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You don’t need to be a tech expert to make good decisions about generative AI—but you do need to stay curious, ask the right questions, and know what your organisation can genuinely support. As the pressure to “do something with AI” grows, leaders everywhere are weighing up whether to build custom solutions, buy from suppliers, or pause entirely.

we often find ourselves in discussions where teams frame AI in moral extremes: good vs evil, opportunity vs risk, saviour vs destroyer. It’s hard to make some space to reflect on the question, but it's worth it.

Three terms cropped up repeatedly this year: knowledge graphs, metadata, and AI governance. This post is one of our occasional explainers, designed to save you a heap of further reading, and to help you understand why this next wave matters now, not later.

A reflection on two years of prompting, progress, and curiosity.

Every time we introduce a new bit of AI kit someone asks: “How will we know if it’s working?” It’s usually shorthand for: “Will this make us faster/better/cheaper?”

How to think about the price tag, the procurement pitfalls, and the value behind the hype.