Systems and methods for prioritizing fraud cases using artificial intelligence

A method comprising:

• receiving, by a processing circuit of a provider computing system, a plurality of fraud cases, each fraud case associated with transaction data and having an initial priority score;
• determining, by the processing circuit, an updated priority score for each fraud case based on the transaction data and case prioritization data, the case prioritization data comprising a set of rules developed using a machine learning model;
• assigning, by the processing circuit, each fraud case to one of a plurality of queues, each fraud case assembled in a fraud case database;
• assigning, by the processing circuit, at least one fraud case to a fraud agent computing terminal associated with a fraud agent responsive to determining that its updated priority score is at or above a threshold, wherein assigning the at least one fraud case to the fraud agent computing terminal comprises moving the at least one fraud case to a cache;
• receiving, by the processing circuit, an input from the fraud agent computing terminal regarding a disposition of the at least one fraud case;
• and
• restructuring, by the processing circuit, the case prioritization data based on the input.

A non-transitory computer-readable media comprising instructions that when executed by a processing circuit comprising a processor and memory, cause the processing circuit to perform operations comprising:

• receiving a plurality of fraud cases, each fraud case associated with transaction data and having an initial priority score;
• determining an updated priority score for each fraud case based on the transaction data and case prioritization data, the case prioritization data comprising a set of rules developed using a machine learning model;
• assigning each fraud case to one of a plurality of queues, each fraud case assembled in a fraud case database;
• assigning at least one fraud case to a fraud agent computing terminal associated with a fraud agent responsive to determining that its updated priority score is at or above a threshold, wherein assigning the at least one fraud case to the fraud agent computing terminal comprises moving the at least one fraud case to a cache;
• receiving an input from the fraud agent computing terminal regarding a disposition of the at least one fraud case;
• and
• restructuring the case prioritization data based on the input.