HL Bowman is an HVAC and plumbing company in Pennsylvania. Its marketing brought in more calls and web leads than the front office could catch: calls went to voicemail at peak times and after hours, web leads waited hours, and estimates went out without follow-up. It set up Avoca's AI to answer and book every call, reply to web leads within seconds, and follow up on missed calls and open estimates.
Business type: Contractors & home services. Tool used: Avoca AI (Responder, Speed to Lead, Outbound, Simple Scheduler). Result: Avoca reports a 100% call answer rate, a 93% satisfaction score from callers who used the AI, 70% revenue growth year over year, and cost per conversion down from $350 to $215. The president calls it 'the best decision I've ever made for the business.' Reported in Avoca's case study.
Source: Avoca AI (Company case study) · Added Tue, Nov 3 · Last updated 2026-11-03
Avoca reports a 100% call answer rate, a 93% satisfaction score from callers who used the AI, 70% revenue growth year over year, and cost per conversion down from $350 to $215. The president calls it 'the best decision I've ever made for the business.' Reported in Avoca's case study. (as reported by the source)
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Guide: AI answering service for HVAC companies: real examples and how to set one up
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HL Bowman is an HVAC and plumbing company in Pennsylvania. Its marketing brought in more calls and web leads than the front office could catch: calls went to voicemail at peak times and after hours, web leads waited hours, and estimates went out without follow-up. It set up Avoca's AI to answer and book every call, reply to web leads within seconds, and follow up on missed calls and open estimates.
Avoca AI (Responder, Speed to Lead, Outbound, Simple Scheduler).
Avoca reports a 100% call answer rate, a 93% satisfaction score from callers who used the AI, 70% revenue growth year over year, and cost per conversion down from $350 to $215. The president calls it 'the best decision I've ever made for the business.' Reported in Avoca's case study. (as reported by the source)
Have an AI answer every inbound call and book the job directly. Reply to every new web lead within seconds. Have the AI follow up on missed calls and estimates that haven't closed.
Answers come only from the source. Questions it doesn't answer are left out.
Our own prompt for copying this setup. Swap in your details. Not quoted from the source.
You answer calls for [HVAC and plumbing company]. Find out the problem, whether it's an emergency, and the address, then book from [calendar]. For an open estimate, text: 'Hi [name], any questions about your estimate for [job]? I can book the install for you.'
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Windura is a window and door replacement company in Kansas City, run by Bonnie Lee and her husband since 2001. For years they were the only two people answering the phones. After another AI answering service got worse over time, they switched and trained their AI receptionist on their own workflow.
Monkeyman Tree Service's crews were climbing trees and running chainsaws, so they missed many calls and followed up too late. A voice AI receptionist now answers every call, trained on their services, prices and scheduling rules. Each lead is added to GoHighLevel automatically, the customer gets a text confirmation, and the job goes into the crew's dispatch list.
Miller Pest Solutions is a pest control company in the Midwest. Its human after-hours answering service often gave wrong information, and a third-party AI bot it tried for about three months had the same issues. With a consultant, it built a voice AI receptionist inside its own CRM (HighLevel), where its sales pipeline already lives.