NTT DATA Group has deployed ChatGPT Enterprise and Codex (OpenAI's AI tools) to 9,000 employees, cutting the time to analyze incidents down to 30 minutes and automating work across the organization. The rollout demonstrates how large enterprises are using enterprise-grade AI to speed up critical operational tasks while managing security and scale.
Summaries like this, in your inbox every morning.
Sign up free →What happened
NTT DATA Group deployed ChatGPT Enterprise and Codex across 9,000 employees to automate work processes and reduce the time needed to analyze incidents from a longer baseline to 30 minutes.
Why it matters
Faster incident analysis means NTT DATA's service teams can respond to problems more quickly, potentially reducing downtime for clients. The deployment across 9,000 staff signals that large enterprises are scaling AI tools for operational efficiency at meaningful scale.
What to watch
The company is using these tools to establish secure AI adoption practices—a model other enterprises may follow as they evaluate ChatGPT Enterprise for internal use.
NTT DATA Group, one of the world's largest IT services companies, has implemented ChatGPT Enterprise and Codex to support 9,000 employees in automating work and responding faster to operational incidents. The most tangible outcome is a reduction in incident analysis time to 30 minutes—a significant speedup from the baseline process. Incident analysis is a critical function in IT operations: when a system fails or behaves unexpectedly, technical teams must quickly diagnose the root cause, assess the scope of impact, and plan a fix. By leveraging ChatGPT Enterprise's natural-language reasoning and Codex's ability to generate and suggest code, NTT DATA has compressed this diagnostic phase, allowing teams to move to remediation faster. The deployment across 9,000 staff—a substantial portion of the organization—indicates that NTT DATA has moved beyond pilot projects into organization-wide adoption. The company's emphasis on secure AI adoption suggests it has built governance and risk-management structures around these tools, addressing concerns about data privacy, output quality, and audit trails that large enterprises must manage. This rollout serves as both an operational improvement for NTT DATA and a proof point for other global enterprises evaluating whether to adopt ChatGPT Enterprise at scale.
NTT DATA Group's adoption of ChatGPT Enterprise and Codex reflects a broader shift among large enterprises to embed AI tools into core operational workflows. Rather than treating AI as a standalone experiment, NTT DATA deployed these tools across a substantial workforce of 9,000 employees, suggesting confidence in their reliability and security posture. The specific focus on incident analysis—reducing it to 30 minutes—points to a real operational pain point: faster response to service disruptions directly improves customer experience and reduces business impact. By pairing ChatGPT Enterprise (a conversational AI for reasoning and analysis) with Codex (a code-generation tool), NTT DATA is automating both the diagnostic thinking and the technical remediation steps that incident response requires. This breadth of deployment also signals that the company is developing organizational practices for secure AI adoption at scale, a model other large enterprises may adopt as they evaluate how to safely integrate generative AI into production environments.
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytime
No comments yet. Be the first to share your thoughts!
Log in to join the discussion
Get curated AI news from 200+ sources delivered daily to your inbox. Free to use.
Get Started FreeFree · takes 30 seconds · unsubscribe anytime
1 minute a day. The AI essentials.
200+ sources · Email / LINE / Slack
