Accuracy
AI can invent facts. Keep humans accountable for anything published or sent.
For teams & owners
AI for business: start small, measure, scale
A practical guide to using AI in a small business — realistic use cases by department, a readiness checklist and the risks to manage.
Quick answer
How can a small business start using AI?
Choose one repetitive task, such as drafting customer replies or summarising documents. Test an approved AI tool on it for a few weeks with a human reviewing every output, measure time saved and errors, then decide whether to expand to the next task.
Use cases
Where AI typically helps
Illustrative examples — suitability depends on your data, tools and policies.
| Function | Typical tasks | Human check needed |
|---|---|---|
| Customer service | Draft replies, classify enquiries, FAQ answers | Tone, accuracy, promises made |
| Marketing | Content drafts, product descriptions, ideas | Brand voice, claims, compliance |
| Operations | Summaries, SOP drafts, data clean-up | Correctness of figures |
| Sales | Research prep, follow-up drafts | Facts about the client |
Checklist
AI readiness checklist
Answer these before buying any AI subscription.
- We have identified one specific, repetitive task.
- We know which data must never be entered into AI tools.
- Someone owns reviewing AI output before it reaches customers.
- We have a simple way to measure time saved or quality.
- We have read the data policy of the tool we plan to use.
Risks
Risks to manage
Privacy & data
Follow applicable data-protection rules and your clients’ expectations.
Transparency
Be open with customers where AI meaningfully shapes what they receive.
Frequently asked questions
Which business tasks suit AI best?
Tasks that are repetitive, language-based and easy to check: drafting, summarising, categorising, first-line customer replies and research preparation.
Is it safe to put company data into AI tools?
Only into tools and plans whose data policies you have reviewed and approved. Avoid entering personal data, passwords or confidential information into consumer tools.
How do I measure if AI is helping?
Pick one task, record how long it takes and its error rate before and after, and keep the human review step in place while you measure.