For dental practices losing new patients to unanswered calls
Every missed call can become a missed patient, a broken schedule, or lost production.
DrSupport's missed-call AI receptionist is designed to answer or follow up when the front desk cannot, capture the patient's need, route the right next action, and keep humans in control before anything sensitive happens.
Pilot operating model
Connect Open Dental or import a pilot export
Find front-desk work before it becomes lost revenue
Draft, assign, or automate safe next actions
Escalate anything risky to your team or DrSupport assistants
The call problem usually shows up as a schedule problem later.
These are not abstract workflow problems. They are the moments where production, collections, and patient experience start leaking.
New patients call during lunch, after hours, or while staff are already helping patients at the counter.
Voicemails pile up and the office calls back too late, after the patient has contacted another dentist.
Urgent dental pain, broken crowns, hygiene openings, and treatment questions are mixed together with routine messages.
The doctor sees empty chair time or weak new-patient flow, but the lost calls were never measured as a revenue leak.
What DrSupport does
Capture the call, classify the need, and route the next action before the opportunity disappears.
AI-assisted intake for patient name, phone, urgency, reason for calling, preferred appointment window, and insurance status.
Instant SMS follow-up so the patient knows the office received the request even when staff are busy.
Front-desk task creation for scheduling, emergency triage, insurance questions, and treatment follow-up.
Human-review mode for anything clinical, financial, or unusual before messages or callbacks are completed.
Workflow
Start with missed-call visibility, then add safe automation.
We start in monitor or human-review mode, then only automate the repeatable actions that prove safe inside the practice.
Step 1
Forward missed or overflow calls
Use a forwarding number or after-hours line to capture calls that would normally become voicemail or a lost lead.
Step 2
Classify the patient need
Separate emergency requests, new-patient scheduling, hygiene openings, insurance questions, treatment follow-up, and general messages.
Step 3
Text and task the next step
Send an approved confirmation text and create a front-desk queue item with urgency, context, and recommended action.
Step 4
Measure recovered opportunities
Track missed calls captured, appointments booked, response time, and potential production saved from falling through the cracks.
Software core
A local AI receptionist wedge that can grow into the DrSupport front-desk command center.
DrSupport is being built as an AI operations layer on top of practice data — not a generic chatbot and not another disconnected dashboard.
Twilio-style phone/SMS path with practice-approved scripts and escalation rules.
Patient-intake fields designed for dental scheduling rather than generic call-center notes.
Dashboard queue for unbooked requests, urgent callbacks, and follow-up attempts.
Expansion path into reminders, recall, insurance verification, review requests, and Open Dental writeback after pilot proof.
Why this is the fastest cash test
The ROI is easy for owners to understand: one recovered emergency visit or new patient can justify the monthly cost.
The MVP can run without deep PMS integration by starting with call forwarding, SMS, and human-reviewed work queues.
Dental offices already know the pain of being short-staffed at the phones; the offer does not require category education.
Best fit
Dental offices where calls go to voicemail during busy periods or after hours.
Practices trying to grow new patients without hiring and training another full-time front-desk person.
Owners who want a measured pipeline of missed-call opportunities, not a vague phone-answering promise.
Find out how many patient calls are leaking before they hit the schedule.
Start with a missed-call leak audit. DrSupport maps where calls are being missed, what each call was worth, and which workflows can be handled by AI, staff, or assistants.