Einstein Case Classification

Quick Answer

Einstein Case Classification is the right feature because it's purpose-built to do exactly what the service manager is asking for: automatically predicting and populating the Type, Priority, and Reason fields on incoming cases using machine learning trained on historical case data and patterns. That focus on these three specific standard fields is what sets it apart; it isn't a general-purpose AI tool that needs to be custom-configured for this outcome, it's designed around this exact classification task out of the box, which is why it doesn't require building a custom model or extensive additional setup to get value from it. By learning from how similar past cases were actually classified, it recognizes patterns in case details that a human agent would otherwise have to read and judge manually every time a new case comes in, removing that repetitive triage step from the workflow. This is a good example of the difference between a purpose-built Einstein feature and a more general or customizable one like Prediction Builder: when the fields being predicted are the platform's own standard case fields, like Type, Priority, and Reason, and the goal is reducing manual classification effort specifically, that alignment with a named, pre-built feature is usually the strongest signal pointing to the correct answer.