Policy and Access Decisions

Human-in-the-Loop Approval

Human-in-the-loop approval is a policy outcome where a tool call that exceeds automated policy thresholds is paused and routed to a human reviewer before execution proceeds.

Why this matters for AI agents

Not every access decision can be fully automated. For high-impact actions—such as deleting records, sending external communications, or modifying production infrastructure—human review adds a critical safety layer.

How AgntID relates

AgntID supports human-in-the-loop approval as a first-class policy outcome—sensitive or anomalous tool calls can be paused and routed for human review rather than automatically allowed or denied.

The static IAM gap

IAM has no concept of pausing a call for human review. It either allows or denies. Human-in-the-loop approval requires a runtime enforcement layer that can hold calls pending approval.

Related phrases

human in the loop approvalhuman review for agent actionsmanual approval for tool calls

Related terms

Frequently asked questions

What is human-in-the-loop approval for AI agents?

Human-in-the-loop approval is a policy outcome where a tool call that exceeds automated policy thresholds is paused and routed to a human reviewer before execution proceeds.

When should human-in-the-loop approval be used?

Human approval is appropriate for high-impact actions such as deleting records, sending external communications, or modifying production infrastructure—where automated policy alone is insufficient.

How does AgntID implement human-in-the-loop approval?

AgntID supports human-in-the-loop approval as a first-class policy outcome. Sensitive tool calls can be paused and surfaced for human review rather than being automatically allowed or denied.

Runtime Enforcement

Secure every agent tool call at execution time.

AgntID gives infrastructure teams scoped, ephemeral access control for AI agents without replacing IAM, MCP servers, tools, or agent frameworks.