Nurturing agentic AI beyond the toddler stage

Autonomous AI agents (AI systems that operate independently to complete complex tasks with minimal human oversight) have advanced rapidly, creating new governance challenges because they can operate at machine speed without humans in the loop to approve each decision. Unlike traditional chatbots where humans reviewed outputs before consequential actions, agents now directly modify enterprise systems and data, making organizations legally liable for any harm caused (similar to how parents are responsible for their children's actions). Without building governance rules directly into the code that controls these agents' permissions and actions, organizations face significant risks from drift (where agents behave differently than intended) and unauthorized access to critical systems.