Automation discovery platform

A system, comprising:

• a processor configured to:
• obtain training data indicating conversation utterances and labels that are associated with the conversation utterances, wherein each of the labels of at least a subset of the labels corresponds to a virtual agent automation topic;
• obtain a language machine learning model, wherein the language machine learning model has been trained to a first trained state using unlabeled data;
• and
• update the language machine learning model from the first trained state to a second trained state by applying the training data to the language machine learning model, wherein updating the language machine learning model includes generating an automation discovery model configured to provide outputs corresponding to virtual agent automation opportunities;
• and
• a memory coupled to the processor and configured to provide the processor with instructions.

A computer program product embodied in a non-transitory computer readable medium and comprising computer instructions for:

• obtaining training data indicating conversation utterances and labels that are associated with the conversation utterances, wherein each of the labels of at least a subset of the labels corresponds to a virtual agent automation topic;
• obtaining a language machine learning model, wherein the language machine learning model has been trained to a first trained state using unlabeled data;
• and
• updating the language machine learning model from the first trained state to a second trained state by applying the training data to the language machine learning model, wherein updating the language machine learning model includes generating an automation discovery model configured to provide outputs corresponding to virtual agent automation opportunities.