Decide what an AI Agent can move — before it signs.
Configure the policy on the left. Submit a mock Agent request in the middle. Watch the verdict — auto-approve, escalate, or block — land on the right with full reasoning.
Submit an action — or run a scenario above — to see the engine's verdict here, with full reasoning.
Boundaries become explicit.
Caps, target trust tiers, time windows, allowed action types, confidence floors — stored as one structured policy object. Versionable, reviewable, replaceable.
Every action is decomposed.
Hard rules fire first — blocked tier, disallowed type, cap breach. Then softer signals — time window, agent confidence, escalation band, frequency. Strongest outcome wins.
Three outcomes, no ambiguity.
Auto-approve inside clean boundaries. Escalate with full context near the edge. Block when policy says no. Execution only ever sees what made it through.