cutting Through the Noise as a Technology Leader

    Artificial intelligence has become the most overused phrase in the technology marketplace. From customer service chatbots to predictive dashboards, there is scarcely a product that has not been labelled as ‘AI-powered’. For a Chief Product and Technology Officer, this trend presents both risk and opportunity. The risk lies in being swept along by the marketing

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