Calculate AI receptionist ROI by multiplying monthly missed calls by the share that were bookable, your conversion rate, and average patient value.
The ROI of an AI dental receptionist comes from two sources: revenue recovered from calls that would have gone to voicemail, and staff time redirected from phone handling to higher-value in-person patient work.
Start with data. Your phone system can report total inbound calls and how many went unanswered across a typical month.
Estimate the share of missed calls that were bookable intent, then apply a realistic booked-if-answered rate. Multiply by average patient value.
Add the expenses the AI absorbs: answering services, overflow staffing, and the overtime spent returning voicemails.
Set recovered revenue plus offset costs against the subscription, and verify with answer rate and after-hours bookings.
Recovering a small number of otherwise-missed bookings per month covers the cost, so payback is measured in weeks.
Pull unanswered and voicemail counts from your phone system for a full month.
No. The model assumes current staffing and counts recovered revenue plus absorbed coverage costs.
Per location first, since miss rates vary widely, then aggregated.