What happened
RingCentral, a global business communications company with more than $2.6 billion in annual revenue, ran an AI-Native Challenge sponsored by its Office of the CEO. Every participant was given ChatGPT Work and Codex and asked to build a complete, end-to-end project with no mandated workflow.
Why it matters
The challenge is a working model of RingCentral's strategy to use AI internally to build products faster for customers. The same Codex-enabled approach is accelerating development of its AI-powered products—AIR, AVA, and ACE—and thousands of employees, including non-technical staff and executives, delivered functioning projects.
What to watch
The company's PMO has used ChatGPT Work to build an operating system for program management, automating status reporting and reducing manual coordination. Whether this AI-native approach becomes the operational backbone for other teams likely hinges on expanding it beyond the PMO.
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RingCentral's AI-Native Challenge illustrates a deliberate move to embed AI into its engineering culture. By giving every employee access to ChatGPT Work and Codex, the company aims to compress the distance between an idea and a shipped feature, a principle echoed by its President and COO. The challenge's outcome—that thousands of employees, including non-technical staff, delivered working projects—suggests that AI-native development can democratize product creation beyond engineering.
This approach extends to operations, where the PMO has replaced scattered notes with AI-powered workflows for status tracking and reporting. The result is that teams can walk into meetings with blockers and actions already defined, enabling them to handle more projects with greater accuracy.
The stakes for RingCentral hinge on whether this experiment scales into a sustained operational model. As the company continues to apply Codex to its own product portfolio, the test will be whether AI-native development consistently shortens delivery times without compromising quality—an outcome that likely depends on keeping humans in the loop for guidance and verification.
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