ARIA is an AI-native revenue cycle management platform with 11 autonomous agents, and G-ARVIS quality scoring. Predicts denials before submission, recovers lost revenue autonomously. Built from 28 years of healthcare RCM production experience.
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.
11 specialized agents working together across the entire revenue cycle — orchestrated by a master agent, and quality-scored with G-ARVIS.
Routes claims across the agent mesh. Manages state, parallelism, and quality gates. Coordinates all 10 downstream agents.
ML models score every claim's denial probability before submission. Catches missing authorizations, coding mismatches, and payer-specific rules in real time.
NLP-powered validation of CPT/ICD-10 code assignments against clinical documentation. Catches upcoding risks and documentation gaps before submission.
Real-time prior authorization verification against payer portals. Prevents the #1 denial reason — missing auth — before claim submission.
Autonomous identification of undercoded claims, missed charges, and contract underpayments. Surfaces revenue you didn't know you were losing.
Prioritizes collection workflows by recovery probability, payer behavior patterns, and aging. AI-driven triage replaces manual worklists.
Tracks payer-specific rules, reimbursement patterns, and fee schedule variances. Detects underpayments and denial pattern shifts automatically.
Continuously audits payer payments against contracted rates. Identifies underpayments and auto-generates appeal documentation.
Six-dimension heuristic quality scoring of agent outputs: Groundedness, Accuracy, Reliability, Variance, Inference Cost, Safety. The open-source scorers are in the Apache-2.0 ARGUS-AI library; scores are trend signals.
Aether is the output-correction layer in this product. When an output scores below threshold it is revised and re-checked, with a bounded number of retries. It reduces errors; it does not guarantee correct output, and high-risk outputs still go to human review. Separate from the open-source ARGUS-AI scoring library.
Routes claims, assigns tasks, and escalates exceptions. Replaces manual worklists with AI-driven triage and auto-resolution.
Six-dimension heuristic quality framework. The open-source implementation (ARGUS-AI, Apache-2.0) uses rule-based scorers and has no benchmarks against labelled data.
Production-grade, cloud-native architecture built for healthcare scale and compliance.
Real-time claim and EHR data ingestion via standard healthcare protocols
Orchestrated AI agents for denial prediction, coding validation, and recovery
Real-time dashboards, trend analysis, and predictive revenue forecasting
Bidirectional integration with Epic, Cerner, Athena, and major clearinghouses
Connects to your existing healthcare IT infrastructure on day one.
Bidirectional integration with major EHR platforms for clinical data, encounter records, and documentation.
Real-time sync with PM systems for scheduling, patient demographics, and charge capture.
Direct claim submission and remittance processing through major clearinghouse partners.
Export revenue intelligence data to your existing analytics and business intelligence platforms.
ARIA is designed from day one to be integration-ready — whether you're scaling internally, raising strategic capital, or positioning for acquisition.
Isolated data environments per client with shared compute. Supports enterprise rollout across health systems, IDNs, and RCM service providers.
Designed around encryption, audit logging and role-based access. Controls are configurable per deployment, and I support implementation and evidence gathering with your security and compliance team. A SOC 2 or similar audit can be engaged as part of a customer deployment. Certification is established by your own programme and auditors.
RESTful APIs with comprehensive documentation. Enables rapid integration into existing RCM workflows and third-party platforms.
Clear ROI per client with measurable outcomes: denial rate reduction, A/R days improvement, and net revenue lift. Metrics acquirers care about.
Six-dimension heuristic quality scoring on agent outputs, built on the open-source ARGUS-AI library (Apache-2.0).
Revenue cycle management is a massive, growing market. ARIA addresses the fastest-growing segment: AI-powered denial prevention and recovery.
Walk through a live simulation of 11 autonomous agents with G-ARVIS quality scoring. The correction step shown is a simulation of the planned ARGUS Platform. No signup required.
Launch Interactive DemoARIA is available for enterprise deployment, strategic investment, partnership, and acquisition conversations.