AI receptionist
Your receptionist.
Every call answered on the first ring at any hour, appointments booked to your rules, and the routine admin a front desk spends its day on.
Answers, first ring, any hour
She picks up immediately, identifies the caller, and answers routine questions from your own information. After hours, before opening, and through the Monday peak.
Books and moves appointments
Against your own rules, freeing cancelled slots straight back into the calendar. She takes structured messages and confirms everything back to the caller by SMS.
Handles the routine admin
Booking is one job, not the only one. The small requests that occupy a front desk are dealt with on the call rather than queued for someone.
What changed
Running in · A medical practiceRunning at a medical practice, where a missed call is a booking made somewhere else.
What happens when it isn't sure
Anything urgent or sensitive, or a caller who simply wants a person, goes over immediately with the context already on screen. And if the platform is ever unavailable, calls route straight back to your team automatically.
Most of this already exists and is running. What gets built for you is the part that has to match how you actually work, which is why it is live in weeks rather than quarters.
For Olivia, that means your calendar and booking rules, your own information for the questions she answers, and your escalation list for the calls that need a person.
Your data stays yours and is never used to train shared models. How we handle security.