What the term really means
Basing a model response on specified data, documents or search results rather than model knowledge alone.
Grounding becomes useful only when connected to a concrete need, a defined source of data and a person responsible for the outcome. The technology label alone does not show whether it fits a workflow.
How it works in practice
A grounded answer relies on identified data such as a current return policy or order record instead of guessing from model memory.
The decision to make before implementation
Sources must be current, authorised for that user and supplied at response time; stale documents can produce precise but wrong output.
A risk worth addressing
The most common problem appears when a team judges Grounding by an impressive example but does not test missing data, edge cases or the effect of a wrong action. Stop conditions, escalation and safe rollback should be defined in advance.
How to verify that it works
Check claim-to-source consistency, citation completeness, document freshness and behaviour when evidence is missing. Compare results with an agreed baseline and review routine cases, difficult exceptions and human hand-offs separately. A practical Grounding test should have an owner, a review date and a recorded example of an outcome the team will not accept.
The PAR HOUSE Agency approach
We approach Grounding from the workflow rather than a tool demonstration. Sources must be current, authorised for that user and supplied at response time; stale documents can produce precise but wrong output. We then build a small measurable scope, record assumptions and expand only after quality review.
