What is human-in-the-loop?
Human-in-the-loop is a design in which a person reviews, approves or corrects an AI system's decisions at the points where human judgment matters.
The idea is not to supervise everything, but to place control where it adds value: approving an action with consequences, validating a result before it is sent, or correcting the system's course. It is a central principle of AI governance and the basis of an enterprise copilot, which suggests and executes while leaving the decision in the person's hands.
Why it matters
Human control is what makes AI in production viable in serious processes: it brings trust, accountability and the ability to correct before an error spreads. It lets you automate sensibly —the AI does the bulk of the work, a person validates the critical decisions.
How we approach it at Codara
We design every system with the person at the decision points that matter inside Codara's agentic orchestration layer: we automate the repeatable work and reserve human review for the steps where judgment is key.
Preguntas frecuentes
Where do you place the human control?
At the decision points that matter: where an error is costly, the action is irreversible, or the case demands human judgment or accountability. The rest of the process can run automatically.
Does it slow automation down?
No. Designed well, it automates the bulk of the work and reserves human intervention only for the critical steps, so it brings control and trust without giving up efficiency.