Ten jobs worth testing
| Task | What AI can prepare | What you must check |
|---|---|---|
| 1. Weekly meeting agenda | Organised agenda from approved updates | Priorities, dates, ownership |
| 2. Customer email draft | Plain-language first response | Prices, promises, customer facts |
| 3. FAQ outline | List of likely customer questions | Accuracy of the approved answers |
| 4. Marketing ideas | Several angles for one genuine offer | Claims, originality and audience fit |
| 5. Sales meeting preparation | Questions for a fictional prospect scenario | Relevance and unsupported assumptions |
| 6. Proposal checklist | Required items from an authorised scope | Missing exclusions and delivery limits |
| 7. Process instructions | First draft of a standard operating procedure | What staff actually do and exceptions |
| 8. Training role-play | Fictional customer conversation | Fairness and realism |
| 9. De-identified feedback themes | Group repeated issues | Whether categories match the evidence |
| 10. Decision options | Compare costs and trade-offs | Numbers, sources and real constraints |
These are examples, not a recommendation that every business should implement all ten.
A worked example: customer feedback
Fictional example. A cafe has twelve invented feedback comments. Some mention slow lunchtime service; others mention menu confusion. The owner asks AI to group the comments and identify what evidence would distinguish the two problems.
AI suggests that queue speed and menu clarity are separate issues. The owner checks each grouping against the original comments. Staff then record waiting times during a small trial. The AI summary helps frame an investigation. It does not prove why customers were unhappy.
The difference matters. Customer feedback is evidence. An AI explanation of that feedback is an interpretation.
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Three ways a useful task becomes risky
First, the input changes. A practice exercise with fictional customers becomes a privacy issue when staff paste genuine names, medical details or access codes into an unapproved service.
Second, the output travels further. An internal draft has lower consequences than an automatically sent quotation with incorrect pricing.
Third, the tool gets authority. Summarising a process is not the same as changing records, approving payments or promising a customer something on the business's behalf.
Increase controls as those consequences increase. Obtain necessary approvals before processing personal information, connecting systems or automating external actions.
One prompt worth trying
Act as a careful operations assistant. Using only the fictional information I provide, prepare a one-page checklist for [task]. Separate confirmed facts from assumptions. Flag missing steps as [CHECK]. Keep the language suitable for a new employee. Do not invent business policies or make decisions on my behalf.
Review the result with someone who performs the task. Remove any step that sounds plausible but is wrong.
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Lesson: 10 Business Tasks You Can Use AI For Today. Please do not include confidential client, financial, health or staff information.
Questions this lesson answers
Can AI replace a small-business administration role?
It may reduce time spent on parts of a role, but work still involves judgement, relationships, exceptions and accountability. Evaluate tasks and job design rather than promising role replacement.
What is the simplest AI task to start with?
A first draft, checklist or meeting agenda using approved non-sensitive information is often a sensible low-risk starting point.
Work out where your business is getting stuck
The free Growth Diagnostic asks ten questions across acquisition, conversion, relationships, delivery and commercial control. It gives you an area to investigate and three things you can do next.
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