Systems and methods for AI integrated compliance and data management

A computer implementation method for managing an artificial intelligence (“AI”) system, the method comprising:

• executing, by at least one processor, an interactive session with a plurality of respondents via a plurality of user interface displays that accept and tailor subsequent user interface displays dynamically during the interactive session based on artificial intelligent outputs returned during the interactive session;
• instantiating a first AI model, trained on regulatory information and custom policy information, and trained to output a set of requirements associated with the regulatory information and custom client policy information;
• evaluating, using the first AI model executed by the at least one processor, a plurality of constraints defined by input regulatory information and input custom policy information to automatically identify and output a set of execution requirements for one or more targets;
• instantiating a second AI model trained on execution requirement inputs and trained to output text based questions and requests for validation data associated with at least some of the text based questions;
• generating, automatically, at least in part, with a second AI model executed by the at least one processor, visual interface objects including a dynamically generated set of questions or requests for information for display in a user interface to capture user text input submissions on which to evaluate execution status for the set of execution requirements on a plurality of execution targets based on responses to the text based questions and responses to the request for validation objects, wherein the set of execution requirements include multiple client locations each having respective requirements;
• tailoring, by the at least one processor, the interactive guided session and associated user interface displays based on a respective client location and the respective requirements associated with the interactive session;
• instantiate a third AI model trained on, at least in part, complete free text responses and incomplete free text responses and trained to output identification of incomplete or partial responses;
• analyzing, by the at least one processor, the free text input to the displayed visual interface objects from the interactive session display, the free text input associated with the respective execution targets, automatically evaluating, using the third AI model executed by the at least one processor, the free text input and automatically generating and displaying supplemental visual interface objects in response to determining a user interface input for a respective free text response is incomplete or partially complete, some of the supplemental visual interface objects including at least text based questions and requests for validation data;
• and
• generating, using a fourth AI model executed by the at least one processor, an assessment responsive to completion of analysis of the results for each of the execution targets and update a status associated with an execution evaluation, wherein the assessment includes analysis of the retrieved results generated from the displayed visual interface objects, supplemental visual interface objects, and any additional data source.