Human in the loop
Human in the loop is a design where people review, approve, or correct an AI system's outputs so humans stay in control of important decisions.
Human in the loop is an approach where a person stays involved in an AI driven process, reviewing, approving, or correcting the system's output instead of letting it act fully on its own. It keeps human judgment in place for decisions that carry risk or need oversight.
This can take several forms:
- Review before action, where a person approves an AI suggestion before it reaches a customer.
- Escalation, where the AI hands off cases it is uncertain about to a human.
- Correction and feedback, where human edits are fed back to improve future performance.
In context
In customer support, human in the loop keeps agents in control of sensitive or uncertain situations. An AI assistant might draft a reply for an agent to approve, suggest a resolution that a person confirms, or escalate a frustrated customer to a human rather than continuing on its own.
This balance lets teams automate routine, repetitive work while making sure complex, high stakes, or unusual cases still get human attention. It also builds trust, since customers and agents know a person can step in whenever judgment is needed.
How Auralis uses Human in the loop
Auralis is built human in the loop by design: Autopilot handles routine questions and escalates uncertain or sensitive cases, while Assist drafts replies your agents review before sending, keeping people in control.