RingCentral is showcasing how established technology companies can embed AI directly into the way teams build, operate, and collaborate. By using ChatGPT Work and Codex, the company is accelerating AI product development while improving how engineering and operations teams access shared intelligence.
AI becomes part of the operating system for work
The positive shift is not just about adding another productivity tool. RingCentral is using AI to help centralize operational knowledge, streamline engineering workflows, and make critical information easier for teams to find and act on.
For product and engineering organizations, tools like Codex can help reduce friction in development, support faster iteration, and free teams to focus on higher-value design and problem-solving. Meanwhile, ChatGPT Work can serve as a connective layer across internal knowledge and operational processes.
A practical enterprise AI win
This is a meaningful example of AI adoption inside a real-world business environment. Rather than treating AI as a side experiment, RingCentral is moving toward AI-native work across core functions—showing how companies can use generative AI to build faster, coordinate better, and operate with more intelligence.