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.
Business type: Contractors & home services. Tool used: HighLevel voice AI receptionist. Result: The company's staff member says over 90% of calls show positive sentiment in the CRM, complaints dropped from several a day to a handful a week, and the first AI bot cut after-hours costs roughly in half compared with the human service, while the in-CRM bot has almost cut the extra cost completely. Interview published by the consultant who built it.
Source: Allura Connections (Shared by the builder) · Added Mon, Nov 2 · Last updated 2026-11-02
The company's staff member says over 90% of calls show positive sentiment in the CRM, complaints dropped from several a day to a handful a week, and the first AI bot cut after-hours costs roughly in half compared with the human service, while the in-CRM bot has almost cut the extra cost completely. Interview published by the consultant who built it. (as reported by the source)
Guide: AI receptionist for small business: real examples and how to set one up
Guide: AI answering service for contractors: real examples and how to set one up
Guide: Smith.ai alternatives for small business: real examples
More businesses doing this job: Which AI tools answer customers after hours for small businesses · Which AI tools replace voicemail or an answering service · Which AI tools help small businesses with quotes and estimates
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.
HighLevel voice AI receptionist.
The company's staff member says over 90% of calls show positive sentiment in the CRM, complaints dropped from several a day to a handful a week, and the first AI bot cut after-hours costs roughly in half compared with the human service, while the in-CRM bot has almost cut the extra cost completely. Interview published by the consultant who built it. (as reported by the source)
Write down where your current answering setup goes wrong. Build the voice AI inside the CRM your team already uses. Have it ask first: existing customer or new caller?
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 after-hours calls for [pest control company]. First ask if they're an existing customer. Existing: help reschedule into an open 4-hour block, or take a message for billing. New: get name, address, email, home size and the pest problem, give the quote from [price list] and book a visit.
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.
A voice agent on a Florida plumber's existing number sorts calls into routine, urgent or emergency, books visits, and sends real emergencies to the owner's cell. In one 30-day window it reports 39 calls answered, 56% booked as work, and $38,674 in revenue.