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Human in the loop: why AI agents must not hold the “red button”

Pairing agent speed with expert human oversight delivers maximum reliability and cost efficiency in enterprise development

Although AI agents can run diagnostics or suggest fixes, the final call on a change—for example, merging a patch or restarting a cluster—should remain with a person. Humans catch AI hallucinations or logic errors before they reach a live system. In enterprise projects where downtime is expensive, people coordinate agents and take responsibility in exceptional situations.