When a December 2025 storm flooded A&A Roofing with calls, an AI agent answered 24/7, sorted urgent requests, booked inspections and created jobs in Zuper. Zuper reports $440K in deal value, 21 new jobs and 30 callbacks logged during the storm.
The owner says 679 calls came in that December and the AI picked up 144 he would otherwise have missed. Zuper reports a 458% call surge handled with no extra staff, 21 new jobs, 30 callbacks captured and $440K in deal value. (as reported by the source)
Guide: AI receptionist for small business: real examples and how to set one up
Our own prompt for copying this setup. Swap in your details. Not quoted from the source.
You answer calls for [Roofing Company]. Ask if this is a new inspection, an update on an existing job, or something else. For new damage, get name, address, phone and what they can see (missing shingles, leaks, vents). Mark active leaks as urgent. Offer the next open inspection slot and book it. If they need a person, log a callback with notes.
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. It reports 39 calls answered and 56% booked in 30 days.
A Jacksonville plumbing company's AI phone line picks up every call, books into ServiceTitan, and sends urgent calls to the on-call tech, cutting about 18 missed calls a week.
A Las Vegas HVAC company uses a voice agent that finds the customer, judges urgency, books an open slot and calls back on its own if the call drops, so no one waits on hold in peak season.