Bank of America Corporation

Jennifer Ann Raley

Carl Parziale

Matthew Edward Williams

David J Smiddy

Eric Dryer

Paul Martin Mattison, Sr

Jeffrey R Goertz

Anne Price

Michael Matthew Wisser

Douglas Scott Wilson

Gary L Best, Jr

Edwin Andrew Wegleitner

Pavan Singaraju

Brandon Kozlowski

Colleen Marie Powers

Paul Mattison

Aspects of the disclosure relate to cash handling devices that provide intelligent monitoring and management of cash cycles. A cash handling device having at least one processor, a communication interface, and memory may receive, from a mobile device, a request to process a pre-staged transaction. Subsequently, the cash handling device may generate and present a graphical identifier based on the mobile device requesting access to the cash handling device. Next, the cash handling device may verify that the mobile device is authorized to perform the pre-staged transaction based on the graphical identifier being scanned by the mobile device and cause a connection to be established between the cash handling device and the mobile device. Thereafter, the cash handling device may identify and process the pre-staged transaction associated with the mobile device. Then, the cash handling device may generate a notification indicating completed processing of the identified pre-staged transaction.

Intelligent cash handling

Arrangements for using generative artificial intelligence models for ATM operations control are provided. In some examples, a computing platform may receive, from a plurality of ATMs, operation data. The operation data may be analyzed using a first generative artificial intelligence (AI) model to identify one or more potential issues. If an issue is identified, additional data related to the issue may be retrieved from an impacted ATM. A second generative AI model associated with the particular identified issue may be identified. The model may be executed using the additional data as inputs to identify or output a corrective action. The corrective action may be transmitted to the ATM for execution. The one or more generative AI models may be updated to continuously improve accuracy.

Generative artifical intelligence-based automated teller machine operation control

Arrangements for using generative artificial intelligence models for ATM process generation are provided. In some examples, a computing platform may receive, from at least one image or measurement capture device, dimension data associated with an ATM. The ATM may have a plurality of components arranged on a face of the ATM. The dimension data may be input to a generative artificial intelligence model and the model may be executed to output, based on the dimension data, a position or location of each ATM component relative to a reference point on the ATM. In some examples, the model may further output at least one audio script describing the location of each component. The model may output one or more translations of the at least one audio script. The computing platform may transmit or send the at least one audio script to the ATM for presentation during user interaction with the ATM.

Generative artificial intelligence-based automated teller machine process generation

A system for performing secure maintenance on automated machines may include a maintenance management apparatus and an automated machine. The maintenance management apparatus is configured for scheduling the maintenance appointment for the automated machine, in response to scheduling the maintenance appointment and creating and communicating a maintenance security code to the automated machine. The automated machine is configured for receiving a request from a maintenance provider to initiate the maintenance appointment, validating the maintenance provider using the maintenance security code and providing access to a secure item storage unit, determining that the maintenance provider has completed the maintenance appointment, and communicating information associated with the maintenance appointment to the maintenance management apparatus and/or a computing device of the maintenance provider.

Performing secure maintenance processing on an automated machine

Automated machine with self-reconciliation of resources

Tracking and processing of resources associated with an automated machine for reconciliation

Remote maintenance initiation and communication for an automated machine

Growing community of inventors

Charlotte, NC, United States of America

Jennifer Ann Raley