Latest posts

  • AI oversight at board level: five questions directors should be asking in 2026

    AI oversight at board level: five questions directors should be asking in 2026

    Walk into almost any boardroom today and you will see three very different perspectives on artificial intelligence. One director may not use AI at all and is still trying to understand where it fits into the business landscape. Another may have read about it extensively but has little practical exposure beyond headlines and vendor promises.

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  • What Technical Due Diligence now expects to see around AI usage

    Artificial intelligence is no longer experimental in UK SMEs. It is embedded in sales workflows, underwriting models, forecasting tools, customer communications and product features. In many cases it has become operationally critical without ever becoming formally governed. That shift matters in due diligence. Traditional technical due diligence has focused on platform scalability, cyber posture, code

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  • The CPTO as AI translator: turning model capability into business decision-making

    The CPTO as AI translator: turning model capability into business decision-making

    By the end of 2025, most mid sized organisations are already using AI in some form. Customer support teams are trialling copilots, finance teams are extracting data from documents, and product teams are embedding classification or recommendation into workflows. What has changed is not the presence of AI, but the number of business decisions it

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  • 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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  • AI Risk in Due Diligence: Data, Ethics, and the Black Box Problem

    AI Risk in Due Diligence: Data, Ethics, and the Black Box Problem

    Iincreasingly, we start a Technical Due Diligence to be told that the target company’s edge lies in its “AI-driven technology”. This is almost always said with confidence and with a slide or two showing impressive-looking performance metrics. But the moment we begin to examine that claim in detail, the tone changes. The conversation becomes more

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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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  • The AI Mirage: Spotting Overstated Claims During Tech Due Diligence

    The AI Mirage: Spotting Overstated Claims During Tech Due Diligence

    Artificial intelligence is today’s talisman. It appears in every pitch deck, investor briefing and product brochure, promising a transformation that will outpace competitors and create outsized returns. Yet in the course of Technical Due Diligence, claims of being “AI-powered” often dissolve under scrutiny, revealing little more than experimentation or, in some cases, nothing beyond the

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  • The CPTO’s Role in Shaping Responsible AI Adoption

    The CPTO’s Role in Shaping Responsible AI Adoption

    The surge in artificial intelligence has triggered a wave of excitement, anxiety and introspection across industries. Boardrooms are awash with talk of automation, productivity gains and existential risks, while product and technology teams wrestle with a shifting foundation beneath their roadmaps. Amid this transformation, the role of the Chief Product and Technology Officer has never

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  • AI in the boardroom: Governance, Risk, and the Questions every director should be asking

    AI in the boardroom: Governance, Risk, and the Questions every director should be asking

    Artificial intelligence has shifted rapidly from a technical curiosity to a central force reshaping business, industry, and society. While much has been written about AI’s potential to drive innovation and efficiency, far less has been said about its implications for governance, and yet it is at the board level where some of the most consequential

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