AI support desk for clinics and medical practices
The vast majority of calls to the front desk are not medical: opening hours, directions, documents to bring, instructions before an exam. The agent answers those on its own from your approved instructions — and never answers a medical question, which it refers to the care team.
In your day-to-day
- 01
Immediate answers to practical questions: hours, directions, parking, documents to bring, insurance cards.
- 02
Sending exam-preparation instructions exactly as approved by the practitioners, with no variation.
- 03
Referral of any medically flavoured question to the care team, with a systematic reminder to call the emergency services if urgent.
A typical scenario
Four sites and a switchboard saturated from 9 AM: a medical-imaging centre has its secretaries answering the same preparation questions while patients hang up unanswered.
- 01
At 7:30 PM, a patient asks whether to fast before tomorrow’s CT scan: immediate answer with the approved instructions for that exact examination.
- 02
A request for a duplicate report arrives by email: the agent explains the secure retrieval procedure — it never attaches the medical document itself.
- 03
A message mentions pain after an injection: immediate handover to the team, with the systematic reminder to call emergency services if urgent.
What changes
The switchboard breathes at peak hours, and patients arrive prepared — fewer examinations postponed over a forgotten fast or a missing prescription.
Order of magnitude
Working assumptions
- →200 calls a day across the 4 sites
- →7 in 10 are purely practical: preparation, hours, directions, documents
In the order of 140 requests a day find their answer without the front desk, which keeps the complex cases and the human situations.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
What eats your days
- →
The switchboard saturates with practical questions — opening hours, documents, preparation — while patients hang up without an appointment.
- →
No-shows leave empty slots the waiting list would have filled, and nobody has time to call back.
- →
Rejected claims and unpaid balances pile up because the front desk is already doing two days’ work in one.
How it works
- 1
The agent learns your business
It is fed your real sources: FAQ, documentation, ticket history, business rules. It only answers what it can source — no improvising.
- 2
Autonomous resolution, fenced
Recurring requests — tracking, invoices, procedures — are resolved end to end. Anything outside the fence goes to the human queue with a sourced draft reply already written.
- 3
Supervision and continuous improvement
Every conversation is reviewed by our engineers in the first weeks. The autonomous-resolution rate rises as the agent earns reliability — never the other way round.
Typical results
60%
of tickets resolved with no human involved, observed in production
3 min
first response, 24/7
×3
handling capacity for the same team
Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.
Frequently asked questions
Can the agent give medical advice or assess an emergency?+
Never — it is a design-level prohibition, not a setting. Any clinical question is passed to the care team without interpretation, and the agent systematically reminds patients to call the emergency services in an emergency. It does no diagnosis, no symptom triage, no clinical prioritisation.
How do you handle GDPR on health data?+
The agent’s scope is administrative: it handles the minimum data necessary, with logged access. Wherever health data comes into play, the architecture relies on certified health-data hosting and the setup is documented for your processing register.
Is this the problem eating your team’s time?
Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.
Get my free diagnosticFree resource
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