Autonomous vs Guided AI Agents: Checkpoints, Not Labels, Define Risk

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Autonomous and guided AI agents run the same perceive-plan-act loop, so the key difference is where a human can intervene. The article argues that vendor labels like "autonomous" or "guided" are unreliable, and buyers should instead ask which actions need approval, which are monitored, which are blocked, and what credentials the agent holds. It recommends setting autonomy per action rather than per product, with routine tasks automated and consequential ones gated. It also warns that approval fatigue, illustrated by users approving 93 percent of Claude Code permission prompts, can make checkpoints ineffective. Gartner is cited as forecasting that over 40 percent of agentic AI projects will be canceled by the end of 2027, partly due to inadequate risk controls.

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