Grounding

Technical meaning. Grounding is a term people use when they are talking about how AI systems understand information, answer questions, or take action.

Why it matters. Tying an AI answer back to real documents, data, or sources.

Where people see it. You will see this term when teams begin connecting AI to real workflows, files, tools, and approvals.

Small business example. For a small business, the practical question is not whether the phrase sounds advanced. The question is what decision, workflow, customer question, or public fact it affects.

Mistake to avoid. Do not treat the term as magic. Ask what input it needs, what output it creates, who checks it, and what happens when it is wrong.

Related terms. Tool Calling, Function Calling, Model Context Protocol.