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Insurance Triage Agent

An AI-powered insurance claim processing system that automatically classifies, extracts information, scores, and detects fraud in insurance claims using LangGraph and IBM Watsonx.

🚀 Features

  • Web Interface: Modern Streamlit-based dashboard for easy interaction
  • Multi-type Classification: Automatically classifies claims as auto, medical, or home insurance
  • Advanced Information Extraction: Extracts key details including:
    • Insured name and policy ID
    • Claim value and type
    • Document summaries and metadata
  • Intelligent Priority Scoring: Scores claims 1-1000 based on:
    • Catastrophic nature (40% weight)
    • Deadline proximity (30% weight)
    • Claim value (20% weight)
    • Document completeness (10% weight)
  • Fraud Detection: AI-powered fraud risk assessment with:
    • Risk scoring (0-100%)
    • Anomaly detection
    • Historical pattern analysis
  • Database Integration: SQLite database for claim storage and retrieval
  • Document Processing: Supports both text and PDF documents

🏗️ Project Structure

Insurance_Priage/
├── streamlit_app.py       # Main web application
├── main.py                # CLI interface
├── workflow.py            # LangGraph workflow orchestration
├── agents.py              # AI agents (classification, extraction, scoring, fraud detection)
├── models.py              # Pydantic data models
├── database.py            # Database operations
├── config.py              # Configuration settings
├── import_past_claims.py  # Utility for importing historical claims
├── requirements.txt       # Python dependencies
├── .env.example          # Environment variables template
└── test_input/           # Sample claim documents
    ├── medical_receipt.txt
    ├── profile.txt
    └── referral.txt

🛠️ Setup

  1. Create virtual environment:

    python -m venv venv
    venv\Scripts\activate  # Windows
    source venv/bin/activate  # Linux/Mac
  2. Install dependencies:

    pip install -r requirements.txt
  3. Configure environment:

    cp .env.example .env
    # Edit .env and add your Watsonx API credentials

🚦 Usage

Web Interface (Recommended)

streamlit run streamlit_app.py

Command Line Interface

# Process sample documents
python main.py

# Process specific documents
python main.py document1.txt document2.pdf

# View stored claims
python main.py --view-claims

🤖 AI Workflow

  1. Document Ingestion: Load and process .txt or .pdf files
  2. Classification: AI determines claim type (auto/medical/home)
  3. Information Extraction: AI extracts structured data from documents
  4. Priority Scoring: Claims scored 1-1000 based on multiple factors
  5. Fraud Detection: AI analyzes for potential fraud indicators
  6. Database Storage: Processed claims stored for review and analysis

🎯 Priority Scoring

  • Catastrophic (800-1000): Life-threatening, total loss, fatalities
  • High (600-799): Significant damage, urgent medical needs
  • Medium (300-599): Moderate damage, non-emergency medical
  • Low (1-299): Minor damage, routine claims

🕵️ Fraud Detection

  • Risk Scoring: 0-100% fraud likelihood
  • Key Indicators:
    • Unusual claim patterns
    • Document inconsistencies
    • Historical claim analysis
    • Value anomalies
  • AI Reasoning: Detailed explanation of fraud risk factors

🌐 Web Interface Features

  • Document Upload: Drag-and-drop support for multiple files
  • Interactive Dashboard: Real-time claim processing status
  • Visual Analytics: Charts and graphs for claim analysis
  • Search & Filter: Easy navigation through processed claims
  • Responsive Design: Works on desktop and tablet

📊 Database Schema

The SQLite database (insurance_claims.db) includes tables for:

  • Claims (ID, insured info, claim details)
  • Documents (content, metadata)
  • Processing results (scores, timestamps)
  • Fraud detection analysis

⚙️ Requirements

  • Python 3.10+
  • IBM Watsonx API credentials
  • Streamlit
  • LangGraph and LangChain
  • SQLite3

📝 Example Output

🔍 Classifying insurance claim type...
📋 Extracting claim information...
⚖️ Scoring claim priority...
🕵️ Analyzing for potential fraud...
💾 Saving claim to database...
✅ Claim processed successfully!

📊 CLAIM PROCESSING RESULTS
==================================================
🆔 Claim ID: 42
👤 Insured: John Smith
📋 Policy ID: MED-2024-123456
🏷️ Insurance Type: medical
💰 Claim Value: $8,500.00
⭐ Priority Score: 675/1000
🛡️ Fraud Risk: 15% (Low Risk)
📅 Processed: 2024-08-14 15:30:00

About

Web application to assist you for prioritizing insurance claims for insurance processing agents using Agentic AI

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