An AI call center is one where software agents hold real conversations with callers: answering, resolving what the person called about, and transferring the rest to your team. Three different products get sold under that name, and only one of them changes how many contacts reach your queue. Which one you need depends on your call types, not on the platform you run.
This guide is for people already running a contact center or a BPO calling program. It covers what is actually being sold, which calls an agent can finish on its own, where to put one in a center that already works, what it costs, and which numbers to expect to move.
What is an AI call center?
An AI call center is a contact center where software agents handle some share of the contacts from start to finish. The agent answers, works from your knowledge and your rules, completes the task the caller wanted, and transfers to a person when the conversation needs one. Every call is recorded, transcribed, summarized and tagged by outcome.
The pressure behind the question shows up in the employment data. US telephone call center employment, which the Bureau of Labor Statistics tracks as NAICS 56142, averaged 495,100 jobs in 2019 and stood at 307,200 in August 2026, a preliminary figure. The annual average has fallen in every full year since 2017 (BLS series CES6056142001).
One caveat on that number, because it gets misread: the series counts jobs at firms whose main business is operating call centers. An in-house support team inside a bank or a hospital is classified under banking or healthcare, so it is not in that figure at all. The decline is real for the outsourcing industry, but it is not a count of how many people answer phones in America.
The three kinds of AI sold for call centers
Three products are marketed as AI for call centers and they do different jobs. Agent assist helps the people you already have. Conversation analytics tells you what happened. AI agents take contacts themselves. Only the third needs a routing decision from you, because it is the only one that changes what reaches your queue.
| What it is | What it does | Whose day it changes | Effect on your queue |
|---|---|---|---|
| Agent assist, or copilot | Suggests answers, drafts notes and summarizes while a person is talking | Your agents, and their handle time | None. Every call still reaches a person |
| Conversation analytics and QA | Scores and tags calls afterwards, surfaces the reasons people contacted you | Your QA and workforce planning teams | None, until somebody acts on what it finds |
| AI agents | Answer and place calls, texts and chats, resolve the request, transfer the rest | Your callers, directly | Fewer contacts reach a person at all |
Knowing which one you are buying matters, because the strongest published evidence is about the first kind. A study of 5,172 customer support agents found that access to a generative AI assistant raised issues resolved per hour by 15% on average, and that the gain landed unevenly: less experienced agents improved in both speed and quality, while the most experienced saw small gains in speed and small declines in quality (Brynjolfsson, Li and Raymond, arXiv:2304.11771, published in the Quarterly Journal of Economics in 2025).
That is a finding about helping people work faster. It says nothing about how many calls an agent can finish without a person, and it gets quoted in AI agent pitches as though it did.
What can an AI agent handle on a call?
An AI agent handles calls where the information it needs is written down somewhere and the action it takes is defined. That covers answering questions from your knowledge, looking up a customer, checking availability, booking, rescheduling, cancelling, taking a message, qualifying a caller and routing. Everything else transfers.
On the Telvana platform that means:
- Answering immediately, at any hour, in English or Spanish, following whichever the caller uses.
- Answering from your knowledge base: policies, hours, procedures and the questions people actually ask.
- Acting mid-call: customer lookup, availability, book, reschedule and cancel, in the scheduling and CRM systems you connect.
- Transferring to a number you choose, under rules you set.
- Outbound campaigns from a contact list inside the calling hours you set, or calls placed from your own systems through the API.
- Texts and website chat as their own channels, each with its own instructions.
- Every call recorded, transcribed, summarized and tagged, plus a separate workspace per team or client program, an API, webhooks and an MCP server.
Simplicity is the wrong test. The useful one is whether a new hire could do that call on their first day from a written procedure. If yes, an agent can do it. If the call needs judgment, a policy exception, or reading someone's tone to decide what happens next, that one belongs with your team.
Where AI agents go in a center that already works
You do not route everything to an agent and hope. You pick the symptom you are trying to fix and deploy against that. Telvana deploys in four patterns, and each one takes a different set of calls, needs a different change on your side, and moves a different number.
| What is going wrong today | Pattern | Calls it takes | What you change | Number to watch |
|---|---|---|---|---|
| Hold times climb at peaks and callers hang up | An option in your phone menu | Whatever callers choose it for | One menu prompt, routed to a Telvana number | Abandonment in your worst hour, and how many callers pick the option |
| Nights and weekends go to voicemail | After hours and overflow | Every call outside staffed hours, plus the spillover | A forwarding rule on numbers you already publish | Voicemails left, and the size of the next-morning callback list |
| One client program or campaign needs its own coverage | A dedicated line | Every call on that number | A new Telvana number, published for that program only | Calls answered on that line, and transfers off it |
| Confirmation and follow-up lists never get worked | An outbound program | The calls nobody has time to place | A contact list, or an API call from your own system | Confirmations completed, and reschedules captured before the day |
Callers who pick the menu option and then change their mind keep their place in line, so nobody gives up their spot by trying it.
Most teams start with one pattern and add a second once they have read a few weeks of call records. Starting with two at once makes it impossible to tell which one worked.
What to keep with your team
Three product facts are worth planning around before you write your transfer rules, because they decide what the person on the other end of a handoff has to do.
A transfer is a plain transfer to the number you name. The person who picks up starts the conversation themselves, and the transcript and summary land in the dashboard afterwards rather than ahead of the call. Nothing retries a call that went unanswered, so an unanswered outbound attempt is an outcome in your records and a decision for you, not a loop the platform runs on its own. And the voice agent does not send texts during or after a call. Texting is a separate channel with its own agent, so if you want a confirmation in writing, that is an SMS campaign you set up deliberately.
Beyond that, keep the calls that need negotiation, a policy exception, or a judgment nobody has written down. If you cannot describe the right answer to a new hire, an agent cannot infer it either.
How much does an AI call center cost?
AI agents are priced on volume rather than on seats, which is what makes the comparison with hiring or outsourcing awkward. Telvana starts at $399 a month based on your call volume, plus a one-time setup fee that covers building, testing and launching your agent. There are no tiers to choose between. See pricing.
The comparison that actually helps is per call type, not per center. Outsourced calls are billed per agent hour or per minute of talk time, and the rate tracks where the agents sit, which puts onshore delivery at several times the offshore rate for the same work. We collected the published rates and built a scorecard for deciding which option should take a given call type in call center outsourcing vs AI agents.
One cost never appears on a quote, and it sits on your side: somebody has to write down the procedures the agent will follow. If your transfer rules live in your supervisors' heads, that is your real first task. It is also worth doing whether or not you buy anything.
Which call center metrics move, and which don't
An AI agent moves the metrics that depend on somebody being available: abandonment rate, average speed of answer, after-hours coverage, and the share of contacts that reach a person at all. It does not improve your team's average handle time, because the calls it takes never arrive at a desk.
That last point catches people out. If the agent takes the short, repeatable calls, what is left for your team is the longer and harder set, so handle time on the human queue goes up even though nobody got slower. Measure handle time by call type from the start, or you will read a change in your call mix as a drop in performance and go looking for a coaching problem that is not there.
Because every call is recorded, transcribed, summarized and tagged by outcome, you can count outcomes rather than calls. Before you route anything, write down the one number you expect to move and where you will read it, so that six weeks later there is something to check against.
How to add AI agents to your call center
Pick one call type, write its procedure down, route it, then read the transcripts. The whole sequence takes days rather than months, and the part that takes the longest is the part on your side.
- Pick one call type, not a department. Pull last month's reasons for contact, sort by volume, and take the highest one whose procedure already exists in writing.
- Write that procedure as if for a new hire: the questions to ask, the answers to give, what to do with each outcome, and the exact conditions for a transfer. This is the step that decides how the whole thing goes.
- Choose your pattern from the table above and name the number a transfer should land on. Agree that destination before launch, because an unanswered handoff is the part a caller feels immediately.
- Have the agent built and tested on your real call types before it takes a live call. Our team builds it from your scripts, FAQs, policies and transfer rules, and you approve it before anything goes live.
- Run it on one slice, then read the call records rather than the summary. Listen to ten transfers and ten resolved calls in the first week. The transfers tell you what is missing from the knowledge base. The resolved calls tell you whether the script is right.
Teams that skip step two spend the following month fixing the agent instead of adding the next call type to it.
Frequently asked questions
Is an AI call center the same as an IVR?
No. An IVR routes callers by menu choice and plays recorded prompts. An AI agent talks: it understands what the caller is asking in their own words, answers it, and takes the action the call was about. The two work together, since a menu option is one of the simplest ways to send calls to an agent.
Does an AI call center work with the phone system we already run?
Yes. Calls reach the agent the same way they would reach any outside number, so a menu option, a forwarding rule or a published Telvana number is enough and there is no carrier change or migration involved. See integrations for the systems an agent reads from and writes to during a call.
What happens when a caller needs a person?
The agent transfers the call to a number you choose, under rules you set: when the caller asks for a person, when the topic is one you keep for your team, or when the agent cannot resolve the request. The transfer is tagged in your dashboard with the transcript and summary.
Can AI agents make outbound calls as well as answer them?
Yes. Campaigns run from a contact list inside the calling hours you set, or your own systems trigger a call through the API when a record changes. Which outbound calls to automate first, and the consent rules that apply, are covered in AI outbound calling.
How many of our calls will the AI handle?
That depends entirely on your call mix, and anyone who gives you a number before seeing it is guessing. Count the contact reasons whose procedure is already written down and whose action is defined. That set is where to start, and it grows as you add call types.
We are an outsourced contact center. Can we run it for several clients?
Yes. Each client program gets its own workspace with its own agents, phone numbers and reporting, all under one account. That is how OakTech Systems runs its clients' calling programs on Telvana, with more than 20 agents in production.
Start with one call type
Book a demo and bring your top three call types by volume. We will tell you which of them an agent can take now, which need a procedure written down first, and which should stay with your team, and you will hear an agent handle one of them on the call. Telvana has taken more than 226,000 calls to date. Book a demo.