An Agentic Approach to Equipment Service Workflow Automation

This AWS OnAir episode explores how to transform equipment service workflows through an agentic approach to IoT device management. Discover how a common problem—like a broken AC unit requiring multiple service calls and long wait times—can be solved by connecting device data with automated service responses. AWS Solutions Architects demonstrate a practical implementation that collects and analyzes telemetry data, detects equipment anomalies before failure, automates service ticket creation using Generative AI, routes technical information to field teams, and enables predictive maintenance. The 22-minute presentation showcases a solution combining AWS IoT Core, Amazon Bedrock, and Amazon SageMaker through a live demo of real-world device data triggering automated responses. Learn about the architecture, MQTT protocol implementation, machine learning integration, error handling systems, and data visualization with QuickSight. The episode includes sections on customer experience stories, OEM challenges, architecture deep dives, and access to complete documentation and deployment code in the AWS Solutions Library.