Abstract: A device receives a request for information regarding a debt resolution plan available for a delinquent account. The request includes a first input indicating a payment amount, a second input indicating a payment frequency, and a third input indicating a payment start date. The device obtains account data associated with the delinquent account and determines, using a first model, a score for the delinquent account based on the first input, the second input, the third input, and the account data. The device determines, using a second model, a plurality of debt resolution plan parameters for at least a first and a second debt resolution plan. The device transmits the plurality of debt resolution plan parameters associated with the first and second debt resolution plans, receives an enrollment request, enrolls the delinquent account in a selected debt resolution plan, and causes an action to be performed based on the enrolling.

Abstract: Methods, systems, and articles of manufacture consistent with embodiments of the present invention perform a fraud detection process that organizes collected documents into one of a set of categories based on selected variables and information included in the documents. Each category of documents has one or more category types, which in turn, are associated with at least one variable that is further associated with certain threshold limits. The fraud detection process identifies one or more category types that are indicative of fraud based on an analysis of threshold violations for each variable in each category type. Based on the results of the analysis, and possibly filtering logic, selected documents are extracted from the identified category types and targeted for fraud analysis that may include validating the information included in each extracted document.