Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications

The rise of generative AI promised a silver bullet, but for most enterprises, especially banks, digital transformation remains a slow, complex, and costly endeavor. Early reports suggested massive developer productivity gains. But when AI is applied to complex enterprise systems, organizations often collide with what we call the AI productivity paradox.According to a Stanford software engineering productivity study, generative AI delivers 30-40% productivity gains in greenfield (start from scratch) projects, but its effectiveness drops to 15-20% for low-complexity brownfield (existing) legacy