The Challenge
A leading construction and manufacturing conglomerate in the UAE needed to modernize their equipment management operations spanning a fleet worth over 600 million AED. Their legacy systems couldn't handle real-time tracking, predictive maintenance, or intelligent material procurement. Workshop operations were manual, leading to equipment downtime, delayed repairs, and inefficient inventory management. They required an intelligent platform that could automate workflows and provide AI-driven recommendations for materials and maintenance scheduling.
Our Solution
We developed a comprehensive Equipment and Workshop Management Platform powered by AI agents and the Model Context Protocol (MCP) for intelligent decision-making. The system uses RAG (Retrieval-Augmented Generation) with pgvector for semantic search across equipment manuals, maintenance history, and supplier catalogs. LangGraph orchestrates complex multi-step workflows for maintenance scheduling, parts ordering, and resource allocation. The entire workflow from equipment inspection to repair completion is fully automated with human-in-the-loop approvals for critical decisions.
