The AI Agent Governance Gap: Why Policy and Evaluations Matter More Than the Model
Many organisations are rushing into deploying AI agents with the same enthusiasm they had for serverless in 2016, great technology, terrible operational discipline. The pattern is predictable: build a proof-of-concept that works brilliantly in a demo, deploy it cautiously to production, then discover you have no idea how to govern what it’s actually doing once users interact with it at scale.
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