AI Voice Agents for Calls and Bookings

An AI voice agent answers the phone, understands free speech, takes an action in your systems and replies in a synthesised voice. It pays off where the call flow has many identical questions: status, amounts, opening hours, bookings. Complaints, emergencies and negotiations go to an operator, who receives the call with the reason, the customer card and a transcript.

Below are three voice agents from the Initask catalog, five checks to run before launch and figures from our projects.

Three voice agents

Catalog targets are the benchmark we take into a pilot. The actual result is measured on your calls.

Five checks before launch

1. Recognition on your line. A phone line carries 8 kHz audio, noticeably worse than a messenger voice note. Run recognition on 50-100 real recordings before signing anything. For critical data such as an account number, the bot repeats what it heard and asks for confirmation.
2. How natural the voice sounds. Open-model synthesis of Ukrainian still sounds less natural than commercial voices. If the voice matters for your brand, budget for a commercial voice or a recorded speaker.
3. Delay. A pause longer than about a second is noticeable. Streaming recognition and synthesis, plus a filler line while a slow lookup runs, keep the conversation natural.
4. Parallel calls. The number of simultaneous sessions is calculated with Erlang B from peak-hour calls, average call length and the acceptable share of lost calls.
5. Handover. Escalation rules are written in advance, and any technical failure sends the call to the operator queue.

Figures from our projects

• Dental clinic, demo. On our voice reception MVP, the first appointment was booked in 47 seconds from "hello" to confirmation in the calendar, with the assistant switching between Ukrainian, English, German, French and Italian.
• Security company. AI takes calls on two lines in production, and alarms go to an operator at once.
• Energy utility. In our calculation for a voice call centre, a server with two L4 GPUs paid for itself against cloud minutes in about 8-12 months. For a small flow the conclusion is the opposite: the cloud is cheaper for years.
• Insurance company. Outbound assistance calls came to 600 hours of work a month, the equivalent of 4-4.5 operators.

Call quality analytics

Once calls are recorded, every conversation, the bot's and the operators', can be scored automatically against the company's checklist. The agent fills in the scoring form and links each conclusion to the moment in the recording. The supervisor makes the decision about the operator.

Where to start

Export 50-100 recordings of typical calls and send them through the contact form together with the number of calls in the peak hour. We will return a breakdown of topics, the share a bot can take and a recognition test on your recordings, with an estimate within one working day of the brief.