Inteq's Agentic AI Q&A Series
Question: Who is accountable when an AI agent makes a wrong decision within its authorized scope?
Answer: When an AI agent makes a wrong decision within its authorized scope, the business process owner remains accountable, accountability does not transfer to the technology. The principle I hold to is that every agent decision must have a named human owner, exactly as a decision made by a team member under delegated authority would.
It is worth separating the roles clearly. The process owner is accountable for business outcomes within the agent’s authorized scope. IT and the vendor are accountable for the system performing as specified - not for the business decision itself. Blurring these is what creates the paralysis where no one will grant an agent any authority because no one knows who answers for it.
The way to avoid litigating this after an error is to codify it before deployment in a decision-rights model with documented authority boundaries. When the answerable party is defined in advance, an error becomes a governance event you can manage rather than a crisis you have to assign blame for. This clarity is foundational to governance, audit, and regulatory defensibility - and it is one of the four governance controls we build into every agent deployment.
Defining decision rights and authority boundaries before deployment is central to Inteq’s Analyzing & Specifying AI Agent Business Requirements training course.
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