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AI adoption in business: real examples, risks and lessons from UK leaders
AI: The good, the bad, and the ugly
Over the last six months, I have had the privilege of sitting down - virtually and in person - with leaders from across UK industries: energy, utilities, construction, law, manufacturing, media, education, and beyond. Not to sell anything. Not to run a workshop. Just to have an honest conversation about where they are with AI adoption and implementation.
What I heard was revealing. Not because everyone was doing extraordinary things with AI (some were, some weren't), but because the honesty in those conversations cut through the noise that dominates most AI discourse
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The hidden challenge of AI adoption isn't technology. It's consistency.
Why AI makes standards more important, not less
Over the past two years, most conversations around AI have focused on speed.
Businesses have been asking how quickly they can implement AI, where they can automate repetitive tasks and how much more productive their teams could become. Those are important questions, and for many organisations, they have already led to tangible improvements in efficiency.
Many of the same themes have surfaced through our recent conversations with business leaders, including in our CEO, Dolo's recent research exploring what organisations are really experiencing with AI adoption, from early productivity wins to the challenges
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