Beyond individual adoption, we are seeing enterprises moving quickly to roll Codex into real workflows across engineering and beyond.

Companies are using Codex across the software development lifecycle. Virgin Atlantic is using it to increase test coverage and increase team velocity - reducing technical debt and improving performance. Ramp is using it to accelerate code review. Notion is using it to quickly build new features. Cisco is using it to understand and reason across large, interconnected repositories. Rakuten is using it for things like incident response. What starts with one team often expands quickly as leaders see the gains in speed, output, and leverage. Codex is also moving beyond coding⁠(opens in a new window), with support for tasks like browser-based work, image generation, memory, and ongoing work across tools and apps.

That momentum is starting to extend beyond engineering. Teams are using Codex to pull together context from different tools, reason through what matters, and turn scattered information into useful work - like briefs, plans, checklists, drafts, and follow-ups - and then take action. That creates a larger opportunity for enterprises to help every team move faster - not just the teams writing code.

Codex Labs brings OpenAI experts directly into organizations to help teams put Codex to work on real problems. Through hands-on workshops and working sessions, enterprise orgs learn where Codex fits, how to integrate it into existing workflows, and how to move from early usage to repeatable deployment. The goal is simple: help enterprises get real value from Codex, faster.