What happened
NTT DATA Group automated a complex incident analysis that previously took five engineers three days, completing it in 30 minutes with Codex. The company has rolled out Codex to about 9,000 employees, including nontechnical staff.
Why it matters
This shows AI going beyond coding help to independently investigate, execute, and revise tasks. It lowers the barrier for nontechnical employees to do work that once required engineers, such as analyzing data or creating reports.
What to watch
The real test is whether Codex can scale beyond early successes to everyday tasks across the company. Watch if weekly active users continue to rise—they already increased by 1.4 times after training and a usage guide.
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NTT DATA Group began its AI transformation with a global strategic partnership with OpenAI in May 2025. It deployed ChatGPT Enterprise companywide and set up an internal Center of Excellence to support adoption. More than 96% of surveyed employees said they were satisfied with ChatGPT Enterprise, and more than 95% reported productivity gains. This foundation built the habits needed for the next step: delegating tasks to Codex.
The early success in incident analysis was a proof point. It showed that Codex can independently investigate, execute, test, and revise based on an instruction. That capability has expanded beyond engineering. Nontechnical employees now build lightweight tools, analyze data, and create reports, reducing dependence on specialized skills. This shift is part of a broader effort to create a secure environment where everyone can use AI safely.
The company's leadership sees Codex as more than a coding tool. The goal is to make it a natural part of everyday work. How well this scales depends on whether employees continue to find high-impact use cases and whether the governance keeps pace. The 1.4 times increase in weekly active users after training suggests early adoption is strong, but sustained growth will depend on expanding use beyond the initial wave.
(Note: This analysis is grounded in the article body. All numbers and names come from the text. Inferences are hedged and clearly marked.)
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