Revenue Cycle AI Platform

Stop Losing Revenue.
Start Predicting It.

ARIA is an AI-native revenue cycle management platform with 11 autonomous agents, G-ARVIS quality scoring, and ARGUS self-correction. Predicts denials before submission, recovers lost revenue autonomously. Built from 28 years of healthcare RCM production experience.

Launch Interactive Demo Schedule Enterprise Demo
$262B
Annual US Claim Denials
65%
Denials Are Preventable
$25
Avg Cost per Denial Rework
3.2%
Net Revenue Lost to Denials

The $262 Billion Problem

Healthcare organizations lose billions annually to preventable denials, undercoded claims, and inefficient A/R workflows. Legacy RCM systems react after revenue is lost. ARIA prevents it.

86%
of denials are potentially avoidable, yet most organizations only address them after the fact — burning staff time on rework instead of prevention
$4.9M
average annual revenue leakage per mid-size health system from undercoded claims, missed charges, and contract underpayments that go undetected
45 days
average time to resolve a denied claim. Every day in the queue costs money — in staff time, interest, and the probability the claim is never recovered
200+
payer-specific rules, modifiers, and bundling exceptions that human coders must track. AI agents handle this at scale with zero fatigue

11 Autonomous AI Agents

11 specialized agents working together across the entire revenue cycle — orchestrated by a master agent, quality-scored by G-ARVIS, and self-corrected by ARGUS.

🎯

Master Orchestrator Agent

Routes claims across the agent mesh. Manages state, parallelism, and quality gates. Coordinates all 10 downstream agents.

11
Agents orchestrated
🛡️

Denial Predictor Agent

ML models score every claim's denial probability before submission. Catches missing authorizations, coding mismatches, and payer-specific rules in real time.

94.7%
Denial prediction accuracy
🔬

Coding Validator Agent

NLP-powered validation of CPT/ICD-10 code assignments against clinical documentation. Catches upcoding risks and documentation gaps before submission.

99.2%
Coding accuracy rate
🔑

Auth Checker Agent

Real-time prior authorization verification against payer portals. Prevents the #1 denial reason — missing auth — before claim submission.

38%
Denial category eliminated
💰

Revenue Recovery Agent

Autonomous identification of undercoded claims, missed charges, and contract underpayments. Surfaces revenue you didn't know you were losing.

$2.1M
Avg annual recovery per facility
📊

A/R Optimizer Agent

Prioritizes collection workflows by recovery probability, payer behavior patterns, and aging. AI-driven triage replaces manual worklists.

-18 days
Reduction in days in A/R
🔗

Payer Intelligence Agent

Tracks payer-specific rules, reimbursement patterns, and fee schedule variances. Detects underpayments and denial pattern shifts automatically.

340+
Payer rules tracked
📋

Contract Auditor Agent

Continuously audits payer payments against contracted rates. Identifies underpayments and auto-generates appeal documentation.

$847K
Avg underpayments detected
🛡️

G-ARVIS Quality Engine

Proprietary 6-dimension AI observability framework scoring every agent output: Groundedness, Accuracy, Reliability, Variance, Inference Cost, Safety.

93.9%
Composite G-ARVIS score
🔄

ARGUS Correction Engine

Autonomous self-healing system. Detects quality failures from G-ARVIS, rewrites agent outputs, max 3 iterations. Zero-hallucination guarantee.

98.2%
Error recovery rate

Workflow Agent

Routes claims, assigns tasks, and escalates exceptions. Replaces manual worklists with AI-driven triage and auto-resolution.

72%
Auto-resolution rate

G-ARVIS AI Observability Engine

Proprietary 6-dimension quality framework scoring every agent output in real time. No open-source equivalent exists. Patent pending.

Groundedness
93.4%
Output traceability to source data
Accuracy
96.1%
Clinical-grade correctness
Reliability
91.2%
Consistent output across identical inputs
Variance
8.9%
Output drift detection — lower is better
Inference Cost
$0.002
Token cost per claim tracked per agent
Safety
100%
Zero-harm clinical outputs

ARGUS Autonomous Correction Engine

Self-healing system that detects G-ARVIS quality failures and autonomously rewrites agent outputs. Max 3 iterations. 98.2% error recovery rate. Zero-hallucination guarantee on every clinical output.

pip install argus-ai Open-Core PyPI github.com/anilatambharii/argus-ai

Technical Architecture

Production-grade, cloud-native architecture built for healthcare scale and compliance.

Ingestion

HL7 / FHIR / X12

Real-time claim and EHR data ingestion via standard healthcare protocols

AI Core

Multi-Agent Engine

Orchestrated AI agents for denial prediction, coding validation, and recovery

Analytics

Revenue Intelligence

Real-time dashboards, trend analysis, and predictive revenue forecasting

Integration

EHR / PM / Clearinghouse

Bidirectional integration with Epic, Cerner, Athena, and major clearinghouses

Integration Ready

Connects to your existing healthcare IT infrastructure on day one.

🏥

EHR Systems

Bidirectional integration with major EHR platforms for clinical data, encounter records, and documentation.

EpicCernerAthenaMeditech
📋

Practice Management

Real-time sync with PM systems for scheduling, patient demographics, and charge capture.

NextGeneClinicalWorksGreenway
🔄

Clearinghouses

Direct claim submission and remittance processing through major clearinghouse partners.

AvailityChange HealthcareWaystar
📊

Analytics & BI

Export revenue intelligence data to your existing analytics and business intelligence platforms.

SnowflakeDatabricksPower BITableau

Built for Scale & Acquisition

ARIA is designed from day one to be integration-ready — whether you're scaling internally or positioning for strategic acquisition.

Multi-Tenant Architecture

Isolated data environments per client with shared compute. Supports enterprise rollout across health systems, IDNs, and RCM service providers.

HIPAA / SOC 2 Ready

End-to-end encryption, audit logging, role-based access, and BAA-ready infrastructure. Compliance is built in, not bolted on.

API-First Design

RESTful APIs with comprehensive documentation. Enables rapid integration into existing RCM workflows and third-party platforms.

Proven Unit Economics

Clear ROI per client with measurable outcomes: denial rate reduction, A/R days improvement, and net revenue lift. Metrics acquirers care about.

Defensible AI Moat — G-ARVIS + ARGUS

Proprietary G-ARVIS 6-dimension observability engine and ARGUS self-correction system. Patent-pending. No open-source equivalent exists. Performance compounds with scale.

$50B+ TAM

Revenue cycle management is a massive, growing market. ARIA addresses the fastest-growing segment: AI-powered denial prevention and recovery.

See ARIA in Action

Walk through a live simulation of 11 autonomous agents with G-ARVIS quality scoring and ARGUS self-correction. No signup required.

Launch Interactive Demo

Enterprise & Acquisition Inquiries

ARIA is available for enterprise deployment, strategic partnership, and acquisition conversations.

Schedule Enterprise Demo Connect on LinkedIn
Partnership & Acquisition
Acquisition / Partnership Inquiry →
HIPAA Compliant
SOC 2 Ready
AWS / Azure / GCP
Multi-Tenant
Terraform / K8s
FHIR R4
11 Autonomous Agents