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As organisations modernise legacy systems for cloud and AI readiness, traditional approaches to code reengineering and manual testing often create bottlenecks, limit scalability, and increase the risk of defects. This is not due to AI integration itself, but rather the absence of automation-particularly in testing-which becomes a key constraint during AI readiness efforts.
This webinar offers a practitioner’s perspective on how AI-enabled automation can transform both code modernisation and testing workflows for greater speed, reliability, and scalability.
In this session, we’ll delve into a systematic modernisation framework-covering static and dynamic analysis of monolithic codebases, decomposition into modular services, and refactoring strategies that preserve core business logic while ensuring functional equivalence. We’ll also demonstrate how performance and functional benchmarks are embedded throughout the pipeline to validate the accuracy and impact of transformation at every stage.
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