AI Agent Agentic AI Multi-Agent Fraud Detection System Example

No Surprises Act Compliance Engine

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation.

View Core Logic Back to Worker

Parent Worker Agentic AI Multi-Agent Fraud Detection System

Agent ID

nsa-compliance-engine

Portal Nexgile-PaySentry Nexus

Sector Payment Integrity & Medical Bill Review

Status

Illustrative

Problem Statement

The challenge addressed

Out-of-network billing violations expose organizations to significant penalties and member harm under the No Surprises Act.

Core Logic

How the agent solves it

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Calculates Qualifying Payment Amount (QPA) using median in-network rates... Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Calculates Qualifying Payment Amount (QPA) using median in-network rates over 90 days. Identifies balance billing violations, missing good faith estimates, and IDR-eligible disputes. Detects when billed amounts exceed 1.5x QPA threshold. Tracks patient consent for out-of-network services.

System Navigation

Explore related components

Portal

Nexgile-PaySentry Nexus

Digital Worker

Agentic AI Multi-Agent Fraud Detection System

Current Agent

No Surprises Act Compliance Engine

Here

No Surprises Act Compliance Engine

Problem Statement

Core Logic

System Navigation

Portal

Digital Worker

Current Agent

Global Headquarters

Global Capability Center