Bank of America Introduces AI Assistant for Global Payments

Oct 6, 2025
Bank of America has launched AskGPS, a generative AI assistant designed to enhance its Global Payments Solutions team, as announced in a press release. The tool aims to improve efficiency and client service by providing real-time answers to complex inquiries.

Bank of America has launched a new generative AI assistant called AskGPS to enhance its Global Payments Solutions (GPS) team, announced in a press release. The AI tool is designed to serve over 40,000 business clients worldwide by providing real-time answers to complex client inquiries, potentially saving tens of thousands of employee hours annually.

AskGPS was developed in-house and trained on more than 3,200 internal documents, including product guides and FAQs. This allows employees to quickly access information that previously required extensive time and effort, including phone calls to specialists across different regions and time zones.

The AI assistant aims to deliver faster turnaround on product and onboarding inquiries, offer more tailored solutions, and enhance strategic guidance. By leveraging AI, Bank of America seeks to transform static content into dynamic intelligence, thereby improving how teams learn and respond to client needs.

Bank of America continues to integrate AI across its operations, complementing existing solutions like CashPro Chat and CashPro Forecasting, which use AI for real-time account support and predictive analytics, respectively.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI in Finance AI Brief AI Brief (X)
Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.