HVAC · Plumbing · Electrical · Pest · Lawn · Cleaning
Everyone's selling you AI. Nobody's telling you where to start.
We spend two weeks in your business — on the phones, in the schedule, riding along with your guys — and hand you a ranked list of what to fix first, what it costs, and what it pays back. If the numbers don't hold up, we'll tell you that too.
Services
Four things, and the first one decides the rest.
Most jobs start with the audit and stop there if the numbers don't justify going further. That's the point of running it first.
The Audit
Two weeks. We sit with whoever answers your phones, ride along with your guys, and go through the last 90 days of jobs. You get a ranked list of what to fix, what each fix costs, and what it pays back.
Build
We build what the audit ranked first, then the next one, in the order you agreed. It's usually unglamorous — the confirmations your office chases by hand, the schedule that gets rebuilt every time someone reschedules. Nothing gets built that the audit didn't justify.
Own the rollout
Someone has to own it or it dies quietly. We price each phase before it starts, put a name against every piece, and track the return after it ships.
Training
45 days getting your office and your crews actually using it. A tool nobody opens returns nothing.
It was never the software.
53%
of contractors say the thing stopping them is not knowing where to start.
53%
Not knowing where to start
43%
Don't trust the outputs
32%
Data security
29%
Cost
73% of the same contractors say early adoption is a competitive edge.
Cost comes last. The problem isn't that AI is expensive, or that it doesn't work. It's that nobody can tell you which job to point it at first — and that is the entire job of the audit.
Figures from ServiceTitan's 2026 Residential State of the Trades, reported by ACHR News, April 2026. A survey of more than 1,000 residential contractors. The sponsor sells software into this market and set the questions. Read it yourself.
What the two weeks actually look like.
The results date is booked on the first call, before anyone is interviewed. That deadline is what keeps a two-week audit from becoming a six-week one. The ranges below overlap on purpose.
01
Days 1–2
Onboard
We meet your leadership, agree what we're allowed to touch, and book the date you'll get the results.
02
Days 1–7
Discover
Interviews with the people doing the work — whoever answers the phones, whoever builds the schedule, whoever chases the money. Ride-alongs where they help.
03
Days 5–7
Analyze
Every job we heard about gets a cost against it. What is this actually costing you a month, and what would it cost to fix?
04
Days 8–11
Align
We walk you through the findings before anything is scoped. No deck. You reorder the list — your sequencing wins, because you're the one who has to live with it.
05
Days 12–14
Present
The ranked list, with a price and a payback against every line. If nothing on it justifies a build, that's the honest answer and it ends there.
Notes from the work.
Short pieces on where AI pays back in a home service shop, and where it doesn't. No gated PDFs.
4 min
Why most AI projects return nothing
Ninety-five out of a hundred companies get no measurable return. The reason is rarely the technology.
5 min
What an AI audit actually produces
Not a slide deck of possibilities. A ranked list with a cost against each line and a price against each phase.
4 min
The tool nobody opens
Adoption is not a training problem you solve after launch. It is a design constraint from day one.
3 min
Pricing a build in phases
One number at the start is a bet. A price against each phase is a decision you get to keep making.
Questions worth asking — of us or anyone else.
Short answers here. The longer versions are what the call is for.
- Do I have to commit to a year?
- No. Phase by phase, priced before each phase starts. The audit ends with a list that carries a price against every line, so you approve cost in stages instead of signing one number at the beginning. If you go ahead with a build, the audit fee comes off it.
- Is this going to replace my guys?
- That's not what we point it at. The work we go after is the chasing, the retyping and the confirmations — the parts of the day nobody would defend. Your guys, and whoever answers your phones, are the reason people call you back in the first place.
- Will my customers know they're talking to a robot?
- If we ever put one on your phones, yes — it will say so in the first sentence. Every failure we've read about started with a bot using a human name and getting caught. People forgive a robot for being a robot. They don't forgive it for pretending.
- We've been burned by an agency before. Why is this different?
- Then you already know the shape of it — a retainer, a monthly report full of impressions, and visibility promised in six months. You own everything we set up: the accounts, the numbers, the data. And the person who pitched you is the person doing the work.
- Our data's a mess. Does that stop this?
- It usually is, and it's often the first finding. Messy data doesn't stop AI working — it makes it wrong in a way that still sounds confident, which is worse. Cleaning it up is unglamorous and it's frequently the cheapest thing on the list.
- How do you work out the return before we commit?
- From your numbers, not an industry benchmark. The interviews put a cost against the jobs you already run, then each opportunity carries a build cost and an estimate of what it gives back. The payback is arithmetic you can check rather than a claim you have to take on trust.
A 30-minute call. Bring your numbers.
Bring your job numbers and we'll tell you where AI is likely to pay back in your shop — and where it isn't. No deck, no slides, and nobody promising you visibility in six months. If we build, the audit fee comes off it.