Grounding is the process of providing an AI model with trusted external information before it generates a response. Instead of relying only on its internal knowledge, the model uses retrieved documents or business data as factual context.
Voice AI assistants use Grounding to answer customer questions using company documentation, policies, product catalogs, and knowledge bases. Grounded responses reduce hallucinations and improve factual accuracy in business conversations.