The Toronto-Dominion Bank
DYNAMIC MANAGEMENT OF COMPLIANCE WORKFLOW USING TRAINED MACHINE-LEARNING AND ARTIFICIAL-INTELLIGENCE PROCESSES

Abstract:

The disclosed exemplary embodiments include computer-implemented apparatuses and processes that dynamically manage compliance workflow using trained machine-learning and artificial-intelligence processes. For example, an apparatus may receive, from a device, request data that includes application data associated with a product and compliance data characterizing an activity. The compliance data may include a classification code and textual content, and based on an application of a trained machine-learning or artificial-intelligence process to the classification code and to at least a portion of the textual content, the apparatus may generate output data characterizing a predicted likelihood that the activity complies with a restriction associated with the product. When the output data is inconsistent with at least one compliance criterion, the apparatus may determining a compliance of the activity with the restriction based on additional data associated with the activity and provision the product in accordance with at least a portion of the application data.