Three agents. One revenue cycle.
Eligibility before the visit. Documentation during. Claims scrubbed after. Each agent hands off to the next — no gaps, no manual steps.
Insurance verified before the patient arrives.
Front desk staff spend 20 minutes per patient calling payers to verify coverage. Half the time the information is wrong by the time the patient shows up.
The moment an appointment is booked, we send an X12 270 eligibility request to the clearinghouse. The X12 271 response comes back in seconds — copay, deductible status, network tier, prior auth requirements. All of it, automatically.
- 5 of 8 patients verified before 8 AM
- Copay collected at booking, not at checkout
- Prior auth flags surface 48 hours before the visit
Autonomous Receptionist Engine
Live X12 270/271 Eligibility Validation via Clearinghouse
Sarah Johnson
Insurance Eligibility Check
Awaiting eligibility request...
SOAP note done before the session ends.
Providers spend 2 hours charting for every hour of patient care. That's not a productivity problem — it's a system design problem.
Ambient transcription runs during the session. Speaker diarization separates provider from patient. When the session ends, a structured SOAP note is waiting for one-click approval — with ICD-10 codes already suggested.
- Average chart review: 3 minutes
- ICD-10 accuracy: 93%+ on mental health codes
- Zero PHI stored in the transcription pipeline
Awaiting encounter start...
AI-Generated SOAP Note
SOAP note will auto-generate when the encounter ends
Powered by OpenAI GPT-4o-mini
Claims scrubbed against 2.38M payer rules before submission.
The average claim denial costs $118 to appeal and takes 90 days. Most denials are preventable — wrong modifier, bundling conflict, missing auth.
Every claim runs through our NCCI PTP database (2,387,727 edit pairs) before the 837 file is generated. Modifier conflicts are flagged and auto-corrected. The claim that goes out is clean.
- $47,200 recovered in month one for a 5-provider practice
- Denial rate: 20% → under 5%
- Cost to collect: $22 → $4.50
AI Billing Compliance Engine
NCCI Edit Validation + Payer-Specific LCD Policy Enforcement
Claims Queue (3)
Michael R.
Aetna · $350.00
Sarah J.
BCBS · $125.00
David W.
UHC · $850.00
Awaiting pipeline execution...
See it with your practice's data
The demo above uses Dr. Sarah Chen's NYC mental health practice. Book a call and we'll run it with yours.