| CPC G06Q 10/0633 (2013.01) | 18 Claims |

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1. A computer system that automatically generates an output based on organizational data of an organization, the computer system comprising:
one or more processors; and
one or more databases that collectively store the organizational data associated with the organization, wherein the organizational data comprising a plurality of employee data objects that respectively correspond to a plurality of employees of the organization, and a plurality of previously generated report configuration files; and
a machine-learned model, wherein the machine-learned model is configured to generate a report configuration file based on a prompt, the machine-learned model being trained using the plurality of previously generated report configuration files;
one or more non-transitory computer-readable media that collectively store instructions that, when executed by the one or more processors, cause the computer system to perform operations, the operations comprising:
receiving a user query requesting a report associated with the organizational data;
processing, using a natural language processing model, the user query and the employee data objects to generate a prompt;
processing, by the machine-learned model, the prompt and the organizational data to generate a first report configuration file;
determining that a parameter of the first report configuration file is incorrect based on the comparison of the first report configuration file with the plurality of previously generated report configuration files;
updating the parameter of the first report configuration file prior to the processing of the first report configuration file to generate the report; and
generating the report based on the first report configuration file.
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