AI Dispatcher Build

The call you miss at 9pm is the job your competitor books at 9:05.
We build the AI dispatcher that answers every call — burst pipe at midnight, a quote request on a Saturday, a maintenance callback you forgot about — and the financial model that turns your job data into a plan for the next truck, hire, or slow season.
The job never stopped, but the phone did.
Whoever's supposed to answer is usually on a roof, under a sink, or elbow-deep in a panel — so calls go to voicemail, and most callers with an emergency or a quote request just call the next number on the list instead of leaving one.
~60%
Of callers with an urgent job (no heat, no water, no power) commonly hang up and call a competitor rather than leave a voicemail.
$150–2k+
Typical estimated job value range across an emergency service call vs. a full remodel or install — a wide spread that most shops never track separately.
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Contractors we've seen that had a real job-costing model connecting call volume, crew hours, and margin before working with us.
Figures above are industry-typical estimates for illustration, not guarantees for any specific business.
#1 Service
AI Dispatcher & Call Handling
A trained voice agent that answers, triages, and books — built around your service area, trades, and crew availability, not a generic script.
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Answers after-hours, weekend, and overflow calls
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Triages emergency vs. routine vs. quote-only calls
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Books directly into your scheduling or dispatch software
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Collects job details (photos, address, issue type) before a truck rolls
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Hands off to a live person for anything it shouldn't handle alone
How the build actually goes.
Four stages, most shops are live within two to three weeks.
01
Discovery call
We walk through your call volume, trades, dispatch or scheduling software, and the financial questions you're actually trying to answer — a new hire, a second truck, whether to take on more maintenance contracts.
02
Build & train the agent
We configure the dispatcher around your service area, trades, emergency-triage rules, and crew availability, and connect it to your scheduling system.
03
Test with real call scenarios
We run it against real dispatch scenarios — emergencies, quote requests, reschedules — before it ever touches a live line.
04
Launch & baseline the model
The agent goes live, and we build your first financial model using real call and job data so you can plan the next hire or purchase with numbers, not gut feel.
“A three-crew plumbing outfit missing roughly 15 after-hours emergency calls a month could be losing $4,000–8,000 in booked jobs before ever running the numbers on adding a fourth crew.”
This is the kind of gap we typically find in the discovery call: a missed-call problem that's actually a capacity-planning problem once you can see it in the numbers.