Systems and methods for analysis of internal data using generative ai

A computer system configured for generating sentiment-adjusted dialogue output using generative artificial intelligence techniques, the computer system comprising:

• one or more processors;
• a communication unit;
• and
• a non-transitory computer-readable medium coupled to the one or more processors and the communication unit and storing instructions thereon that, when executed by the one or more processors, cause the computer system to:
• receive internal database information at a generative artificial intelligence (AI) model, wherein the internal database information includes data associated with interaction dialogue;
• analyze the internal database information via the generative AI model to identify one or more impact elements predicted to cause a sentiment change in a user;
• predict that at least one impact element of the one or more impact elements will be received negatively by the user;
• and
• generate, via the generative AI model, a dialogue output including (i) the at least one impact element predicted to be received negatively and (ii) additional information determined to offset the at least one impact element predicted to be received negatively.

A tangible, non-transitory computer-readable medium storing instructions for generating sentiment-adjusted dialogue output using generative artificial intelligence techniques that, when executed by one or more processors of a computing device, cause the computing device to:

• receive internal database information at a generative artificial intelligence (AI) model, wherein the internal database information includes data associated with interaction dialogue;
• analyze the internal database information via the generative AI model to identify one or more impact elements predicted to cause a sentiment change in a user;
• predict that at least one impact element of the one or more impact elements will be received negatively by the user;
• and
• generate, via the generative AI model, a dialogue output including (i) the at least one impact element predicted to be received negatively and (ii) additional information determined to offset the at least one impact element predicted to be received negatively.