Enterprise AI Ecosystem
A multi-agent system designed to automate complex procurement workflows, resulting in a 40% reduction in processing time.
TechVision Corp
March 2025
Lead AI Engineer
40% Process Efficiency
Project Overview
This project involved architecting a sophisticated multi-agent AI system for a Fortune 500 company. The goal was to streamline their procurement process, which was previously manual and prone to errors. We utilized LangChain for agent orchestration and integrated various LLMs to handle specific tasks within the workflow.
The Challenges
Orchestrating multiple AI agents with specialized roles.
Ensuring high accuracy in data extraction from complex PDF invoices.
Integrating with legacy ERP systems without downtime.
Our Solutions
Developed a custom state-management layer for agent communication.
Implemented RAG (Retrieval-Augmented Generation) for precise context injection.
Built a robust API bridge to safely interface with legacy infrastructure.
The Results
The impact delivered through this collaboration exceeded expectations.
40% reduction in procurement cycle time.
95% accuracy in automated data entry.
Significant reduction in manual labor costs.
Tech Stack Used
Next Project
Explore More Work