Use case
Let AI agents work without giving up control.
Pailon helps businesses govern what AI agents can request, recommend, access, or execute.
Overview
AI agents can help teams move faster, but businesses still need clear boundaries. Some actions may be safe to allow automatically. Others should require approval, step-up, or be blocked entirely.
Pailon gives organizations a control layer for AI-initiated work. Agents can propose actions, but Pailon decides whether those actions are allowed, require human review, or need additional proof.
How Pailon governs it
Four outcomes for every action.
One consistent decision layer — whether the request comes from a person, a workflow, or an agent.
Common examples
Where teams put this on the record.
Business outcomes
What changes when this is governed.
Use cases
Related use cases
One system
Govern AI Agents
Pailon gives you consistent controls and audit-ready proof across rails, assets, and automation so compliance becomes repeatable.