Most enterprise AI governance is already out of date
When organizations first started formalizing AI policies, the problem they were solving for was narrow: keep employees from sharing sensitive data with a public model. A clear, manageable risk with a clear, manageable response.
What those policies didn't account for was how quickly AI would evolve, or how far the organizational guardrails would fall behind it.
Most companies are still running governance frameworks written for that original moment, applied to a technology that looks nothing like it did then.
What happens when outdated governance meets AI agents
The governance frameworks most organizations are running were designed to manage exposure, not enable work—and that design shows.
Organizations are running agents that autonomously query databases, update records, and trigger downstream workflows, across connected systems, at a pace no approval cycle was designed to match.
Those agents can be governed, but vague policies won't cut it. The governance has to be specific enough...
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