Automaton - AI-Enhanced Workflow Automation Platform

A cloud-native, AI-enhanced Workflow Automation Platform that enables businesses to define, automate, and monitor internal operational workflows—without writing code.

🚀 Features

Core Capabilities

• Visual Workflow Designer: Drag-and-drop canvas for creating workflows
• AI-Powered Suggestions: Intelligent recommendations for workflow optimization
• Real-time Monitoring: Live execution tracking and performance analytics
• Multi-tenant Architecture: Secure isolation for different organizations
• RESTful API: Comprehensive API for integrations
• WebSocket Support: Real-time updates and notifications

Workflow Types

• Onboarding Processes: Automated employee onboarding workflows
• Email Alerts: Conditional email notifications and campaigns
• Approval Chains: Multi-level approval processes with escalations
• Reporting Schedules: Automated report generation and distribution
• Data Processing: ETL workflows for data transformation
• Integration Workflows: Connect with external services and APIs

AI Enhancements

• Smart Suggestions: AI recommends optimal workflow paths
• Natural Language Processing: Create workflows using natural language
• Performance Optimization: AI analyzes and suggests workflow improvements
• Error Prediction: Proactive identification of potential workflow issues

🏗️ Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Frontend      │    │   Backend       │    │   AI Services   │
│   (React)       │◄──►│   (Node.js)     │◄──►│   (OpenAI)      │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         │              ┌─────────────────┐             │
         └──────────────►│   PostgreSQL   │◄────────────┘
                        │   (Workflows)   │
                        └─────────────────┘
                                │
                        ┌─────────────────┐
                        │   MongoDB       │
                        │   (Execution)   │
                        └─────────────────┘

🛠️ Tech Stack

Frontend

• React 18 with TypeScript
• React Flow for visual workflow design
• Tailwind CSS for styling
• Socket.io-client for real-time updates
• React Query for state management

Backend

• Node.js with Express and TypeScript
• PostgreSQL for workflow definitions and metadata
• MongoDB for execution logs and analytics
• Socket.io for real-time communication
• JWT for authentication
• OpenAI API for AI enhancements

Infrastructure

• Docker for containerization
• Kubernetes for orchestration
• Redis for caching and session management
• Nginx for reverse proxy

🚀 Quick Start

Prerequisites

• Node.js 18+
• Docker and Docker Compose
• PostgreSQL
• MongoDB

Installation

1. Clone the repository

   git clone <repository-url>
   cd automaton-workflow-platform

2. Install dependencies

   npm install

3. Set up environment variables

   cp .env.example .env
   # Edit .env with your configuration

4. Start the development environment

   npm run dev

5. Access the application

   • Frontend: http://localhost:3000
   • Backend API: http://localhost:8000
   • API Documentation: http://localhost:8000/api-docs

Docker Deployment

# Build and start all services
npm run docker:build
npm run docker:up

# Stop services
npm run docker:down

📚 API Documentation

The API documentation is available at /api-docs when the backend is running.

Key Endpoints

• POST /api/workflows - Create a new workflow
• GET /api/workflows - List all workflows
• PUT /api/workflows/:id - Update a workflow
• POST /api/workflows/:id/execute - Execute a workflow
• GET /api/workflows/:id/executions - Get execution history
• POST /api/ai/suggestions - Get AI workflow suggestions

🎯 Usage Examples

Creating an Onboarding Workflow

1. Design the Workflow

   • Drag and drop nodes for each step
   • Configure conditions and approvals
   • Set up email notifications

2. Configure Triggers

   • Set up webhook triggers
   • Schedule recurring executions
   • Define manual trigger points

3. Monitor Execution

   • Real-time execution tracking
   • Performance analytics
   • Error handling and retries

AI-Powered Workflow Optimization

The platform uses AI to:

• Suggest optimal workflow paths
• Identify bottlenecks and inefficiencies
• Recommend automation opportunities
• Predict potential errors

🔧 Development

Project Structure

automaton-workflow-platform/
├── packages/
│   ├── frontend/          # React application
│   ├── backend/           # Node.js API server
│   └── shared/            # Shared types and utilities
├── docker-compose.yml     # Docker configuration
├── kubernetes/            # K8s deployment files
└── docs/                 # Documentation

Running Tests

npm run test              # Run all tests
npm run test:frontend     # Frontend tests only
npm run test:backend      # Backend tests only

Code Quality

• ESLint for code linting
• Prettier for code formatting
• Husky for pre-commit hooks
• Jest for testing

📄 License

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

🆘 Support

For support and questions:

• Create an issue in the repository
• Check the documentation in the /docs folder
• Contact the development team

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