Skip to content
context Tools and apps

RingCentral deployed ChatGPT Work and Codex for engineering and operations

only one source so far

According to OpenAI, RingCentral uses ChatGPT Work and Codex to accelerate AI product development and consolidate operational data across engineering and operations.

According to OpenAI, RingCentral uses ChatGPT Work for so-called AI-native work and the Codex tool for programming-related tasks across both engineering and operations. According to OpenAI, the aim is to accelerate AI product development and centralize operational data and insights (operational intelligence) in one place.

The source material is a brief case study published by OpenAI, describing the deployment of these tools at RingCentral as an example of business use. Details can be found in the source article.

What changed

Why it matters

The case shows how a company combines ChatGPT Work (general AI work) and Codex (programming tasks) within a single company deployment that connects engineering and operations teams. For other companies considering a similar step, it provides a concrete reference that can be compared with their own needs – however, the source provides no figures, costs or measurable results, so the actual benefit cannot be verified from the available information.

Relevant practical impact

What this means

01

For a business

According to OpenAI, RingCentral has deployed ChatGPT Work and Codex across engineering and operations, demonstrating a concrete business use of these tools to accelerate product development and consolidate operational data – relevant to companies considering a similar integration.

Development
What to decide Study the RingCentral case study as a reference when considering deploying ChatGPT Work and Codex for your own engineering and operations teams.
More business impacts →
ChatGPT Work Codex RingCentral

Check the original

Event sources

only one source so far · 1 publisher, 0 independent. We count feeds from the same owner only once.

1
OpenAI News primary source · first detected How RingCentral builds AI-native work from engineering to ops