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For the past two years, almost every conversation about AI has focused on the rapidly evolving technical side – models, copilots and increasingly, agents.

I can see why there is a lot of excitement, as Agentic AI promises something genuinely different. Rather than simply generating content or answering questions, AI agents can reason, make decisions, coordinate activi...

Time and again, the biggest concern we hear from clients about agentic AI is a loss of control.

This is by no means irrational. AI is non-deterministic, meaning that the same input does not always result in the same output. In addition, AI agents are increasingly being granted full autonomy in making decisions and taking actions, where this non-determinism can have a ...

The conversation around AI is often dominated by models, tooling and the latest advances in generative and agentic AI. Organisations are understandably keen to understand how these technologies could improve operations, unlock efficiency or create new opportunities.

However, in many cases the biggest challenge isn’t choosing the right AI solution. It’s ensuring the fo...

Consider the best work you’ve done recently. Did it come from one person or department working alone in a room? I’m sure it came from people from different parts of the business getting round a table, each bringing something unique, and building something none of them could have built by themselves.

Now consider the worst work you’ve seen recently. It probably involve...

Often, leadership and agility are discussed as separate concerns. In this post, I argue that they are not merely related but inseparably intertwined. Agility is a mindset rather than a process, and while teams may adopt agile frameworks, follow principles and genuinely want to work in an agile way, they will never truly succeed unless leaders have the appetite and courage to ...