AI-Driven Incident Reporting Chatbot for Streamlined Operations – A Case Study

The Problem 

A top industrial engineering company was experiencing delays tracking and retrieving incident reports spanning different geographically located facilities. Top management was unable to get to actionable data faster as they were stuck with cumbersome dashboards and manual filtering which impacted response time and operational efficiency. 

The Solution 

An AI-Powered incident reporting chatbot was implemented utilizing Python, Azure Cognitive Search, Azure OpenAI, Databricks, Semantic Kernel framework. The chatbot provides real-time access to incident data with the simplicity of natural language questions—no longer the need to manually navigate a data source. 

The Results 

• Faster, easier access to incident reports 
• Better management and decision making at operational level 
• Ease the strain of manual labor and save time. 
• Strategic attention made possible by real-time insights 

Learn how AI revolutionized incident reporting and speed up manufacturing.