Digital Lexicon Hub

Technology that lets software understand and respond to people in natural language through text or voice, as in assistants and AI agents.

Conversational AI can answer routine questions, qualify leads and handle bookings around the clock, freeing staff for complex cases, but wrong answers or a hard-to-reach human quickly damage customer trust.

A clinic network deploys a voice agent that transcribes the caller, detects the intent to reschedule, checks the calendar through an API, confirms a new slot with text-to-speech and hands off to staff when confidence is low or the caller asks for a person.

Generative systems can produce confident but wrong answers, and voice systems struggle with accents and background noise. Article 50 of the EU AI Act also requires telling users they are interacting with an AI system unless this is obvious, so disclosure and a clear route to a human are design requirements.

A typical pipeline converts speech to text with automatic speech recognition, interprets intent and entities with Natural Language Processing (NLP), tracks conversation state through dialogue management, generates a reply with rules or a language model and converts it back to speech where needed. Modern systems connect to business systems through APIs and retrieval so that an AI Agent can act, not only answer. A rule-based Chatbot is the simplest form.