Governance · 5 min read
Human-in-the-Loop AI: Where People Should Stay in Control
Full autonomy is rarely the goal. Here is how to decide where human review belongs in an AI workflow, and how to design it so it doesn't become a bottleneck.
One of the most common questions about AI automation is “will it run on its own?” The better question is “where should a person decide?” Thoughtful human-in-the-loop design is what makes AI safe to use for real work.
Place review where consequences are real
Human approval is usually worth it for actions that:
- Communicate externally, with customers, suppliers or regulators.
- Move money or change financial records.
- Change customer, employee or contractual data.
- Are hard to reverse.
- Fall below a defined confidence threshold.
Make review fast
A review step only works if it is quick. Show the reviewer the original input, the AI's output, the sources it used and what will happen on approval, all on one screen. Let them approve, edit or reject in a click, and record the decision.
Use review data to improve
Every edit or rejection is a signal. Track them, find patterns and improve prompts, rules or data. Over time, categories with consistently approved outputs can move to lighter review, such as sampling, while risky categories keep full approval.
Document the decisions
Write down which steps are automatic, which need review and who is accountable. This makes the system understandable to new team members, auditors and leadership, and makes future changes deliberate rather than accidental.