Ava asks the same core intake questions a sharp CSR would: the caller's name, phone number, service address, and what's wrong with the door. Then the AI receptionist intake questions branch based on the answers — a trapped car gets different follow-ups than a squeaky opener.
Four fields get captured before anything else happens:
Those four turn a ringing phone into a usable lead. Missing any one of them, and you're calling back blind.
After the basics, Ava asks what the situation needs:
This is where the intake questions earn their keep. A broken-spring caller with a trapped car gets flagged urgent and escalated per your rules. A remote-battery question gets booked into a normal window. Same phone line, two very different outcomes — sorted without you touching the phone.
Every call summary that hits your phone already has name, number, address, and issue — no chasing details between jobs. For the deeper walkthrough of how those fields get captured and confirmed, read how AI receptionists capture every lead.
The AI receptionist intake questions are also configurable at setup. Want to ask about door brand, opener model, or how the caller found you? That gets built into your script during onboarding.
Call the live demo and have Ava call you now — hear exactly what your customers will hear when they call your shop.