Start with a small piece of work you can explain and check. A rough email, a set of meeting notes or a comparison of supplier information can be a more useful first experiment than trying to automate an entire business process.

The aim is to learn whether AI helps with that particular task. You need a clear input, a useful output and a way to tell whether the result is good enough. Choosing the tool becomes easier once those three things are clear.

Choose work you already understand

Write down a few tasks you do often. Pick one where you know what a good result looks like and can spot an error without doing a research project.

For a first attempt, useful candidates might include:

  • Turning rough notes into a clear internal checklist.
  • Drafting an explanation from facts you have already confirmed.
  • Comparing the inclusions in two supplier documents.
  • Rewriting an existing notice for a different audience.

Keep the first output as something you review. Sending customer messages, changing records or making decisions on someone else's behalf adds another layer of work. You can explore those later if the basic task proves worthwhile.

A good starting description is specific: “Turn these workshop details into a short notice, using only the information supplied.” “Do our marketing” leaves too much unanswered.

Next: Give the task a small brief

Give the task a small brief

Before opening an AI tool, finish these sentences:

  • I will provide: the information the task needs.
  • I want back: the shape and purpose of the result.
  • It must keep: facts, wording or constraints that matter.
  • It should ask about: anything missing or unclear.
  • I will check: the things that make the output usable.

This brief does not need special terminology. It is the same kind of explanation you might give a colleague who understands writing but has not seen your business context.

For example, asking for a “friendly email” describes tone. Adding the recipient, purpose, supplied facts and desired next step explains the job.

Next: Try a fictional example first

Try a fictional example first

Imagine a small community studio preparing a workshop notice. These are fictional details for practice:

  • Event: paper craft workshop.
  • When: Saturday 14 November, 10 am.
  • Duration: 90 minutes.
  • Materials: supplied.
  • Price and booking link: not yet provided.

A suitable prompt would be:

Write a notice of no more than 90 words for people interested in this workshop. Use only the details above. Do not invent a price, address or booking link. After the notice, list the details I still need to confirm before publishing.

You can now judge the draft against something concrete. Did it retain the correct time? Did it invent “free entry”? Did the missing details appear separately, where you can act on them?

The exercise teaches more than asking for a general description of what AI can do. It shows how the tool handles a real kind of gap in the information.

Next: Use business information deliberately

Use business information deliberately

When you move beyond fictional details, decide what the tool actually needs to see. Remove unnecessary names, contact details and other private information. Check the tool's data settings and terms before using business material; redaction alone does not settle every privacy or confidentiality question.

Australia's cyber security guidance recommends checking vendor data handling and setting clear rules for what can be shared. Its small-business AI guide is a useful place to start those questions.

You do not need to connect your whole inbox or document store to discover whether an assistant can improve a paragraph.

Next: Judge the whole task, including corrections

Judge the whole task, including corrections

Read the result beside the original input. Look for facts that changed, details that disappeared and confident statements with no support. Check whether the wording suits the people who will use it.

Then ask whether the total effort was worthwhile. Preparing the input, explaining the task and fixing the result all count. A fast first draft can still need too much checking; a modest draft may be valuable if it leaves you with a clear final edit.

Keep a brief note: what you tried, what needed correcting and whether you would use the approach again. Treat an unsuccessful attempt as information about that task, rather than a reason to buy another tool immediately.

Next: Repeat before expanding

Repeat before expanding

Try the same instructions with a different example. Change the workshop date and materials, for instance. Check that the new draft uses the new facts instead of carrying details over from the first one.

If the approach remains useful, save the instructions and your checklist together. If it keeps missing the same detail, improve the brief or choose a smaller task. You can consider connections or automation once you understand the work well enough to recognise when it should pause.

Your first useful step is simple: choose one task and write down what you would accept as a good result. Then use the AI answer-checking guide to review what comes back.

Next: Further reading

Further reading

Australian Government guidance on using AI in business covers practical uses and checking outputs. The exercise above is a way to put those broad principles into a small, manageable test.