Let the visit write its own note.
Zorvaine's AI Dictation listens to the patient visit, drafts a structured clinical note automatically, and maps it to ICD/CPT codes — so documentation and billing start from the same record instead of two separate ones.
Notes get written twice — once for the chart, once for the bill.
Doctors document the visit, then someone else has to translate that documentation into billing codes — often well after the visit, from memory or a rushed note. That gap is where detail gets lost, codes get missed, and the chart and the claim quietly drift apart.
Zorvaine's AI Dictation closes that gap at the source — turning the conversation itself into a coded, billable note.
Illustrative example, not real patient data.
Documentation → Coding → Billing.
Describes the visit in their own words during the encounter.
Turns the conversation into a structured clinical note.
Identifies the ICD/CPT codes the documentation supports.
Checks the coding against what was actually billed.
Missed revenue surfaces for a coder to confirm.
Illustrative example, not real patient data.
That's where Zorvaine becomes more than another ambient scribe. It becomes an AI revenue intelligence platform.
- Cuts down on after-the-fact note-writing and coding lag
- Suggests ICD/CPT codes tied to what was actually said in the visit, not typed in after the fact
- Feeds directly into the same review queue as RCM — one workflow, not two
Built to feed straight into RCM.
AI Dictation isn't a separate transcription tool bolted onto your existing workflow — it's designed to hand off directly into Zorvaine's RCM review queue, so the note and the bill start from the same source instead of drifting apart later.
New — onboarding early design partners.
AI Dictation is our newest product, built on the same engine as RCM and AI Receptionist. We're onboarding a small number of clinics to refine note quality and coding accuracy before a wider rollout.
Same visit, one record.
If your team re-types or re-codes notes after every visit, we'd like to show you what this looks like.