AI for Small Businesses: Lessons from the UK’s Copilot Trial
AI tools like ChatGPT, Gemini and Microsoft Copilot are all over the headlines, promising faster work and fewer headaches. But as the UK government’s recent Microsoft 365 Copilot trial shows, the reality is more mixed, especially for small businesses working out where AI actually fits.
The main lesson is simple: Start with the problem, not the tool.
The Promise of Copilot
The government trial, run by the Government Digital Service with 20,000 staff across 12 organisations from September to December 2024, found that staff reported saving around 26 minutes a day when they used Copilot for routine tasks. Drafting emails, summarising documents and pulling reports together all got quicker.
Feedback was also strongly positive: 82% of participants said they wouldn’t want to go back to working without Copilot. A separate evaluation by the Department for Business and Trade found neurodiverse colleagues were especially satisfied with it.
For a small business, that sounds appealing. Half an hour saved each day could be the difference between closing a sale and chasing paperwork.
The Reality Check
The trial also turned up problems that every small business should note:
Inconsistent productivity gains: for creative, complex or accuracy-critical work, Copilot didn’t help much, and some users found it slowed them down.
Extra verification needed: drafts often needed heavy correction, so time saved at the start was lost again in editing.
No clear impact at scale: individuals felt more efficient, but the Department for Business and Trade’s evaluation found no evidence the time savings led to improved productivity.
In other words, AI delivered value, but not everywhere and not automatically.
Why ‘Problem First’ Matters
The trial backs up a simple rule: don’t start with the solution, start with the problem.
Plenty of businesses are rolling out AI because it feels like the next big thing. Without clear uses in mind, you risk:
Adding complexity instead of removing it.
Creating compliance risks, especially around GDPR and data security.
Wasting effort on tools that don’t suit the task.
A better approach looks like this:
Define the problem. Where does time really go? Admin-heavy tasks, customer queries, compliance paperwork?
Start small. Try AI on low-risk, repetitive work first.
Train your team. Make sure staff know when an AI output is only a draft and when it can be trusted.
Review and expand. Look at what worked, adjust the process, then roll it out further.
It’s the same approach good product teams use when they build new features, and it works just as well for bringing in AI.
What This Means for Small Businesses
Many small businesses are keen on AI but quickly run into the same barriers:
Staff unsure how or when to use it.
Drafts that look good at first glance but miss key details.
Tools brought in without thinking about GDPR or data security.
The answer isn’t to avoid AI. It’s to adopt it carefully and with a clear purpose. If you map out your business problems first, you can choose the right tools and get the benefits without the frustration.
Final Thought
Use AI to save time on drafts, and keep checking the results yourself.
The businesses that get the most from AI are the ones that know what they want it for.
Wondering if Copilot or ChatGPT could help your business? Start with the jobs that eat your time, and we're happy to talk it through.