The data science team at a prominent Kenyan bank had created something remarkable. Their fraud detection model achieved 96% accuracy on historical transaction data, identifying patterns that human analysts missed entirely. The board approved a $2.5 million investment for full deployment. Eighteen months later, the system was flagging legitimate purchases as suspicious while missing obvious fraudulent transactions. Customer…