Where trades businesses should start with AI and automation

Start with a problem you notice every week

A useful first project usually comes from a frustration you can describe in one sentence. For example: calls come in while everyone is on a job and some callers never ring back. Or: quotes go out, nobody follows them up, and work is lost to a competitor who simply called again.

Other common candidates are job notes written from memory at the end of the day, customers ringing to ask when the technician will arrive, and invoices that sit unpaid because nobody had time to chase them.

Write down the two or three problems that cost you the most time or work. Be specific about when they happen and who deals with them now. That list matters more than any tool comparison, and it is the first thing a specialist will ask about.

AI or plain automation? Know the difference

Automation follows rules you set: when a quote has been sent and the status has not changed, send a reminder; when a job is booked, text the customer a confirmation. It does the same thing every time and is easy to test.

AI is useful when the input is messy or the output needs wording: summarising a rambling voicemail, turning rough notes into a tidy job summary, or drafting a reply to an unusual enquiry for someone to check. It can be wrong, so a person should review anything that matters.

Many good first projects need no AI at all. Before buying anything new, check what your job management software already offers. Some products include automated quote follow-ups, such as the ServiceM8 quote follow up automation add-on (opens in a new tab), and business.gov.au suggests looking at the digital tools you already use (opens in a new tab) because many now include AI features.

Prioritise with four questions

Once you have a short list, score each task against four questions. How often does it happen? How much effort is it to set up? What happens if it goes wrong? How much checking will a person need to do?

The best first project is frequent, fairly easy to set up, low risk if it misfires and needs little review. Something that happens twice a month is rarely worth automating first, however annoying it is.

These scores are illustrative. Your answers depend on your volume, your software and how your team works, which is why the scoring exercise is worth doing yourself.

Measure the starting point before you change anything

If you do not know how things are now, you will not know whether the change helped. Before setting anything up, spend two typical weeks keeping a simple tally.

Keep it light. A note on the fridge or a column in a spreadsheet is enough. The aim is a rough baseline you can compare against after the first month, not a reporting project.

• How many enquiries came in, and how many you could not answer straight away
• How many quotes went out and how many were followed up
• How many quotes were accepted, declined or never answered
• Roughly how much time went on admin each day, and who did it

Keep customer information and privacy in mind

Any automation that touches customer names, phone numbers, addresses or photos of their homes handles personal information. According to the OAIC, most small businesses with annual turnover of $3 million or less are not covered by the Privacy Act, but some are (opens in a new tab), so check whether an exception applies to you rather than assuming.

Either way, customers expect care. Avoid pasting customer details into free public AI tools, know which apps can see your job data, and be able to switch an automation off quickly. Our guide to AI and privacy for Australian businesses covers the basics in more detail.

A first-project checklist

Before you commit time or money, you should be able to tick most of these. If you cannot, the project may be too big or too vague for a first step. As business.gov.au puts it, start small and trial AI in one or two areas before rolling it out further.

• The problem is written down in one or two sentences
• You know roughly how often it happens and what it costs you
• You have checked what your current software can already do
• A named person will review outputs and handle exceptions
• You know how to pause or switch off the automation
• You have a baseline to compare against after a month

Where to go next

If quotes going quiet is your biggest problem, read how to automate quote follow-ups without annoying customers. If calls are the issue, our guide to AI receptionists for tradies explains what to check first.

When you are ready to talk to someone, prepare a short brief for an AI specialist and explore AI specialists for trade businesses. Your first consultation is free and lasts 15 minutes.