Human-In-The-Loop AI Agents
Human-in-the-loop AI agents are designed so a person reviews the agent’s work before important actions happen.
Why human review belongs in the workflow
AI agents can move quickly, but speed is not enough when a workflow affects customers, money, records or reputation. Human review gives the team a clear moment to check context, catch exceptions and decide whether the agent’s output should become an action.
Where to put the human
The review point should sit before the action that creates risk, such as sending an external message, changing a record, approving a refund, escalating a ticket or updating a financial field.
What the reviewer needs
- The original trigger
- The data the agent used
- The proposed output
- Missing information
- The action after approval
- The record that will be kept
When review can be lighter
Low-risk internal summaries may need spot checks. Customer-facing prepared messages may need approval before sending. Financial, legal, security or sensitive customer workflows may need strict gates and separate owners.
Avoid the hidden human
Some workflows pretend to be autonomous while relying on people to repair mistakes quietly. A better design makes the review point explicit, measures exceptions and improves the workflow over time.
Place the approval gate
Choose one workflow and decide where the person should approve, reject or edit the agent’s output.
Request the checklistMap the workflow