Risk Worth Taking

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A professional membership organisation decides to work in a more modern, experimental way. Then the first difficult feedback arrives, and the reaction is not what anyone expected. From that story, Adam and Peter ask what “good” looks like when no organisation is perfect. Why do so many people know exactly what is going wrong, yet nothing changes? What did a young Amazon platform do about problems it knew it could not prevent? Why might a budget spreadsheet teach an organisation the wrong lesson? Along the way they share stories from Amazon and from years of workshops, and ask what role IT should play now. If your organisation has the knowledge but struggles to act on it, this episode asks why.

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At the end of a long Programme Board meeting, with everyone apparently aligned, the Programme Manager announces he has no intention of doing what was just agreed. The CIO outranks him, but it turns out that authority and trust are not the same thing. Adam and Peter ask what people mean when they say “trustworthy AI”. When someone says they trust AI, what exactly are they trusting? Why does trust follow people rather than org charts, and why does it sometimes go wrong? Along the way they share stories from a Microsoft vendor selection and an expensive mistake of Peter’s own. They also explain why “blind trust” and “blind distrust” have more in common than you might think. If your organisation talks about trust in AI but has never agreed what that means, this episode starts that conversation.

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A shipment of equipment disappears, and the company loses millions. Yet no single person made a mistake. Everyone had done their part, and nobody owned the whole outcome. From that story, Adam and Peter ask what happens to accountability when AI joins the decision. Is “what if the AI gets it wrong?” even the right question? Why do leadership teams happily discuss technology and risk, then go quiet when someone mentions ownership? Along the way they share stories from outsourcing programmes and from years of running large teams, including what a leader owes the people who advise them. If your organisation relies on committees, sign-offs and shared responsibility, you may recognise some of what you hear.

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A leadership team spends two hours debating one small use of AI. Meanwhile, a far bigger one is already running elsewhere in the organisation, and almost nobody is discussing it. Adam and Peter ask why organisations focus so much attention on the wrong things. Why do ten executives shown the same facts walk away with ten different reactions? Why is choosing between good ideas so much harder than having them? Along the way they trade stories from Microsoft and from a government transformation programme, including one IT Director who learned what it feels like to be treated as a risk. If your organisation’s AI list keeps growing and nobody can agree where to start, this episode is for you.

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A national examination body discovers that the people writing its high-stakes exam papers have been working somewhere IT never approved, and never knew about. Nobody involved thought they were doing anything wrong. From that story, Adam and Peter ask why so many organisations reach for control first, who actually decides which technology gets used these days, and whether AI is really a new problem or an old one moving much faster. Along the way they share stories from Microsoft and from the IT departments that found out too late. If your organisation is asking how to control AI, this episode asks whether that is the right place to begin.

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Risk Worth Taking starts from one idea: AI isn’t creating new organisational weaknesses, it is exposing the ones that were already there, faster. Adam Johnson and Peter Barnes explore what that means for ownership, trust and decision-making, and why understanding has to come before control.

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Everyone is asking how to control AI. Adam and Peter think that may be the wrong question. In this opening conversation, two hosts from very different backgrounds explain why they keep reaching the same conclusions. Along the way they trade stories about the client who insists their organisation is unique, wonder why an AI discussion always ends up being about people, and ask whether technology was ever really the subject. If you want to know what this series is about, and why the answer may not be what you expect, start here.

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Risk Worth Taking explores what AI exposes inside organisations, from control and ownership to trust and leadership, through conversations with the people who run them.