How to Start Using AI in a Small Business: A Practical 2026 Guide
29% of UK businesses with fewer than 10 staff used AI in September 2026, and most users check AI outputs before relying on them. Here is a step-by-step way to adopt AI safely, starting with one task.
By Entrepreneur Group · Published · Updated
Editor's note: updated on 27 October 2026 with the ONS's September 2026 AI adoption figures.
The best way for a small business to start with AI is to pick one repetitive, low-risk task, try a tool on it for a few weeks, and keep a person responsible for checking the results. That matches what UK businesses already using AI do: 84% apply at least some human checking to AI outputs, and only 2% apply none, according to research for the Department for Science, Innovation and Technology.
AI use is growing but far from universal. In September 2026, 30% of UK businesses used at least one AI technology, including 29% of those with fewer than 10 employees, according to the ONS.
What the research shows
The DSIT survey, published in January 2026, used a different method from the ONS and found lower adoption, so the figures should not be compared directly. Its findings on how businesses use AI are still useful:
- Most common uses: 85% of AI adopters use language tools such as text generation, 35% use image tools and 21% use machine learning.
- Main reason: 65% of current and prospective users want to increase efficiency or productivity.
- Barriers: 71% of all businesses have not identified a use for AI, and 60% cite limited skills.
- Concerns: among businesses that rated barriers, 80% said ethical concerns were significant, 76% high costs and 72% unclear regulation.
The ONS found that, among businesses with 10 or more employees using AI, 38% said administrative and clerical roles were most affected.
A step-by-step approach
This section is editorial guidance. We do not recommend specific products, and features, prices and data terms change often.
1. Choose one task. Good first tasks are repetitive and low-risk, for example:
- drafting routine emails or replies to common questions;
- summarising long documents or meeting notes;
- creating first drafts of product descriptions or social posts;
- organising notes into a standard template.
Avoid starting with anything that makes final decisions about customers, staff, money or legal matters.
2. Define what good looks like. Write down how long the task takes now and what a good result is. You need this to judge whether AI actually helps.
3. Check the data terms. Before putting any business information into a tool, read how it stores and uses your data, and whether you can turn off use of your data for training. Do not enter personal or confidential information until you are satisfied.
4. Keep a person accountable. Name someone who checks every output before it is used, especially anything a customer will see. AI tools can produce confident but wrong answers.
5. Run a short trial. Use the tool for two to four weeks. Compare time taken and quality against your starting point.
6. Decide and document. If it works, write a short guide on how your team should use it. If not, stop and try a different task.
Bringing your team with you
- Explain the purpose. Make clear that the aim is to remove repetitive work, not to replace people. If roles will change, say how.
- Train people. Limited skills are one of the main barriers. Short, practical sessions on the tool you have chosen help most.
- Set simple rules. Agree what information must never go into AI tools and who to ask when unsure.
Frequently asked questions
How many small businesses use AI in the UK?
29% of UK businesses with fewer than 10 employees used at least one AI technology in September 2026, according to the ONS.
What is the best first use of AI for a small business?
A repetitive, low-risk task such as drafting routine emails, summarising documents or writing first drafts, with a person checking every output.
Do businesses check AI outputs?
Yes. 84% of UK businesses using AI apply at least some human input or checking to outputs, according to DSIT research published in January 2026.
Sources
- DSIT: AI adoption research (28 January 2026) (reviewed 27 October 2026)
- ONS: Business insights and impact on the UK economy: 8 October 2026 (reviewed 27 October 2026)