Agent Action Boundary
The explicit line between AI work that may prepare or recommend and work that may execute, with the approval, exception and audit route required before an external or consequential action.
Agent Action Boundary is the explicit line between AI work that may prepare or recommend and work that may execute, with the approval, exception and audit route required before an external or consequential action.
It appears repeatedly across the KUOS case library because leaders need it at a real decision point: defining a boundary, assigning an owner, choosing evidence or deciding whether to scale.
Use it in practice by naming one current workflow, the accountable human, the evidence you expect and the condition that would make you change course.
Still curious?
Ask Kuni, your AI learning companion, to explain this concept in the context of your own work.
AI can make mistakes. Check important facts, decisions and sources before relying on them.
Ask MAESTRO
Ask SENTINELSTART
Bounded roles
CONTROL
Visible hand-offs
OUTCOME
Human owner
ENTERPRISE AI
Go deeper
Related concepts
Seen in cases
Real-world examples where this concept appears in our case studies.
Ready to bring AI into your organization?
Talk to us about a guided adoption path for your team — from first use case to production.
Ask about this concept