Endava

AI is evolving faster than business decisions. How can leaders know what to build, buy or wait for? Explore AI expert Richard Pugh's perspective.

What if the AI solution you're building today becomes available off the shelf tomorrow? Discover why AI investment needs a rethink.

“Brilliant, but useless”. That’s how a CIO at a recent conference described an AI solution their organisation had spent six months building. It worked - unfortunately, by the time they’d finished, much of what they’d built was available off the shelf. A slightly painful way to discover you’ve been overtaken. This was the challenge I explored in Berlin a few weeks ago: how do you make sensible AI investments when the technology moves faster than your organisation can make decisions? When thinking about what initiatives we should prioritise we’re used to asking two questions: Will this deliver value, and can we actually do it? I usually refer to this as "Impact" and "Readiness". Recently, I've added a third question given how fast things are changing: Will it still be worth building by the time we’ve finished? Maybe we could call that the “shelf life” dimension? There are still plenty of good reasons to build: your data, your processes, something that gives you a real edge. But it’s worth asking how much of your carefully planned solution might become a standard feature while you’re busy getting it approved. The trick is knowing where to commit, where to stay flexible, and where to let someone else do the building. I’ve written more about this here: https://lnkd.in/eYgqJkUS

The right AI investments start with business ambition, not the latest technology. Explore how to prioritise what delivers value.

Move too fast on AI and you risk wasted investment. Move too slowly and opportunities disappear. How can leaders find the right balance?

Move too fast on AI and you risk wasted investment. Move too slowly and opportunities disappear. How can leaders find the right balance?