A system for computer-based virtual agent trainer, the system comprising: a memory storing instructions; and a processor in communication with the memory, wherein, when the processor executes the instructions, the instructions are configured to cause the processor to: obtain input data, wherein the input data comprises a plurality of base utterances, generate a preliminary set of utterances based on the input data, wherein generating the preliminary set of utterances based on the input data comprises: obtaining an industry keyword based on the input data, generating at least one synonym of the industry keyword, and generating the preliminary set of utterances based on the input data and the at least one synonym, process the preliminary set of utterances to generate a set of utterance training data, wherein processing the preliminary set of utterances to generate the set of utterance training data comprises: labeling the preliminary set of utterances, and checking validity of the preliminary set of utterances to obtain the 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 maturity report based on verification results. a memory storing instructions; and a processor in communication with the memory, wherein, when the processor executes the instructions, the instructions are configured to cause the processor to: obtain input data, wherein the input data comprises a plurality of base utterances, generate a preliminary set of utterances based on the input data, wherein generating the preliminary set of utterances based on the input data comprises: obtaining an industry keyword based on the input data, generating at least one synonym of the industry keyword, and generating the preliminary set of utterances based on the input data and the at least one synonym, process the preliminary set of utterances to generate a set of utterance training data, wherein processing the preliminary set of utterances to generate the set of utterance training data comprises: labeling the preliminary set of utterances, and checking validity of the preliminary set of utterances to obtain the 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 maturity report based on verification results. obtain input data, wherein the input data comprises a plurality of base utterances, generate a preliminary set of utterances based on the input data, wherein generating the preliminary set of utterances based on the input data comprises: obtaining an industry keyword based on the input data, generating at least one synonym of the industry keyword, and generating the preliminary set of utterances based on the input data and the at least one synonym, obtaining an industry keyword based on the input data, generating at least one synonym of the industry keyword, and generating the preliminary set of utterances based on the input data and the at least one synonym, process the preliminary set of utterances to generate a set of utterance training data, wherein processing the preliminary set of utterances to generate the set of utterance training data comprises: labeling the preliminary set of utterances, and checking validity of the preliminary set of utterances to obtain the set of utterance training data, labeling the preliminary set of utterances, and checking validity of the preliminary set of utterances to obtain the 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 maturity report based on verification results.