Abstract: In some examples, a server may receive a user communication describing an issue with a computing device and assign a case to the computing device. The server may determine previously provided telemetry data (e.g., logs and usage data sent by the computing device) as well as previous cases associated with the computing device. Machine learning may be used to predict, based on the user communication, the telemetry data, and the previous cases, a predicted cause of the issue, a predicted time to close the case, and a predicted set of steps to resolve the issue. The machine learning may predict a bottleneck in at least one step of the set of steps that causes the predicted time to close to exceed a threshold and predict one or more actions to address the bottleneck. The server may automatically perform at least one action of the one or more actions.