Rapid deployment of dialogue system

A storage subsystem holding instructions executable by a logic subsystem, the instructions comprising:

• instructions to establish a dialogue session between an application executing on a server and a first remote machine, the dialogue session including one or more utterances received from a user at the first remote machine;
• instructions for the application on the server to receive, from the first remote machine, a computer-readable representation of an utterance by the user;
• instructions for the application on the server to operate a natural language processing machine to identify a request associated with the utterance;
• instructions for the application on the server to operate a dialogue expansion machine to generate a plurality of alternatives for responding to the request;
• instructions for the application on the server to operate a a previously-trained machine learning confidence model to assess a confidence score for each alternative of the plurality of alternatives, wherein a top alternative of the plurality of alternatives has a highest confidence score;
• instructions for the application on the server to transmit the alternatives to a second remote machine in response to determining that the highest confidence score for the top alternative of the plurality of alternatives does not satisfy a threshold;
• and
• instructions for the application on the server to execute further computer-readable instructions defining a selected alternative of the plurality of the alternatives, based on input received from a human reviewer at the second remote machine.

A dialogue system, comprising:

• a communication subsystem configured to:
• establish a dialogue session between an application executing on a server and a first remote machine, the dialogue session including one or more utterances received from a user at the first remote machine;
• and
• receive from the remote machine, by the application on the server, a computer-readable representation of an utterance by the user;
• a natural language processing machine configured to identify a request associated with the utterance;
• a dialogue expansion machine configured to generate a plurality of alternatives for responding to the request;
• a machine learning confidence model previously-trained to assess a confidence score for each alternative of the plurality of alternatives such that a top alternative of the plurality of alternatives is assessed with a highest confidence score;
• wherein the communication subsystem is further configured to transmit the alternatives to a second remote machine in response to determining that the highest confidence score for the top alternative of the plurality of alternatives does not satisfy a threshold;
• and
• the dialogue system further comprising a logic subsystem configured to execute computer-readable instructions defining a selected alternative of the plurality of the alternatives based on input received from a human reviewer at the second remote machine.