ReceptionistAI — Montra

ReceptionistAI

Calls coming in during procedures. After-hours inquiries reaching voicemail. Front desk juggling patients and phones.

Patients with intent not waiting for callbacks.

Opportunities disappearing into silence.

No clear record of what was missed.

The invisible cost

When a patient calls and no one answers, there's no line item for that. No alert. No notification that something was lost.

The loss accumulates quietly. A patient who moves on. A procedure that doesn't get booked. Revenue that was never recorded because the inquiry was never captured.

This doesn't show up in reports. It shows up as missed potential that no one can measure.

This loss doesn't show up as a line item. It shows up as silence.

Why this is not a staffing problem

Staff performance isn't the issue here. Coverage is.

Even excellent teams can't answer calls during procedures, over lunch breaks, after hours, or on weekends. Humans have capacity limits. Timing gaps are structural, not personal.

Hiring more people doesn't solve timing. It just spreads the same gaps across more schedules.

What ReceptionistAI is

A system that ensures inbound calls, texts, and form submissions are answered, handled professionally, and either booked or followed up—when humans are unavailable.

It works alongside your staff. It doesn't replace anyone. It covers the gaps that staffing can't solve—nights, weekends, high-volume periods, and times when your team is with patients.

How it works

When a call comes in and staff is unavailable

The system answers, qualifies the inquiry, and books the appointment or schedules a callback.

When a form is submitted after hours

Follow-up begins immediately, with outreach happening before the patient considers other options.

When appointments are booked

Automated reminders and confirmations reduce no-shows without requiring staff to manually follow up.

When inquiries need human review

The system flags them and provides context, so your team picks up exactly where the conversation left off.

Who this is for—and who it isn't

This is for

Clinics already receiving consistent inbound demand

Operators who want fewer blind spots in their intake

Owners who value reliability over experimentation

This is not for

New clinics without established patient flow

Practices testing ideas rather than committing to systems

Owners chasing quick fixes or growth hacks

Pattern recognition

This is the same failure point we see repeatedly. Inbound demand already exists. The structure to capture it doesn't.

Every operational review shows the same breakdown: calls during procedures, inquiries after hours, follow-up dependent on individual memory rather than system.

ReceptionistAI addresses the structural gap. Not the demand side. The capture side.

Review whether this applies to your clinic

We can walk through your current call flow and identify where coverage gaps exist. No pressure, no pitch—just a clear assessment of whether this makes sense.

Schedule a review 20 minutes · No commitment