Abstract: In some examples, a computing device may determine that an issue (e.g., crash, restart etc.) occurred, gather context data (e.g., logs, device profile, etc.) associated with the issue, and generate a contact address to technical support based on the context data. The computing device may upload the context data to a location accessible to a server. After a user of the computing device initiates a communication to technical support using the contact address, the server may automatically route the call, based on the contact address, to a particular technician that has experience addressing the issue. The server may retrieve the context data and use machine learning to determine recommendations to address the issue. The machine learning may prioritize the recommendations and provide the context data and the prioritized recommendations to enable the particular technician to quickly resolve the issue.

Abstract: A system to intelligently guide a customer along a service engagement path is disclosed. In certain embodiments, a customer persona for the customer is determined as well as the current location of the customer in a process interaction along the service engagement path. The customer persona of the customer and current location of the customer along the service engagement path may be provided to an Artificial Intelligence/Machine Learning (AI/ML) path guidance model. Intelligent guidance data is received from the AI/ML path guidance model, where the intelligent guidance data corresponds to a suggested location along the service engagement path based on the customer persona and current location of the customer along the service engagement path. The customer is directed to the suggested location in the service engagement path.

Abstract: In some examples, a computing device may determine that an issue (e.g., crash, restart etc.) occurred, gather context data (e.g., logs, device profile, etc.) associated with the issue, and generate a contact address to technical support based on the context data. The computing device may upload the context data to a location accessible to a server. After a user of the computing device initiates a communication to technical support using the contact address, the server may automatically route the call, based on the contact address, to a particular technician that has experience addressing the issue. The server may retrieve the context data and use machine learning to determine recommendations to address the issue. The machine learning may prioritize the recommendations and provide the context data and the prioritized recommendations to enable the particular technician to quickly resolve the issue.