NTT DATA Slashes Incident Analysis to 30 Min with Codex

NTT DATA Group, a global IT giant, has waded into the swamp of incident management and emerged with a sleek new workflow. By deploying ChatGPT Enterprise and Codex across 9,000 employees, they’ve cut incident analysis from hours down to just 30 minutes. That’s like a capybara gliding through a channel while caimans are still stuck in the mud.

How They Did It

The team integrated Codex into their existing tools to automate repetitive tasks and accelerate root cause analysis. Instead of manually sifting through logs, developers now ask natural-language questions and get actionable insights in minutes.

• Automated triage: Codex classifies incidents and suggests fixes based on historical data.
• Natural-language queries: Engineers can ask “What caused the spike in latency at 3 PM?” and get a concise answer.
• Secure scaling: NTT DATA built guardrails to ensure AI adoption doesn’t compromise security—a common worry when letting AI into the swamp.

Why It Matters

For developers, this means less time wrestling with logs and more time building. NTT DATA’s approach shows that even large enterprises can move fast without getting bogged down. If you’re looking to streamline your own incident response, consider tools like Cloudflare Workers for serverless compute or Neon Database for scalable storage—both can help you keep your swamp clean.

As for NTT DATA, they’re proving that with the right AI co-pilot, you can navigate the murkiest waters in half the time. Now if only they could teach Codex to fetch coffee.

Original announcement published on OpenAI.