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

Financial institutions have invested for years in developing AI models, such as fraud detection and credit scoring systems. However, isolated systems hinder a unified understanding of consumer financial behavior. According to NVIDIA's 2026 report, 65% of institutions utilize AI, indicating a significant opportunity to build intelligence using proprietary data. Leading companies face complex challenges due to fragmented architectural structures. Instead of relying on traditional machine learning algorithms, transformer-based foundation models are now employed, enabling a unified representation of consumer behavior.