2026 International Conference on Networks Computers and Communications (ICNCCom 2026)

As industrial operations and international trade regulations get more complicated the need for independent supervision systems becomes really important. The old ways of supervising things have a problem. They lose a lot of information when workers change shifts, which causes 30 to 50 percent of safety problems. Global trade compliance teams also have a time keeping up with changing sanctions, export controls and classification rules. This paper talks about EnterpriseAI a system that uses agents to work independently and address gaps, in industrial operations and global export compliance. It uses a supervisor pattern and works with eight special AI agents using LangChain and LangGraph. The system makes sure it follows the rules by using a Retrieval-Augmented Generation pipeline that looks at regulatory texts. One of the new ideas is a governance engine that enforces eleven safety and compliance rules in real time. EnterpriseAI works locally using the LLaMA-3 model via Ollama. It provides a secure system that people can work with which helps make things safer predicts equipment problems and makes sure we follow international trade regulations without sharing sensitive information.

Multi-Agent Systems, Industrial AI, Retrieval Augmented Generation, Trade Compliance, LLM Governance, Autonomous Supervision, LangGraph, ChromaDB.