AI for the trades, built for the 5–100 person shop.
HVAC, plumbing, electrical, and general contracting: shops where the real work happens in the field and the paperwork chases everyone home at night.
Where does AI actually pay in the trades?
Three places, in our experience. These are the clearest wins we see in shops like yours, not results we promise. In every one, the software drafts and your people decide. If “agent” sounds like software-salesman talk, we wrote a plain-language definition in What an Agent Actually Is.
The job is captured and slotted before the dispatcher picks up.
Work arrives by phone, text, and voicemail, and someone retypes all of it. An agent captures the request, pulls the customer history, and drafts the schedule slot. The dispatcher still decides who rolls and when.
The invoice goes out when the truck leaves, not three weeks later.
The job is done, the invoice is not, and cash sits in the gap. An automation drafts the invoice from the job record the day the work closes, then watches what is outstanding and drafts the follow-up. The awkward calls get flagged for a person.
The estimate starts assembled instead of from a blank page.
Bids die in the backlog because assembling one takes a night you do not have. An agent pulls the takeoff details, your past jobs, and current costs into a working draft. The number that goes out the door is still the estimator’s.
In the trades the bottleneck is often already obvious: dispatch and invoicing. When it is, the AI Implementation Sprint can start there. If it is not obvious yet, start with the AI Readiness Audit and let the map tell you. Pricing is published, in plain numbers: audits run $3,500–$8,500; sprints $12,000–$45,000, fixed quote in writing. Not sure the shop is ready at all? The signs — and the 90-day fix — are published too.
One build, drawn to scale.
Of the example builds on our homepage, this is the one that maps most directly onto the invoicing gap that eats a contractor’s cash flow.
Watches the invoices so you don’t have to.
Tracks what’s outstanding, drafts the reminder in your voice, and flags the awkward exceptions for a human to send instead of firing them off blind.
The win: invoices chased on time, judgment calls still yours.Illustrative builds, not client claims. What we’d actually scope is whatever your free assessment shows is worth automating first. The one build we can name is MARCUS, a private AI back office for a regulated lender.
AI for construction businesses.
Want the numbers?
The full price list is published — audits, sprints, managed services, all on one page.
Read the price list →01What can AI do for a construction business?+
Often the invoicing and paperwork gap that eats cash flow — turning field information into clean billing, and chasing the documents that hold up payment.
02How much does it cost?+
The AI Readiness Audit runs $3,500–$8,500; an AI Implementation Sprint runs $12,000–$45,000, quoted fixed in writing before work begins.
03How long does it take?+
An audit is 2 to 4 weeks; a build is 4 to 12.
04Do you work remotely or on-site?+
We run two hubs — Denver, Colorado and Phoenix, Arizona — for in-person work, and we work remotely with businesses across the US. Same method, same fixed prices either way.
See the wins in the trades.
30 minutes with a senior advisor who walks your dispatch, invoicing, and bid workflows and tells you what is worth automating, and what is not.