NTT DATA ускорила разбор инцидентов до 30 минут с ChatGPT Enterprise и Codex

NTT DATA Group has deployed ChatGPT Enterprise and Codex from OpenAI for 9000 employees and cut IT incident analysis time to 30 minutes — according to a corporate case study published by OpenAI in 2026.

What NTT DATA Deployed

NTT DATA Group has rolled out two OpenAI products: ChatGPT Enterprise for everyday work tasks and Codex — for working with code and resolving technical failures. Access was granted to 9000 employees of the global IT integrator, part of Japan's NTT group.

• 9000 employees gained access to ChatGPT Enterprise
• Codex is used for working with code and analyzing incidents
• IT incident analysis time has been cut to 30 minutes
• The stated goal is safe scaling of AI across the group

ChatGPT Enterprise is OpenAI's enterprise version of its chatbot with enhanced data protection: the company does not use customers' business correspondence to train its models. Codex is OpenAI's programming tool that reads a codebase, suggests fixes, and carries out engineering tasks based on a text description.

Why Incident Analysis Got Faster

IT incident analysis at NTT DATA now takes about 30 minutes, because Codex and ChatGPT take on the routine part of the investigation: finding the cause of a failure, reading logs and code, and drafting a solution. Previously, the same work required significantly more time and manual effort from engineers.

Incident analysis is one of the most labor-intensive tasks at a service IT company: when a client's system goes down, engineers manually cross-reference symptoms, change history, and logs to find the root of the problem. NTT DATA presents the "30 minutes per incident" figure as the key result of the rollout: the faster the cause of a failure is found, the shorter the client's system downtime.

How AI Is Being Scaled Safely

NTT DATA is betting on the safe rollout of AI across 9000 employees at once, rather than on isolated pilots. The choice of ChatGPT Enterprise is explained precisely by data protection requirements: the enterprise tier isolates work data and gives administrators control over employee access.

"NTT DATA

Group uses ChatGPT Enterprise and Codex to help 9000 employees automate work, cut incident analysis to 30 minutes, and safely scale AI adoption," the OpenAI corporate case study states.

For a global integrator, the scale of rollout matters more than any single feature. A tool used by thousands of engineers changes the processes themselves, not just the speed of individual tasks. The NTT DATA case adds to OpenAI's section of customer stories, where the company gathers examples of enterprise use of ChatGPT and Codex.

What This Means

The NTT DATA case is a signal that large IT integrators are moving from AI experiments to mass adoption in core processes such as incident analysis. The "30 minutes per incident" metric shows that the value of enterprise AI is measured not by hype, but by a concrete reduction in operational time across 9000 jobs.