System and method of automated debt management with machine learning

A system for automatically managing an activity related to a debt, comprising:

• a data collection circuit that collects information about entities involved in a plurality of debt transactions, a training data set of outcomes related to the entities, and a training set of debt management activities;
• a condition classifying circuit that automatically classifies at least one condition of at least one entity of the entities, wherein the condition classifying circuit comprises an artificial intelligence circuit that includes a model, wherein the model is trained using the training data set of outcomes related to the entities collected by the data collection circuit, and wherein the automatic classification of the at least one condition includes one of a rule, a threshold, a conditional procedure, a workflow, or a model parameter;
• and an automated debt management circuit comprising a set of processors that manage actions related to a debt based upon a classified condition provided by the condition classifying circuit, wherein the automated debt management circuit is trained on the training set of debt management activities collected by the data collection circuit;
• wherein, responsive to the at least one condition classified by the condition classifying circuit, the automated debt management circuit automatically initiates or performs at least one of offering a debt transaction, underwriting a debt transaction, setting an interest rate, deferring a payment requirement, modifying an interest rate, validating title, managing inspection, recording a change in title, assessing a value of an asset, calling a loan, closing a transaction, setting terms and conditions for a transaction, providing notices required to be provided, foreclosing on a set of assets, modifying terms and conditions, setting a rating for an entity, syndicating debt, or consolidating debt.