How AI-Powered Data Mapping Speeds Up ISO 20022 Migration for Banks

Data mapping sits at the heart of ISO 20022 migration. It's the process of determining how each field in a legacy payment message corresponds to its equivalent in the new standard. This sounds straightforward in theory. In practice, it becomes one of the most time-consuming, complex, and error-prone aspects of the entire migration journey. Banks that approached ISO 20022 migration with traditional mapping methods quickly discovered a sobering reality. What was estimated as a three-month effort extended to nine months or more. Accuracy rates hovered around 70-80%, requiring extensive rework. And edge cases—those unusual but valid message variations—continued to emerge well into production, causing operational disruptions and customer dissatisfaction. Forward-thinking institutions have found a better way. By applying artificial intelligence to the data mapping challenge, these banks have dramatically accelerated their migration timelines while improving accuracy and reducing operat...