Abstract: Disclosed are various embodiments to deploy automated service agents, which can be implemented with an application executed on a computing device. The application can cause the computing device to process a transcript to identify an intended action of a service agent, wherein the transcript comprises a first set of text generated by the service agent and a second set of text generated by another party. The application can also cause the computing device, in response to an identification of the intended action from the transcript, to process the transcript to extract a minimum set of information required to create a workflow item that corresponds to the intended action. Moreover, the application can cause the computing device to send a request to a workflow management system to create the workflow item that corresponds to the intended action, wherein the request comprises an identifier for the intended action and the acquired information.

Abstract: Disclosed are various embodiments for an automated service agent. Natural language inputs are obtained from a client. The natural language inputs and other data are input to machine learning models to identify intents reflected in the natural language inputs. A state in a workflow is updated to reflect the identified intents. Responses may be communicated to the client to further progress in the workflow.