How to Use AI in Your Small Business: A Plain-English Starting Guide

You finish a busy day and realise you have spent more time replying to routine emails, chasing quotes and sorting paperwork than doing the work that brings in revenue. AI may be able to help with some of those jobs, but finding the right tool and figuring out how to use it can feel like another task on your list.

The practical answer to how to use ai in small business is to start small. Pick one repetitive, low-risk task, try AI for two weeks, and check whether it genuinely saves time or improves the work.

You do not need a technical background or a big rollout. You need one useful task, a little time to test it and a person who checks the results.

What can AI help with?

For many small businesses, AI is most useful as a first-draft assistant. It can help turn rough notes into a draft email, organise a list of common customer questions or summarise a set of non-confidential notes.

For example, you might use it to:

• Draft a polite follow-up after sending a quote.
• Turn notes about a job into a first draft of a customer update.
• Create a checklist for closing the shop or preparing a work vehicle.
• Draft a reply to a common question.
• Summarise general feedback to spot recurring themes.

AI can get things wrong, miss important context or produce text that sounds confident but is inaccurate. Treat its output as a draft, not a decision or a finished message.

Step 1: Pick one boring task

Start with the jobs you or your team repeat every week. Look for something that takes time, follows a familiar pattern and has a clear result.

A good first task might be drafting a standard customer follow-up email. A poor first task might be letting AI decide which staff member gets a shift, or automatically sending quotes without anyone checking the details.

Write down the task in one sentence:

“I want to reduce the time it takes to draft a follow-up email after a quote.”

Then ask yourself:

• Do we do this task often?
• Is the process fairly similar each time?
• Can someone check the result before it goes out?
• Can we test it without sharing private customer information?

If you cannot answer those questions clearly, choose a simpler task for your first trial.

Step 2: Set a baseline before the trial

Before using AI, check how the task works today. You do not need a complicated spreadsheet. Note how long it usually takes and what “done well” looks like.

For instance, if drafting a quote follow-up takes about 10 minutes, record that as your starting point. Also note whether the message needs corrections, whether customers respond, and whether anything important is often missed.

Choose one or two measures to track:

• Minutes spent on the task.
• Number of edits needed before the result is usable.
• Whether anything important was missed.
• Whether the work was completed more consistently.

The goal is not to prove AI works. It is to find out whether it helps your business enough to be worth keeping.

Step 3: Run a two-week trial

Choose a tool your business can access, and test it with a small number of examples. If possible, start with software your team already uses rather than adding several new tools at once.

Give the tool clear instructions. For example:

“Write a friendly follow-up email for a customer who received a quote yesterday. Keep it under 100 words. Do not promise a price change or a start date. Leave placeholders for the customer’s name and quote number.”

Review the draft. Check the tone, details and any claims before using it. If it misses the mark, improve the instructions or decide the task is not a good fit.

For your first test, use fictional examples or remove personal details. Before entering business or customer information into a tool, check its privacy terms and your obligations. The OAIC guidance on commercially available AI products explains privacy risks to consider. The OAIC’s small business privacy guidance is also a useful starting point. Privacy obligations depend on the business and the information involved, so do not assume that all small businesses are exempt.

A simple first-week plan

You do not need to set aside a full day. A few short check-ins can get the trial moving.

Day	What to do
1	List a few repetitive tasks. Choose one that is low-risk and easy to check.
2	Record how long the task takes now and what a good result looks like.
3	Choose one suitable tool. Check the privacy terms before using it.
4	Test it with a fictional or non-sensitive example. Write down what worked and what did not.
5	Adjust your instructions, try one more example and decide who will review the output.

This first week is for setup and early testing. In the second week, use the tool on a small number of suitable tasks, with a person reviewing every result. Keep a simple note of the time, edits and problems.

Step 4: Review the results at the end of two weeks

At the end of the trial, compare your notes with the baseline. Ask:

1. Did the task take less time overall?
2. Was the output good enough after a reasonable number of edits?
3. Did it introduce mistakes, extra work or risks?
4. Is the cost sensible for the time or quality gained?
5. Would the team choose to use it again?

A task is not a good candidate just because AI can do part of it. If checking and correcting the result takes longer than doing the task yourself, the trial has given you useful information: try a different task or stop.

Common first-time mistakes

Trying to change everything at once. A single trial is easier to manage, explain and evaluate than a list of new AI tools.

Starting with a high-stakes job. Keep a person responsible for customer communication, money, staff matters and other important decisions.

Entering private information without checking. Do not paste customer details, employee records, passwords or confidential documents into a tool until you have checked whether it is appropriate and safe to do so.

Accepting the first answer. Check names, dates, prices, calculations and claims against your own records. AI may make mistakes even when the wording sounds polished.

Skipping the team. If a task affects other staff, explain what you are testing and ask what would make the process useful. The people doing the work often know where delays and double-handling happen.

Measuring only speed. Time matters, but so does accuracy. A faster draft that creates customer confusion or needs extensive correction is not a win.

If the trial works, expand carefully

If you see a clear benefit, write down the process that worked: which tool you used, what instructions helped, what information must stay out of it and who checks the result. Share that guidance with the people who will use it.

Then choose the next repetitive task and run a separate trial. Do not assume a tool that works well for emails will also be suitable for invoices, rosters or job scheduling. Each task has different risks and checks.

The Australian Government’s business.gov.au guidance on artificial intelligence offers further information for businesses considering AI. Keep your approach grounded in your actual work, and review whether the tools and rules still suit your business as things change.

AI Driven Biz works with small businesses to put AI into practical workflows, test what is useful and support teams as they learn. You can also start without outside help: choose one routine task, set a two-week trial and keep a human in charge of the result.

Your next step is simple. Write down one job you would gladly spend less time on this week, then test whether AI can help with a small, safe part of it.