Intent inference goes beyond matching the literal text of a request. An artificial intelligence system uses language, context, prior interaction and available signals to estimate what outcome the user is actually trying to achieve.
The estimate is uncertain and can be wrong, especially when goals are ambiguous or cross-domain judgment is required. Reliable agents expose assumptions, ask clarifying questions and avoid consequential actions when the inferred intent is not sufficiently clear.
Acronyms and aliases
intent inference variantintent prediction variant
Related terms
Frequently asked questions
What information supports user intent inference?
It can use the user's words, conversation context, prior actions and other permitted signals relevant to the current request.
What should an agent do when intent is unclear?
It should state its uncertainty, ask a focused clarifying question and avoid high-impact actions based on an unverified assumption.
