AI receptionist for appointment booking
Inbound calls captured 24/7 with intent classification. Routine bookings handled in under 90 seconds. Clinical questions routed to a nurse.
Four patterns we hear from medical practices and clinics on every diagnostic call. None of them get fixed by hiring. All of them get fixed by writing the implicit rules down and letting AI carry the rote work.
Inbound calls captured 24/7 with intent classification. Routine bookings handled in under 90 seconds. Clinical questions routed to a nurse.
Multi-channel reminders at 7d, 24h, 2h. Auto-reschedule offers for no-shows. Show rate climbs because the workflow runs every time.
Pre-visit intake on the patient's phone. Writes structured fields into Athena, Epic, or eClinicalWorks. MAs stop re-keying.
Inbound refill requests across fax, phone, and portal → unified queue → controlled-substance flags + previous-script lookup. Prescriber approves in one click.
Recent labs, prior visit summaries, open orders → one-paragraph chart prep in the provider's inbox the morning of. Visits start informed.
Eligibility checks 48 hours pre-visit. Out-of-network or expired coverage caught before the patient arrives.
After-visit summaries, medication-adherence check-ins, satisfaction survey. Care continuity that used to depend on a postcard.
| # | Manual today | With Scooper |
|---|---|---|
| /01 | Front desk phones never stop ringing | AI receptionist for appointment booking |
| /02 | No-show rate hurts revenue | No-show recovery + reminders |
| /03 | Intake forms are still on paper | Digital intake with EHR sync |
| /04 | Refill requests and authorizations drown staff | Refill request triage |
We do not migrate you off your software. We build a layer on top.
“Front-desk call volume down 40%. No-show rate cut in half. Providers see chart-prepped patients instead of cold charts.”
15-min discovery → two-week paid diagnostic. Operator interviews, workflow shadowing, and three nasty real examples worked end-to-end. By day ten you have a scope, a price, and a signed-off KPI.
Senior operators in your repo and your Slack. Code, prompts, and evals shipped in 3–6 weeks. KPI signed off in writing before we start. Miss the number, the next sprint is on us.
Two rounds of post-launch tuning. Then your team owns it. We hand over the code, the eval harness, the runbook, and the SOPs. No retainer required. No vendor lock-in.
Anonymized · numbers from the books
A 6-provider primary-care practice was losing $18k a month to no-shows and had a four-week wait list. We shipped the AI receptionist and digital intake in five weeks. No-shows dropped from 13% to 6%, the front-desk team hired for replacement instead of growth, and the wait list shortened by 11 days.
We will tell you in 15 minutes whether AI fits your bottleneck. If it does, we will scope a two-week paid diagnostic. If it does not, we will tell you that too.