Your group runs several locations and a dozen providers, and to the patient they are all one phone number.
Book a CallSomeone wants the dermatologist at the north office, someone else is trying to reach the therapist they saw last month, a caller is asking whether the cardiology side takes their new plan, and a primary-care referral is sitting unworked in a queue. We build an AI support agent that handles routing, scheduling, and routine questions across every location and specialty in your group, books patients with the right provider at the right site, captures intake and referral details in a structured way, and hands anything clinical or urgent to your staff.
It signs a BAA, keeps protected health information inside your systems, and never gives clinical advice.
A multi-location practice group hides a hard operations problem behind one published number. Callers do not know which office, which provider, or which specialty they need, so a central front office or shared call center spends its day acting as a switchboard: transferring people between sites, explaining which plans a given specialty accepts, taking messages for providers who are with patients, and rekeying the same referral into whatever system that office happens to run.
The volume is mostly routine, moving an appointment, confirming a location and its parking, checking network status, requesting a new-patient packet, or asking where an inbound referral stands, and it repeats at every site independently. Patients who get bounced between departments or dropped into voicemail do not wait; they abandon the booking or take the referral elsewhere, and revenue leaks from a group that looks fully staffed.
An AI support agent gives every location a consistent front door. It answers the common questions on the spot, routes patients to the correct provider and site, books against the right schedule, and passes anything clinical, urgent, or sensitive to a person with the context attached, so your teams work patients instead of a phone tree.
Scale makes the phone worse, not better. Every new location and specialty a group adds multiplies the ways a call can be misrouted, and hiring a bigger central team rarely closes the gap.
Referral leakage is the quiet killer: an inbound referral that is not worked within a day or two goes back to the referring office, and the specialist visit, along with the downstream imaging and procedures, walks out the door. Scheduling is uneven, so one office runs a three-week wait while a provider across town has open slots nobody offered.
Insurance questions get answered inconsistently because plan acceptance differs by specialty and even by provider, and a wrong answer means a denied claim later. Weekend and evening gaps compound all of it, since an urgent-care caller or an anxious patient the night before a procedure will not hold until Monday.
Left unaddressed, abandoned calls rise across every site, referrals slip away, schedules run soft in some offices and jammed in others, and a central team burns out transferring calls it should never have had to touch.
A production support system built for how a multi-specialty, multi-location group actually operates, from routing and cross-provider scheduling through referral and intake capture,
Insurance questions answered per site and specialty, and a clean handoff to staff whenever something is clinical or urgent.
The agent figures out which location, provider, and specialty a patient actually needs from what they say, then routes or books accordingly,
So a patient reaches the right dermatologist, therapist, or urgent-care site without being transferred three times or lost in the wrong inbox.
It books new and returning visits against each provider’s live schedule at the correct office, honoring visit type, slot length,
And whether a patient is established, and it can offer an open slot at a nearby site or another provider so one location’s backlog does not turn patients away.
It captures inbound referrals in a structured, complete form, confirms the referring provider, reason, insurance, and urgency,
And drops each into the right specialty’s work queue, so referrals get worked the same day instead of aging in a fax pile and leaking back to the sender.
It sends and tracks the correct new-patient, consent, and history forms for each specialty, from a dental medical history to a behavioral-health intake,
Confirms insurance and demographics up front, and routes completed packets to the right office so visits start on time.
When a patient describes symptoms, sounds urgent, or asks anything clinical, the agent stops, gives no clinical advice, and follows the protocol each site defines,
Routing to the on-call provider, a nurse line, or emergency guidance with a clear summary so a clinician picks up informed.
We sign a BAA, verify a patient before sharing anything specific, apply minimum-necessary access per location and role,
Keep protected health information out of logs and analytics, encrypt in transit and at rest, and log every action so your compliance lead has one audit trail across the group.
When every location shares one consistent front door, the group stops losing patients in the gaps between offices. Patients reach the right provider and site on the first try, so the central team stops acting as a switchboard and abandoned requests fall across every location.
Referrals get worked the day they arrive, which keeps specialist visits and their downstream care inside the group instead of leaking back to the sender. Scheduling evens out because the agent can steer a patient to an open slot at a nearby office rather than quoting a three-week wait, and insurance answers stay consistent per specialty so fewer claims get denied later.
Intake arrives complete and in the right office, clinical questions reach a clinician with context, and your operations lead finally sees one clean view of request volume, booking rate, referral turnaround, and no-shows across all sites instead of a different report from each.
The core problem in a group is that the patient does not think in your org chart. They call one number wanting the knee specialist, the counselor they saw in March, or the closest urgent-care site with a short wait, and it falls to your central team to translate that into the right office, provider, and schedule. The agent does that translation from the patient’s own words. It identifies the specialty and reason, matches it to the providers who handle it, checks which locations offer that service, and either books directly or routes the request to the right place, so nobody is transferred three times or parked in the wrong inbox.
Scheduling then runs against each provider’s live calendar at the correct site, respecting visit type, slot length, and whether the patient is new or established. Because the agent can see availability across the group, it can smooth demand a busy office cannot: if the downtown location is three weeks out, it can offer an earlier slot with the same specialty at a nearby site or with another qualified provider, and let the patient choose. Every booking, reschedule, and cancellation writes back to that office’s system, so each location’s schedule stays current and no one double-books a slot the agent just filled.
Across a group the routine questions repeat at every site, and the answers are not uniform, which is exactly why they eat so much staff time. Which plans does the cardiology side accept, is a given provider in network, what does the therapy office need from a new patient, where do I park at the west location, and where does my referral stand are all quick to answer if someone knows that specific office, and slow and error-prone if a central agent has to look it up or guess. Wrong answers on network status are worse than no answer, because they surface later as a denied claim and an angry patient.
The agent answers this first layer per location and per specialty, drawing every answer from your own policies rather than a generic script. It knows plan acceptance can differ by specialty and provider, so it gives the correct network answer for the office the patient is actually asking about. It handles hours, directions, and parking by site, new-patient requirements by specialty, and referral-status lookups so a referring office or a patient can hear where things stand without a callback. It does this across web forms, email, and text, in the evening and weekend gaps when no site has someone at the desk.
For a specialty group, inbound referrals are the pipeline, and they leak when they land as a fax or an unread message at a busy office and sit. If a referral is not worked within a day or two the referring practice often sends the patient elsewhere, and the specialist visit plus its downstream imaging and procedures goes with them. The agent captures each inbound referral in a structured, complete format the moment it arrives, confirming the referring provider, the reason and any urgency, the patient’s insurance, and the specialty needed, and it flags an urgent referral so it jumps the line instead of aging in a pile.
Once complete, the referral drops into the correct specialty’s work queue at the right office, ready for a coordinator to schedule, and the agent can reach out to the patient to book the visit. Intake works the same way: the agent sends the right forms for that specialty, a dental medical history, a behavioral-health intake, an orthopedic questionnaire, confirms demographics and insurance up front, and tracks completion so packets are done before the patient arrives. Coordinators stop chasing paperwork and rekeying faxes, and the group keeps the care it already earned the right to.
What the agent refuses to do matters as much as what it handles. It is an administrative agent, and we never build it to act as a clinician. It does not diagnose, interpret symptoms, tell a patient whether something is serious, recommend treatment, or change a medication, because those are clinical judgments that belong to licensed staff at the relevant practice. The agent is built to detect the moment a message turns clinical or urgent, by intent and by sentiment, and to stop resolving it the moment it does.
From there it follows the protocol each site defines, and in a group those protocols differ, so the routing is configured per location and specialty. A routine clinical question becomes a provider task or a nurse-line message at the right office. An after-hours symptom message for the urgent-care line goes to that line’s on-call service with a summary; the same message for a specialty office follows that office’s own after-hours path. Anything that sounds like an emergency gets immediate guidance to call 911 or go to the nearest emergency department. In every case the handoff carries the patient’s stated concern, the location and provider involved, and a short summary, so a clinician picks up informed and the patient never has to start over.
Groups rarely run one platform. A practice built by acquisition can have athenahealth at one office, NextGen at another, ModMed on the dermatology side, Dentrix at the dental locations, and SimplePractice in behavioral health, and the agent has to work with that reality instead of forcing a migration. We build scoped integrations to each system a group runs, reading real availability and writing appointments, referrals, tasks, and notes back to the correct one, so every office keeps its own system of record and the agent becomes the consistent layer across the top rather than one more silo.
Handling patient contact means the agent sits inside your HIPAA program, so we build to it from the start and sign a Business Associate Agreement before any protected health information is involved. Access follows the minimum-necessary principle and is scoped per location and role, the agent verifies a patient’s identity the way your group defines before discussing anything specific, PHI stays out of chat logs and analytics, data is encrypted in transit and at rest, and every action is written to one audit trail your compliance lead can review across all sites. We map the agent to each office’s scheduling templates, provider panels, and visit types during the build, respect the API limits and permissions each platform enforces, and keep the whole flow inside the boundaries your group and its IT or security partners set. We describe exactly how PHI is handled so your compliance team can evaluate it, and we do not act as your privacy officer or counsel or promise a compliance outcome.
Engineered With AI is run by engineers who ship production systems for real patient volume across multiple sites, not scripted demos. We understand how a group actually operates, why a call for the therapy office should never land on the dermatology schedule, how a referral has to be captured so the specialty queue can work it same day, how a scheduling write-back into athenahealth or NextGen should respect each provider’s panel and each site’s rules, and where the line sits between administrative help and clinical advice.
We build to a signed BAA and design the agent to hold up when Monday morning hits every location at once.
The agent knows that plan acceptance, visit types, forms, and protocols differ by specialty and even by provider, so it answers and books per site correctly rather than treating a dental group, a therapy practice, and an urgent-care line as one generic queue.
It connects to the platforms your offices already run, athenahealth, NextGen, Tebra, ModMed, Greenway, Dentrix, or SimplePractice among them, reading real availability and writing appointments, referrals, and tasks back so each site keeps its own system of record.
We sign a Business Associate Agreement, apply minimum-necessary access scoped per location and role, verify identity before sharing anything specific, keep PHI out of logs, encrypt everywhere, and give your compliance lead one audit trail across every site.
The agent routes, schedules, and intakes. It does not diagnose, interpret symptoms, give clinical advice, or change a medication, and it sends anything clinical or urgent straight to the on-call protocol or clinical staff at the correct location.
They automated the process work that was quietly eating our week. It runs now without anyone thinking about it, which is the only real test.
Our marketing operations are automated end to end. We brief the outcome and the workflow handles the rest.
They built the automation around how we actually work rather than making us change to fit a tool.
Book a call and we will map how calls, referrals, and bookings move through your group today, which routing and scheduling tasks eat the most central-team time, and the AI support agent we would build to handle them across your locations while your staff cares for patients.
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