How RingCentral builds AI-native work from engineering to ops

Global business communications company RingCentral is integrating OpenAI tools, including ChatGPT Work and Codex, to build AI-native workflows across its engineering and operational units. To encourage AI fluency, the company's Office of the CEO sponsored an AI-Native Challenge, providing participants with the tools to build complete, end-to-end projects without mandated workflows. Thousands of employees, including non-technical staff and executives, successfully created functioning repositories and projects spanning the full development lifecycle, from planning to CI/CD and iteration. RingCentral applies this same Codex-enabled approach to accelerate the development of its AI-powered product portfolio, which includes RingCentral AI Receptionist, AI Virtual Assistant, and AI Conversation Expert, thereby shortening the timeline from concept to customer delivery. According to engineering leaders involved in the initiative, AI serves to amplify engineers rather than replace them, with humans remaining responsible for product requirements, architectural decisions, and verification. Beyond engineering, departments such as the Program Management Office (PMO) have adopted ChatGPT Work to establish AI-powered workflows for status tracking, reporting, release governance, and knowledge transfer. By automating status notifications from sources like Jira, Google Sheets, and CRM systems, the PMO has reduced manual coordination and improved project management accuracy. What began as open experimentation with thousands of employees has matured into an operational backbone that drives efficiency and infrastructure across the entire organization.