Architecture Pattern
Human-in-the-Loop Architecture
A system design where a person reviews or approves an AI system's output before it takes effect, at a defined point in the flow.
What it is
Rather than fully automating a decision, the architecture inserts an explicit checkpoint — a low-confidence result, a high-stakes action, a public-facing response — where a person reviews before anything happens. The rest of the flow can still be fully automated.
When to use it
Wherever an AI system's mistake would be costly, public, or hard to reverse — pricing, public communications, hiring decisions, anything touching regulated data — versus internal, low-stakes, easily-corrected actions.
Real tradeoffs
- —Removes full autonomy — the system is only as fast as the human review step, so it's not the right choice where speed is the entire point
- —Correctly designed, this is what prevents The No-Fallback Design failure pattern rather than discovering the need for it after a bad response ships
- —Requires a real UI/workflow for the human reviewer, not just 'someone checks the logs sometimes'
Related
FAQs
Doesn't a human-in-the-loop step defeat the purpose of automation?
No — it removes the repetitive share of the work while keeping a person in the loop for the part that actually carries risk. Most well-designed automation isn't 'fully autonomous', it's 'mostly autonomous with a deliberate checkpoint.'
Have a project in mind?
Tell us what you're trying to automate or build — we'll reply with next steps, not a sales pitch.