RingCentral has shared the results of its AI-Native Challenge, a company-wide initiative in which thousands of employees, engineers, and non-engineers alike each built a complete software project from scratch using ChatGPT Work and Codex . Sponsored by the Office of the CEO, the challenge was open to the entire company and resulted in 2,500 completed projects in under 30 days .
RingCentral's AI-Native Challenge produced 2,500 completed software projects in under 30 days .
The initiative was open to all employees, not just engineering teams, using ChatGPT Work and Codex .
Participants worked through the full delivery lifecycle including planning, implementation, testing, and deployment .
RingCentral's AI products include AI Receptionist (AIR), AI Virtual Assistant (AVA), and AI Conversation Expert (ACE) .
The company has seen major efficiency improvements in bringing customer-facing features to market using AI-native techniques .
The collaboration demonstrates AI-native development as accelerating the entire development loop, not just code generation .
RingCentral, Inc., a global leader in AI-powered customer engagement, today shared results of its AI-Native Challenge — a company-wide initiative in which thousands of employees, engineers, and non-engineers alike each built a complete software project from scratch using ChatGPT Work and Codex .
Sponsored by the Office of the CEO, the AI-Native Challenge was open to the entire company, not just engineering teams. Participants worked through the full delivery lifecycle — planning, implementation, testing, documentation, CI/CD, and deployment — with Codex acting as a trusted development partner rather than just a code generator .
"AI-native development is not simply 'AI writes code,'" said Kira Makagon, President & Chief Operating Officer at RingCentral. "It's about accelerating the entire development loop, by aiding people across all phases of the development lifecycle: product definition, design, architecture, coding, verification, and deployment. Codex and ChatGPT Work made product development accessible to people with very different technical backgrounds, and dramatically reduced the time and friction required to deliver tangible outputs. Using AI to build AI is how we shorten the time between an idea internally and a feature our customers rely on" .
"AI-native companies aren't defined by how many engineers they have - they're defined by how many people can turn ideas into working software," said Denise Dresser, Chief Revenue Officer at OpenAI. "RingCentral shows what's possible when AI development is put in the hands of an entire organization. With ChatGPT Work and Codex, employees across the business are building, shipping, and learning by doing - helping create a culture where product development becomes a capability for everyone, not just engineering teams" .
For RingCentral, the AI-Native Challenge is a proof point of a broader strategy: using AI internally to build products faster for customers, including RingCentral's own pure AI products, including AI Receptionist (AIR), AI Virtual Assistant (AVA), and AI Conversation Expert (ACE). The Company has already seen major improvements in efficiency of bringing customer-facing features to the market using AI-native techniques .
About RingCentral
RingCentral is a global leader in AI-powered customer engagement, delivering an integrated platform for business phone, SMS, contact center, workforce engagement management, video collaboration, and messaging. Powered by advanced AI capabilities, RingCentral delivers intelligence at every phase of the conversation journey — before, during, and after each human interaction .
