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System Status
Online: 3K+ Agents Active
Digital Worker 6 AI Agents Active

AI-Powered Claims Auto-Adjudication System

## The Solution A multi-agent AI orchestration system processes claims through parallel specialized agents using the ReAct reasoning pattern. Six coordinated agents simultaneously verify eligibility, detect fraud patterns, validate clinical appropriateness, audit pricing, and ensure compliance with full audit trails.

6 AI Agents
6 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: claims-auto-adjudication

Problem Statement

The challenge addressed

## The Challenge Healthcare claims processing in multiemployer plans involves complex eligibility rules, fraud detection, medical necessity validation, and multi-tier pricingβ€”requiring extensive manual review that creates processing delays, inconsis...

Solution Architecture

AI orchestration approach

## The Solution A multi-agent AI orchestration system processes claims through parallel specialized agents using the ReAct reasoning pattern. Six coordinated agents simultaneously verify eligibility, detect fraud patterns, validate clinical appropri...
Interface Preview 4 screenshots

AI Agent Orchestration processing view showing five parallel agents (Eligibility Verifier, Fraud Hunter, Clinical Validator, Pricing Auditor, Compliance Guardian) actively processing a healthcare claim with real-time progress indicators, token usage metrics, and RAG-enabled ML inference status

Claims adjudication output displaying an APPROVED decision with 93% confidence score, executive summary of multi-agent consensus, key findings (Member Eligibility Confirmed, Medical Necessity Validated, Pricing Rules Applied), and comprehensive risk assessment with fraud detection and compliance status

Technical Deep Dive - Agents configuration panel showing model specifications for Eligibility Verifier (Custom ML Classifier), Fraud Hunter (SageMaker Ensemble), and Clinical Validator (Clinical BERT on AWS Bedrock), including RAG configurations with Pinecone vector store and runtime performance metrics

Technical Deep Dive - Kafka Event Stream showing real-time agent orchestration events with JSON payloads for claim processing phases (initializing, planning, agent.started), correlation IDs for distributed tracing, and timestamped workflow progression

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

6 Agents
Parallel Execution
AI Agent

AI Orchestrator Agent

Complex claims require coordinated analysis from multiple specialized systems, but sequential processing creates bottlenecks and lacks unified decision-making oversight.

Core Logic

The Orchestrator Agent serves as the central coordinator, managing workflow execution across all specialist agents using a state machine architecture. It handles agent activation sequencing, aggregates results from parallel processes, resolves conflicts between agent recommendations, and synthesizes final adjudication decisions with confidence-weighted voting.

ACTIVE #1
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AI Agent

Eligibility Verification Agent

Multiemployer eligibility involves complex hour-bank calculations across multiple employers, with rules varying by plan, coverage tier, and dependent relationships.

Core Logic

This agent performs real-time eligibility verification by querying member hour banks, validating coverage effective dates, checking dependent relationships against plan rules, and confirming benefit tier applicability. It calculates remaining coverage periods and flags approaching eligibility lapses requiring self-payment options.

ACTIVE #2
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AI Agent

Fraud Detection Agent

Healthcare fraud costs benefit plans millions annually through duplicate claims, phantom billing, unbundling schemes, and identity fraudβ€”patterns difficult to detect in high-volume processing.

Core Logic

The Fraud Hunter Agent employs anomaly detection algorithms and pattern recognition to identify suspicious claims. It analyzes billing patterns against provider profiles, detects duplicate submissions across time windows, identifies impossible service combinations, and flags statistical outliers for human review while maintaining a continuously-learning risk model.

ACTIVE #3
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AI Agent

Clinical Validation Agent

Medical necessity review requires clinical expertise to match diagnoses with procedures, validate treatment protocols, and ensure services align with evidence-based guidelines.

Core Logic

This agent validates clinical appropriateness by cross-referencing diagnosis codes with procedure codes, checking against clinical editing rules (CCI/MUE), verifying age/gender appropriateness, and ensuring services match accepted treatment protocols. It integrates with medical policy databases and prior authorization records.

ACTIVE #4
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AI Agent

Pricing Audit Agent

Claims pricing involves multiple fee schedules, contracted rates, COB calculations, and deductible/copay applicationsβ€”errors result in overpayments or provider disputes.

Core Logic

The Pricing Auditor Agent validates billed amounts against contracted fee schedules, applies appropriate pricing methodologies (fee schedule, UCR, DRG), calculates member cost-sharing, coordinates benefits with other coverage, and ensures accurate fund allocation across health, dental, and vision plans.

ACTIVE #5
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AI Agent

Compliance Guardian Agent

Healthcare claims must comply with HIPAA, ERISA, ACA, and Mental Health Parity regulationsβ€”violations expose funds to penalties and legal liability.

Core Logic

This agent performs regulatory compliance validation across all applicable frameworks. It verifies HIPAA transaction compliance, ensures ERISA fiduciary standards, validates ACA essential benefit coverage, checks Mental Health Parity Act requirements, and generates compliance attestation documentation for audit purposes.

ACTIVE #6
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

The Claims Auto-Adjudication Digital Worker is an enterprise-grade multi-agent system that processes healthcare claims through an orchestrated pipeline of AI agents. Built on a DAG (Directed Acyclic Graph) architecture, it enables parallel execution of independent validation tasks while maintaining proper sequencing for dependent operations. The system processes claims in real-time, providing transparent reasoning trails and confidence scores for each decision.

Tech Stack

6 technologies

Frontend with reactive state management

AI Orchestrator service for agent coordination

ReAct (Reasoning and Acting) pattern implementation

WebSocket connections for real-time processing updates

Integration with SpyGlass claims management system

HIPAA-compliant data handling and audit logging

Architecture Diagram

System flow visualization

AI-Powered Claims Auto-Adjudication System Architecture
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