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.
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.
What if the agent does not know the answer?+
It says so and hands over: the ticket goes to the human queue with a sourced draft and the full conversation context. A reliable agent is one that knows its limits — that is a design rule, not an option.
Which channels can the agent answer on?+
Email, website chat, WhatsApp, or your existing ticketing tool (Zendesk, Freshdesk, shared inbox…). It works where your clients already write.
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 diagnostic