Healthcare doesn't reward a clever demo; it rewards systems that stay accurate, protect patient data, and keep a person on every decision that matters. We build that kind, wired into the electronic health record and the scheduling and billing systems you already run, to take the administrative load off your clinicians rather than make the calls for them.
A model that is confidently wrong about a patient, a record or a claim doesn't just waste time; it creates clinical risk, a privacy breach or a denied treatment, on your busiest day.
So we build the opposite. Outputs are grounded in your own data, wired into the systems you already run (your electronic health record, scheduling and billing), and every clinical or patient-facing step is reviewed and signed by a person before it counts. The AI does the transcribing, the drafting and the sorting; your clinicians keep the judgement.
And because healthcare data is sensitive and regulated, privacy is designed in, not bolted on: access scoped by role, protected health information kept to who should see it, and nothing handed to a third party to train on. That is the difference between an AI that demos well and one that a compliance officer will actually let you run.
Real AI solutions for your organisation, built into the tools you already run.
An ambient scribe transcribes the visit and drafts a structured note (complaint, findings, assessment, plan) straight into the record, capturing the referrals, prescriptions and follow-ups. The clinician reviews and signs, so the visit goes back to the patient instead of the keyboard and the after-hours note-writing stops.
A conversational assistant on your site and messaging channels answers the routine questions, books, reschedules and cancels against your calendar, and sends reminders and post-visit follow-ups. It cuts the no-shows and the phone queue while the front desk handles the cases that need a person.
Each prior-authorization request is built to the specific payer's rules with the documentation attached, likely denials are flagged and fixed before submission, and rejections get a reasoned draft appeal for a revenue manager to send, so treatments move sooner and earned revenue stops being written off.
Protected health information de-identified for research and analytics, models trained across sites without moving the underlying records, and retrieval scoped to each user's permissions. It lets you use your data and stay inside your data-sovereignty and privacy obligations.
An automated post-visit feedback loop invites happy patients to review in public and routes an unhappy one straight to a manager to call before it becomes a one-star review, protecting the online rating that increasingly decides where new patients go.
Start with a short assessment. We map where AI pays off first in your organisation, before you commit. See the assessment →
Proof beats promises. Here's one running for real, right now.
Doctors were tied to the keyboard during visits and finishing notes at home after hours. We put in an ambient scribe that drafts the structured note into the record during the visit and captures the follow-ups, with the doctor reviewing and signing before anything is saved.
Documentation time per doctor fell sharply, the after-hours note-writing largely disappeared, and clinicians went back to facing the patient. Read the full case →
Into systems scoped to your organisation, with access controlled by role and protected health information kept to whoever should see it. We design around your data-handling and privacy requirements rather than shipping records to a third party by default, we don't hand your patient data to anyone to train on, and we're explicit up front about what each workflow touches.
That's the point. We integrate with the electronic health record and the practice-management, scheduling and billing systems you already run, so the AI reads from and writes to your real stack with a clinician's sign-off, rather than living in a separate tool your staff have to visit.
Yes. The AI drafts, transcribes and sorts; a clinician or the responsible staff member reviews and signs before anything enters the record or reaches a patient. It's built to take the administrative load off your people, not to make clinical decisions for them.
With one high-volume, measurable workflow, usually clinical documentation or prior authorization, because they're repetitive, costly and self-contained. We ship that into production, prove it holds up on your real data, then extend. No twelve-month platform programme before you see anything work.
Reef TRH