Case study · AI Voice Agent

Dental AI Voice Agent Case Study: 1,100+ After-Hours Calls Handled in 6 Weeks

A dental practice put PracticePilot’s AI voice agent on its after-hours line. Over six weeks the practice reported 1,100+ after-hours calls handled, calls that would otherwise have gone to voicemail, and approximately $50,000 in estimated revenue opportunity from captured demand and practice revenue assumptions. That figure is an estimate, not collected revenue.

After-hours calls handled
in six weeks
1,100+
Estimated revenue opportunity
from captured demand and practice revenue assumptions
≈$50K
Weeks
from go-live to these totals
6
Timeframe
6 weeks
reported
After-hours calls handled
1,100+
reported
Estimated revenue opportunity
≈$50,000
estimate
Calls per night
≈26
derived

The derived figure is a simple average from the reported total: 1,100 calls over 42 nights. The revenue figure is an estimate of opportunity from captured demand and the practice’s revenue assumptions, not revenue recovered or collected.

The problem

After-hours calls were going to voicemail.

This dental practice staffed the phones during office hours only. Anything that rang after closing, on a weekend, or while the front desk was with a patient went to voicemail. Some callers left a message. Many did not.

Why the after-hours line matters more than it looks

  • Toothaches and broken teeth do not wait for office hours, and the caller often books with whoever answers first.
  • New patients frequently call in the evening after comparing practices, when nobody is at the desk.
  • Voicemail asks the patient to do the work of calling back. Many do not.
The practice was not losing calls because the team was careless. It was losing them because nobody can answer a phone at 9 PM and still be at the desk at 8 AM.
What the practice deployed

The AI voice agent took the after-hours line.

No new phone system and no change to the practice management system. PracticePilot’s voice agent was connected to the existing after-hours line and set up with the practice’s instructions for routine questions, appointment requests, and urgent calls.

  1. 01

    Answers the after-hours line

    Calls after closing and on weekends are answered by the AI voice agent instead of going to voicemail.

  2. 02

    Handles appointment requests

    Callers can request an appointment. Booking into the schedule happens only through the practice’s approved integration; otherwise the request and callback details go to the team.

  3. 03

    Answers routine questions

    Hours, directions, and common insurance questions are handled in the call, and requests to change an appointment are captured for the team.

  4. 04

    Routes urgent calls

    Urgent calls are routed according to the practice’s instructions, with a call summary so staff see context, not a voicemail.

  5. 05

    Summarizes calls for the team

    Each morning the front desk sees call summaries, captured callback details, and the items that need a follow-up.

Six weeks, by the numbers

1,100+ after-hours calls handled. About $50,000 in estimated opportunity.

Over the six-week period the agent handled 1,100+ after-hours calls. Based on the demand captured on those calls and the practice’s revenue assumptions, the practice estimates approximately $50,000 in revenue opportunity.

How the estimate is calculated

The estimated revenue opportunity applies the practice’s own revenue assumptions to the demand captured on after-hours calls the AI voice agent handled during the period, calls that before the deployment would have reached voicemail. It is an estimate, not revenue recovered, collected, or earned, and it does not include daytime calls.

Per week · derived
≈183 calls
Per night · derived
≈26 calls
Opportunity · estimate
≈$50K
What changed day to day

The front desk starts the morning with call summaries, not voicemails.

Before
Voicemail queue
Listen, call back, hope to reach the patient, then book. Sometimes the patient had already booked elsewhere.
After
Requests captured overnight
Appointment requests, callback details, and a summary of each call are ready when the team arrives. Booking depends on the practice’s approved integration.
Before
Urgent calls by luck
Whether a toothache at 10 PM reached a clinician depended on who checked messages.
After
Urgent calls routed
Urgent calls are routed according to the practice’s instructions, with a call summary.
Is this typical?

Your numbers depend on your phone line.

Results depend on how many calls a practice misses today, how many of those are new patients or emergencies, and the value of the treatment booked. A single-location practice with a quiet evening line would likely see smaller totals than this one. A busy multi-provider office may see larger ones.

What is consistent is where the missed calls concentrate: after closing, at lunch, and whenever the front desk is with a patient. That is the line the AI voice agent takes over first.

See how the voice agent would handle your after-hours line.

Request a demo and we’ll walk through how the voice agent would handle your practice’s calls.

After-hours · CoveredNo PMS migration