Abstract: Detecting fraud in financial transactions. The systems and methods manage a fraud detection alert in a fraud queue; automatically locate the associated financial account data; display workflows on a graphical user interface; automatically navigate through workflows; ensure compliance with predetermined rules specific to a account-provider, business, or regulation; store all activity and data related to each fraud detection alert; and automatically update the fraud queue. The systems and methods include a fraud analyst workstation, a workflow engine, a host computer system, and a workflow database. The fraud analyst workstation communicates with the workflow engine, which stores and applies the predetermined rules. The workflow engine communicates with the host computer system to access the financial account data. The workflow engine communicates with a workflow database, which stores all activity and data related to each fraud detection alert for purposes of tracking, billing, and research.

Abstract: Automating a skip trace process for identifying contact information for account holders of financial accounts that cannot otherwise be reached. The systems and methods may include the ability to submit skip trace inquiries through a variety of platforms, including electronic mail, formatted file, or directly from a financial account processing system. The systems and methods interact with third party data sources, data aggregators, or data processors to identify potential contact information for the individual. The systems and methods incorporate automated contact campaigns to verify any possible contact information retrieved.

Abstract: Managing caselog fraud and chargeback. The systems and methods include the ability to manage a fraud case in a fraud queue; automatically locate the data associated with the fraud case; display workflows on a customized graphical user interface; automatically navigate through workflows that are based on predetermined rules specific to an account-provider, business, or regulation; store activity and data related to each fraud case; and automatically update the fraud queue. The systems and methods include a fraud analyst workstation, a workflow engine, a host computer system, and a workflow database. The fraud analyst workstation communicates with the workflow engine, which stores and the workflows. The workflow engine communicates with the host computer system to access data associated with the fraud case. The workflow engine communicates with a workflow database, which stores activity and data related to each fraud case for purposes of tracking, billing, and research.