"Human in the loop" describes a very concrete design principle: even when an AI agent is capable of acting on its own, decisions with a direct financial or commercial impact always include a point at which a person confirms before the action becomes final.
Where it makes sense
Not every action needs human confirmation: reading a value, working out an intermediate figure, proposing an option are all low-risk steps. But saving a final quote, changing the status of a job, or sending a message to a customer are actions with real consequences, where explicit confirmation prevents costly mistakes.
Not a limitation, a deliberate design choice
Some present human oversight as a temporary limitation of AI, to be removed once the technology is "mature enough". That reading is wrong: even a trusted human colleague in a well-run business checks before important irreversible actions. It is not a shortcoming of capability, it is good management practice.
What it looks like in practice
Concretely, it means an AI agent shows the result of a calculation before saving it, asks for explicit confirmation before anything that touches real data, and explains clearly what it is about to do before doing it. It is an interface detail that separates a tool you trust from one that makes you uneasy in daily use.