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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.

Continuing our occasional series of blogs where we apply our favourite retro management theories to AI, it’s time to tip our hats to Everett Rogers’ Diffusion of Innovations model, aka the change adoption bell curve.

We've been thinking a bit more about our fantasy Early Adopter Club™ and why we think the membership includes you (and us). Here's a little update on how tech adoption tends to involve making a leap across the chasm between innovators and the majority.

At this stage of AI evolution, it’s very tempting to look for one perfect system that can do everything. But the hard truth is that even the smartest AI is better when it focuses on the job at hand.

Stephen Covey’s "The 7 habits of highly effective people" has sold over 40 million copies worldwide: how does it apply to AI adoption?