🤖 AI Operations Manager Agent

AI Operations Manager Agent is a premium, high-performance dashboard designed to bridge the gap between human operations and agentic AI. It provides organizational leaders with real-time insights into workflow health, structural SOP gaps, and autonomous automation opportunities.

Project Live Demo

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✨ Core Features

• 📊 Executive Overview: High-level telemetry for organizational "Ops Health," tracking analyzed tasks, bottleneck trends, and efficiency gains.
• 🧠 SOP Intelligence: A structural audit engine that analyzes Standard Operating Procedures for redundancies and communication gaps.
• 🛰️ Stream Monitor: Real-time surveillance of operational flows with built-in anomaly detection and "Live Engine" simulation.
• ⚡ Automation Lab: Proactive AI suggestions for self-healing workflows with integrated ROI projections.
• 🔔 AI Sentinel Notifications: Dynamic toast notification system for real-time background intelligence findings.

🛠️ Tech Stack

• Frontend: React 18 + TypeScript
• Styling: Tailwind CSS (Custom Design Tokens)
• Animations: Framer Motion
• Icons: Lucide React
• Build Tool: Vite
• Typography: Outfit (Brand) & Inter (UI)

📂 Folder Structure

├── src/
│   ├── components/       # Functional logic blocks (SOP, Monitor, Settings)
│   ├── assets/           # Static media assets
│   ├── App.tsx           # Main application shell & routing
│   ├── index.css         # Global styles & design system tokens
│   └── main.tsx          # React DOM mounting
├── public/               # Static assets exposed to root
└── tailwind.config.js    # Design system configuration

🚀 Local Installation

1. Clone the repository:

   git clone https://github.com/Ismail-2001/ai-operations-manager-agent.git
   cd ai-operations-manager-agent

2. Install dependencies:

   npm install

3. Start the development server:

   npm run dev

4. Build for production:

   npm run build

🌐 Netlify Deployment

This project is optimized for deployment on Netlify.

1. Connect your GitHub repository to Netlify.
2. Use the following build settings:
   • Build Command: npm run build
   • Publish Directory: dist

🗺️ Roadmap

• Phase 1: Initial high-fidelity UI and simulations.
• Phase 2: Transition from mock simulation to real-time Persistence (Supabase/Firebase).
• Phase 3: Integration with actual LLM (OpenAI/Claude) via backend edge functions.
• Phase 4: Multi-agent support for cross-departmental monitoring.

📄 License

This project is licensed under the MIT License.

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Developed with ❤️ by Ismail