The virtual medical receptionist that books the appointment, not just the message.

A virtual medical receptionist answers your practice's calls, schedules patients, and handles routine requests without sitting at your front desk. The traditional kind is a remote human who takes messages. Ours is an AI that finishes the work: appointments booked into your EHR, refills routed, intake completed, questions answered under your protocols, in 15 languages, all at once.

Live on the athenahealth Marketplace · HIPAA-ready · SOC 2 Type II

The 8:01 a.m. problem

Monday morning. Six staff, forty callers, one queue. Your front desk picks up call one. Calls two through forty hold, and some of them hang up and dial the practice down the street.

No amount of virtual receptionist staffing fixes this, because humans answer serially. An AI receptionist answers in parallel. Caller thirty-nine gets the same immediate pickup as caller one. That single property is why practices switch. Everything else is a bonus.

What it handles

Scheduling, rescheduling, and cancellations, booked directly into athenahealth, Epic, or Oracle Health with your visit types, provider rules, and locations respected. Not a request form. A confirmed slot.

Prescription refill requests, captured, validated against your protocol, and routed to the right queue.

New-patient intake: demographics, insurance, and reason for visit collected conversationally before the visit.

The questions that eat your staff's day. Hours, directions, parking, prep instructions, fax numbers. Answered instantly and consistently, without pulling a human off a task that needs one.

And escalation, when your rules say so. Clinical concerns, upset patients, anything outside protocol goes to your team with the full transcript attached. The AI knows what it shouldn't handle. You define that boundary. The platform enforces it.

What makes ours different

Plenty of vendors sell an AI receptionist. Three things separate ours.

First, it completes work in your systems. The call isn't over until the appointment exists in the EHR and the outcome is documented. We're a live athenahealth Marketplace partner, which means the integration went through athena's own review, not just our press release.

Second, the governance is peer-reviewed. How the agent decides, when it escalates, how every action gets audited: we published that work. Two papers at AAAI 2026 and a benchmark at EACL 2026. Your compliance team can read the method instead of trusting a claim.

Third, it's bilingual by default, not by surcharge. One of our primary care customers runs every inbound call in English and Spanish across multiple sites, and uses the same platform for outbound Annual Wellness Visit outreach.

Results, with names attached

Capital Nephrology cut no-shows from 15 percent to 6.6 percent, worth roughly $120K a year. Luma Health runs 150,000+ bilingual patient conversations a month on our speech and telephony layer. Across customers: 3M+ patient interactions, 3,000+ providers.

Common questions

How does a virtual medical receptionist work? A human one works a phone shift remotely and relays messages to your staff. An AI one connects to your phone lines and your EHR. It answers, converses, checks the real schedule, books the visit, and documents the outcome, simultaneously across every caller, at any hour.

Will patients know it's AI? The agent identifies itself honestly and speaks naturally. What patients notice most is that someone picked up on the first ring at 9 p.m.

What happens when it can't help? It escalates to your staff with full context, following rules you set. Nothing dead-ends.

Is it safe for PHI? HIPAA-ready infrastructure, SOC 2 Type II, BAAs signed. PHI is never used to train public AI models.

How fast can we go live? Most practices launch their first workflow in weeks, usually inbound scheduling, then add refills, intake, and outreach.