Roofers AI Employee exists because there's a gap in the trades industry that no one has fixed: small and mid-sized contractors lose business every day because they can't be in two places at once. We build the missing employee.
A roofer makes money on the roof. They lose money behind a desk. The standard way to fix this is to hire an office manager — but at $50,000 to $65,000 a year before benefits, the math doesn't work for a solo operator or a small crew. So most contractors do it themselves: answer calls between jobs, return voicemails at 9pm, send estimates from the truck, lose business to whoever picked up the phone first.
We saw the gap. AI voice technology has reached the point where it can credibly handle the work an office manager would do — answering calls, qualifying leads, booking appointments, following up — at a fraction of the cost. Not as a chatbot. Not as a tool. As an employee. One that works 24 hours a day, never quits, never has a bad day on the phone.
Roofing has every characteristic of a trade where AI Employees create disproportionate value. Calls are time-sensitive — a homeowner with a leak isn't going to leave a voicemail and wait. Average job value is high — a missed call can be a $10,000 mistake. Storm seasons create unpredictable surges that office staff can't scale to. Insurance work requires constant back-and-forth that drains hours from owners. The math is more compelling for roofers than for almost any other trade.
We started with roofing. We'll expand to other trades. But the focus on roofing is deliberate, and it's why our AI Employees know the difference between a hail damage call and a wear-and-tear call, between a residential homeowner and a property management company, between an honest insurance adjuster and one who's stalling.
It's the only honest way to sell this. AI voice technology has gotten good enough that we believe roofers should hear it work before they commit to anything. Slide decks lie. Demos with someone else's voice lie. The only thing that doesn't lie is calling a phone number and talking to your own custom-built AI Employee.
So we built a process to deliver one in 12 hours. It's labor-intensive. We cap submissions to keep the turnaround real. And we'd rather have someone hear it and walk away than try to sell them on a promise.
The product has to be good enough to sell itself. If a roofer hears their AI Employee work and doesn't immediately understand the value, we built it wrong.
AI is going to change how trades businesses operate. The contractors who adopt it early will have an unfair advantage over the ones who don't — the same way contractors who got serious about Google reviews in 2015 ended up dominating their local markets while their competitors were still relying on word of mouth.
We're not interested in building an AI tool that gets used for two months and abandoned. We're interested in building something that becomes part of how the business runs. That's why we focus on the employee metaphor: an employee shows up every day, learns over time, becomes more valuable the longer they're on the team. That's the bar.
Every deployment is custom. We don't have tiered plans because every roofing business has different needs. A solo roofer running a small crew and a multi-location commercial outfit don't need the same AI Employee, and they shouldn't be paying for the same thing.
We're month-to-month. No long contracts. No setup fees. If we're not earning our keep, you should be able to walk away without penalty. We've structured our business this way because we want our clients to stay because the AI Employee is making them money — not because they're locked in.
Tell us your website and the kind of calls you get. In 12 hours we'll build a working prototype trained on your business.
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