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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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