
Automate customer support calls with AI voice agents that sound genuinely human and resolve issues on the first contact.
Deploy agents that handle complex queries, book appointments, and integrate with your existing CRM and telephony.
Top AI for Customer Support & Experience picks
See all 133 AI for Customer Support & Experience tools →For customer support teams looking to automate phone calls with truly human-like conversations, Retell AI is a leading choice. Its platform excels with industry-leading low latency (~600ms) and the ability to handle complex, multi-turn dialogues, which traditional IVRs cannot. This allows it to resolve issues, book appointments, and reduce costs by over 50% according to user case studies.
See Retell AI in action
Your workflow, automated
Before & After
Human agents are overwhelmed with repetitive Tier-1 calls, leading to long wait times and burnout.
High agent turnoverAI handles all routine calls instantly, 24/7, freeing agents for complex problem-solving and improving NPS.
>50% cost reductionTry it with these prompts
Copy any prompt and paste it directly into the tool.
Use Retell AI to automatically book appointments. The agent should understand user availability and confirm a time slot. [Specify available time slots] and [Provide customer contact details].
Deploy Retell AI to manage customer service calls. The agent needs to understand common inquiries and provide accurate information. [List common customer questions] and [Provide links to knowledge base articles].
Configure Retell AI to qualify incoming sales leads. The agent should ask predefined questions to assess lead quality. [List qualification questions] and [Define criteria for a qualified lead].
Trusted by professionals
Works with your existing stack
How it compares
Retell AI is a complete, '3rd gen' voice agent platform, whereas a tool like Twilio Voice Intelligence provides the underlying components (like transcription and NLP) that developers use to build their own solution. Choose Retell AI when you need a faster path to deploying a fully-featured, human-like agent with a low-code framework and built-in QA. Opt for Twilio's ecosystem if your team has deep engineering resources and requires granular control to build a highly custom voice application from the ground up, integrating various APIs yourself.
Is it worth it?
Why Customer Support & Experience choose this tool
Key Use Cases
Retell AI stands out with its industry-leading low latency (~600ms) and human-like voice quality, making it a powerful choice for automating complex support calls. However, its advanced capabilities and enterprise focus suggest it's a significant investment best suited for larger teams with the resources for a proper implementation.
Frequently asked questions
What is the best AI voice agent for enterprise customer support?
How can I automate inbound support calls without sounding robotic?
Which conversational AI can handle complex customer queries over the phone?
Is there a HIPAA-compliant AI call center solution?
Can an AI integrate with my existing phone number and CRM for support?
How do I create an AI voice agent with Retell AI?
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Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.
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Take it with you
- Understanding "3rd Gen" Voice AI vs. Legacy IVR
- Key Features: Low Latency, Turn-Taking, and Function Calling
- Top 3 Use Cases for a CX Team
- Integrating with Your CRM and Telephony Stack
- Measuring Success: Key Performance Analytics
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About Retell AI
Full Description
Retell AI is a voice agent platform for customer support teams to automate phone calls. It uses LLM-based conversational AI to build, deploy, and manage voice agents that sound human, handle complex interactions, and scale to handle high call volumes.
Editorial Verdict
Retell AI stands out with its industry-leading low latency (~600ms) and human-like voice quality, making it a powerful choice for automating complex support calls. However, its advanced capabilities and enterprise focus suggest it's a significant investment best suited for larger teams with the resources for a proper implementation.
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