Overview

Legacy application modernization is a strategic priority for enterprises, yet many initiatives struggle to gain momentum because the assessment phase is often manual, fragmented and slow. Traditional approaches rely heavily on stakeholder interviews, workshops, spreadsheets, static scans and lengthy questionnaires that often fail to capture the true complexity of legacy systems.

In the era of agents, OpenAI Codex agents are transforming how organizations approach application assessment and modernization. Codex can read and understand complex or legacy codebases, help teams reason about system structure and support modernization activities such as code understanding, refactoring and review. With access to source code and the right project context, teams can use Codex to generate practical engineering artifacts such as module summaries, API inventories, draft documentation, modernization recommendations and other developer-friendly outputs that accelerate decision-making.

This whitepaper explores how enterprises can move beyond manual assessments and adopt a more intelligent, scalable and insight-driven framework for modernization with OpenAI Codex. Download the whitepaper to learn how agent-led assessments can help accelerate decision-making, improve visibility into legacy systems and build a stronger foundation for modernization.