§ 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.