As organisations introduce more autonomous systems into critical workflows, fully removing humans from the loop is rarely realistic, or desirable. Instead, leading organisations are designing hybrid models where agents operate independently within defined boundaries, with human oversight, escalation, and intervention built in. The challenge is determining where and how humans should remain involved to ensure trust, control, and clear accountability, without undermining the efficiency gains agentic AI promises.
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