What you need to know
- AI for trades pays off as narrow agents: after-hours call capture, quote follow-up, and call-to-job-sheet summaries.
- A Sydney electrical business cut its ring-out rate from about 33% to about 15% with recovery on top of tracking. AI extends that further.
- An AI phone agent recovers the calls you miss on the tools, where the alternative is voicemail or the next tradie on Google.
- Gibson builds on Google Cloud Vertex AI and the Claude API, paired with missed-call SMS recovery so nothing is lost.
- Start with one bounded workflow and an explicit human-review and failure path before expanding the build.
Searches for “ai for trades” are still small in Australia, around 70 a month, which is exactly why it is worth building now. Most plumbers, electricians and HVAC firms have not touched it, so the first to ship a working AI agent gets a real edge while competitors are still reading about it. And unlike most AI hype, the trades use case is dead simple: turn missed calls into booked jobs.
Start with the number that hurts
A Sydney electrical business Gibson worked with had roughly a third of its calls going unanswered and about $100,000 a year in ad spend it could not account for. Adding tracking and missed-call recovery brought ring-outs down from about 33% to about 15%. AI is how you take the next slice: the calls that still slip through, and the slow follow-up that loses warm quotes.
Build one: the after-hours AI phone agent
You are under a house or up a ladder. The phone rings. Today that call goes to voicemail and the customer rings the next tradie. An AI phone agent answers, gets the job details (what, where, how urgent), and books a callback or an appointment. It handles AI phone calls for the enquiries you would otherwise lose entirely. This is the single highest-return build for a trade.
For a tradie, the maths is brutal and simple. If the average job is worth a few hundred dollars and you miss even a couple of calls a week, an AI agent that catches them pays for itself before the end of the month.
Build two: quote follow-up that does not get forgotten
Quotes go quiet because nobody has time to chase them. An AI agent reads your job management system, spots the quotes that have gone cold, and drafts a follow-up in your voice for you to send (or sends it on a rule you set). It is AI automation pointed straight at money you have already done the work to win.
Build three: call to job sheet
A third AI agent takes the recording of an inbound call and turns it into a clean job sheet: customer, address, problem, urgency, quoted price. No more scribbled notes lost in the ute. It is AI workflow automation that removes the admin tradies hate without changing how they work.
The stack and the cost
Gibson can evaluate Google Cloud Vertex AI, the Claude API and other suitable components after the workflow, evidence, data and failure risks are understood. Start with one bounded use case, define the human review and test record, then confirm deliverables, timing and commercial terms in writing. Call Tracking and Demand Recovery remain separate service decisions. The companion guide for real estate applies the same evidence-first approach.
If the phone is how you book work, this is the build that protects it. See the trades industry page or brief the Gibson team with the calls you keep missing.
Frequently asked questions
What can AI for trades actually do?
The builds that pay off for trades are narrow: an AI phone agent that captures and triages after-hours calls, an AI agent that follows up quotes that went quiet, and call summaries that turn a recorded call into a job sheet. The goal is recovering jobs that are currently lost to missed calls and slow follow-up.
Which trade business should build AI first?
Any trade where the phone is the booking channel and calls get missed on the tools: plumbers, electricians, HVAC, roofing, pest control. If you spend on Google Ads and lose a share of calls to voicemail, an AI phone agent recovers the most revenue fastest.
What does AI for a trades business cost?
Gibson scopes a bounded AI prototype after the workflow, evidence, data and failure risks are understood. The approved stack, deliverables, timing and commercial terms are confirmed in writing. Call handling or recovery is a separate service decision.
Will an AI phone agent annoy my customers?
Done well, no. The build is for the calls you currently miss entirely, where the alternative is voicemail or a competitor. A short, clear AI phone agent that captures the job and promises a fast callback beats a missed call every time.
