Effective incident management is key to maintaining system reliability, but triaging alerts and categorizing incidents can be time-consuming. Google Teachable Machine enables SRE and platform engineering teams to build simple machine learning models without coding. In this session, we will demonstrate how to train a model to classify different types of incidents—such as network failures, application errors, and database issues—using sample data. Attendees will see a live demo where new incidents are automatically classified, helping teams prioritize and respond faster. This practical example showcases how lightweight AI models can reduce manual toil, enhance operational efficiency, and make reliability practices more accessible to both technical and non-technical stakeholders.