NTT DATA Group cuts incident analysis to 30 minutes with Codex
NTT DATA Group has deployed ChatGPT Enterprise and expanded Codex to approximately 9,000 employees as part of its AI-driven transformation. The global IT services company established an internal OpenAI Center of Excellence to manage security, governance, and adoption. The tools have enabled significant productivity gains and reduced complex incident analysis times from three days to 30 minutes.
The Core Development
NTT DATA Group is a Japan based global IT services company spanning consulting, systems development, and operations. As AI reshapes the business environment, the company is evolving its growth model from expanding revenue by adding headcount to creating greater value through AI.
To support this transformation, NTT DATA Group rolled out ChatGPT Enterprise across the company and introduced programs that help employees make AI part of their daily work. Building on that foundation, the company has expanded Codex to approximately 9,000 employees. Teams across technical and nontechnical roles now use AI not only to explore ideas through conversation, but also to carry out clearly defined tasks.
After beginning a global strategic partnership with OpenAI in May 2025, NTT DATA Group moved to deploy ChatGPT Enterprise across the company. It established an internal OpenAI Center of Excellence, or CoE, to support adoption through license distribution, technical validation, events, use case development, usage monitoring, knowledge resources, and the systems employees need to get the most from AI.
Real-World Use Cases & Applications
“Codex has changed how people across the company think about AI,” says Hiroaki Sato of NTT DATA Group’s AI Technology Department. “The idea that AI can take the lead in carrying out work has had an impact similar to the arrival of ChatGPT.” Since that early success, teams across NTT DATA Group have continued to identify new use cases that draw on the distinctive capabilities of Codex.
With this foundation of security and governance in place, Codex adoption is moving beyond a small number of advanced use cases. Today, Codex is steadily becoming part of the daily work of approximately 9,000 employees.
Have the CoE identify and generalize high impact use cases, then share them as reusable best practices with appropriate safeguards
Deployment & Availability
Another important shift is that nontechnical employees can now complete work that once required support from engineers. Creating an analytical report, for example, previously required preparing data in a business intelligence tool and building a dashboard. With Codex, employees can analyze raw data directly and create the reports they need, improving efficiency while reducing dependence on specialized tools and skills.
Strategic Perspective & Ecosystem Impact
As a result, ChatGPT Enterprise has become one of the primary AI tools supporting daily work across NTT DATA Group. In an internal survey, more than 96% of respondents said they were satisfied with ChatGPT Enterprise, and more than 95% reported productivity gains.
Through everyday use, employees built experience working with AI for research, writing, and content creation. Those habits and skills prepared the organization for the next step: delegating clearly defined tasks to Codex.
One of the first successes to demonstrate the potential of Codex was the automation of a complex incident analysis for a critical system. The work had previously required five experienced engineers and taken three days to complete. With Codex, the full process was completed in 30 minutes.
Why it matters
The deployment demonstrates how major IT enterprises can scale agentic AI tools like Codex beyond software development to nontechnical workers while maintaining strict governance. It highlights real-world productivity metrics and operational efficiencies achieved through strategic partnerships with OpenAI.