13. The system of claim 6 , wherein the at least one computing device is further configured to at least: determine at least one entity referenced by the natural language input; and load, from a data store, data corresponding to the at least one entity.
6. A system, comprising: at least one computing device, comprising a processor and a memory; and machine readable instructions stored in the memory that, when executed by the processor, cause the at least one computing device to at least: train a first machine learning model with a plurality of communications between a plurality of users and a plurality of service clients, each of the plurality of communications linked to an action implemented by at least one of the plurality of service clients; train a second machine learning model to recognize an intended action of a user based at least in part on a set of selections of user intents by individual ones of a plurality of service representatives; receive a natural language input from a client device; provide the natural language input and context data associated with the client device to the trained first machine learning model to generate an output corresponding to a plurality of possible intended actions, wherein each of the plurality of possible intended actions of the user of the client device; identify an intended action of the user from the plurality of possible intended actions based at least in part on an application of the trained second machine learning model to the output of the trained first machine learning model; determine, based at least in part on the intended action of the user and the context data, a first state in a workflow progression for performance of the intended action; update the workflow progression from the first state to a second state based at least in part on the intended action and the context data; and provide to the client device a response to the natural language input, wherein the response is based at least in part on the second state in the workflow progression.