Abstract: An artificially intelligent system for generating compliance-related content, the system includes monitoring circuitry that receives regulatory compliance data from published regulatory texts; a taxonomy engine that generates taxonomy-based classifications of the regulatory compliance data, the taxonomy-based classifications having a plurality of modules and compliance requirements within each module.

Abstract: An electronic computing system receives a document and identifies steps for processing the document. Each step is associated with a respective machine learning model trained to generate an output. The system subdivides content of the document into a plurality of chunks. For each step and for each chunk, the system applies the respective machine learning model to the chunk to generate an output and a confidence value. The system compares the confidence value to a threshold value. In accordance with a determination that the confidence value exceeds the threshold value, the system stores the output as final output for the chunk and the step. In accordance with a determination that the confidence value does not exceed the threshold value, the system requests user input for the chunk and the step, and the system stores received user input as final output for the chunk and step.

Abstract: A system is provided for generating compliance manuals from modularized data and taxonomy-based classifications of regulatory obligations. The system comprises a plurality of databases storing regulatory compliance data and a plurality of processors that process the regulatory compliance data to generate business requirements for complying with regulatory obligations and corresponding compliance information related to the business requirements. A taxonomy engine receives business operating parameters related to a first business and identifies a subset of the business requirements and compliance information related to the business operating parameters of the first business. The taxonomy engine further aggregates the business requirements and the compliance information related to the business operation parameters and generates a compliance manual containing the business requirements and the compliance information for use by the first business.

Abstract: A system employing new and improved artificially intelligent system for employing modularized and taxonomy-based classifications to generate compliance-related content. In one embodiment, the system comprises monitoring circuitry that receives regulatory compliance data from one or more regulatory institutions, as well as a taxonomy engine that processes the regulatory compliance data to generate taxonomy-based classifications of the regulatory compliance data comprising a plurality of modules and compliance requirements within each module.