With Retell, weβve increased scheduling NPS by 38%, and filled underutilized provider capacity, allowing our team to focus on meaningful patient care instead of phone tag.
AI Virtual Agent for Customer Calls and Chats
Launch an intelligent virtual agent across voice and chat in four steps, from configuration to live calls.
Conversations your AI virtual agent resolves across voice and chat

High volume and inconsistent answers push up both cost and handle time. An AI customer support agent answers every call and chat instantly, resolves the questions that make up most of your queue, and routes the rest to the right person. For most support lines a small set of question types covers the majority of contacts, and those are the ones that never need a person again.

Calls that come in after close go to voicemail, and most callers never ring back. An AI answering service holds the same standard as your daytime team around the clock, resolves what it can, and books a callback for the rest. Peak-season overflow works the same way, so a seasonal spike stops meaning missed calls.

Scheduling by phone means hold time, phone tag and double bookings. The agent checks live availability, books the appointment during the call, sends the confirmation, and handles the reschedule when it comes. Pine Park Health raised scheduling NPS by 38% after automating it.

Inbound leads go cold when nobody picks up fast enough. The agent answers immediately, asks your lead qualification questions, captures the details into your CRM as structured fields, and transfers a qualified prospect to a rep while the interest is live. Sales stops triaging.

Order status, returns, address changes, policy details, balance questions. These are the calls a chatbot can only describe and a person has to look up. The virtual agent reads the record, completes the change, and writes the outcome back before the call ends, so nothing lands in a queue for someone to redo.

Callers hate phone trees, and a thirty-option menu still sends people to the wrong place. The agent asks what the caller needs, understands the answer in their own words, and connects them to the right team or resolves it outright. You keep the routing logic and lose the menu. Teams that want a named front-desk persona start with AI receptionists instead.
Retell is the AI Voice Platform Enterprise Contact Centers Run On
Why CX teams choose Retell AI over chatbots, IVR and answering services



- Hubspot

- Twilio

- Vonage

- Go High Level

- n8n

- Zapier

- Salesforce

- Hubspot

- Twillio

- Vonage

- Go High Level

- 8n8

- Zapier

- Salesforce

- Avaya

- Genesys
- Five9
- Amazon Connect

- Telnyx
- Make
- Cal.com
- Avaya

- Genesys
- Five9
- Amazon Connect

- Telnyx
- Make
- Cal.com
Cut Costs by 90% with AI phone Agents
Pay as you go
$0 to start.
Enterprise Plan
For companies with large volumes, data or deployment requirements, or support needs.
Frequently asked questions.
What is an AI virtual agent?
An AI virtual agent, also called an intelligent virtual agent or IVA, is software that handles customer calls and chats through natural conversation instead of a menu or a scripted bot. It understands what the caller wants, answers from your knowledge, completes the task in your systems, and transfers to a human when the situation calls for one. Retell runs it on the same AI voice agent platform that powers 100+ million calls a month.
How is an AI virtual agent different from a chatbot or an IVR?
An IVR makes the caller map their problem onto your menu. A chatbot follows a fixed decision tree and only handles the inputs somebody scripted. An AI virtual agent reads intent from plain speech, handles multi-part requests, keeps context across the whole conversation, and finishes the task rather than pointing at an answer. That is also why it handles the calls a phone tree routes to the wrong department.
How do I integrate an AI virtual agent with my existing CRM and telephony systems?
Two separate connections, and both are standard. On the data side, the agent reads and writes your CRM, EHR, ticketing platform, calendar or order system through native integrations for HubSpot, Salesforce, Zendesk, Shopify, GoHighLevel, Cal.com, Zapier and n8n, or through custom functions that call your own API during the conversation. On the telephony side, forward an existing number, connect a SIP trunk, or import numbers from Twilio, Telnyx or Vonage. Retell also runs alongside Five9, Genesys, Avaya, Amazon Connect and RingCentral, so you do not replace your contact center to add an agent to it.
Can we keep our existing phone numbers?
Yes. Keep the number and the carrier and forward calls to Retell, connect your SIP trunk directly, or import numbers you already own from Twilio, Telnyx or Vonage. Caller ID stays intact. You can also buy a new number inside the platform, which requires identity verification first, so allow a little time for that step if you are starting from scratch.
How does an AI virtual agent escalate to a human?
You define the triggers: a specific intent, a negative sentiment turn, an explicit request for a person, or a gap in the knowledge base. When one fires, Retell transfers the live conversation and passes the transcript, the summary and the fields the agent already captured to the receiving rep, so the caller never starts over. You also decide what happens when the transfer fails. Route to a second team, schedule a callback, or write a structured ticket, so a busy queue never turns into a dropped customer.
What percentage of calls can an AI virtual agent handle without a human?
Containment is the share of contacts resolved with no human involved, and it depends on how repetitive your queue is and how deeply the agent connects to your systems. Teams handling order status, scheduling and account questions commonly reach 60% or more. Everise reached 65% ticket containment on its service desk. Medical Data Systems takes 100% of inbound calls with a 30% transfer rate, so 70% resolve without an agent. Expect a lower number in month one and a higher one after two rounds of tuning.
How do you stop an AI virtual agent from giving wrong answers?
Three layers. The agent answers from the knowledge you connect rather than improvising from a general model. When that knowledge does not cover the question, it escalates instead of guessing. And every conversation gets scored, so accuracy problems show up in the dashboard within hours rather than surfacing in a complaint weeks later. Before launch, run the agent through simulated calls covering your real edge cases and fix what fails there.
Does an AI virtual agent work in languages other than English?
Yes, 55+ languages with automatic detection, including switching language mid-call when the caller does. This matters most on lines where English is the minority: bilingual reception, Spanish-first support queues, and multi-market service desks. You can assign a distinct voice per language rather than running an accented English voice through a translation layer.
What does an AI virtual agent cost to run at our volume?
Voice runs $0.07 to $0.31 per minute depending on the voice and model you choose, with no platform fee, and chat bills per AI message. Your effective rate depends on average handle time, the voice provider, and how much reasoning each call needs, so model the cost on minutes rather than on calls. Accounts start with 60 free minutes and pay only for what they use. Enterprise plans carry custom pricing and custom concurrency for teams that want a committed rate.
How many calls and chats can an AI virtual agent handle at once?
Accounts start with 20 concurrent calls and scale to thousands of simultaneous calls and chats with custom concurrency. The platform powers 100+ million calls per month, so a launch, a campaign or an outage spike never puts callers on hold. If you expect a seasonal peak, raise concurrency before the season rather than during it.
Is an AI virtual agent secure and compliant enough for regulated work?
Retell is SOC 2 Type II and ISO 27001 certified, HIPAA-ready with a self-service BAA portal, GDPR compliant, and TCPA compliant for outbound contact. PII redaction strips personal identifiers from transcripts automatically, and retention settings control what is stored and for how long. That covers most regulated healthcare and finance work.
How long does it take to get an AI virtual agent live?
Two honest paths. A self-serve support, reception or scheduling agent runs on a pre-built template and reaches a live test call the same day, with identity verification and number provisioning as the only gates. An enterprise deployment with CRM write-back, SIP integration, compliance review and a scoped pilot typically runs three to seven weeks from kickoff to production traffic. Most teams shorten that by starting on one queue or one shift rather than the whole line.

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