Finastra is advancing payment operations automation with a new AI-driven solution designed to reduce the complexity of payment investigations. The move reflects a broader shift toward embedding intelligence directly into core banking workflows to improve efficiency and reduce operational costs.
Finastra has launched a new artificial intelligence-powered solution designed to help banks identify and resolve payment errors more efficiently.
The tool, called OperatorAssist, has been introduced as an additional capability within Finastra’s payments hub user interface. It is designed to streamline payment investigation processes by automating analysis, recommending corrective actions and guiding operations teams through the resolution process.
Payment investigations and exception handling remain among the most resource-intensive challenges for financial institutions, often requiring significant manual effort and operational oversight. The new AI-powered solution aims to reduce this complexity by minimizing manual tracking and reporting while helping banks address payment issues more quickly.
By integrating automation and AI-driven insights into the payment operations workflow, the system can help institutions improve operational efficiency and reduce the time required to investigate payment errors.
Finastra indicated that early deployments suggest the technology could deliver efficiency improvements of more than 20 percent by accelerating the investigation process and reducing operational bottlenecks across the payments lifecycle.
The solution is built to operate within a cloud-based, ISO 20022-compatible payments environment, enabling financial institutions to manage payment investigations more effectively while supporting modern payment infrastructure.
According to the company, the technology has the potential to reduce manual investigation time by between 20 and 30 percent, allowing payment operations teams to save significant time each day and focus on higher-value activities.
What this means for the industry
• AI is transforming back-office payment operations
Automation is reducing the manual workload associated with investigations and exception handling.
• Operational efficiency is becoming a key competitive factor
Banks are increasingly investing in tools that streamline processes and lower operational costs.
• Real-time insights are improving issue resolution
AI-driven recommendations enable faster and more accurate responses to payment errors.
• Modern payment infrastructure is enabling smarter workflows
Cloud-based and ISO 20022-compatible systems are supporting advanced automation capabilities.
• Staff roles are shifting toward higher-value activities
As routine tasks become automated, operations teams can focus on analysis and decision-making.
