Realtime AI News
RingCentral builds an AI-native way of working with ChatGPT Work and Codex
OpenAI published a customer story showing how RingCentral uses ChatGPT Work and Codex to accelerate AI product development and centralize operational intelligence across engineering and operations. The case study illustrates how enterprise AI tools are moving from experiments into day-to-day workflows.

On August 12, OpenAI published a customer story describing how RingCentral, the unified communications provider, is building an AI-native way of working.
According to the case study, RingCentral uses ChatGPT Work and Codex to accelerate AI product development and centralize operational intelligence across engineering and operations. RingCentral is not only embedding AI into its products; it is also using AI tools to reshape how it builds and runs software.
The combination spans development and operations: Codex supports AI product development, while ChatGPT Work brings AI into the day-to-day collaboration of engineering and operations teams.
For OpenAI, the story is evidence that enterprise tools like ChatGPT Work and Codex are finding real traction beyond pilot projects. It shows how AI is threading through an entire company's development and operations chain rather than sitting in isolated experiments.
Why it matters: RingCentral is a well-known name in unified communications with a large enterprise customer base, so its adoption path offers a reference point for similar organizations and underscores the shift of AI tools from novelty to daily practice.
What to watch next: whether this tooling combination spreads to more enterprises, how AI-native workflows translate into measurable product velocity, and what RingCentral ships next in its own AI product line.
Why it matters
RingCentral's case shows ChatGPT Work and Codex moving beyond single-point tools into full engineering and operations workflows, offering a reference model for enterprise AI adoption.
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