AI Agent Action Approval: Gate Side Effects Before Execution

Tool-using agents are production systems. Each tool call is a commit: send Slack, delete repo, charge a card. Action approval before execution is how you keep autonomy without blind trust.

The three decisions

• Approve — low risk, policy allows, execute immediately
• Verify — hold until a human approves (console or mobile PWA)
• Block — deny and log; optionally alert ops

Integration patterns

Middleware — wrap every tool executor with verifyAction().

protectAgent() — agent adapter for LangChain-style loops.

Webhooks — fire verification.required to Slack or PagerDuty.

Example: high-value transfer

// Policy: transfer_funds → REQUIRE_VERIFICATION
// Runtime holds until operator approves in console or mobile app
// Audit row: actor, risk score, decision, timestamp

Clone the open-source runtime on GitHub or read what is a runtime trust layer.