Between 31% and 38% of calls into a dental practice go unanswered, according to the two largest published dental call datasets. That number is not a marketing statistic — it is the reason a hygienist ends up chasing voicemails on a Thursday evening. Ava answers those calls. Grant works the patients who stopped coming.
Four hands, in the order the work actually reaches them. Nothing below is a result — it is the sequence, so you can see where each of the four you hired picks the call up.
The call that lands mid-procedure, at lunch or after five is picked up, the caller is qualified, and the appointment is written into the schedule your team already works from.
Picked upThe repetitive procedural and insurance enquiries that would otherwise consume a receptionist’s morning, answered consistently every time.
Desk stays freeA caller comparing three practices is followed up across SMS and email for as long as the decision takes, rather than once and then never again.
Still in contactPatients eighteen months past their recall are worked automatically — records you already paid to acquire, without new advertising spend.
Recall runningMissed calls cluster. Lunch hour and Monday morning are the two worst windows in most practices, and after-hours volume is significant. Ava picks up in all of them, qualifies the caller, and books directly into your schedule — no callback queue, no voicemail that gets returned on Tuesday.
Every practice has a list of patients eighteen months overdue for a recall. Grant runs that list automatically — personalised, timed, and across SMS and voice — turning records you already paid to acquire into booked chairs without new advertising spend.
Kai handles the repetitive procedural and insurance-related enquiries that consume a receptionist’s morning, so your team keeps the complex conversations and the patients standing in front of them.
Generic voice AI fails in specific ways in every industry. These are the three that matter in dental practices, and how they are handled during setup.
The entire system is HIPAA compliant. For a dental practice this is not a feature to weigh against others — it is the gate that decides whether the conversation happens at all.
Bookings land in the practice management system and calendar your team already works from, with confirmations synced. A booking that lives somewhere your front desk does not look is not a booking.
You define what the AI must never handle alone. Anything past that line is routed to a named person with the full transcript attached, rather than being guessed at. Human oversight is a design requirement, not a fallback.
This is the full derivation, with a source behind every input. Most published figures in this category quote one input, imply two, and skip the fourth — which is how the same question produces answers between $50,000 and $700,000.
Worked example
| Missed calls per year | 10 × 52 = 520 |
| New-patient calls among them | 520 × 30% = 156 |
| Would have booked | 156 × 23% = 36 patients |
| First-year production | 36 × $685 ≈ $24,700 |
| Lifetime value | 36 × $4,800 ≈ $173,000 |
The honest first-year number is about $25,000, not six figures. The six-figure number is real, but it is the lifetime value of one year of missed calls — compounding over the following decade, and only if none of those patients ever call back. Before you believe any of this, pull your own call log and measure your real miss rate. If it is under 10%, this does not apply to you.
Setup is $3,000 per AI Employee, or $10,000 for four under the Go All In plan. Published on the pricing page, not held behind a form.
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Bring your call log to the call and we will work through your actual numbers rather than an industry average.
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