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Automation and AI

What is intent in a chatbot?

Intent, in conversational automation, is the goal behind a customer's message regardless of the exact words: "how much for a facial", "facial price?" and "what do you charge for facials" share one intent. Intent detection uses a language model or a classifier to map free text to a known goal, which then routes to the right flow, answer or team.

Updated 29 Aug 2026 · 1 min read

On this page
  1. Why it matters
  2. In VGraple CRM
  3. Related terms

AUTOMATION AND AI

Intent

Intent, in conversational automation, is the goal behind a customer's message regardless of the exact words: "how much for a facial", "facial price?" and "what do you charge for facials" share one intent. Intent detection uses a language model or a classifier to map free text to a known goal, which then routes to the right flow, answer or team.

keyword triggerai agentescalationfallback message

Intent in one line

Why it matters

Keywords catch what customers were told to type; intents catch what they actually say. Routing on intent is what lets one number handle sales, support and bookings without a menu at every turn, and it is what makes multilingual automation possible without a keyword list per language.

In VGraple CRM

The AI response node and the AI chatbot infer intent from the message and the knowledge base to answer or to route; escalation rules act on intents such as complaints. Flows still use keywords and buttons for deterministic paths, and the two are combined in practice: buttons for the common cases, AI for the rest.

Keyword trigger, AI agent, Escalation, Fallback message.

Frequently asked questions

Do I have to define intents by hand?
No. The language model infers them from the message and your prompt; you define the actions for the ones that matter.
Can intent detection work in Hindi or Gujarati?
Yes. Modern models handle major Indian languages and mixed-script messages.
What if the intent is unclear?
The fallback message asks a clarifying question or offers buttons.

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