RealtimeData
Healthcare and clinics

AI for clinics and healthcare practices

Healthcare automation built for a regulated setting: patient scheduling, intake, reminders and billing questions handled in the patient's language, every answer grounded in your own records, and nothing leaving your perimeter.

ai for clinicshealthcare automationpatient scheduling automationai for doctorsclinic automation

Why most of it never goes live

A clinic loses hours to the phone, the inbox and the forms, and loses patients to the hold music. AI for doctors and clinics has to do that work without ever inventing a medical answer, without leaking a record, and while showing a regulator exactly what it did.

The fix is the same five phase method behind every one of the twenty-seven systems on the work page: someone owns the outcome, the data is found, the definitions are agreed, the real process leaves a record, and only then does anything ship. The free AI readiness diagnostic tells you which phase you are in.

What we build for this

Clinic front desk

The clinic front desk handles patient intake: booking, messaging in the patient's language, reminders and billing questions. Built once and configured per clinic, with each node answering a specific complaint quoted from real patient reviews.

The care journey as one system

The virtual care platform models the journey as an explicit stepper from pre visit through to follow up, so every surface knows where the person actually is in their care.

Administrative, never clinical

Agents book, remind, explain a bill and file a form. They do not diagnose. Any clinical question goes to a clinician with the patient's message attached.

Records stay in the building

Models run on hardware we own or on yours. The evidence trail of every action is kept inside your perimeter, which is what the regulator will ask to see.

How it stays trustworthy

Grounded, trustworthy AI is not a slogan here. It is five rules every agent we ship has to pass.

Cites its sourcesEvery answer an agent gives points at the document, record or rule it came from. If it cannot cite it, it does not say it.
Refuses to inventWhen the data is missing or the question is outside what it knows, the agent says so and stops, instead of producing a confident guess.
Stops and asks a personAnything uncertain, unusual or expensive goes to a named person with the evidence attached. The agent never acts on a hunch.
Leaves an evidence trailEvery step records the source, the definition used, the confidence, who approved it and the outcome, so a reviewer or an auditor can see why it acted.
Runs inside your perimeterModels and data run on hardware we own or on yours. Client data does not have to leave the building to be worked on.

The services behind it

From the seven AI consultancy services offered from Barcelona and Alanya, these are the ones this work draws on.

Questions people ask

Does the AI give medical advice?

No. It handles the administrative work around care. Anything clinical is routed to a clinician with the context attached.

Which languages does it handle?

It messages patients in their own language. The clinic front desk was built for multilingual patient populations.

Where does patient data go?

Nowhere. Models and data run inside your perimeter, and the evidence trail is stored with you. Data governance is part of the build, under GDPR and the health regimes that apply.

Can it work with our practice management system?

It works beside it through its API or import. The practice system stays the record; the agent does the phone, the inbox and the forms.