When we proposed deploying an AI voicebot for a three-location dental practice, the practice administrator was skeptical. “Our patients are used to speaking with a person,” she said. “I’m not sure they’ll accept a robot.”
90 days later, 85% of calls were being handled entirely by the voicebot — and patient satisfaction scores had gone up.
We tracked six metrics before and after deployment: call answer rate, appointment booking rate, average call handling time, patient satisfaction (via post-visit SMS survey), missed after-hours calls, and front desk hours spent on phones.
Before the voicebot, the practice missed 34% of after-hours calls. After deployment, 100% were captured — the bot handled them and booked appointments or scheduled a callback. New patient bookings increased 34% in the first month alone.
The most surprising result: patients rated their call experience with the AI higher than with the human receptionist on clarity and wait time. The bot answered every call in under 2 seconds, never put anyone on hold, and spoke clearly in both English and Spanish.
Edge cases remain challenging. Complex insurance questions, emotionally distressed patients, and highly unusual scheduling requests still needed to be routed to a human. We designed the system to recognize these situations and escalate gracefully.
The key insight: a voicebot’s job isn’t to handle every call. It’s to handle the 80% of routine calls so your team can focus on the 20% that actually need them.
We offer a free consultation and a custom demo for healthcare providers.