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RingCentral 如何从工程到运维构建 AI 原生工作

本文介绍了 RingCentral 如何利用 ChatGPT Work 和 Codex 加速 AI 产品开发，并集中工程与运维的运营智能。通过将这些工具整合到工程和运营流程中，RingCentral 旨在打造 AI 原生工作流，简化流程并提高效率。重点在于弥合开发与运营洞察之间的差距，实现更快的迭代和更明智的决策。

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已验证摘要

英文摘要

How RingCentral builds AI-native work from engineering to ops

The article highlights how RingCentral leverages ChatGPT Work and Codex to accelerate AI product development and centralize operational intelligence. By integrating these tools across engineering and operations, RingCentral aims to create AI-native workflows that streamline processes and enhance efficiency. The focus is on bridging the gap between development and operational insights, enabling faster iteration and more informed decision-making.

  • RingCentral uses ChatGPT Work and Codex to accelerate AI product development.
  • The integration centralizes operational intelligence across engineering and operations.
  • AI-native workflows bridge development and operational insights.
  • The approach aims to improve efficiency and decision-making.
  • Tools are applied from engineering to ops.

中文摘要

RingCentral 如何从工程到运维构建 AI 原生工作

本文介绍了 RingCentral 如何利用 ChatGPT Work 和 Codex 加速 AI 产品开发，并集中工程与运维的运营智能。通过将这些工具整合到工程和运营流程中，RingCentral 旨在打造 AI 原生工作流，简化流程并提高效率。重点在于弥合开发与运营洞察之间的差距，实现更快的迭代和更明智的决策。

  • RingCentral 使用 ChatGPT Work 和 Codex 加速 AI 产品开发。
  • 集成工具集中了工程和运维的运营智能。
  • AI 原生工作流连接开发与运维洞察。
  • 该方法旨在提高效率和决策质量。
  • 工具应用于从工程到运维的各个环节。

RingCentral / AI-native work / ChatGPT Work / Codex / Operational intelligence / Product development / Engineering / Operations / OpenAI

完整文章

How RingCentral builds AI-native work from engineering to ops

See how RingCentral uses ChatGPT Work and Codex to accelerate AI product development and centralize operational intelligence across engineering and operations.

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AI 输出

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信息2026/08/13 08:00

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警告2026/08/13 08:00