Keep production voice agents reliable
Monitor every call, catch failures early, and improve performance with AI QA built for production-scale voice operations.
Discover  Feature
Automatically monitor your voice agents across audio quality, language accuracy, and operational performance so teams can detect failures faster, debug issues quickly, and improve reliability at scale.
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Overview

Designed for Coverage, Built for Trust

QA isn’t just about reviewing calls anymore. It’s how production voice agents stay reliable at scale. Retell gives operators complete visibility into conversation quality, operational failures, and resolution performance across every call.

Audio
What it does
How human the agent sounds and how clean the conversation feels: naturalness, tonality, interruptions, transfer wait time.
How it Helps
Finds conversations that lower customer trust even when the workflow is technically completed.
When to Use
Tuning voice, pacing, and turn-taking after a prompt or model change.
Key Signals
Agent Naturalness
Natural Tonality Rate
Interruptions
Language
What it does
Whether the agent said the right thing: hallucinations, knowledge-based recall, transcription accuracy, sentiment.
How it Helps
Pinpoints hallucinations, bad retrievals, and incorrect responses before they spread across thousands of customer conversations.
When to Use
After a knowledge base update, a new flow, or whenever resolution rate dips without an obvious cause.
Key Signals
Agent Hallucination
Knowledge Base Recall
WER
Transcription Errors
User & Agent Sentiment
Performance
What it does
Whether the call did its job: resolution rate, tool calls, node transitions, latency, transfer success.
How it Helps
Shows whether your voice agents are actually resolving issues, completing workflows, and reliably performing in production.
When to Use
Ongoing. This is the scorecard your operations team lives in.
Key Signals
Call Resolution Rate
Tool Call Accuracy
Transition Accuracy
Response Latency
Transfer Success Rate
Transfer Wait Time
Feature

Find the exact moment conversations break down

Monitor trends across thousands of calls, drill into failures instantly, and trace issues back to the exact moment they happened.

How It Works

Set up AI QA  in a few steps

Create a cohort
Filter the calls you want to evaluate (by agent, date range, call duration, or post-call analysis fields), then set a sampling percentage and weekly maximum. Retell samples within your configured rules, so your QA scales with volume without scaling cost.
100 Minutes Free Trial
Define resolution criteria
Build QA around the outcomes your business actually cares about. Combine AI Evaluated Conditions (e.g. "AI agent was able to resolve user's query") with Performance Metrics (e.g. latency, hallucination rate, KB recall) and apply Weighted Scoring to reflect what matters most. Every analyzed call gets a pass/fail per criterion, and every analyzed call receives a score across your defined criteria, so teams can evaluate success consistently at scale.
100 Minutes Free Trial
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Investigate failures and improve fast
Drill into failed calls, replay conversations, inspect transcript-linked evidence, and identify exactly where the interaction broke down. Use QA findings to improve prompts, workflows, routing logic, and knowledge retrieval continuously.
100 Minutes Free Trial
Product Highlights

Built to Handle
the Real World

Root-cause analysis, not just QA scores.
See exactly why calls failed with transcript-linked evidence, hallucination tracking, tool-call accuracy, and workflow diagnostics.
From high-level trends to exact failure moments.
Move from portfolio-wide performance monitoring to individual call investigation in one click.
Your definition of "resolved".
Mix AI-judged conditions with hard performance thresholds, weighted to match what your business actually cares about.
Built for production operations.
No exports, disconnected dashboards, or third-party QA workflows. Monitoring, debugging, and iteration all happen in one platform.
Use Cases

Proven Impact Across 

Industries

Explore Retell Customers
GiftHealth
Leveraging automation and AI, GiftHealth makes specialty medicine and procedures more accessible and affordable for patients while easing the administrative load on prescribers.
Our numbers show that 45-50% of calls are completely resolved by Retell AI without ever touching a human. We haven't even fully expanded it to all our lines yet.
Jonathan Adly
Senior Engineer, GiftHealth
Inbounds
Inbounds.com has scaled and optimized its call campaigns without sacrificing the human oversight essential to its customers' success.
“Our early adoption of Retell AI, combined with our ability to deeply customize it and build our own infrastructure around it, really gives us an edge in the industry.”
Leonardo Danconia
CEO and Cofounder, inbounds.com
Swtch Energy
The cost of our customer support team was increasing 300 to 400 percent a year. By introducing Retell and building Lucas, we were able to reduce that burden by over 50 percent, drastically improve our SaaS margins, and still support our customers during high-growth and urgent situations.
Carter Li
CEO
Integrations

Seamless

Integrations with Your
Tech Stack

View All Integrations
  • Hubspot
  • Twillio
  • Vonage
  • Go High Level
  • 8n8
  • Hubspot
  • Twillio
  • Vonage
  • Go High Level
  • 8n8
  • Hubspot
  • Twillio
  • Vonage
  • Go High Level
  • 8n8
  • Hubspot
  • Twillio
  • Vonage
  • Go High Level
  • 8n8
  • Hubspot
  • Twillio
  • Vonage
  • Go High Level
  • 8n8
  • Hubspot
  • Twillio
  • Vonage
  • Go High Level
  • 8n8
  • Hubspot
  • Twillio
  • Vonage
  • Go High Level
  • 8n8
  • Hubspot
  • Twillio
  • Vonage
  • Go High Level
  • 8n8
Learn More

Discover More
Features

Explore how Retell AI can transform every part of your call operations. See the full range of capabilities designed for smarter automation, better efficiency, and enhanced customer experience.

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