---
id: what-decision-and-action-boundaries-should-an-ai-agent-have
title: "What decision and action boundaries should an AI agent have?"
category: guide
subtopic: agent-decision-boundaries
page_type: guide
source_url: "https://neosbyargonandco.com/supply-chain-ai-agents-responsibility"
tags: ["AI agents", "decision boundaries", "governance", "supply chain"]
questions:
  - "How much authority should an AI agent have?"
  - "What should limit AI agent decisions?"
  - "How do you control what an AI agent can do?"
related: [ai-agent-responsibility, agent-shared-context]
---

Every AI agent role requires an explicit decision boundary that defines whether the agent may observe, recommend, request approval, or act independently. This boundary should incorporate financial exposure, customer impact, confidence level, reversibility, and time sensitivity.

A low-cost scheduling adjustment might be fully automated, while a change to a strategic customer commitment requires human judgment. Design human oversight into your operating model from the start, not as an afterthought. The system should route issues to the right person with relevant context already assembled, and record whether recommendations were accepted, modified, or rejected.

This feedback loop improves both agent behavior and your underlying decision logic. Clear boundaries also prevent agents from negotiating indefinitely or becoming unpredictable. Accountability stays with people and systems, while agents extend their responsiveness and reach.

Argon & Co specializes in designing these governance structures. Contact us to build agents that balance efficiency with control.