Call centers

AI call center software that handles your inbound volume

Build AI call center agents that answer high inbound volume, resolve routine calls, and escalate complex cases to your team with full context. Cut average handle time without adding headcount.
Teams of every size trust Voiceflow for AI automation across their business
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Build

What an AI call center does for your contact center

An AI call center uses AI agents to handle inbound calls and chats the way your team does: answering questions, pulling up account details, and routing the calls that need a person. Contact center AI works best on the volume that eats your queue — order status, password resets, billing questions, hours, and policy lookups.

Voiceflow lets you build voice and chat agents that connect to your knowledge base, so answers stay accurate as your docs change. When a call needs a human, the agent escalates with the full transcript and any details it collected. You get conversation-level analytics to see what's deflecting, what's escalating, and where to improve.

The result isn't replacing your agents. It's giving them coverage at peak, after hours, and across languages, so they spend their time on the calls that actually need judgment.

Benefits

What AI does for call center operations

Absorb peak call volume
AI call center agents take routine inbound calls during spikes, so wait times and abandon rates stay down.
Deflect routine calls
Account questions, order updates, and password resets get resolved instantly from your knowledge base.
Escalate with context
Complex calls route to a human agent with the full transcript and any details the AI already collected.
Cover after hours and languages
Customers get consistent answers at 2 a.m. or in another language, without overtime or extra staffing.
Overview

How AI call center agents are built on Voiceflow

Why Voiceflow

Why contact centers build AI agents with Voiceflow

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See every call
Transcripts and conversation analytics show what the AI deflects, what it escalates, and where to fix it.
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Match your real workflows
Configure every step of the agent to fit your scripts, escalation paths, and compliance requirements.
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One platform, every channel
Extend the same AI agents from phone to chat to new use cases without rebuilding your stack.
Security

Purpose-built for enterprise scale

Delivering a powerful platform that keeps customer data safe and end-user interactions secure.
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SOC-2 Type II
Excellence from design to operation: data privacy, processing integrity, and confidentiality stay top of mind.
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ISO/IEC 27001:2022
The highest organizational standards for information security management, ensuring your data stays private.
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GDPR Compliant
Personal data remains personal. Advanced user permissions lets users define handling procedures.
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HIPAA Compliant
Safeguarded systems designed to keep protected health information (PHI) secure.
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Frequently asked questions
What is an AI call center?

An AI call center uses AI agents to handle inbound calls and chats automatically, instead of routing every contact to a person. The AI answers routine questions, looks up account details, and passes the harder calls to a human agent with full context.

It's not a single product you buy. You build it on a platform like Voiceflow by connecting an AI voice agent to your knowledge base, telephony, and CRM, then deciding which calls it handles and which it escalates.

What can AI call center agents handle?

AI call center agents handle the high-volume, repeatable work that fills your queue:

  • Account and order status questions
  • Password resets and authentication
  • Billing and payment lookups
  • Troubleshooting and how-to guidance
  • Appointment scheduling and FAQs

When a call needs judgment or a human touch, the agent escalates it with the transcript and collected details, so your team doesn't start from zero.

How much does AI call center software cost?

Cost depends on call volume, the channels you cover, and how much the AI handles versus escalates. Most teams price it against the alternative: the cost of a human-handled call versus a deflected one, plus the headcount you avoid adding at peak.

With Voiceflow, you build on a platform that's model-agnostic, so you can pick a cheaper or stronger LLM per use case and control cost as volume grows.