Case Study
AI Receptionist — 6 weeks of real call metrics
July 7, 2026 4 min read·Service Pro Suite Team
# The setup
Southeast Comfort HVAC, based near Charleston. 4 techs. Twilio number
already active. They turned on AI Call Answering the first week of November.
# The 6-week numbers
- Total calls answered by AI: 812
- Booked directly on the calendar: 574 (70.7%)
- Escalated to human callback: 189 (23.3%)
- Hung up during greeting: 49 (6.0%)
# What the AI did well
Emergency triage ("no heat, freezing tonight") → same-day booking.
Standard tune-up requests → next-available slot.
Simple pricing questions → confident answers pulled from the service
catalog.
# Where the humans still win
Multi-property commercial contracts, insurance-covered water damage jobs,
and any call where the customer specifically asked for the owner.
# Bottom line
70% of inbound calls now book without touching a human dispatcher.
The office manager reclaimed 3-4 hours a day. Same crew, same trucks,
30% more revenue during month 2. Enterprise tier pays for itself in
recovered opportunity cost alone.
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