Abstract: Embodiments of the invention include systems, methods, and computer-program products for dynamic resource management for managing payment exception processing and maximize work flow. In this way, the system may lift data from financial documents received from sources to allow for exception processing. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stock, or misrepresentative checks that may result in a failure to match the check to an associated account for processing. As such, once an exception is identified during the processing the exception is directed to an appropriate resource for processing. The system monitors work flow nodes and resource experience to prevent bottlenecks or underutilization. Furthermore, the system employs awards and gamification models for exception processing.

Abstract: Embodiments of the invention include systems, methods, and computer-program products for dynamic resource management for managing payment exception processing and maximize work flow. In this way, the system may lift data from financial documents received from sources to allow for exception processing. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stock, or misrepresentative checks that may result in a failure to match the check to an associated account for processing. As such, once an exception is identified during the processing the exception is directed to an appropriate resource for processing. The system monitors work flow nodes and resource experience to prevent bottlenecks or underutilization. Furthermore, the system employs awards and gamification models for exception processing.

Abstract: Embodiments of the invention include systems, methods, and computer-program products for predictive determination and resolution of an exception located on a negotiable instrument. The exception may be an indicia that includes data related to the payor, payment accounts, or payee. An indicia may not be identified successfully and thus be queued for exception processing. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stock, or misrepresentative indicia points on a negotiable instrument that may result in a failure to match the check to an account for processing. Upon identifying an exception, the system retrieves historical transaction data associated with the resolved indicia. Subsequently, utilizing the resolved indicia, the system may determine a value for the exception identified based on the retrieved historical transaction data. Finally, the determined value may be stored with the negotiable instrument to complete the payment reconciliation process.

Abstract: Embodiments of the invention monitor node usage in a transaction processing system. Embodiments include accessing a dynamic mapping of transaction flow in the transaction processing system, the dynamic mapping including a plurality of transaction pathways interconnected by transaction nodes, wherein the transaction nodes represent an automated processing step or action taken by a manual station of the transaction processing system on transactions files that are received at the transaction nodes; wherein the transaction processing system processes a transaction file at a first node and stores information corresponding to the first node and the type of processing that occurred at the first node with the transaction file; determining that the transaction file was processed at the first node; accessing the transaction file to determine the type of processing that occurred at the first node; and performing an action related to the type of processing that occurred at the first node.

Abstract: Embodiments for extracting data for online account includes systems that receive at least one check images, apply one or more optical character recognition processes to at least a portion of the at least one check image, and convert image based data to text based data. The embodiments further identify check data in the text based data, identify online data from the check data, incorporate at least a portion of the online data into a portion of an online account, and provide the online account portion to a customer.

Abstract: Embodiments for extracting data for online account includes systems that receive at least one check images, apply one or more optical character recognition processes to at least a portion of the at least one check image, and convert image based data to text based data. The embodiments further identify check data in the text based data, identify online data from the check data, incorporate at least a portion of the online data into a portion of an online account, and provide the online account portion to a customer.

Abstract: Disclosed are systems, methods, and computer program products that provide for element level presentation of elements of a payment instrument for exceptions processing. More specifically, the invention involves identifying an exception element from an image of a financial document, determining the location of the exception element based on its coordinates within the image of the financial document, and providing a zoomed-in view of the exception element to the user along with information and resources to allow a user to conveniently conduct accurate analysis of the exception element. The system then receives a correct element from the user to replace the exception element, and then processes the financial document using the replaced correct element instead of the exception element.

Abstract: Embodiments of the invention include systems, methods, and computer-program products for lifting metadata from financial documents to allow for automated exception processing. As such, allowing for automated decisions for exception processing to systematically be resolved base on matches between lifted metadata. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stock, or misrepresentative checks that may result in a failure to match the check to an associated account for processing. As such, once an exception is identified during the processing the metadata lifted from the document with the exception may be utilized to search financial records at the financial institution to attempt to identify the correct version of the document. Subsequently, the system may correct the irregularity systematically and automatically.

Abstract: Embodiments of the invention include systems, methods, and computer-program products for lifting metadata from financial documents to allow for automated exception processing. As such, allowing for automated decisions for exception processing to systematically be resolved base on matches between lifted metadata. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stork, or misrepresentative checks that may result in a failure to match the check to an associated account for processing. As such, once an exception is identified during the processing the metadata lifted from the document with the exception may be utilized to search financial records at the financial institution to attempt to identify the correct version of the document. Subsequently, the system may correct the irregularity systematically and automatically.

Abstract: Embodiments of the invention include systems, methods, and computer-program products for ensuring payment instrument batch integrity. Embodiments determine an expected balance associated with a batch of payment instruments; determine an amount associated with each of the payment instruments in the batch; sum the amounts, resulting in a total balance; compare the total balance with the expected balance; determine that the total balance is not equal to the expected balance; in response to determining that the total balance is not equal to the expected balance, identify payee information extracted from at least one of the payment instruments; and use the identified payee information to determine an outlier payment instrument.

Abstract: Embodiments of the invention include systems, methods, and computer-program products for predictive determination and resolution of an exception located on a negotiable instrument. The exception may be an indicia that includes data related to the payor, payment accounts, or payee. An indicia may not be identified successfully and thus be queued for exception processing. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stock, or misrepresentative indicia points on a negotiable instrument that may result in a failure to match the check to an account for processing. Upon identifying an exception, the system retrieves historical transaction data associated with the resolved indicia. Subsequently, utilizing the resolved indicia, the system may determine a value for the exception identified based on the retrieved historical transaction data. Finally, the determined value may be stored with the negotiable instrument to complete the payment reconciliation process.

Abstract: Disclosed are systems, methods, and computer program products that provide for element level presentation of elements of a payment instrument for exceptions processing. More specifically, the invention involves identifying an exception element from an image of a financial document, determining the location of the exception element based on its coordinates within the image of the financial document, and providing a zoomed-in view of the exception element to the user along with information and resources to allow a user to conveniently conduct accurate analysis of the exception element. The system then receives a correct element from the user to replace the exception element, and then processes the financial document using the replaced correct element instead of the exception element.

Abstract: Embodiments of the invention monitor node usage in a transaction processing system. Embodiments include accessing a dynamic mapping of transaction flow in the transaction processing system, the dynamic mapping including a plurality of transaction pathways interconnected by transaction nodes, wherein the transaction nodes represent an automated processing step or action taken by a manual station of the transaction processing system on transactions files that are received at the transaction nodes; wherein the transaction processing system processes a transaction file at a first node and stores information corresponding to the first node and the type of processing that occurred at the first node with the transaction file; determining that the transaction file was processed at the first node; accessing the transaction file to determine the type of processing that occurred at the first node; and performing an action related to the type of processing that occurred at the first node.

Abstract: Disclosed are systems, methods, and computer program products that provide for element level confidence scoring of elements of a payment instrument for exceptions processing. More specifically, the invention involves receiving a threshold confidence score, identifying elements within an image of a financial document, determining a confidence score for each element, wherein the confidence score is based on a likelihood that the identified element is the correct alphanumeric character from the image of the financial document, determining that a first element has a confidence score below the threshold confidence score, and providing the first element to a user for exception element processing. The system then receives a correct element from the user to replace the first element, and then processes the financial document using the replaced element instead of the first element.

Abstract: Embodiments of the invention include systems, methods, and computer-program products for dynamic resource management for managing payment exception processing and maximize work flow. In this way, the system may lift data from financial documents received from sources to allow for exception processing. The exceptions may include one or more irregularities such as bad micro line reads, outdated check stock, or misrepresentative checks that may result in a failure to match the check to an associated account for processing. As such, once an exception is identified during the processing the exception is directed to an appropriate resource for processing. The system monitors work flow nodes and resource experience to prevent bottlenecks or underutilization. Furthermore, the system employs awards and gamification models for exception processing.

Abstract: Embodiments for extracting data for online account includes systems that receive at least one check images, apply one or more optical character recognition processes to at least a portion of the at least one check image, and convert image based data to text based data. The embodiments further identify check data in the text based data, identify online data from the check data, incorporate at least a portion of the online data into a portion of an online account, and provide the online account portion to a customer.

Abstract: Embodiments for extracting data for online account includes systems that receive at least one check images, apply one or more optical character recognition processes to at least a portion of the at least one check image, and convert image based data to text based data. The embodiments further identify check data in the text based data, identify online data from the check data, incorporate at least a portion of the online data into a portion of an online account, and provide the online account portion to a customer.

Abstract: Embodiments for extracting data for online account includes systems that receive at least one check images, apply one or more optical character recognition processes to at least a portion of the at least one check image, and convert image based data to text based data. The embodiments further identify check data in the text based data, identify online data from the check data, incorporate at least a portion of the online data into a portion of an online account, and provide the online account portion to a customer.

Abstract: Embodiments for identifying errors based on data extracted from financial record images includes systems that receive one or more financial record images from a user, apply an optical character recognition process to at least a portion of the one or more financial record images, and identify record data based on the applied optical character recognition process comprising at least a name of a party to the financial record. The systems further identify errors associated with the one or more financial record images based on the record data.

Abstract: Embodiments of the invention relate to systems, methods, and computer program products for extracting check data and using the check data for determining a disposition of a check. The system, method, and computer program product are configured to: a) receive an image of a check; b) apply an optical character recognition process to at least a portion of the image of the check; c) convert one or more image portions of the at least a portion of the image to text based data based at least partially on the application; d) identify a date of the check based on the text based data obtained from the one or more image portions; e) compare the date of the check to one or more authorization parameters; and f) provide a disposition of the check based on the comparison of the date of the check to the one or more authorization parameters.