Over a hundred thousand Oracle employees are now using ChatGPT Work and Codex, from talent acquisition to the Oracle Applications Lab and the IT organization. In each case, work that once relied on specialists and took days can be done by anyone in minutes. Recruiters skip days of market research, business users describe an outcome instead of hunting for a report, and technical leads build tools that once took a full team months.
The talent acquisition team used ChatGPT Work to build a talent market intelligence tool that takes a job description, researches comparable roles, benchmarks compensation, and assesses the talent pool across relevant locations. The information previously took 2–4 days to compile. "We've gone from zero to a hundred," says Jan Ackerman, Senior Vice President and Global Head of Talent Acquisition at Oracle. "Now we're able to sit down and prep for about 15 to 20 minutes." The process is also more consistent, so every hiring manager receives the same quality of data and insights.
The Oracle Applications Lab, which helps run many of Oracle's core business processes, built an ontology of the company's objects, relationships, and rules. A plain-language business question can now be turned into a reliable SQL query with Codex, which decides which internal systems to call and returns an analysis, report, or application. In production engineering, site reliability engineers use Codex to gather incident context and pull up the right playbook. Richard Lam, Group Vice President at the Oracle Applications Lab, says "a typical simple incident that used to take an an hour to resolve can now be handled in minutes."
Lam stresses that none of this runs on autopilot. Teams must still set guardrails for system design, architecture, and security, and they must own the code. Barry Shilmover, Vice President and Technical Advisor to the CIO, says he now builds prototypes rather than writing specs.
Source: OpenAI Blog · Summarized by HeadlinesBriefing