OpSpot installs an AI employee for your practice that answers the calls your front desk can't get to, runs new-patient intake, books and confirms appointments, recovers no-shows, and follows up on referrals — built to handle patient contact carefully and stay out of anything clinical.
A specialty practice lives and dies by the front desk, and the front desk is almost always underwater. The phone rings while a patient is being checked in, a referral fax lands but nobody calls the patient back for two days, a scheduled column has three open slots a no-show could have filled. None of that is a clinical problem — it's an operations problem — but it quietly costs a practice both revenue and the patients who gave up and called somewhere else. An AI employee closes those gaps without adding a person to the payroll or a new screen for your staff to babysit.
An AI employee isn't a chatbot or an after-hours voicemail box. It's a worker wired into your phone, email, and scheduling tools that does the front-office job end to end: picks up the call your team can't, runs intake, books the visit into the right provider's column, sends the reminders, works the waitlist, and chases the referral that went quiet. OpSpot builds it, connects it to the systems you already run, manages it on its own dedicated machine, and scopes it to logistics — never diagnosis. Here's how that maps to the pains a practice actually feels.
When a new patient calls a dermatology, ortho, ENT, or behavioral-health office and gets voicemail, they don't leave a message and wait — they call the next name on their insurance list. For a specialty practice, that first call is often a high-value consult or procedure, and losing it to a busy signal is the most expensive thing your phone does all day.
Your AI employee answers every call, including the ones that come in while your front desk is mid-checkout or on lunch. It greets the caller warmly, figures out whether they're a new or established patient, captures what they need, and either books the appointment or routes anything clinical to your staff. The patient feels handled in the moment they were ready to commit — instead of being handed to a competitor by a ringtone.
Intake is where front desks lose the most hours. Demographics, insurance, the reason for the visit, the referring provider, the forms that need to go out before the appointment — it's a lot of careful data entry squeezed between live patients at the window. So it slips, and new patients sit in limbo waiting for someone to call them back.
The AI employee runs the whole intake conversation. It collects demographics and insurance, asks the reason for the visit, captures the referring provider, and texts or emails your intake and consent forms so they're done before the patient arrives. It confirms identity before discussing any details and keeps sensitive information off unsecured channels. Your staff walks in to clean, complete intakes instead of a stack of half-finished callbacks.
In a specialty practice a no-show isn't just an empty chair — it's an hour of a provider's time that can't be resold, and at specialty rates that adds up fast. Most no-shows aren't patients blowing you off; they forgot, or something came up and they had no easy way to move the appointment.
Your AI employee sends timed reminders by text and email, confirms each visit, and gives patients a simple way to reschedule instead of just not showing. When someone cancels late, it immediately works your waitlist to backfill the slot before it goes to waste. Steady, automated reminders are the cheapest no-show fix there is, and they run every day without anyone on your team remembering to send them.
Referrals are the lifeblood of a specialty practice, and they leak constantly. A referral comes in, but the patient never calls to book. Someone meant to reach out and got buried. The referring office never hears whether their patient was seen. Every dropped referral is a lost case and a frayed relationship with the doctor who sent it.
The AI employee follows up on every inbound referral on a schedule. It reaches out to the patient to get the consult booked, nudges the ones who went quiet with a friendly second and third touch, and flags the referrals going cold so your team can step in. It books the appointment the moment the patient replies and logs every contact — so the cases you already earned actually make it onto the schedule.
This isn't a generic bot you flip on over a weekend. OpSpot scopes your practice on a short call — how calls come in, what scheduling and practice-management tools you run, where patients and referrals leak — then builds an AI employee tuned to a medical front office. Just as important, it's scoped deliberately: it handles scheduling, intake, reminders, and logistics, and it routes anything clinical — symptoms, results, urgent concerns — straight to your staff. It confirms identity before sharing details, keeps protected information out of unsecured channels, and we sign a BAA where one is needed.
It connects to the phone, SMS, email, scheduling, and practice-management tools you already use, plus EHR and patient-engagement platforms where a secure connection exists and connectors like Zapier for the long tail. Every action leaves a receipt you can see, it won't double-book a column or double-text a patient, and OpSpot monitors and manages the whole thing. We're based in Wilmington, NC, serving practices across the Cape Fear region and nationwide.
Pricing is a flat monthly fee plus a one-time setup, scoped on a short call — not per-call or per-minute, so a heavy week of referrals never blows up your bill. Most practices start with one workflow, usually missed-call capture and new-patient intake because that's where the biggest revenue leaks, then layer on reminders, no-show recovery, and referral follow-up as they watch it work. No long-term lock-in.
Book a free audit call and we'll map exactly where your front office is leaking calls and referrals and which workflow plugs it first. If it's a fit, your AI employee is usually live within one business day; EHR-integrated and multi-provider builds take a bit longer. If it's not right for your practice, we'll tell you straight.
OpSpot builds an AI employee that answers the calls your front desk misses, runs new-patient intake, books and reschedules appointments, sends visit reminders, recovers no-shows, and follows up on referrals. It works through your existing phone, email, and scheduling tools, and leaves a receipt for every interaction so nothing about a patient's request gets lost.
OpSpot designs the AI employee to handle patient contact carefully — it confirms identity before sharing details, keeps protected information out of unsecured channels, and is scoped to logistics like scheduling, reminders, and intake rather than clinical advice. We sign a BAA where one is needed and confirm your privacy and consent requirements on the scope call before anything goes live.
Yes — this is one of the highest-value workflows for a practice. The AI employee greets the new caller, captures demographics, insurance, reason for visit, and referring provider, sends your intake forms by text or email, and books the first appointment into the right provider's schedule. Your front desk walks in to a clean intake instead of a stack of callbacks.
Yes. The AI employee sends timed reminders by text and email, confirms each appointment, and offers a one-tap reschedule when a patient can't make it. When someone cancels late, it works your waitlist to backfill the slot. No-shows are pure lost revenue for a specialty practice, and steady automated reminders are the cheapest way to claw that time back.
Yes, and referral leakage is where specialty practices quietly lose growth. The AI employee follows up on every inbound referral, reaches out to schedule the consult, nudges the patient who never called to book, and flags the referrals that go cold so your team can close the loop. It books the appointment the moment the patient responds.
No. The AI employee is built for the front office, not the exam room. It handles scheduling, intake, reminders, referral follow-up, and routine questions like hours, location, and what to bring. Anything clinical — symptoms, results, medication questions, or urgent concerns — it routes to your staff or your triage line based on rules you set.
OpSpot connects the AI employee to the tools your practice already runs — phone and SMS, email, your scheduling and practice-management software, and EHR or patient-engagement platforms where a secure connection exists, plus connectors like Zapier for the rest. On the scope call we confirm your exact stack and tell you up front if a system can't be connected.
For most practices, your AI employee is usually live within one business day; multi-provider or EHR-integrated builds take a little longer. OpSpot starts with a short scope call to find where calls and referrals leak, deploys the AI employee on its own dedicated machine, connects your phone and scheduling tools, and turns on the first workflow — usually missed-call capture and intake.
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