凭借近三十年在企业通信领域的创新，RingCentral已发展成为一家全球性公司，年收入超过26亿美元，在全球拥有数千名员工。如今，该公司通过拥抱AI原生的工作方式，延续其创新传统。通过让每位员工都有机会尝试ChatGPT Work和Codex，RingCentral确保了公司内任何人，无论是否具备工程经验，都能构建变革性的产品和基础设施。
“当你把真正的人工智能工具交到每个人手中，整个公司就变成了一个产品组织。我们的每一款产品——包括但不限于我们的Agentic Voice AI产品组合AIR、AVA、ACE——都会随着我们压缩从想法到交付功能之间的距离而变得更加出色，而这正是AI原生开发让我们能够做到的。”
——Kira Makagon，RingCentral总裁兼首席运营官
AI原生挑战
为了在全球工程组织中推广AI熟练度，RingCentral的CEO办公室发起了一项AI原生挑战。每位参与者都获得了ChatGPT Work和Codex，并被要求构建一个完整的端到端项目——没有强制规定的工作流程或其他限制。
这不仅仅是一次编码练习，该挑战让员工沉浸在整个AI原生开发生命周期中，从规划和实施到测试、文档、CI/CD和迭代。几乎每位参与者都创建了一个可用的代码仓库，数千名员工（包括非技术员工甚至高管）交付了可运行的项目。
对RingCentral而言，这项挑战是其更广泛战略的一个工作模型：在内部使用AI，为客户更快地构建产品。公司采用同样的Codex驱动方法来加速其自身AI驱动产品组合的开发——RingCentral AI接待员（AIR）、AI虚拟助手（AVA）和AI对话专家（ACE）——缩短了从想法到交付客户功能之间的距离。
“从挑战中得到的最清晰教训是，AI原生开发不是要取代工程师——而是要增强他们的能力。AI加速了整个开发周期，而人类始终处于主导地位，指导产品需求、提供业务背景、做出架构决策，并确保每个结果都经过测试和验证。”
——主导该项目的RingCentral工程负责人
使用ChatGPT Work运行日常PMO运营
在AI原生挑战等举措的推动下，RingCentral的非工程部门也采用了AI原生的办公方式。项目管理办公室（PMO）已使用ChatGPT Work构建了一个相当于项目管理操作系统的工具，将分散的笔记和聊天记录替换为基于AI的工作流程，用于状态跟踪、报告、发布治理和知识传递。
“ChatGPT将我的项目背景信息整合在一起。借助ChatGPT Work，我可以将这些背景转化为行动和执行。”
——Vaneet Seth，RingCentral PMO研发效率高级经理
其中一个应用是自动化状态报告：利用ChatGPT Work，PMO团队构建了工作流程，可从Jira、Google Sheets、CRM系统及其他来源跟踪的问题中生成通知。这就像走进会议时不再需要询问发生了什么变化，而是带着已定义的阻塞项、负责人和行动方案进入会议。
最初只是一次开放的实验邀请，数千名工程师从零开始构建，如今已成熟为PMO等团队运行项目的运营支柱。通过减少手动协调，ChatGPT Work使RingCentral的PMO能够以更高的准确性处理更多项目。
在工程和运营领域，同样的模式都适用：给员工尝试AI的空间，不仅培养个人技能，还构建了公司赖以运行的基设。
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
To encourage AI fluency across a global engineering organization, RingCentral’s Office of the CEO sponsored an AI-Native Challenge. Every participant was given ChatGPT Work and Codex, and asked to build a complete, end-to-end project—with no mandated workflow or other constraints.
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.
“The clearest lesson from the challenge was that AI-native development isn’t about replacing engineers—it’s about amplifying them. AI accelerates the entire development cycle, while humans remain in the loop, guiding product requirements, providing business context, making architectural decisions, and ensuring every outcome is tested and verified.”
—Engineering leader at RingCentral who spearheaded the project
Running daily PMO operations with ChatGPT Work
Encouraged by initiatives like the AI-Native Challenge, non-engineering departments at RingCentral have adopted AI-native ways of working. The Program Management Office (PMO) has used ChatGPT Work to build what amounts to an operating system for program management, replacing scattered notes and chat history with AI-powered workflows for status tracking, reporting, release governance, and knowledge transfer.
“ChatGPT brings my project context together. With ChatGPT Work, I can turn that context into actions and execution.”
—Vaneet Seth, Senior Manager, R&D Efficiency, PMO, RingCentral
One application is automated status reporting: Using ChatGPT Work, the PMO team built workflows that generate notifications from issues tracked across Jira, Google Sheets, CRM systems, and other sources. It’s the difference between walking into a meeting asking what changed and walking in with blockers, owners, and actions already defined.
What started as an open invitation to experiment, with thousands of engineers building from scratch, has matured into the operational backbone of how teams like the PMO run their programs. By reducing manual coordination, ChatGPT Work enables RingCentral’s PMO to handle more projects with greater accuracy.
Across engineering and operations alike, the same pattern holds: giving employees room to experiment with AI doesn’t just build individual skills, it builds the infrastructure the company runs on.
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