AI Documentation

The Note Is Written Before the Patient Leaves.

Ambient AI that listens during the consultation, drafts the clinical note in your format, and drops it into your EHR for review — so your providers stop taking charting home.

HIPAA-secure by design · Drafts into your EHR, in your note format · Live in ~4 weeks

Charting is the tax your best providers pay every night.

What it does during and after the visit.

During

Listens without anyone driving it

Ambient capture in the room or on a telehealth call. No dictation voice, no commands, no template to tab through — the provider just has the consultation.

Minutes after

Drafts the note in your format

Structured to the note format your practice already uses, with the sections your billing and clinical review actually need — not a generic transcript.

Into the chart

Lands in your EHR for review

The draft arrives where the provider already works. They read, correct and sign — they don't retype, and they don't copy-paste from a separate app.

Always

A human signs every note

It drafts; a clinician reviews and signs. That's the design, not a limitation we're apologising for.

Why a build rather than a $99/month subscription.

It writes your note format

Off-the-shelf scribes impose a template. If your practice has a house format your reviewers and billers depend on, we build to that instead.

Real EHR integration

The gap between 'copy this into your chart' and 'the draft is already in the chart' is the entire adoption problem. We build the integration.

Specialty vocabulary

Aesthetic and procedural language — products, units, injection sites, devices — is where generic scribes get sloppy and providers stop trusting the output.

You own the workflow

Code, prompts and configuration are yours. You're not renting your documentation pipeline from a vendor that can reprice it next year.

How we deploy it.

Week 1

Your notes and your EHR

We take real (de-identified) examples of the notes you want, map your EHR's write path, and agree what the AI drafts and what it must never assert.

Week 2–3

Build and calibration

We tune against your specialty's vocabulary and your note structure, then run it in parallel with your current process so providers can compare before trusting it.

Week 4

Live with one provider first

One provider, supervised, until the drafts need almost no editing. Then it rolls out to the rest of the team.

What documentation time is costing you.

~2 hrs

daily admin load reported by many clinicians

Minutes

from end of visit to a draft note

1 signature

a clinician still reviews every note

Give a provider back an hour a day and you've either bought clinic capacity or bought back their evening. Both are worth more than the system costs.

Is ambient documentation worth it here?

A good fit

  • Your providers finish notes after hours
  • You have a consistent note format worth automating
  • Your EHR has an API we can write into
  • Late documentation is slowing your billing
  • You want drafts reviewed by a clinician, not auto-filed

Not a fit

  • You want notes filed without clinician review
  • You need it to code and bill autonomously
  • Your visits are too short or too varied to have a note pattern
  • You aren't able to obtain patient consent for in-room recording

Watch it draft a note from a real consultation.

Bring a typical visit and we'll run it live in your note format.

What providers ask first.

Do patients have to consent to being recorded?

Yes, and consent requirements vary by state — some require all parties to agree. We build the consent step into the workflow and help you set it up correctly, but confirm the specifics for your states with your own counsel.

How is the audio handled?

Encrypted in transit and at rest, with a retention window you set — many practices choose to discard audio once the note is signed. Access is minimum-necessary and every access is logged.

What if the note is wrong?

A clinician reviews and signs every note; nothing is filed autonomously. During rollout we run it in parallel with your existing process precisely so providers can see the error rate before relying on it.

Which EHRs do you integrate with?

We've built against the systems clinics and aesthetic practices actually run, and we work in HL7 and FHIR where the EHR supports it. If yours exposes an API, we integrate with it.

How is this different from Freed or Heidi?

Those are good, cheap, general-purpose subscriptions — if a generic note format and manual copy-paste work for you, use one. We build when you need your own note structure, real write-back into your EHR, and specialty vocabulary they don't handle well.

What does it cost?

It's scoped inside an AI Build ($15K–$75K depending on EHR integration complexity). If a subscription scribe would genuinely serve you better, we'll say so on the free call.

Your providers are charting tonight.

They don't have to be.