Most small business owners we speak to feel they should be doing something with AI, but aren't sure what. The tools change every month, the headlines swing between miracle and disaster, and nobody has spare time to experiment. The good news: the businesses getting real value from AI usually started small and boring.
1. Start with a problem, not a tool
Don't begin by asking "which AI should we buy?" Ask "where does our time go that we wish it didn't?" Spend a week noting the tasks that are repetitive, text-heavy or frustrating. Common answers include:
- Writing and replying to routine emails
- Turning notes into quotes, proposals or reports
- Answering the same customer questions again and again
- Writing social media posts and newsletters
- Summarising long documents, contracts or tender packs
Pick one task that happens often, takes real time, and wouldn't cause harm if the first attempts are imperfect. That's your pilot.
2. Use what you already have
Before paying for anything new, check what's already in your software. Microsoft 365 and Google Workspace both offer AI features, depending on your plan, and many accounting, CRM and email marketing tools now include AI drafting or summaries. A general-purpose assistant such as ChatGPT, Claude or Copilot is also a low-cost way to experiment. Our guide to choosing an AI assistant compares the options.
3. Set three simple rules before anyone starts
A small amount of guidance prevents most of the risk:
- Don't paste in personal or confidential information unless you're using a business account that has been approved for it.
- A person checks everything before it goes to a customer. AI can sound confident and still be wrong.
- Say who to ask when someone isn't sure.
When you're ready, turn these into a short written policy. See writing an AI policy for a small team.
4. Run a four-week trial
Give two or three willing people the task and the tool. Ask them to keep brief notes: how long the task took before, how long it takes now, and how good the output was. Meet for 15 minutes each week to share what worked. Enthusiasts make the best pilots; you don't need to convert the sceptics yet.
5. Measure, then decide
At the end of the trial, look at the evidence. Did it save time? Did quality hold up? Did anything go wrong? You'll end up in one of three places:
- It worked: roll it out to more people, with the rules and a short training session.
- It half worked: adjust the approach or try a different tool, then run another short trial.
- It didn't work: that's a cheap, useful lesson. Pick the next task on your list.
Rule of thumb: if you can't describe the task, who does it and how long it takes today, you're not ready to automate it. Fix the process first, then add AI.
6. Build on early wins
Once one use is working, the next ones get easier. Your team has the habits, you have a policy, and you know what good looks like. This is when bigger opportunities, such as connecting AI to your customer records or automating a whole workflow, start to make sense.
Support in Wales
Business Wales, the Welsh Government's business support service, offers free advice to businesses in Wales, including on digital adoption. It's worth checking what's currently available alongside any independent advice.
Where to go next
Not sure which task to start with? The free AI readiness check takes two minutes and suggests quick wins based on your answers.