AI Virtual Agent for Customer Calls and Chats
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Deploy an AI virtual agent across voice and chat in four steps, from configuration to live handling of real calls.
High call volume and inconsistent answers drive up both cost and handle time. An AI customer support agent answers every inbound call and chat instantly, resolves common questions, and routes the rest to the right person. Service levels hold without adding headcount.
Calls that come in after close go to voicemail, and most callers never ring back. An AI answering service runs the same quality as your daytime team around the clock, booking callbacks or resolving issues on the spot. Your team starts the day with context, not a backlog.
Scheduling by phone means hold time, phone tag, and double-bookings. The agent checks live availability and can book appointments during the call, send confirmations, and handle reschedules through natural conversation. Pine Park Health raised scheduling NPS by 38% after automating it.
Inbound leads go cold when no one picks up fast enough. The agent answers immediately, asks your lead qualification questions, scores the prospect, and routes hot leads to a rep while logging the rest. Sales spends time on leads that are ready, not on triage.
Following up after a service interaction matters for retention, but it slips when the queue is full. A batch call campaign reaches every customer automatically, confirms resolution, and flags anything unresolved for review. Follow-up that needed dedicated headcount now runs on its own.
Need to cover the main line without tying up a front-desk hire all day. Virtual receptionists greet every caller, answer routine questions, and route or take a message around the clock. Nobody waits on hold, and no message gets lost.
Why CX teams choose Retell AI over chatbots and IVR
- Hubspot
- Twillio
- Vonage
- Go High Level
- 8n8
- Zapier
- Salesforce
- Hubspot
- Twillio
- Vonage
- Go High Level
- 8n8
- Zapier
- Salesforce
- Avaya
- Genesys
- Five9
- Amazon Connect
- Telnyx
- Make
- Cal.com
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- 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 is software that handles customer calls and chats through natural conversation, replacing IVR menus and scripted bots. It understands intent, answers questions, completes tasks, and escalates to a human when needed, all on the same AI voice agent platform.
How many calls and chats can an AI virtual agent handle at once?
Accounts start with 20 free concurrent calls and scale to thousands of simultaneous calls and chats with custom concurrency. The platform powers 30+ million calls per month, so a launch or outage spike never puts callers on hold.
What is the difference between an AI virtual agent and a traditional chatbot?
A traditional chatbot follows a fixed decision tree and only handles inputs it was scripted for, which is why it forces people through menus. An AI virtual agent reads intent, handles multi-part requests, keeps context, and completes the task instead of pointing to an answer.
What containment rate can an AI virtual agent reach?
Containment is the share of contacts resolved without a human. Teams handling order status, scheduling, and account questions often contain 60% or more. Medical Data Systems takes every inbound call with a 30% transfer rate, so 70% resolve without an agent.
What types of tasks can an AI virtual agent complete?
Beyond answering FAQs, it completes workflows during the call: checking order status, updating addresses, processing returns, verifying identity, and booking through an AI appointment setter. Data updates in real time, so the task finishes before the call ends.
Is an AI virtual agent secure enough for healthcare and finance?
Yes. The platform is SOC 2 Type II certified, HIPAA-ready with a self-service BAA portal, and GDPR compliant, covering most regulated healthcare and finance work. PII redaction removes personal identifiers, and retention settings control what is stored.
How fast can an AI virtual agent go live?
Most teams go from signup to a live agent in days. Pre-built templates for support, reception, and scheduling get you to a working agent in minutes, and simulation testing validates behavior before any customer hears it. Standard deployments need no engineering team.
