The problem
Our client is a busy medical practice in the US. Inbound patient calls were constant — new patient intake, appointment booking, FAQs, follow-ups. During peak hours, patients waited on hold. After hours, calls went unanswered entirely.
Every missed call was a missed appointment. The practice needed a receptionist available around the clock, but hiring additional staff to cover evenings, weekends, and overflow wasn't financially viable. They were paying a fixed salary cost for coverage that could only handle one caller at a time.
What we built
An AI voice agent deployed into the practice's production environment as a full-time receptionist.
Inbound call handling — The agent answers every call instantly, day or night. No hold times, no voicemail, no missed calls. Multiple patients can call simultaneously and each gets a live conversation.
Patient intake — New patients are guided through the complete intake process over the phone. The agent collects the information the practice needs before the appointment, so patients arrive ready to be seen.
Appointment booking — The agent books appointments directly into the practice's scheduling system. No back-and-forth, no callbacks.
FAQ handling — Common questions about hours, location, insurance, and procedures are answered immediately without tying up staff.
The result
Within the first month of a proof of concept, the AI agent was handling hundreds of patient calls — effectively replacing a full-time receptionist at a fraction of the cost. A 15x cost saving compared to the human equivalent.
The practice replaced a fixed salary expense with a variable usage cost. They only pay for the work performed. The agent handles unlimited concurrent calls, works 24/7, and the practice director has barely needed to touch the system since launch.
