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The evidence

Why AI, why now?

AI is no longer experimental. Organisations are using it every day and measuring the results. Here’s what the evidence says, including the parts that are usually left out.

It saves real time

  • In a UK government trial, 20,000 civil servants using an AI assistant reported saving an average of 26 minutes a day, about 13 working days a year each. Over 70% said it cut time spent searching for information and on routine tasks, and 82% didn’t want to go back. (Government Digital Service, 2025; self-reported)
  • Customer support agents using an AI assistant resolved 14% more issues per hour. Newer staff improved by 34%, as AI helped spread the know-how of the best performers. (Brynjolfsson, Li & Raymond, NBER)
  • In a Harvard Business School study with Boston Consulting Group, staff using AI completed 12% more tasks, 25% faster, at 40% higher quality on tasks suited to AI.

Productivity gains are real, and growing

But using AI isn’t the same as benefiting from it

  • 88% of companies now use AI somewhere, but only about a third have scaled it beyond experiments. (McKinsey, 2025)
  • Companies that integrate AI into their operations saw 34% productivity growth, against 24% for those that couldn’t. (PwC, 2026)
  • 95% of IT leaders say integration is a barrier to using AI effectively. (MuleSoft, 2025; vendor survey)
  • In the Harvard/BCG study, people using AI on tasks outside its strengths did worse than those without it, which is why checks and oversight matter.

Replacing old systems is risky too

  • In one UK survey of IT and risk leaders, 77% said they’d gone over budget on modernisation, and about two-thirds had paused, scaled back or abandoned a project. (IT Brief UK, December 2025; survey sponsor not named)
  • That’s why we connect before we replace.

What this means for you

The gains come from good data, connected systems and proper oversight, not from simply buying a chatbot. That’s what we do.

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