What's the difference between a chatbot and an AI front desk?
A chatbot's job ends when it replies. A front desk's job ends when the customer's task is done: the appointment booked on a real calendar, the enquiry captured as a record you own, or the conversation handed to a person with the transcript attached.
How it actually works
The older generation of chatbots were decision trees — buttons and canned replies, authored one at a time by whoever had the patience. Retrieval-based assistants replaced the authoring with documents, which is a large improvement and still only changes how the answer is produced.
What distinguishes a front desk is the set of actions available once the answer is given. Reading a calendar's free/busy and writing an event. Collecting name, need and contact details on a deterministic path rather than leaving a model to decide whether this exchange was worth saving. Opening a ticket with the full transcript when someone asks for a human. These are the steps that turn a conversation into an outcome you can see in your inbox the next morning.
It matters commercially because the questions are asked at the moment of highest intent and the lowest patience. A visitor who gets a good answer and then has to find a separate booking page has been handed a second chance to leave.
What it can't do
- More capability means more ways to be wrong. An assistant that can book can book badly, which is why working hours, buffers and never-promise rules are configuration rather than inference.
- Deterministic lead capture means fewer judgement calls, not none — a visitor who declines to give details is not pursued.
- Handoff is by email. There is no phone escalation and no on-call routing.
Related
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