What is an AI call center and how does it work
· Updated
An AI call center is software that takes over a company's routine calls and chats and scores every conversation, including those handled by human agents. It has three parts — a voice bot, speech analytics and a chatbot — and all three answer from one knowledge base. Complex conversations are handed to a person, so agents stay, but they stop spending their shifts on the same questions.
Below we walk through what actually happens to a call, how an AI call center differs from a classic IVR and how to tell whether it fits your business. The terms used here are explained in the glossary.
What an AI call center is made of
| Part | What it does | Read more |
|---|---|---|
| Voice bot | Answers inbound and places outbound calls on your number, answers from the knowledge base, hands the call to an agent | AI calls |
| Speech analytics | Transcribes recordings and scores every call against your checklist | Speech analytics |
| Chatbot and shared inbox | Brings website and messenger chats into one window, AI helps with replies | Chats |
| Knowledge base | Your company documents, used as the source for AI answers | — |
| Console | Call log, call views, alerts, reports | — |
The key difference from a set of separate tools is the shared knowledge base. Update a rule once and it applies in voice and in chats.
How the AI handles an inbound call
- The call reaches your number. The AI connects to your existing PBX or SIP trunk; your number and carrier stay the same.
- The bot introduces itself. At the start of the call it says the caller is talking to an automated assistant. We see this as a strength: callers know who they are talking to and decide whether to continue.
- It answers from the knowledge base. The bot recognizes the question, finds the relevant passages in your documents and gives a short answer in its own words. If the answer is not in the knowledge base, it does not make one up.
- It hands over to a person. If the caller asks for an agent or the question goes beyond the scenario, the bot transfers the conversation according to your rules. The agent sees what has already been said and does not ask again.
- The result lands in your systems. After the call the recording is transcribed, scored and summarized, and the outcome goes to your CRM or to your own systems via webhooks.
How outbound calling works
Outbound calls run as campaigns. You upload a list, write a script with variables (name, date, amount), set a calling window and retry rules. The bot calls within the allowed hours, detects answering machines and records the customer's response — for example, pressing 1 confirms an appointment or booking. If the customer presses the opt-out key, the number goes on a do-not-call list and future campaigns skip it.
Typical outbound scenarios:
- confirming a booking or an appointment;
- payment reminders;
- confirming a delivery before the courier leaves;
- a short survey after a visit.
Speech analytics: scoring every conversation
The other half of an AI call center works with recordings rather than the bot. Every call is transcribed with speakers separated and checked against a checklist: did the agent greet the caller, find out what they needed, address the objection, agree on a next step. 100% of calls are scored, not the sample a manager has time to listen to.
The AI also tracks the caller's sentiment over the course of the call. Agents' mood and emotions are not assessed — that is a deliberate choice, not a technical limit.
Managers can ask a question across all calls in plain language, such as "why did customers decline this week?", and get an answer that links to specific conversations. More in our post on quality control for 100% of calls.
How an AI call center differs from an IVR
An IVR is a voice menu: "press 1 to…". It does not understand speech or answer questions; it only routes the call down a tree. A voice bot holds a conversation: it hears the question, looks for the answer in the knowledge base and replies. Key presses remain where they are more convenient than speech, for example to confirm something.
| IVR | AI call center | |
|---|---|---|
| Understands free speech | No | Yes |
| Answers questions | No, menu only | Yes, from your knowledge base |
| Scores conversations | No | Every call against a checklist |
| Handles chats | No | Yes, from the same knowledge base |
Where AI will not replace people
AI is good at repetitive conversations with clear rules. It is weaker at unusual situations, conflicts and decisions that require authority. That is why an AI call center always includes handoff to an agent, and the role of people shifts: they handle complex cases and review the conversations flagged by analytics.
Two more limits worth knowing up front:
- the bot's voice is Russian only; there is no Belarusian voice;
- transcripts can contain errors in names and numbers, so important details are best confirmed with a key press.
Getting started
Start with one scenario, not the whole call center. Pick one with many similar calls and an easy-to-check result: booking confirmation, appointment reminders, answers to frequent questions. A pilot usually looks like this:
- We connect your PBX or SIP trunk; your number stays the same.
- We load the knowledge base and set up the scenario.
- We test the conversation with test calls in the console.
- We switch it on for part of your real calls and compare with how things were.
What to prepare before a pilot
Most of the early effort goes into content, not technology. It helps to gather in advance:
- A knowledge base. Rules, prices, terms, answers to frequent questions. The more precise the documents, the more precise the answers: if there is no entry on a topic, the AI will not answer that question.
- A scenario. What the bot says first, which details it confirms, when it hands over to a person.
- A scoring checklist. Five to eight criteria you want calls checked against. See our guide to the call quality scorecard.
- Calling rules. Allowed hours, number of retries, what to do when a customer opts out.
How to tell whether the pilot worked
Write down success criteria before launch, or the review turns into an argument about impressions. Teams usually look at what they can count in their own systems: how many calls the bot closed without a person, how many it handed over and why, how the workload on front-desk staff changed, how many problem conversations analytics surfaced. Compare with the same period and the same call flow before the pilot.
Scenarios are versioned: every edit can be compared with the previous version and rolled back in one action. That makes short iterations easy — fix an answer, check it with a test call, switch it on.
Not sure whether AI or a traditional call center suits you? See the comparison. A demo will show how the AI works on your scenario.
FAQ
What is an AI call center in simple terms?
It is software that answers calls and chats from your company's knowledge base, calls customers from lists and scores every conversation. It hands complex cases to people.
Can AI fully replace call center agents?
No. AI takes routine conversations and hands unusual or difficult ones to an agent. You need fewer people for routine work, but people stay.
Does the bot tell callers it is an AI?
Yes. The bot says at the start of the call that the caller is talking to an automated assistant. We consider this part of honest service.
Do I need to change my number or PBX?
No. The AI call center connects to your existing PBX or SIP trunk; your number and carrier stay yours.
How is an AI call center different from a chatbot?
A chatbot only handles text. An AI call center adds a voice bot for calls and speech analytics, and serves chats from the same knowledge base.
How much does an AI call center cost?
Pricing is a subscription with a bundle of minutes and no per-seat fees: plans start at 329 BYN per month, see the pricing page.