RingCentral has integrated ChatGPT Work and OpenAI Codex directly into its engineering and operations pipelines, using both tools to compress product development cycles and consolidate operational data that was previously scattered across teams.
The more interesting story is not the adoption itself but the architecture behind it: RingCentral is treating AI as infrastructure, not a feature. Codex handles code generation and review tasks inside engineering, while ChatGPT Work functions as a centralized intelligence layer for ops, pulling context across departments that previously required manual coordination. The specific workflows, team structures, and integration points described in the original piece are worth reading for anyone building similar systems.
The direction this points is clear. Companies at RingCentral's scale are no longer piloting AI tools. They are rebuilding operating models around them. The questions about where that creates leverage and where it creates new fragility are not answered here, but they are worth asking.
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