Artificial intelligence based virtual agent trainer

A method for computer-based virtual agent training, the method comprising:

• obtaining, by a device comprising a memory storing instructions and system circuitry in communication with the memory, input data comprising a plurality of base utterances;
• generating, by the device, a preliminary set of utterances based on the input data by:
• obtaining a plurality of industry keywords based on the input data,
• generating a plurality of synonyms of the plurality of industry keywords, and
• generating the preliminary set of utterances based on the input data and the plurality of synonyms according to at least one combination of the generated plurality of synonyms of the plurality of industry keywords;
• processing, by the device, the preliminary set of utterances to generate a set of utterance training data;
• generating, by the device, a set of conversations based on the set of utterance training data;
• simulating, by the device, the set of conversations on a virtual agent to obtain a conversation result;
• verifying, by the device, an intent and a response based on the conversation result;
• verifying, by the device, a use case flow and flow hops based on the conversation result;
• and
• generating, by the device, recommendation information and a maturity report based on verification results.

A product for computer-based virtual agent training, the product comprising:

• machine-readable media other than a transitory signal;
• instructions stored on the machine-readable media;
• a processor in communication with the machine-readable media;
• and
• wherein when the processor executes the instructions, the processor is configured to:
• obtain input data comprising a plurality of base utterances,
• generate a preliminary set of utterances based on the input data by:
• obtaining a plurality of industry keywords based on the input data,
• generating a plurality of synonyms of the plurality of industry keywords, and
• generating the preliminary set of utterances based on the input data and the plurality of synonyms according to at least one combination of the generated plurality of synonyms of the plurality of industry keywords,
• process the preliminary set of utterances to generate a set of utterance training data,
• generate a set of conversations based on the set of utterance training data,
• simulate the set of conversations on a virtual agent to obtain a conversation result,
• verify an intent and a response based on the conversation result,
• verify a use case flow and flow hops based on the conversation result, and
• generate recommendation information and a maturity report based on verification results.