Updated
Updated · OpenAI · Jul 22
NTT DATA Expands Codex to 9,000 Staff After Cutting Incident Analysis to 30 Minutes
Updated
Updated · OpenAI · Jul 22

NTT DATA Expands Codex to 9,000 Staff After Cutting Incident Analysis to 30 Minutes

1 articles · Updated · OpenAI · Jul 22

Summary

  • NTT DATA Group rolled out OpenAI’s Codex to about 9,000 employees after it completed a critical incident analysis in 30 minutes, down from three days of work by five experienced engineers.
  • That 99.3% time cut became an early proof point for broader use, showing Codex could investigate, execute, test and revise tasks rather than just assist with coding.
  • ChatGPT Enterprise adoption laid the groundwork: after a May 2025 OpenAI partnership, internal survey results showed more than 96% satisfaction and over 95% reporting productivity gains.
  • Codex use is now spreading beyond engineers to tasks such as file organization, Excel data analysis, document summarization and expense-form processing, reducing reliance on specialized technical support.
  • NTT DATA said security guidelines, governance rules and its internal AI center are central to making Codex part of daily work as it shifts growth from adding headcount to creating more value with AI.

Insights

How does NTT DATA prove its AI investment pays off beyond a few standout successes?
Why build a proprietary AI while also deploying solutions from both OpenAI and Google?
As AI agents handle expert tasks, what does the future career path for human employees look like?

Over 10,000 NTT DATA Staff Now Use Codex AI Tool, Revolutionizing Enterprise Operations

Overview

As of July 2026, over 10,000 NTT DATA staff are actively using Codex, the company’s proprietary internal AI tool. This widespread adoption has created a large, engaged AI community and fundamentally reshaped daily workflows. Codex empowers employees with advanced AI capabilities, transforming how complex tasks are handled—especially those that once required extensive time and expertise. For example, complex technical analysis that used to take two days can now be completed in just 30 minutes. This boost in productivity frees up valuable human capital, allowing staff to focus on more strategic and creative work.

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