The End-to-End Solution

The Revenue Engine

The healthcare revenue cycle is broken into 4 massive leaks. Discover how our autonomous ecosystem plugs every single hole.

Leak 1: Pre-Visit Rejections

The Receptionist Agent

Front desk staff waste 20 minutes per patient verifying coverage. Our agent negotiates directly with clearinghouses via encrypted X12 EDI the second an appointment is booked.

Live Component

Autonomous Receptionist Engine

Live X12 270/271 Eligibility Validation via Clearinghouse

Availity EDIFHIR R4
SJ

Sarah Johnson

Scheduled: Today @ 2:30 PM (Follow-up)

Check-In Required

Patient has arrived. System requires insurance eligibility validation before rendering services.

zeta-engine@receptionist: ~/x12/stream

Waiting for workflow trigger...

Executive Takeaway

By automating the 270/271 EDI exchange, we eliminate the 60% of initial claim denials caused by inactive coverage or missed prior-authorizations before the patient even walks through the door.

Leak 2: Under-Coding & Burnout

The Encounter Agent

Physicians spend 2 hours daily on charting. They downcode to save time. Our agent generates clinical SOAP notes and maps precise ICD-10/CPT codes ambiently while the doctor talks.

Live Component

Autonomous Encounter Engine

Live Telehealth Transcription & One-Tap SOAP Generation

AssemblyAICohere Command R+

Patient Waiting in Lobby

Sarah Johnson • 2:30 PM Appt

Live Transcript

Auto-Generated Narrative

AWAITING_ENCOUNTER

The Analyzer Agent builds the structured note automatically as the visit progresses.

Executive Takeaway

Complete, accurate, zero-click documentation instantly recovers the $50k to $70k lost annually per provider due to undocumented severity and administrative exhaustion.

Leaks 3 & 4: Erroneous Claims & Bad Debt

The Billing Agent

Denials stack up in a 45-day A/R void. Our agent intercepts claims before submission, cross-referencing millions of payer rules to attach missing modifiers automatically.

Live Component

Autonomous Billing Engine

Predictive Denial Scoring & Automated 837 Claim Scrubbing

Queue Value$1,325.00
Pass Rate--
Risk Prevented--

Outbound 837 Batch

3 Claims
CLM-9011Aetna

Michael R.

$350.00
99214M54.50
CLM-9012BCBS

Sarah J.

$125.00
99213R07.9
CLM-9013UHC

David W.

$850.00
99215G2211M54.32
zeta-engine@billing: ~/rules/lcd-stream

Waiting for batch...
Press Run AI Claim Scrubber

ROI Calculator

This single intervention on CLM-9013 recovered $850.00 that would have otherwise taken 45 days in A/R and 3 hours of manual staff rework.

Executive Takeaway

Predictive claim scrubbing yields a 99%+ first-pass clean claim rate. Cash flow accelerates from 45 days to 14 days, effectively eliminating the need for a massive denial recovery team.

The Final Layer

The Human Oversight Node

When the engine encounters an edge case it cannot resolve with 99% confidence, it instantly pauses and routes the claim to the Human Empowerment Hub. Real billing experts review the anomaly and train the model never to miss it again.

Ascension Over Automation

1. The Reviewer

Validates AI outputs, fixing data hallucinations and feeding the reinforcement learning loop to tailor the model to your facility.

2. The Pilot

Oversees entire batches of claims autonomously generated by the engine, acting as the final QA sweep before clearinghouse transmission.

3. The Protocol Engineer

Builds custom clinical logic gates and rule-sets to codify the facility's unique billing nuances into the global autonomous engine.