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AI MDR – Modular AI Workflow Automation & SaaS Platform

Developed AI MDR, a modular AI workflow automation platform using Next.js, React.js, Tailwind CSS, Prisma ORM, and OpenAI API. The system executes intelligent workflows with triggers, conditional logic, and actions, providing real-time AI decision-making, scalable architecture, and secure, monitored SaaS deployment.

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Project details

AI MDR is a modular AI-driven workflow automation platform designed to streamline business operations by executing intelligent workflows with trigger-based logic, conditional branching, actions, and data transformations. The platform leverages real-time AI decision-making to optimize structured business processes, enabling scalable, contextual, and automated orchestration across diverse enterprise scenarios.

Business Objective

  • Build a scalable AI orchestration layer for structured business workflows
  • Enable real-time, contextual decision-making within automated processes
  • Support trigger-based workflows with dynamic actions and conditional execution
  • Provide secure, monitored, and maintainable SaaS architecture

Tech Stack & Skills

Frontend & Frameworks:

  • Next.js
  • React.js
  • Tailwind CSS

Backend & Database:

  • Prisma ORM

Authentication & Security:

  • Better Auth

Payments & Subscriptions:

  • Stripe

AI Integration:

  • OpenAI API via Vercel AI SDK

Security & Monitoring:

  • Wazuh Agent

Deployment:

  • Vercel

Skills Applied

  • AI Agent & Workflow Development
  • Modular Component Architecture
  • Real-Time Decision Engine Implementation
  • State Management & Performance Optimization
  • Security & Monitoring Integration

Architecture & Implementation

  • Designed dynamic workflow nodes: Trigger, Action, Condition, Transform
  • Built an AI-driven decision engine using OpenAI for contextual inference
  • Developed a component-based, scalable architecture for maintainability
  • Optimized React rendering and state management for real-time workflow execution
  • Integrated Wazuh for system monitoring, observability, and security

Outcome

  • Delivered a scalable AI orchestration platform capable of executing intelligent workflows
  • Enabled real-time decision-making across structured business processes
  • Built a secure, monitored, and maintainable SaaS solution
  • Provided a foundation for future AI automation and enterprise integration

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