Finastra has introduced an AI tool aimed at speeding up how banks investigate and resolve payment errors.

The solution, called OperatorAssist, is available as an additional capability within the company’s payment hub user interface.

It is designed to reduce errors, speed exception handling and lower operational costs across the payments lifecycle.

Payment errors and inefficient exception handling remain among the most time consuming and costly challenges in payments operations.

OperatorAssist aims to address these issues by automating analysis, recommending fixes and guiding users through resolution while reducing reliance on manual tracking and reporting.

Finastra said early results indicate the technology could deliver potential efficiency gains of more than 20 percent by reducing the time required to handle payment investigations.

Barry Rodrigues, EVP, Payments at Finastra, said,

“By combining AI with a cloud-native, ISO 20022-native platform, we’re removing friction from daily operations and empowering institutions with faster, smarter ways to resolve issues.

Delivering speed, accuracy, and superior customer experience, this isn’t just an incremental improvement but a step-change in how payments teams work.”

According to the company, the technology can reduce manual investigation time by between 20 and 30 percent, saving operators more than 1.5 hours per day.

According to the company, the technology can reduce manual investigation time by between 20 and 30 percent, saving operators more than 1.5 hours per day.

OperatorAssist is available to users of Global PAYplus and Payments To Go, extending Finastra’s cloud native payments infrastructure with optional AI functionality aimed at improving operational efficiency and

Featured image: Edited by Fintech News Singapore, based on image by farknot via Freepik