Every AI Agent Needs A Human Owner Before It Signs Off On Anything

Morey J. Haber, Chief Security Advisor at BeyondTrust, is an identity and technical evangelist with over 25 years of IT industry experience.

​Artificial intelligence (AI) can now write a contract, analyze a financial statement, generate ready-to-compile code, recommend business decisions, negotiate with other AI agents and increasingly execute entire workflows without human intervention. Agentic AI takes this evolution even further. It allows systems to process a task, determine the steps required to accomplish it, access applications and data, invoke third-party tools, make business decisions and take automated actions.

We are quickly moving from AI that tells us what we should do to AI that can actually do it for us. However, 78% of executives still lack confidence that they could pass an AI governance audit within 90 days, a security gap that only widens as agents gain more autonomy.

Yet there is one deceptively simple thing it still cannot do: sign its own name. That is not about handwriting or electronic signatures. It is about ownership and accountability. When an AI system makes a consequential decision, someone, presumably a human, still needs to own the outcome.

The Accountability Gap

This distinction between autonomy, ownership and accountability may become one of the most important governance challenges of agentic AI. Organizations are beginning to create AI agents with their own identities and entitlements, and some have broad access to sensitive systems and information.

Some agents may operate independently for hours, days or potentially indefinitely based on a prompted task. Technically, these agents increasingly resemble digital workers but still need owners for accountability. Organizationally, however, they are something very different than just having a management structure. An autonomous AI agent introduces ambiguity because the entity making the decision may not be the entity accountable for it.