AI Quoting Software for Tradies: Who's Liable for the Price

Fifty thousand trade and service businesses now run on software that will write a customer's quote for them. It's sold as time back — five to eight hours a week off the paperwork, most of a Saturday returned to a solo sparky or a small plumbing crew. What the sales page doesn't mention: when that AI-drafted quote goes out under your name, Australian Consumer Law treats the price as yours. Not the software's. Yours.

Job-management tools like ServiceM8 — used by more than 50,000 trade and service businesses across Australia and New Zealand — now draft quotes straight from your on-site job notes and photos. Simpro, Tradify and Fergus have built AI into their platforms too. The time saving is real and worth having. The catch is quieter, and it sits in who answers for the number.

Start with what's fine, because most of it is. Personalised and dynamic pricing isn't illegal in Australia — the ACCC's position is that you must be clear about the price a customer will pay and must not mislead them about it or why it changed. Charging more for an after-hours callout, a rush job, or a tight roof cavity is normal, defensible pricing. The reason sits in the job.

It breaks when the reason sits in the customer, or when the quote itself misleads — and this is where AI-drafted quotes carry an exposure most operators haven't clocked. Australian Consumer Law is technology-neutral: "the app generated it" is not a defence. If an AI-drafted quote overstates a discount, invents a fee, or quietly prices one postcode above another, the misleading-conduct risk is yours. Since 28 March 2026 the maximum penalty for a company is the greater of $100 million, three times the benefit, or 30% of annual turnover — and that last limb is the one built to scale down to a business your size.

This isn't a reason to go back to writing quotes by hand at 9pm; the tools that hand you those admin hours back are worth using. It's a reason to keep a human between the AI and the customer. If you can't yet explain, in one sentence, how your quoting tool lands on a number, that's worth sorting before it sends one for you.

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Dynamic pricing has gone mainstream. Woolworths alone has fitted around 17 million electronic shelf labels that can change a price in seconds, and on 20 July 2026 the federal government named "retail surveillance pricing" — setting a price from a customer's data rather than the job — one of five AI consumer-safety priorities it will examine under Australian Consumer Law. The technology that personalises a price is cheap now, and it is trickling into the everyday tools small businesses run on. The regulator's attention is moving in the same direction.

Three habits keep you on the right side of it. First, review every AI-drafted quote before it goes out — treat the draft as a starting point, not a decision. Second, write your pricing rules down, and make sure each one is about the job (complexity, urgency, access, materials), not about who the customer is. If a rule is one you'd be uncomfortable saying to a customer's face — "they're in a good suburb," "they sounded like they'd pay it" — that's the part carrying the risk, and it doesn't matter whether a person or a model applied it. Third, keep a human able to justify any number the system produces. The operators who treat AI quoting as a transparency question, not just a speed one, are the ones who won't be unpicking a complaint six months from now.

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Not sure how your quoting tool sets its prices?

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