What is a callbot?

The first difference is with the traditional interactive voice response (IVR) system. An IVR imposes a fixed menu (“press 1”, “press 2”) and understands nothing the caller says: it simply routes the call according to the key pressed. A callbot, on the other hand, lets the caller describe what they need in their own words and answers them directly.

The second difference is with the chatbot, its written counterpart. A chatbot converses in text, on a website or a messaging app; a callbot converses by voice, on a phone line. Both rely on similar language-understanding technology, but a callbot also has to turn speech into text, then its reply back into voice, all in real time.

A call handled by a callbot goes through a four-step chain. First, speech recognition transcribes what the caller says into text. A language-understanding engine then analyses that text to identify the intent: asking about opening hours, booking an appointment, reporting a problem.

The callbot then builds a reply from the information it holds about the business, and a synthetic voice speaks it. Finally, it can trigger an action: noting a message, creating an appointment in a calendar, or transferring the call to a colleague when the request goes beyond its scope. The whole loop runs continuously so the conversation stays fluid.

The first use is answering the calls nobody can take: outside opening hours, during busy peaks, or when the whole team is out on jobs. A call missed at those moments often goes to a competitor; the callbot picks up, gives information and keeps hold of the contact.

Next come qualifying requests before transferring them to the right person, answering recurring questions (opening hours, address, services, documents to prepare), taking structured messages and booking appointments directly in the business’s calendar. Taking these repetitive tasks off the team frees people up for the conversations that really add value.

A callbot only answers well on the basis of the information it has been given: if a question falls outside its knowledge base, it should say so and offer a transfer or a message rather than improvise. Emotionally charged situations, such as an angry customer or a sensitive complaint, and complex negotiations remain a job for a human.

A good deployment embraces these limits: the callbot handles what it knows how to handle and hands over smoothly whenever needed. It is this hand-off to people, more than the technology alone, that makes for a good phone welcome.

In practice, setting one up means giving the callbot your business information (services, opening hours, instructions), defining when calls should go to a human, then redirecting the line, or just the unanswered calls, to the agent. Alyas works on this principle: at the start of each call the agent says it is an AI and that the call is recorded, answers from the information provided, transcribes and summarises every conversation, transfers to a human when needed and can book appointments via Google Calendar or Cal.com. A 10-day free trial lets you test it on your own calls.