AI Support & Agents

Intent Recognition

Definition

Intent recognition is the process of identifying what a customer is trying to accomplish from their message — such as "track an order," "request a refund," or "cancel a subscription" — so the system can route or resolve it correctly.

Also known as: intent detectionintent classificationNLU intent

How it works

Traditional bots relied on a fixed list of intents and were trained on example phrases for each. A modern LLM-based agent can infer intent directly from the message using its language understanding, without every phrasing being pre-defined — a form of text classification applied to the customer's goal.

Intent recognition often runs alongside entity extraction, which pulls out the specifics (order number, product, date) the agent needs to act on the recognized intent.

Why it matters for support

Getting intent right is the first decision in any automated conversation. Accurate intent recognition means the customer is routed to the right team, offered the right self-service flow, or resolved outright — while a misread intent sends them down the wrong path and erodes trust.

Frequently asked

What is the difference between intent recognition and entity extraction?

Intent recognition identifies what the customer wants to do (their goal); entity extraction pulls out the specific details (order number, date, product) needed to act on it. They usually work together.

Do LLM agents still need predefined intents?

Not necessarily. Older bots required a fixed intent list, but LLM-based agents can often infer intent directly from natural language, which makes them more flexible with unexpected phrasings.

Related terms

Natural Language Processing (NLP)

Natural language processing (NLP) is the field of AI focused on enabling computers to understand, interpret, and generate human language — the foundation for tasks like intent recognition, sentiment analysis, and text classification..

Text Classification

Text classification is the task of automatically assigning a category or label to a piece of text — such as tagging a support ticket by topic, language, or priority..

Entity Extraction

Entity extraction is the process of pulling specific pieces of structured information — like names, order numbers, dates, products, or amounts — out of unstructured text so a system can act on them..

Ticket Routing

Ticket routing is the process of directing incoming support tickets to the right agent, team, or queue based on rules like topic, channel, language, priority, or customer tier..

Conversational AI

Conversational AI is technology that lets people interact with software through natural back-and-forth dialogue — understanding intent, maintaining context across turns, and responding in natural language via chat or voice..

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