How to Cut Your Modernization Timeline by 50% Using AI-Driven Tools
Enterprises today cannot afford to wait years to move off legacy software. The pace of digital competition demands continuous innovation, but outdated systems act as anchors, consuming up to 80% of IT budgets just for maintenance. These systems are bottlenecks for scaling, security, and deploying modern features.
Modernization—the process of transforming these legacy applications into flexible, cloud-native architectures—is a strategic necessity. However, the projects are complex, often involving millions of lines of proprietary code.The manual labor required for tasks like translating code, generating comprehensive test suites, and creating documentation is massive, resulting in project timelines that can stretch to three to five years.
This reality has changed. The mature application of Artificial Intelligence —specifically Generative AI and Machine Learning — is redefining what is possible.These tools tackle the most tedious, time-consuming parts of the migration process. By automating code translation, test generation, and documentation, AI-driven tools offer a tangible path to cut modernization timelines by 50% or more, moving the discussion from “if” we can modernize to “how fast” we can achieve it.
