Bank of America Corporation

Cheryl Robinson

Terry L Lewis

Vijay B Akella

Christian P Selmi

Rick Forbis

Patricia A Stewart

James E Dunevant

Jennifer Ona

Dawn Patton

Greg Clark

Robin W Glowski

Nicholas G Hesse

Thomas A Wheeler

Dave Mauney

Mike Fabian

Matthew S Kukielski

David Divers

Keith Loving

Bryant Lee Osborn

Techniques for supporting an automated clearing house system (ACH) for facilitating resolution of ACH transactions. When a transaction item is blocked for an account, the associated transaction is paused so that the transaction item can be presented to the client. When the indication from the client is indicative of accepting the transaction item, the transaction is allowed to process. When the indication is indicative of returning the transaction item, the transaction is stopped and the transaction item is returned. On-line authorization maintenance information may be received from the client so that transaction items can be processed based on the on-line authorization maintenance information, which may be used edit a current authorization entry or to create a new authorization entry for a trading partner. A decision to approve a blocked transaction item may be decided by an employee of a client. However, approval may further require approval by a second employee.

System supporting automated clearing house (ACH) features

Embodiments of the present invention provide apparatuses and methods for a capacity model run-time estimator that determines the transactional capacity of an application. The capacity model run-time estimator is based on a model that includes at least one job with various steps within a run-time window. One or more windows make up shifts and one or more shifts make up a day. Historical data is used to estimate various run-times for each of the steps in a window. If the steps are dependent on transaction characteristics a statistical analysis is used to determine a run-time window estimator model that is dependent on the transaction characteristics. Constraints are placed on the run-time and transaction capacity of the windows, intra-windows, and shifts. The capacity model uses the run-time window estimators and constraints to determine the transaction capacity for an application across various periods and compares the results to forecasted capacity.

Capacity modeling system

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Doraville, GA, United States of America

Cheryl Robinson