The Problem
During peak summer season, HVAC contractors face a surge of inbound calls — emergency AC repairs, maintenance requests, and new installation inquiries. When the team is in the field, calls go to voicemail. Homeowners with a broken AC unit don't leave messages. They call the next company on Google.
This Dallas-based HVAC contractor was spending more on Google Ads while simultaneously losing a significant portion of those leads to missed calls during the busiest hours.
What They Needed
- •Every call answered on the first ring, even during peak hours
- •Service-type triage: emergency vs. maintenance vs. new install
- •Appointment scheduling that respects the team's field schedule
- •After-hours handling so emergency calls aren't lost overnight
What GetsYou Delivered
The AI voice agent was configured with HVAC-specific qualification criteria:
- Immediate answer — no hold music, no "press 1 for service"
- Service triage — identifies whether the call is an emergency, routine maintenance, or sales inquiry
- Qualification — gathers system details, problem description, address, and timeline
- Scheduling — books service appointments based on availability
- Follow-up — qualified leads are synced to the CRM for dispatch
The agent handles calls with a conversational, professional tone. It doesn't sound like an IVR system — callers engage naturally because the AI responds to what they actually say, not a menu tree.
Early Results
During the early access period:
- •The contractor reported that all inbound calls were answered, including after-hours
- •Service calls that previously went to voicemail were captured and scheduled
- •The team was able to review call recordings to verify the AI was correctly triaging emergency vs. routine calls
- •No technical setup was required beyond connecting their phone number
> "We used to miss most after-hours calls. Now every single one gets answered."
>
> — HVAC Contractor, Dallas, TX
Why It Worked
HVAC service is time-sensitive and emotional — homeowners with a broken AC unit in Texas summer heat are stressed. The AI detects that urgency in tone and language, prioritizes the call accordingly, and reassures the caller that help is being scheduled. That emotional layer is what separates this from a basic answering service.
This case study reflects early access usage. Results may vary by market, call volume, and service area.