Natural Language Generation
Natural Language Generation (NLG) is the process by which AI systems produce coherent, contextually appropriate human language text from structured data or internal representations.
In Depth
NLG is the output side of language AI — it transforms data, logic, and reasoning into natural-sounding text that customers can understand. In customer support, NLG enables AI agents to compose personalized responses rather than selecting from canned templates. The agent can pull order data from a database and generate a message like 'Your order #4521 shipped yesterday via FedEx and is expected to arrive Thursday' rather than a generic 'Your order is on its way.' Advanced NLG considers tone, brand voice, customer context, and conversation history to produce responses that feel human and empathetic.
It also powers features like automatic ticket summaries, conversation recaps for agent handoffs, and multilingual response generation.
Related Terms
Natural Language Understanding
Natural Language Understanding (NLU) is a subset of NLP focused on enabling machines to comprehend the meaning, intent, and context behind human language input.
Natural Language Processing
Natural Language Processing (NLP) is a branch of AI that enables computers to understand, interpret, and generate human language in a meaningful way.
Large Language Model
A large language model (LLM) is a deep learning model trained on vast amounts of text data that can understand, generate, and reason about human language with remarkable fluency.
Learn More
