[ Case 02 ] — System layer

Missed-Call
revenue recovery

Practices miss ~32% of new-patient calls, and ~40% come in after hours. Each missed call is a patient walking to a competitor. This automation catches every one — with an instant, human text-back and a logged lead — before they're gone.

Role
Design + Build
Stack
Twilio · Make · Airtable
Status
Live & verified
The flow — call to booked, in ~10 seconds
[01]

Call comes in

Rings the front desk like normal.

[02]

No answer

Busy, after-hours, or rings out.

[03]

Instant text-back

Time-aware SMS with a booking link.

[04]

Lead logged

Captured in a clean dashboard.

What the patient gets

A warm text,
not a dead end.

The message knows the time of day — a different, human note for business hours vs after-hours — and always lands as plain, reliable text. No robotic auto-reply, no "we'll call you back" black hole.

Behind it: the call hangs up cleanly, the lead is written to the practice's dashboard with the right local timestamp, and the owner sees exactly how many calls would have been lost.

Missed call × (480) ••• ••••
Hi! So sorry we just missed your call — we were probably with another patient. Pick a time that works for you here and we'll take care of the rest: cal.com/your-practice
Delivered · lead logged
The cost of doing nothing
$20–70k

Lost per year from roughly one missed new-patient appointment a day. That's the bleeding-neck the system stops.

The result
~10 sec

From missed call to a text in the patient's hand and a lead in the dashboard. Verified end-to-end, including correct after-hours routing.

Why it's the [02] layer

Built once, reskinned per niche — dental first, then HVAC and real estate. It pairs with a GrowthStack site (the [01] layer) and sets up the AI receptionist (the [03] layer) that answers and books the overflow calls automatically.

Stop the leak

Recover the calls
you're losing now.