Why Financial Institutions Are Converging on Transaction Foundation Models to Build Their Own Intelligence

Financial institutions have spent years building AI: fraud models, credit models, recommendation engines and risk systems. While this sprawl of task-specific models has been effective, it’s also constrained by siloed systems. Siloed systems prevent institutions from developing a unified understanding of consumers’ financial behavior.

Transaction foundation models can learn from patterns across many types of financial activity, rather than being trained for only one task such as fraud detection.