Updated
Updated · OpenAI · Aug 12
RingCentral Deploys ChatGPT Work and Codex Across $2.6 Billion Business
Updated
Updated · OpenAI · Aug 12

RingCentral Deploys ChatGPT Work and Codex Across $2.6 Billion Business

3 articles · Updated · OpenAI · Aug 12

Summary

  • Thousands of RingCentral employees — including non-technical staff and executives — used ChatGPT Work and Codex to build end-to-end projects in an internal AI-Native Challenge.
  • Nearly every participant produced a working repository, as the exercise pushed teams through planning, coding, testing, documentation, CI/CD and iteration with no mandated workflow.
  • RingCentral says the same AI-native approach is speeding development of its AI products, including AI Receptionist, AI Virtual Assistant and AI Conversation Expert, by shortening the path from idea to shipped feature.
  • The rollout has spread beyond engineering: the PMO built ChatGPT Work workflows for status tracking, reporting, release governance and knowledge transfer, pulling data from Jira, Google Sheets and CRM systems.
  • For RingCentral, which generates more than $2.6 billion in annual revenue, the effort marks a broader shift toward using AI as internal operating infrastructure rather than a standalone coding tool.

Insights

How will RingCentral prevent the surge of AI-generated code from creating massive technical debt for its human reviewers?
Will RingCentral's internal AI efficiency boom translate directly into higher profit margins or just offset rising operational costs?
Can non-technical employees truly build secure enterprise workflows, or are these AI projects just fragile prototypes?