AI Document Agent (aiDa)

An intelligent document processing and analysis platform powered by AI agents for regulatory compliance and business intelligence.

Overview

AI Document Agent is a comprehensive platform that leverages multiple AI agents to process, analyze, and extract insights from regulatory documents. The system provides real-time document processing, entity extraction, risk assessment, and compliance monitoring capabilities.

Features

• Multi-Agent Processing: Orchestrated AI agents for document ingestion, classification, entity extraction, and analysis
• Real-time Processing: Live document processing with progress tracking and status updates
• Compliance Monitoring: Automated regulatory compliance checking and risk assessment
• Interactive Analytics: Comprehensive analytics dashboard with performance metrics
• Audit Trail: Complete audit logging for compliance and transparency
• Agent Trace Monitoring: Real-time monitoring of AI agent execution and performance

Architecture

The platform consists of:

• Frontend: React TypeScript application with Material-UI components
• Backend: FastAPI Python server with agent orchestration
• AI Agents: Specialized agents for different document processing tasks
• Database: PostgreSQL with vector embeddings for semantic search
• Monitoring: OpenTelemetry integration for observability

Quick Start

1. Clone the repository

   git clone <repository-url>
   cd AI-Document-Agent

2. Install dependencies

   # Backend
   cd backend
   pip install -r requirements.txt
   
   # Frontend
   cd ../frontend
   npm install

3. Start the servers

   # Backend (from project root)
   python simple_server.py
   
   # Frontend (from frontend directory)
   npm start

4. Access the application

   • Frontend: http://localhost:3000
   • Backend API: http://localhost:8000

Demo Mode

The application includes a comprehensive demo mode that showcases:

• Document upload and processing pipeline
• Real-time agent execution monitoring
• Interactive document viewer with entity highlighting
• Analytics dashboard with performance metrics
• Audit trail and compliance reporting

Agent System

The AI Document Agent platform uses a sophisticated multi-agent system:

• OrchestratorAgent: Coordinates the overall document processing workflow
• IngestionAgent: Handles document upload and initial processing
• ClassifierAgent: Categorizes documents by type and content
• EntityAgent: Extracts key entities and information
• RiskAgent: Assesses compliance risks and issues
• QAAgent: Provides intelligent Q&A capabilities
• CompareAgent: Compares documents for similarities and differences
• AuditAgent: Monitors and logs all system activities
• SummarizerAgent: Creates document summaries and insights
• TranslatorAgent: Handles multi-language document processing
• SentimentAnalysisAgent: Analyzes document sentiment and tone

Configuration

The application can be configured through environment variables:

• REACT_APP_API_BASE_URL: Backend API URL (default: http://localhost:8000)
• OPENAI_API_KEY: OpenAI API key for AI agent functionality
• DATABASE_URL: PostgreSQL database connection string

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

License

This project is licensed under the MIT License - see the LICENSE file for details.

🏆 Enterprise Support

Professional Services

• Custom Development: Tailored features and integrations
• Deployment Support: On-premise and cloud deployment
• Training & Consulting: Team training and best practices
• 24/7 Support: Enterprise support with SLA guarantees

Contact Information

• Email: enterprise@ai-document-agent.com
• Phone: +1 (555) 123-4567
• Documentation: https://docs.ai-document-agent.com
• Support Portal: https://support.ai-document-agent.com

---

Built with ❤️ by the AI Document Agent Team

Empowering enterprises with intelligent document processing since 2024