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OpsManager: An Agentic AI layer for 24/7 autonomous workflow optimization. It replaces static dashboards with real-time perception-action loops to identify inefficiencies and orchestrate self-healing automations.

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πŸ€– AI Operations Manager Agent

OpsManager β€” 24/7 Autonomous Workflow Intelligence Platform


React TypeScript Tailwind CSS Framer Motion Vite Netlify License: MIT


"Stop watching dashboards. Start running a living, autonomous operations brain."

OpsManager replaces static, passive dashboards with a real-time perception-action loop that continuously monitors workflow health, audits SOPs for structural gaps, and surfaces autonomous remediation opportunities β€” 24 hours a day.

🌐 Live Demo Β· ✨ Features Β· πŸ—οΈ Architecture Β· πŸš€ Get Started


πŸ“Œ The Problem

Modern operations teams face a paradox: more dashboards, less clarity.

  • Static monitoring tools show you the past β€” not what's about to break
  • SOP documentation drifts out of sync with actual workflows, creating invisible gaps
  • Automation ROI is never calculated, so inefficiencies persist indefinitely
  • Alert fatigue means the real signals get buried under the noise

OpsManager solves this by acting like a tireless AI Chief of Operations.


✨ Core Features

πŸ“Š Executive Overview β€” Ops Health Intelligence

The command center for organizational health. Provides a real-time snapshot of:

  • Ops Health Score: A composite metric tracking task throughput, bottleneck frequency, and automation coverage
  • Analyzed Tasks: Live counter of workflows processed by the AI engine
  • Bottleneck Trends: Trend lines exposing recurring friction points across teams
  • Efficiency Delta: Calculated efficiency gain vs. baseline, updated continuously

🧠 SOP Intelligence Engine

A structural audit system that goes beyond document review:

  • Redundancy Detection: Identifies duplicated steps across Standard Operating Procedures
  • Communication Gap Analysis: Flags handoff points with no clear owner or escalation path
  • Structural Scoring: Every SOP gets a clarity and efficiency score, prioritizing which to fix first
  • Auto-Suggestions: Proposes specific rewrites and consolidations to improve process quality

πŸ›°οΈ Stream Monitor β€” Real-Time Workflow Surveillance

A live operational feed that acts like radar for your workflows:

  • Live Event Stream: Continuous feed of workflow state transitions, updated in real time
  • Anomaly Detection: Flags deviations from expected flow patterns before they become incidents
  • "Live Engine" Simulation: A built-in simulation mode for testing the system without live data
  • Flow Health Indicators: Per-stream status badges (Healthy / Degraded / Critical)

⚑ Automation Lab β€” Self-Healing Workflow Generator

The proactive intelligence layer that identifies automation opportunities:

  • AI-Generated Suggestions: Context-aware automation recommendations ranked by impact
  • ROI Projections: Each suggestion includes estimated time saved per week and implementation cost
  • Priority Matrix: Suggestions sorted by effort-to-impact ratio for fast decision-making
  • One-Click Playbooks: Pre-built automation templates ready to deploy

πŸ”” AI Sentinel β€” Background Intelligence Notifications

A dynamic notification system that keeps operators informed without interrupting flow:

  • Toast Notifications: Non-blocking alerts for low-priority background findings
  • Severity Tiers: Findings are classified (Info / Warning / Critical) with appropriate urgency
  • Contextual Actions: Notifications link directly to the relevant dashboard panel

πŸ› οΈ Tech Stack

Category Technology Version Purpose
UI Framework React 18.2 Component-based UI with concurrent rendering
Language TypeScript 5.2 Type-safe development and better DX
Styling Tailwind CSS 3.4 Utility-first design with custom design tokens
Animation Framer Motion 11.0 Declarative physics-based animations & transitions
Icons Lucide React 0.344 Consistent, accessible SVG icon system
Build Tool Vite 5.1 Lightning-fast dev server and optimized builds
Typography Outfit + Inter Google Fonts Brand (Outfit) and UI (Inter) font pairing
Utils clsx + tailwind-merge 2.x Conditional class management
Deployment Netlify β€” Zero-config static site deployment

πŸ—οΈ Application Architecture

OpsManager is structured as a modular single-page application with three core functional domains, each represented by a dedicated component:

OpsManager Application
β”‚
β”œβ”€β”€ 🧩 App.tsx                   # Root shell β€” navigation state, layout, notification engine
β”‚   β”‚
β”‚   β”œβ”€β”€ πŸ“Š Executive Overview    # Inline in App.tsx β€” telemetry metrics & ops health score
β”‚   β”‚
β”‚   β”œβ”€β”€ 🧠 SOPAnalysis.tsx       # SOP audit engine β€” redundancy detection & gap analysis
β”‚   β”‚
β”‚   β”œβ”€β”€ πŸ›°οΈ WorkflowMonitor.tsx   # Live stream surveillance β€” anomaly detection & flow health
β”‚   β”‚
β”‚   └── βš™οΈ Settings.tsx          # Platform configuration β€” thresholds, notification prefs
β”‚
β”œβ”€β”€ 🎨 index.css                 # Global design tokens, glassmorphism utilities, animations
β”œβ”€β”€ πŸ”§ tailwind.config.js        # Extended Tailwind theme with custom colors & spacing
└── ⚑ vite.config.ts            # Build configuration with React plugin

Component Responsibility Map

Component Lines Responsibility
App.tsx ~650 Root shell, navigation state machine, notification toast engine, Executive Overview
SOPAnalysis.tsx ~400 SOP document ingestion, structural scoring, redundancy & gap detection
WorkflowMonitor.tsx ~390 Live event streaming, anomaly flagging, flow health indicators
Settings.tsx ~130 Platform preferences, alert thresholds, integration configuration

πŸš€ Local Installation

Prerequisites

  • Node.js 18+ and npm 9+

Step-by-Step Setup

# 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

The application will be available at http://localhost:5173

Available Scripts

Script Command Description
Dev Server npm run dev Starts Vite HMR dev server on port 5173
Production Build npm run build Compiles TypeScript & bundles for production
Preview Build npm run preview Locally serves the production build
Lint npm run lint Runs ESLint with TypeScript rules

🌐 Deployment

Deploy to Netlify (Recommended)

This project ships with a pre-configured netlify.toml β€” deployment is zero-config.

Option A β€” Deploy via Netlify UI:

  1. Push your fork to GitHub
  2. Go to Netlify β†’ "Add new site" β†’ "Import an existing project"
  3. Connect your GitHub repository
  4. Netlify will auto-detect the build settings from netlify.toml:
    • Build Command: npm run build
    • Publish Directory: dist
  5. Click Deploy Site βœ…

Option B β€” Deploy via Netlify CLI:

# Install Netlify CLI
npm install -g netlify-cli

# Login to your Netlify account
netlify login

# Build and deploy
npm run build
netlify deploy --prod --dir=dist

Deploy to Vercel

# Install Vercel CLI
npm install -g vercel

# Deploy from project root
vercel --prod

Vercel will auto-detect the Vite framework and configure the build correctly.


πŸ—ΊοΈ Roadmap

βœ… Phase 1 β€” Foundation (Complete)

  • Full high-fidelity UI with glassmorphism design system
  • Simulated real-time workflow monitoring with Live Engine
  • SOP analysis with structural scoring
  • Automation Lab with ROI projections
  • AI Sentinel notification system
  • Framer Motion micro-interactions throughout

πŸ”¨ Phase 2 β€” Real-Time Persistence (Next)

  • Supabase or Firebase backend for live data persistence
  • Real workflow events via WebSocket connections
  • User authentication & multi-tenant workspaces
  • Persistent SOP document storage and versioning

πŸ“‹ Phase 3 β€” LLM Integration (Planned)

  • OpenAI / Claude integration via serverless edge functions
  • Natural language SOP analysis (upload a doc, get scored instantly)
  • LLM-generated automation playbooks from workflow patterns
  • Conversational ops assistant sidebar

πŸ”­ Phase 4 β€” Multi-Agent Expansion (Vision)

  • Dedicated agents per department (Engineering, HR, Finance, Support)
  • Cross-departmental bottleneck correlation
  • Autonomous SOP rewriting with human approval workflow
  • Integration connectors: Jira, Notion, Slack, Linear

πŸ“‚ Full Folder Structure

AI-Operations-Manager-Agent/
β”‚
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ components/
β”‚   β”‚   β”œβ”€β”€ SOPAnalysis.tsx       # SOP audit engine component
β”‚   β”‚   β”œβ”€β”€ WorkflowMonitor.tsx   # Real-time stream surveillance component
β”‚   β”‚   └── Settings.tsx          # Platform settings component
β”‚   β”œβ”€β”€ App.tsx                   # Root application shell & navigation
β”‚   β”œβ”€β”€ index.css                 # Global styles & design system tokens
β”‚   └── main.tsx                  # React DOM entry point
β”‚
β”œβ”€β”€ public/                       # Static assets served at root
β”œβ”€β”€ index.html                    # HTML entry point
β”œβ”€β”€ netlify.toml                  # Netlify deployment configuration
β”œβ”€β”€ tailwind.config.js            # Tailwind theme extension
β”œβ”€β”€ tsconfig.json                 # TypeScript compiler options
β”œβ”€β”€ vite.config.ts                # Vite build configuration
└── package.json                  # Dependencies & npm scripts

🀝 Contributing

Contributions are welcome. To contribute:

  1. Fork the repository
  2. Create a feature branch:
    git checkout -b feature/your-feature-name
  3. Commit your changes using Conventional Commits:
    git commit -m "feat: add natural language SOP parser"
  4. Push to your fork:
    git push origin feature/your-feature-name
  5. Open a Pull Request with a clear description of the change and its impact

πŸ“„ License

Distributed under the MIT License. See LICENSE for full details.


Built to turn passive dashboards into autonomous intelligence.

If OpsManager changed how you think about operations, consider starring ⭐ the repo.

GitHub Stars

Developed with ❀️ by Ismail

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OpsManager: An Agentic AI layer for 24/7 autonomous workflow optimization. It replaces static dashboards with real-time perception-action loops to identify inefficiencies and orchestrate self-healing automations.

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