AI governance is framed not just as a security concern but as a developer experience problem. Drawing on historical patterns with cloud, containers, and CI/CD, the argument is that capability alone doesn't drive adoption — trust does. Organizations that define clear boundaries around where agents run, what they can access, and how activity is observed enable developers to delegate more work confidently. When governance is embedded into the platform itself, developers spend less time managing risk and more time on outcomes. The organizations most likely to scale AI agent adoption are those with the clearest controls, not the fewest.
Table of contents
The Trust BottleneckThe Wrong TradeoffA Tale of Two TeamsWhy Boundaries Create FreedomThe Platform ShiftGovernance as an EnablerLooking Ahead157 Impressions