AI Call Center Development
AI Call Center Agents That Hold Up on Real Calls
Call volume keeps climbing. Cost per call keeps climbing. Your best agents are tired of answering the same five questions all day. We build custom AI voice agents that take the routine calls, plug into the systems you already run, and hand the hard calls to your people with the full story attached.
Built by the team behind Lumi, our own voice AI agent for customer service. 100+ projects delivered across CRM, Data, and AI.
Definition
What Is an AI Call Center?
An AI call center uses AI voice agents to answer and resolve phone calls in natural conversation. Callers say what they need in their own words. The agent understands the request, looks up the right record in your CRM or order system, takes the action, and confirms it. When a call needs a person, the agent transfers it with a summary, so nobody has to start over.
It is not a smarter phone menu. A phone menu sorts callers into queues. An AI call center agent finishes the work.
Do you want an AI voice agent for your customer support?
Connect with an AI expertWithout an AI agent
Meet Dana. She Just Wants to Change Her Delivery Address.
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6:40 pm
Dana calls at 6:40 pm. She hears a menu with seven options. None of them fit, so she presses zero and waits eleven minutes.
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6:51 pm
An agent picks up, asks for her account number, and finds the order. Then the system says a different team handles address changes.
Agent 1 -
Transfer
Dana is transferred. The new agent asks for her account number again.
Agent 2 · Repeat -
Hang up
Dana hangs up and writes a review instead.
Customer lost
The Cost of Calls Like Dana’s
- $7.80
- Cost per assisted contact rose from $6.70 to $7.80 between 2024 and 2026.Deloitte, 2026 Global Contact Center Survey
- 38%
- Average contact center attrition reached 38% in 2025.Deloitte, 2026 Global Contact Center Survey
- 51%
- Having to repeat themselves to multiple agents is the top frustration trigger for 51% of customers.PolyAI, State of Customer Conversations 2026
With an AI agent
The Same Call, Rebuilt
Dana calls again. This time an AI voice agent answers on the first ring.
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Step 1
Dana says, “I need to change where my order is going.” The agent understands her without a menu.
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Step 2
It confirms who she is with details she already knows and pulls up her open order.
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Step 3
It updates the address in your order system and reads it back to her.
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Step 4
It texts her a confirmation and logs the call in your CRM.
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~90 sec
About ninety seconds. No hold. No transfer.
Now say Dana’s question is one the agent should not handle alone, like a billing dispute. The agent tells her it is connecting her to a specialist, then transfers the call.
- Why she called
- What was checked
- What is still open
The specialist already sees why she called, what was checked, and what is still open. Dana does not repeat a word. Your agents get fewer routine calls, and the hard calls arrive already briefed.
Pilot to production
Why Most AI Call Center Pilots Never Go Live
The demo is the easy part. In 2026, 64% of CX teams ran an agentic AI pilot, but only 27% had even one channel in full production (Gartner, via The Voice AI Brief).
The Handoff Loses the Story
The bot transfers the caller, but the context stays behind. The customer repeats everything, now with one extra step.
The CRM Breaks Quietly
Fields map fine in a test account. In production, records fail to save or get duplicated, and nobody notices for weeks.
It Slows Down Under Load
Five test calls feel instant. Five hundred at once, each with real system lookups, leave callers talking over a silent line.
Compliance Shows Up Late
Card numbers in transcripts, health details, rules about telling callers they are talking to AI. Pilots skip these. Production cannot.
None of these are model problems. They are integration problems. That is the work we do.
Our process
How We Take an AI Call Center Agent From First Call to Full Rollout
Our AI voice agent development process starts with your real calls, not a demo script.
Need AI engineers inside your own team instead?
You can also hire AI developers from us to extend what your team is building.
Discuss Your Goals-
Step 1: Call Audit
We study your real recordings and transcripts to find calls that are routine, frequent, and safe to automate. Not just the ones that demo well.
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Step 2: One Real Journey First
We pick a single call type and connect it to your live systems: telephony, CRM, and the order or billing platform behind it.
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Step 3: Design the Handoff
We decide exactly when the agent steps aside and what your person sees when it does.
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Step 4: Test Like Production
Real call patterns, interruptions, accents, slow systems, and peak volume, all before a customer hears it.
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Step 5: Go Live and Measure
We track resolved calls, transfer quality, and repeat calls, not only how many calls the agent kept.
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Step 6: Expand or Hand Over
Add more call types, then choose how we work together: Build & Deliver, Operate & Maintain, or Build Operate Transfer.
Live demo
Hear a Voice Agent We Built for Ourselves
Lumi is our own AI voice agent for customer service. We built it, we run it, and we keep improving it. That is how we learned where voice agents break and how to fix them. Talk to it and judge for yourself.
Experience LumiCall types
What an AI Phone Agent Can Take Off Your Queue
Start with the calls your team could answer in their sleep.
Inbound
4 call types- Order status, delivery changes, and returns.
- Appointment booking and rescheduling.
- Account updates, password resets, and balance checks.
- After hours calls and overflow during peaks.
Outbound
3 call types- Appointment and payment reminders.
- Callbacks and follow-ups.
- Short surveys after a resolved call.
Every call type goes live only after it passes the same production tests. Complex and sensitive calls stay with your people.
Need a voice agent beyond your support line? Hiring teams use Hire, our AI recruiting agent, to screen candidates by voice. For anything else, see our AI voice agent development.
- Contact center
- Your CCaaS platform
- Telephony
- SIP
- Speech & voice
- Swappable models
For Your Tech Team: Built on Your Stack, Not Around It
Call center automation only works when the plumbing underneath it is right.
- CRM
- Salesforce
- CRM
- HubSpot
- Orders & billing
- Your platform
Works With Your Phone Setup
We connect to your existing CCaaS platform and SIP telephony. No rip and replace.
Writes to Your CRM Correctly
Structured summaries, mapped fields, no duplicate records. CRM is where we started, with more than a decade inside Salesforce, HubSpot, and the data platforms around them.
Fast Enough for Real Conversation
We test response time under production load, not just in a quiet demo room.
Compliance by Design
Payment data redaction, careful handling of health details, and clear AI disclosure built into the call flow.
No Lock-In
Speech, voice, and language models can be swapped as better or cheaper ones arrive.
Someone Owns It After Launch
Operate & Maintain keeps the agent tuned as your products, prices, and policies change.
Want the full picture? See how we work as an AI agent development company, across voice, chat, and back-office agents.
Contact
Bring Us Your Busiest Call Type
Tell us which calls fill your queue and which systems they touch. We will show you how an AI call center agent would handle them, where the handoff goes, and what it takes to get it live.
- Scope before we start.
- A quote before we proceed.
- You only pay for what you approve.
FAQ