From Audio to Approved Document in 7 Steps
Audryl pairs AI speed with human accuracy. The AI generates a near-complete draft in seconds; your team reviews, refines, and approves. Every step is transparent and auditable.
Audio Capture
Providers dictate or capture ambient audio. Files arrive through a secure pipeline and are encrypted at rest on hardened cloud storage.
Speech-to-Text
A clinical-grade speech engine converts audio to text with high raw accuracy, handling medical vocabulary, dictation commands, and speaker separation natively.
AI Formatting
The AI engine structures the raw transcript into a clinical document — applying provider templates, client specifications, style rules, and medico-legal requirements.
Post-Processor
A deterministic rule engine applies corrections, abbreviation expansion, and client-specific formatting. Consistent, predictable, and auditable.
Editor Review
Your editor reviews the AI draft, makes corrections, fills any blanks, and confirms accuracy. The AI does the heavy lifting; your team ensures it's right.
QA Review
QA audits the completed document across 13 error categories. Accuracy scoring, error tracking, and rebuttal workflows keep quality standards consistent.
Delivery
The approved document is delivered to the client through their preferred channel — EHR integration, HL7/FHIR, secure portal, or file delivery.
The Self-Improving Learning Loop
Every correction makes the system smarter. Audryl learns from each interaction, so your team does less work over time, not more.
Your Editor Makes a Correction
An editor reviews the AI draft and makes any required edits — terminology, formatting, provider-specific preferences.
Feedback Feeds the Engine
Every correction is captured and fed back into the pipeline, building a provider-specific knowledge base over time.
Drafts Get Better Automatically
The next draft for that provider is more accurate, needs fewer corrections, and moves closer to ready-to-deliver with every cycle.
The Compounding Result
New providers start with strong baseline accuracy and improve rapidly. Established providers see near-ready first drafts that need minimal editing. Your team spends less time correcting and more time producing — pushing throughput toward 2× without adding headcount.