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Discover how councils and housing associations are already using generative AI to improve services, reduce errors, and empower staff — without compromising security or control.

When ChatGPT went down recently, productivity wobbled—and so did we. But the real story isn’t about outage panic; it’s about how deeply generative AI has embedded itself into our working lives. Generative AI can boost productivity and creativity—but only when humans stay engaged. It’s not here to replace us, but to work with us. Because the real power lies in the partnership—and the judgement, empathy, and curiosity we still bring to the table.

Every organisation has policies - good and bad - but how do you avoid them gathering dust, and what will make your AI policy one of the good ones?

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.