Retell AI
AI phone agents that handle inbound and outbound calls so your team handles fewer routine conversations.
Independent overview by new Mantra · updated July 15, 2026
- Category
- Customer Service
- Pricing
- Pay as you go $0.07–$0.31/min (voice agents), from $0.002/msg (chat); $10 free credits; Enterprise custom
- Implementation
- 3-6 weeks
- Adoption risk
- Medium
- Integrates with
- Twilio, Vonage, Go High Level, HubSpot, n8n, Salesforce, Zapier, Make
What Retell AI does
Retell AI is a platform for building, deploying, and managing AI-powered voice agents that conduct real phone calls. The agents can book appointments, qualify leads, answer common questions, transfer callers to a human, and take actions inside connected systems — all during a live call, without a script.
The platform is built on large language models and uses a proprietary voice orchestration layer designed for low latency, which the vendor states is approximately 600ms. That responsiveness is meant to keep conversations from feeling stilted or robotic. Agents can handle both inbound calls — answering when a customer rings — and outbound calls, including batch calling campaigns.
Retell connects to solutions many businesses already use: Twilio, Vonage, HubSpot, Salesforce, Zapier, Make, n8n, and Go High Level, among others. It also supports SIP trunking, so you can route calls through your existing phone numbers rather than starting from scratch. The vendor cites HIPAA, SOC 2 Type II, and GDPR compliance, which matters if you operate in healthcare or finance.
Key capabilities
Appointment and Lead Handling
Agents can book appointments and qualify leads mid-call by pulling from and writing back to connected CRMs and calendars, so records update without manual entry.
Live Call Transfers
When a caller needs a human, the agent hands off the call and passes along the conversation context so the person picking up is already briefed.
Drag-and-Drop Call Flows
A visual, agentic framework lets you design conversation paths with built-in guardrails, without writing code for every branch or edge case.
Post-Call Review and QA
Every call is transcribed automatically, giving you a reviewable record of all interactions rather than a sampled subset — useful for spotting recurring issues or training gaps.
Batch Outbound Calling
You can run outbound call campaigns across a contact list without concurrency limits, with conversion tracking available after each campaign.
Multilingual Conversations
Agents can hold calls in multiple languages, which the vendor surfaces as a supported capability for teams serving customers who prefer languages other than English.
Best for
- Businesses fielding a high volume of routine inbound calls — scheduling, qualification, status checks — where human time is the bottleneck
- Teams in healthcare, finance, retail, or professional services that need HIPAA, SOC 2, or GDPR compliance baked into their call infrastructure
- Operations already using Twilio, Vonage, HubSpot, or Salesforce that want to add voice AI without replacing their existing stack
- Companies running outbound sales or follow-up campaigns that currently rely on manual dialing or basic auto-dialers
- Organizations that want full-call review and quality assurance data across all calls, not a manual spot-check sample
Worth knowing
- Implementation is estimated at three to six weeks, so this is not a same-day deployment — plan for a meaningful setup and testing period before going live.
- Expect some complexity in configuration, integration, or change management; it suits teams with at least basic technical resources or an implementation partner.
- Pricing is not published openly — you will need to contact the vendor for current rates, which makes budget comparisons harder upfront.
- If your call volume is low or conversations are already well-handled by a small team, the investment in building and managing AI agents may not be justified.
- Voice AI works best for repeatable, structured conversations; if most of your calls require nuanced judgment or relationship-sensitive handling, a hybrid model with human oversight is worth planning for explicitly.
Most businesses looking at Retell AI are really trying to stop leads leaking out of missed calls. If that is the problem, start with where your leads are actually going — it puts a number on what the missed calls cost before you pick a solution.
Related solutions
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