AI Modernization Toolkit initiatives are rapidly reshaping how organizations move from outdated legacy systems to modern, scalable, cloud-ready architectural solutions. As businesses grow more digitally dependent, the pressure to modernize critical systems increases dramatically. Many organizations across industries still rely on technologies built decades ago. While these systems often remain stable and deeply embedded in workflows, maintaining them, extending their capabilities or integrating them with modern applications has become increasingly challenging. Migrating legacy code is a major undertaking that historically required extensive time, large development teams and substantial financial investment. The risks include operational downtime, regression defects, architectural misalignment and unexpected integration failures.