Definition
Grounding anchors AI outputs to verified, specific source material, reducing the likelihood of hallucination. A grounded response traces back to a real document, dataset, or knowledge base.
Example
A grounded answer to "What was our Q2 revenue?" cites the specific financial report it pulled from, rather than generating a plausible-sounding number with no citation.
Why it matters
Grounding is the quality standard for enterprise AI. Ungrounded AI is a liability. Grounded AI is an asset.