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Natural language understanding (NLU) is the branch of AI that interprets the meaning and intent behind human language, not just the literal words. It lets software grasp what a person actually wants from how they phrase it.
NLU is what separates a real conversation from keyword matching. It figures out that “I need someone out to look at a leak tomorrow” is an urgent booking request, extracting the intent, the timing, and the detail rather than just hearing sounds.
It’s the comprehension layer of an AI receptionist. handlo uses natural language understanding to interpret each caller’s request, ask the right follow-ups, and qualify them correctly — so the brief you get reflects what the caller truly meant.
Conversational AI is technology that lets software understand and respond in natural language, holding a genuine back-and-forth with a person rather than following a fixed script. It combines speech recognition, language understanding, and response generation.
Speech-to-text is technology that converts spoken words into written text, often in real time. It’s the transcription step that turns a caller’s voice into something software can read and act on.
Call qualification is the process of asking an inbound caller targeted questions to determine whether they’re a good fit, what they need, and how urgently to respond. It separates ready-to-buy leads from tire-kickers and wrong numbers before anyone’s time is spent.
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