By Greg Allan, tradesman and creator of Data First Coaching
Why does a tiler lose billable days to office work?
Most tiling businesses run the office from the front seat of the ute, in the gaps between jobs. The owner is quoting a bathroom by square metre, chasing a supplier about tile stock, and trying to remember what was said on site three days ago, all before the invoice can go out. That unpaid admin sits on top of every day rate job and eats into the margin before the money even arrives.
A tiler's week is built around physical work: screed, floor preparation, waterproofing a shower recess, setting falls in a wet area, laying large format tile with the right adhesive and levelling clips. None of that pauses for paperwork. So the paperwork gets done late at night, or not properly, and it shows up later as a chased invoice or a warranty question nobody can answer with certainty.
What does it cost a tiling business to drive out on enquiries that were never going to book?
Every wasted site visit is a half day that could have gone to a paying bathroom or kitchen job. A renovation customer asking three tilers to quote, a builder with a vague scope, a photo that would have shown the job wasn't viable before anyone left the yard, all of these cost real hours.
The owner often can't see this clearly because it feels like normal selling, going out and meeting people. But measured against actual billable capacity, a week spent driving to enquiries that never convert is a week not spent tiling, and that is the number worth looking at before assuming the fix is more leads.
What can an AI agent actually do with the enquiries landing in a tiler's inbox?
An AI agent can read an incoming enquiry, ask for photos of the bathroom or splashback, and put together a rough price range before the tiler ever gets in the ute. That means the owner only drives out to jobs that are genuinely ready to book, not every enquiry that lands.
Picture a tiler who used to drive to every enquiry just to find out the customer wanted a full bathroom strip-out for the price of a tile-over, or who spent evenings typing replies to customers pushing back on price. An agent reading those same emails can ask for photos, work out a rough range, and draft a reply to a written price objection based on what the tiler has learned to say in those situations. The agent also checks every finished job for hours, photos and work notes before it goes anywhere near an invoice. The site visits that still happen are the ones worth making.
How can an AI agent turn on-site work notes into a finished job record?
An agent trained on how the tiler actually describes a job, screed laid, membrane applied, grout colour, breakage on a batch of tile, can take rough on-site notes and turn them into a proper job record ready for invoicing, without the tiler typing it up at night.
This removes the back and forth of someone in the office chasing the tiler for detail days after the job is finished, when half of it has already been forgotten. The record is built the way the tiler already talks about the job, not in a format borrowed from somewhere else.
How does an AI agent check a finished bathroom or wet area job before it's signed off?
An agent can check that every finished bathroom or wet area job has the photos, the work notes and the documentation a warranty on waterproofing actually needs, before the job is marked complete and invoiced.
For a tiler, that documentation is not optional admin, it is the difference between a warranty claim that is covered and one that becomes an argument months later over a leak nobody can prove was or wasn't there. An agent checking this at the point of sign off, rather than the owner trying to remember it weeks on, protects the business on every wet area job it does.
What's the difference between AI that just answers questions and an agent that does the work?
There is a real difference between AI that answers a question when asked, and an agent that goes and does the work itself, start to finish, without the tiler touching a keyboard on site. That shift, from answering to doing, is what actually changes a tiler's week.
An agent is only as good as the instruction it is given. It is another team member that needs to understand how this particular tiling business quotes, what it calls a day rate job versus a square metre job, and what its own warranty standard looks like, not a tool that reads minds. Getting that instruction right is a data first exercise: it starts from how the business already runs, not a generic setup built for any trade.
How does Data First Coaching approach this?
Data First Coaching starts by looking at where a tiling business's own data shows the admin actually piling up, enquiries that never convert, invoices delayed by missing work notes, warranty documentation chased after the fact, rather than guessing which office task to fix first. Greg Allan has shown members how an agent handling this kind of work needs to be built around their own jobs and their own words: “Our ops manager and our team has already gone in and customized, taken the work notes.” The how of building that for a tiling business is worked through inside the Academy, with other members, because the Trade Business Intelligence is powered by every member who is open minded, innovative and willing to share what they learn.
Looking for a business coach who starts from your numbers? Tiler Business Coach or every answer for tilers.
