This paper explains how Brillio uses Microsoft Azure GenAI, combining Azure OpenAI and cognitive services, to reduce the complexity and risk of legacy application modernization, especially when documentation is weak and teams face integration, security, regulatory, and skills challenges. It outlines GenAI use cases across the modernization lifecycle, including automated documentation generation, code analysis and rewriting, knowledge transfer for onboarding, automated testing and validation, continuous optimization, legacy-to-modern code conversion (for example COBOL/VB to Python/Java/C#), and decision support using signals from repositories, issue trackers, and user feedback. It also stresses responsible adoption through bias and security controls plus ongoing human oversight, and claims

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