How a 40-person HVAC company in Denver saved $180K/year with AI-powered dispatch
Automating dispatch, quoting, and field reporting for a growing HVAC operation
The Challenge
The company had grown from 6 trucks to 12 in three years, but their operations hadn't scaled with them. The owner was spending Sunday nights manually building the week's dispatch schedule in a spreadsheet, and the office manager was fielding constant calls to shuffle appointments.
- Dispatch scheduling took 6+ hours per week and still left trucks with 15-20% idle time between jobs
- Quoting required a site visit, manual measurements, and a 48-hour turnaround — by which point many customers had already called a competitor
- Customer follow-ups after service were inconsistent at best, leading to poor review generation and repeat business
- Technicians spent 30-45 minutes per day on paperwork — writing up job reports, logging parts used, and updating ServiceTitan
The Solution
We built four interconnected AI systems that plugged directly into their existing ServiceTitan instance — no rip-and-replace required.
Smart Dispatch Optimizer
An AI scheduling engine that factors in technician skills, location, job duration estimates, traffic patterns, and parts availability. It generates optimal daily routes and automatically rebalances when cancellations or emergency calls come in.
Photo-Based AI Quoting
Customers or techs snap photos of the unit and the space. The AI identifies the equipment model, assesses condition, calculates load requirements, and generates an itemized quote — typically within 2 hours of the initial request.
Automated Customer Communications
A communication engine that handles appointment confirmations, day-of ETAs, post-service follow-ups, review requests, and seasonal maintenance reminders. All personalized, all automatic.
Voice-to-Report for Technicians
Techs dictate their job report into their phone while walking to the truck. The AI transcribes, structures, and files the report in ServiceTitan — complete with parts used, work performed, and recommendations for future service.
The Results
Within 90 days of full deployment, the impact was clear across every part of the operation.
- The dispatch optimizer alone recovered an estimated 2.3 additional jobs per truck per week by eliminating dead time between appointments.
- Faster quoting led to a 31% improvement in quote-to-close rate — customers were getting professional estimates before they had time to shop around.
- Automated follow-ups generated 3x more Google reviews, pushing their average from 4.1 to 4.6 stars within four months.
“I used to spend my Sundays dreading Monday's schedule. Now the AI builds a better dispatch plan than I ever could, and my guys are doing more jobs with less windshield time. The quoting tool alone paid for the whole project in the first quarter.”
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