How RingCentral builds AI-native work from engineering to ops

With nearly three decades of innovation in business communications, RingCentral has grown into a global company generating more than $2.6 billion in annual revenue, with thousands of employees worldwide. Today, the company is extending its tradition of innovation by embracing AI-native ways of working. By giving every employee room to experiment with ChatGPT Work and Codex, RingCentral has ensured that anyone at the company, regardless of engineering experience, can build transformative products and infrastructure.

“When you put real AI tools in everyone’s hands, the whole company becomes a product organization. Every one of our products—including but not limited to our Agentic Voice AI portfolio of AIR, AVA, ACE—gets sharper as we compress the distance between an idea and a shipped feature, and that’s exactly what AI-native development lets us do.”

—Kira Makagon, President & Chief Operating Officer, RingCentral

The AI-Native Challenge

More than a coding exercise, the challenge immersed employees in the full AI-native development lifecycle, from planning and implementation to testing, documentation, CI/CD, and iteration. Nearly every participant created a working repository, and thousands of employees, including non-technical staff and even executives, delivered functioning projects.

For RingCentral, the challenge is a working model of a broader strategy: using AI internally to build products faster for their customers. The company applies the same Codex-enabled approach to accelerate development of its own AI-powered product portfolio—RingCentral AI Receptionist (AIR), AI Virtual Assistant (AVA), and AI Conversation Expert (ACE)—shortening the distance between an idea and a shipped customer feature.

—Engineering leader at RingCentral who spearheaded the project

Running daily PMO operations with ChatGPT Work

“ChatGPT brings my project context together. With ChatGPT Work, I can turn that context into actions and execution.”