Abstract: Systems and methods for automated data extraction of unstructured documents can include includes a processor coupled with memory, and configured to receive, from a client device, an electronic document corresponding to a client account and identify, from a plurality of classifications, a classification for at least a portion of the electronic document. Based on the classification, the processor can select a set of prompts for artificial intelligence models according to an extraction plan specifying the prompts and mapping rules to extract data elements from the document. The processor can transform the extracted data elements to map to predefined sets, establish relationships between normalized entities, and compare attributes of the electronic document with attributes of documents corresponding to different client accounts. The system can generate, based on comparisons, a parameter for an extracted data element and provide, for display on the client device, the parameter as a grade, score, or recommendation.