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Case Study

AI Receptionist — 6 weeks of real call metrics

July 7, 2026 4 min read·Service Pro Suite Team
#Case Study
AI Receptionist — 6 weeks of real call metrics

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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