AI

What is an AI voice assistant?

Definition

AI voice assistants answer the phone with a synthetic voice and turn the conversation into text. The greeting is written by the business. The assistant speaks only from the sources it was given. Where a question has no answer in those sources, it makes nothing up. The call goes to a person, along with a written summary.

How does an AI voice assistant answer the phone?

When a call comes in, the assistant reads the greeting. The caller speaks, the speech is turned into text, and an answer is built from the sources the business supplied. The answer is then read back in a synthetic voice.

One thing is said at the start of every call. The caller is told plainly that this is software, not a colleague. A caller who would rather speak to a person can say so in the first seconds. A greeting that hides the point costs trust later.

What the assistant knows is a closed list. Opening hours, the service list, the address and the common questions are loaded before it goes live. A question outside that list gets no invented answer. The call moves to a person instead.

  • The call is answered and the greeting is read.
  • Speech is turned into text.
  • The answer comes only from the supplied sources.
  • An unanswered question moves the call to a person.

How are the voice and the greeting chosen?

The voice is synthetic. Tone, pace and language are picked during the build, and the same voice speaks the same way on every call. A business that works in Dutch and English needs a written greeting for each language.

The greeting belongs to the business. The first sentence carries the name, the opening hours and the topics the assistant can help with. It stays short, because a caller decides within seconds whether to keep listening.

A greeting is not written once and left alone. Incoming questions are read every month, and the three most common ones are added to the greeting or to the source list. The share of calls the assistant can finish rises with each pass.

  • Tone, pace and language are set during the build.
  • The business writes the greeting.
  • Each language gets its own greeting.
  • Common questions are added to the source list.

When does the call go to a person?

Handover happens in three cases. The first is a question with no answer in the sources. The second is a caller who asks for a person. The third is a listed topic. Complaints, price negotiation and contracts sit on that list by default.

A summary travels with the handover. The colleague who picks up sees the summary of the conversation, the caller's record and the answers given so far. That way nobody has to tell the same story twice.

Calls outside opening hours are not lost either. The assistant takes the message, leaves the written summary in a queue, and somebody calls back the next working day. For most small teams that is the part which pays for itself.

  • A question outside the sources goes to a person.
  • A caller who asks for a person is transferred.
  • Complaints, price negotiation and contracts go to a person by default.
  • The summary and the caller record appear on the colleague's screen.

What happens to recordings and consent?

Call recording is a separate decision. Written conversations are stored as a matter of course. A voice recording is made only when the business asks for one and the caller agrees to it. Without that agreement, nothing is recorded.

Three questions are answered in writing before it goes live: where the recording sits, how long it is kept, who opens it. Under GDPR those answers belong in the privacy notice. Where health details come up, the rules are stricter and consent is explicit.

Conversations and recordings are not used to train models. That limit is written into the contract. A caller can ask for their own record to be deleted, and the request is logged like any other.

  • Written conversations are stored.
  • Voice recording needs a request and the caller's consent.
  • Retention and access are written into the privacy notice.
  • Conversations are not used to train models.

Which businesses use an AI voice assistant?

Any business whose phone rings while the work is happening. In a salon, a clinic, a hotel, a restaurant or a field service team, the call arrives mid-job and often goes unanswered.

Busy hours are the second case. When four calls land at once, all four are answered and nobody sits listening to hold music. Out of hours is the third: a night call is taken as a message and reaches the right person in the morning.

It does not suit every call. A complex support case, a long negotiation or an upset customer needs a human voice. Those topics go on the handover list and reach a person directly. ALTAI Digital agrees that list with the client during the build.

  • Appointment businesses: salons, clinics, studios.
  • Guest questions: hotels and restaurants.
  • Field work: service, maintenance, delivery.
  • Listed topics go straight to a person.
Frequently asked

AI voice assistantFrequently asked questions

The synthetic voice is fluent, but the caller is told plainly that this is software. Nothing is hidden. Anyone who prefers a colleague can ask for one in the first seconds of the call.

It invents nothing. A question with no answer in the sources moves the call to a person. That colleague sees the summary on screen. The question is then added to the source list.

The topics are listed during the build: opening hours, address, the service list, appointment requests and common questions. The list comes from the material the business supplies. Anything outside it goes to a person.

Written conversations are stored. A voice recording is made only when the business asks for it and the caller agrees. Retention time and access rights are written into the contract and the privacy notice.

It can, once the booking system is connected. The assistant reads out the free slots, saves the chosen one and sends the confirmation. Without that connection, the request reaches the team as a written summary.

It depends on how ready the source material is. Once opening hours, services and common questions are collected, the assistant goes into a test phase. During the test the answers are read and the source list is corrected.

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