Bank of America Corporation

David Jacob Feezor

Kerry Michelle Cantley

Geoffrey Reed Williams

Shawn Cart Gunsolley

Carl Parziale

Jeffrey R Goertz

Erin Cassell

Deborah A Copes

Emily Brooke Gillespie

Stuart Cameron Jones

A system for resolving item-processing exceptions typically includes a processor, a memory, and an exception resolution module stored in the memory. The exception resolution module is typically configured for: receiving an item-processing exception; determining a source of the item-processing exception; based on the source of the item-processing exception, identifying a defined exception resolution process; based on the defined exception resolution process, creating and configuring a pipeline context for resolving the item-processing exception, the pipeline context including the defined exception resolution process; storing the pipeline context in a pipeline database; adding the pipeline context to a pipeline queue; selecting, via a pipeline manager service, the pipeline context from the pipeline queue; and executing, via a worker thread, the pipeline context by executing the defined exception resolution process.

Item processing exception configurable pipeline

Embodiments of the invention include systems, methods, and computer-program products for archive validation and retention parameter determination for documents. The system may generate or receive image documents. Utilizing image quality and data storage metrics the system may trigger the purging and/or retention of documents in image and/or paper form. Furthermore, the system may identify a duration of storage, location of storage, and the like. Upon retention, the system may continually monitor the documents and store metadata associated with the use of the retained documents. This monitoring may identify a period for purging the document, efficiently allowing for physical or server space availability.

Archive validation system with data purge triggering

Embodiments of the invention include systems, methods, and computer-program products for a feedback loop for enhancing archive validation and retention parameter determination for documents. The system may generate or receive image documents. Utilizing image quality and data storage metrics the system may trigger the purging and/or retention of documents in image and/or paper form. Upon retention, the system may continually monitor the documents and store metadata associated with the use of the retained documents. Once the documents are purged, the system compiles historic data points associated with the image quality and data storage metrics. Furthermore, the system extracts the metadata associated with the monitoring of retained documents. These data points and metadata are reviewed to provide revisions in retention parameters for specific documents. A feedback loop directly communicates and integrates the revisions to the metric and criteria for instant integration.

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Charlotte, NC, United States of America

David Jacob Feezor