An Aivell works your clinic's front desk load — books appointments by email or chat, confirms tomorrow's visits, reschedules cancellations into free slots, collects intake forms before the visit. Every message and every patient name is processed on a box inside the clinic, so health data never leaves the practice.
Booking, moving and cancelling appointments swallows the front desk's day — while the patient standing at the counter waits for the receptionist to finish someone else's reschedule.
An empty slot is paid staff, a prepared room and a doctor waiting for nobody — and the patient who'd have taken it gladly was never offered it in time.
History forms, consent signatures, insurance details — filled on a clipboard five minutes before the visit, half-legible, retyped by staff afterwards.
Follow-ups, annual check-ups, vaccination boosters — the patients who should be called back this month are a list nobody has time to work through.
Patient names, conditions and appointments are special-category data. Routing them through a cloud service is a data-protection assessment most clinics would rather not own.
A clinic’s clinical work is scheduled to the minute; the work around it is not. The phone rings through lunch. Tomorrow’s list needs confirming. Two cancellations just opened slots that will stay empty because nobody has time to work the waiting list. The new patient’s intake form will be filled on a clipboard at 8:55 and retyped at 9:20. And the recall list — the follow-ups that keep patients healthy and the diary full — waits for a quiet day that never comes.
None of this is medicine. All of it lands on the same two people at the counter, in between greeting patients who deserve their attention.
For a clinic, “just use a chatbot” was never a real answer — patient data is special-category under GDPR, and shipping names, conditions and visit histories to a cloud service is a liability, not a shortcut. An Aivell is the other way around: a box inside the practice, models running onboard, every patient message read and answered without a single byte leaving the building.
The chores read like front-desk briefings, because that is what they are. Confirm tomorrow’s visits at three. Send the intake form to first-timers and get it back before arrival. When someone cancels, offer the slot to the waiting list. Never answer a clinical question — forward it to the nurse. The Aivell follows the briefing exactly, around the clock, in the patient’s own language, and pauses for a human whenever the chore says to.
Guardrails make the boundaries physical: it books and moves appointments in the calendar but cannot delete history; it emails patients about logistics but anything unusual needs a yes from staff first. The front desk keeps the judgment and the patients. The Aivell keeps the phone from winning.
every day at 15:00, list tomorrow's appointments from the calendar
email each patient a confirmation with time, practitioner and what to bring
first visit? attach the intake form and ask for it back before arrival
if a patient cancels, offer the freed slot to the first match on the waiting list
reschedule requests get the three nearest free slots with the same practitioner
anything clinical in a reply — symptoms, medication, "is this serious" — forward to nurse Anna, never answer
patients without email go on the call list printed for the front desk at 17:00
Customers email for an appointment; a private AI colleague checks the calendar, proposes slots, books and confirms — nothing leaves your office.
Reminder emails before every appointment, reschedules handled by reply — run by an AI colleague on a box in your office, not in someone's cloud.
Visitors pick a real free slot in your site chat and get a real calendar invite — booked by an AI colleague on your box, not a scheduling cloud.
Evening and weekend inquiries answered on the spot by an on-premise AI colleague. Mornings start with qualified, pre-handled requests — not a backlog.
Recurring customer questions answered by email within minutes, from your own documents — on a box behind your firewall. The rest goes to a human.
Incoming paperwork classified, renamed and filed to the correct folder by an AI colleague that reads each page inside your office — no document uploaded anywhere.
Inside the clinic, full stop. The box sits on your network and inference runs onboard — a patient's name, appointment or intake form is never uploaded anywhere. Under GDPR, health data is special-category; keeping processing on-premise is the cleanest position a data-protection assessment can start from.
It must not, and you make that a rule in the chore — anything clinical is forwarded to a nurse or doctor, unanswered. The Aivell handles logistics only, booking, reminders, forms, directions, and the audit trail shows every message it ever sent.
If your system has a database or import files, the Aivell reads and writes it directly. If it is browser-only, the Browser Agent operates the same screens your staff use — restricted by guardrails to the scheduling pages, nothing else.
Confirmations the afternoon before, an easy reply path to cancel or move, and freed slots re-offered to the waiting list within minutes. Missed appointments cost around [$200 per lost hour](https://www.oncehub.com/blog/avoiding-meeting-no-shows-oncehub-reminders); systematic reminders are the one fix that reliably claws it back.
No. The Aivell reads and replies in the patient's language — English, Spanish, French and Italian today — while your chore and your calendar stay in yours.
An Aivell is an on-premise AI colleague: a small box that plugs into your network, runs its own AI onboard and takes the repetitive work off your desk. Prompts, documents, data — nothing ever leaves your office. Unplug the internet: it keeps working.
You describe each task as a chore, in plain language. Your Aivell turns it into a solid, guarded procedure and runs it in the background — with guardrails on every tool, a complete audit trail, and approvals in your hand when you want them. One-time setup, fixed monthly fee. No tokens, no overages.
onboard inference · air-gapped · fixed monthly fee