OpenAI's case study on Endava describes how the consulting firm is using Codex to reshape its software development process. The central claim is that Codex helps Endava move toward an 'agentic organization'—one where AI agents take on more of the work traditionally done by human teams. The most concrete metric cited is a dramatic reduction in requirements analysis, from weeks down to hours.
The study frames this as a shift in how Endava approaches delivery, with Codex handling tasks that previously required extended human effort. While the source does not provide technical details or independent benchmarks, it positions the tool as a key driver of faster turnaround. No other sources are available, so the article relies solely on OpenAI's account.
For readers, the takeaway is that Codex is being used not just for code generation but for earlier stages of the software lifecycle, such as interpreting and structuring requirements. Whether this generalizes beyond Endava's specific workflow remains an open question, but the reported time savings are striking if accurate.