Most API governance conversations stay technical. Tools, specs, catalogs, policies.

Those matter. But they don't work without something underneath: clarity on who decides what, who owns what, and what happens when something goes wrong.

In organizations moving toward agentic AI, that clarity becomes more urgent. Agents act on the structure they find. If roles are ambiguous and processes aren't defined, the agent doesn't compensate. It operates on ambiguity and produces unpredictable results.

An operating model for API governance defines the organizational layer: ownership, decision rights, processes, metrics. It's what makes the technical layer sustainable.

https://lnkd.in/eKbtVdUr

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