Systems and methods for mobile enrollment in automated clearing house (ACH) transactions using mobile-captured images of financial documents are provided. Applications running on a mobile device provide for the capture and processing of images of documents needed for enrollment in an ACH transaction, such as a blank check, remittance statement and driver's license. Data from the mobile-captured images that is needed for enrolling in ACH transactions is extracted from the processed images, such as a user's name, address, bank account number and bank routing number. The user can edit the extracted data, select the type of document that is being captured, authorize the creation of an ACH transaction and select an originator of the ACH transaction. The extracted data and originator information is transmitted to a remote server along with the user's authorization so the ACH transaction can be setup between the originator's and receiver's bank accounts.

A computer-implemented system and method for performing social network secure transactions is provided. A message with a hashtag associated with a recipient of payment and payment information including at least a payment source for a payment from a payor to a recipient is received. The message is intercepted from the social network platform for transfer to a separate payment platform. The payment information of the payor is validated and the recipient associated with the hashtag is identified using the list of recipients. The payment information is processed on behalf of the recipient associated with the hashtag using the payment source in the message from the payor.

Systems and methods for securely generating and printing documents are disclosed. For example, processor(s) of a computer system may receive information for the document from a computing device through a network, verify the information for the document, and upon verification, generate document generation data using at least a portion of the information for the document. The document generation data may include document metadata that enables generation of an image of the document and/or the image of the document. Upon the processor(s) verifying first authentication information of a first code associated with a printing device received from the computing device through the network and second authentication information of a second code associated with the computing device received from the printing device through the network, the processor(s) may transmit the document generation data to the printing device through the network, and cause the printing device to print the image of the document.

To use letters of credit (LCs) as UMR collateral, LC data structures need to continuously reallocate undrawn LC stated amounts amongst Counterparties in real-time. The disclosed automated agent software modules perform these allocations and re-allocations without the need for LC amendments and under UMR Custodian control. Each LC can be credited to the Counterparty's account and digital tokens can be specified in the LC data structure and provided to the UMR Custodian for allocation as documentary conditions for LC payment. The LC stated amount honored must match the digital tokens allocated and not already used for payment. Individual or Joint Beneficiary LC stated amounts represent potential maximum LC capacity and whatever digital tokens held in an account represent the available capacity for draw. The digital tokens are deactivated or dereferenced from the LC data structure after payment, ensuring that a demand for payment can never exceed the available payment capacity.

A technique for remote access via a computing device is discussed. In one embodiment, a computing device receives data indicative of a card number associated with a bank-issued debit card. The debit card is associated with a bank account at a bank that issued the bank-issued debit card. The computing device also receives data indicative of an amount of cash to be deposited into the account based on an amount of cash provided at the computing device location. Encrypted data indicative of the card number and the data indicative of the amount of cash is routed to a gateway vendor server and is further routed to a payment network server for deposit of an amount corresponding to the data indicative of the amount of cash into the bank account associated with the card number.

Real-time evaluation and enhancement of image quality prior to capturing an image of a document on a mobile device is provided. An image capture process is initiated on a mobile device during which a user of the mobile device prepares to capture the image of the document, utilizing hardware and software on the mobile device to measure and achieve optimal parameters for image capture. Feedback may be provided to a user of the mobile device to instruct the user on how to manually optimize certain parameters relating to image quality, such as the angle, motion and distance of the mobile device from the document. When the optimal parameters for image capture of the document are achieved, at least one image of the document is automatically captured by the mobile device.

Systems and methods of the present disclosure include processors configured to perform steps to receive a tag data from a contactless communication tag, execute an applet associated with the contactless communication tag, and receive document data associated with an applet-linked document, including a document identifier, a document content data, a document recipient identifier, and a document sender identifier. The processors are configured to further generate an account link linking the document data to a user account associated with the document sender, generate a document entry in the user account based on the account link, generate a webpage from the applet to record the document data such that the document data is accessible upon subsequent reception of the contactless radio signal data, and display the document data and a current status of the applet-linked document on a display of the computing device associated with the contactless reader.

Systems, computer program products, and methods are described herein for the generation of an interface for upload and remote acceptance of a data file. The present invention may be configured to receive a request from a user to transfer resources associated with a document and certain user information from the user device. The document and/or the user may be associated with a supporting document. The present invention may be further configured to generate an interface comprising a triggered prompt for resource information, a triggered prompt for one or more data files containing the document, and a triggered prompt for one or more data files containing the supporting document. The present invention may be further configured to generate a request folder associated with the request. The request folder may contain the resource information, user information, the data files associated containing the document, and the data files containing the supporting document.

Aspects of the disclosure relate to performing enhanced exception processing using cognitive automation tools. In some embodiments, a computing platform may receive interaction data identifying one or more actions performed by one or more users in resolving a plurality of exception items associated with an exception queue. Subsequently, the computing platform may train, using a learning engine, a machine learning model to resolve a first exception and a second exception of one or more exceptions based on the interaction data. Based on training the machine learning model, the computing platform may generate one or more configuration commands directing a processing module to implement the machine learning model to process additional exception items associated with the exception queue. The computing platform then may send the one or more configuration commands to the processing module.

Systems and methods, and computer readable media for image transaction processing are disclosed. The method receives an input of images of documents. The method may then analyze the input using an image processing engine to determine attributes associated with the images of the documents and identify an account linked to the attributes and a transaction associated with the account. The method may also evaluate confidence level of association links between the transaction and the account based on confidence scores of the attributes that may identify a type of the attribute. The method may use the transaction and account to split the images of documents into sets of images of documents with each set of images with confidence level of an association link between the transaction and the account associated with them being greater than a threshold value.