Quality Assurance forAI Agents & Hallucinations.
Eliminate hallucinations, ensure brand safety, and monitor conversational accuracy in real-time. The specialized observability layer for your AI workforce.
Observability for All Major AI Platforms
Monitor AI agents from leading platforms and custom implementations. Platform-agnostic observability for your entire AI workforce.
AI Agent Platforms
Specialized observability for modern AI agents
Customer Support Platforms
Monitor AI agents across leading support platforms
Custom Solutions
Build your own? We've got you covered
Plus custom integrations for any AI platform or in-house implementation
Unpredictable AI. Predictable Quality.
As you scale your AI workforce, traditional QA fails. You need a system that understands context, identifies factual errors, and prevents brand damage in real-time.
Detect Hallucinations
Automatically flag when AI agents make up facts or provide incorrect info not in your knowledge base.
Ensure Brand Safety
Prevent biased, harmful, or off-brand responses by maintaining strict adherence to your guidelines.
Real-time Grounding
Cross-reference every response against your business ontology and documentation instantly.
Full Observability
for the AI Age
100% Interaction Monitoring
Unlike human QA, Oversai analyzes every single AI conversation. No sampling, no blind spots.
AI Evaluates AI
Use advanced LLM-powered rubrics to automatically score interactions for accuracy, sentiment, and resolution.
Edge Case Detection
Identify exactly where your AI model struggles and automatically escalate to human agents with full context.
Better Observability. Proven Impact.
Hallucination Detection
Interaction Coverage
AI Observability
QA Automation Speed
Scaling AI with Safety
Manual Sample
Checking 2% of chats manually. Hallucinations go undetected for days.
100% Coverage
Oversai analyzes 100% of interactions in real-time. Safety guardrails in place.
Trusted Growth
Scale your AI workforce with complete confidence and brand safety.
Learn More About AI Agent QA
Explore specialized resources for understanding and implementing AI Agent Quality Assurance
Traditional QA vs AI Agent QA
Discover why traditional QA methods fail for AI agents and what makes AI Agent QA essential.
LLM Hallucination Prevention
Learn how to detect and prevent AI hallucinations before they reach your customers.
AI Agent Brand Safety
Protect your brand with automated guardrails that ensure compliance and brand voice consistency.
Conversational AI Monitoring
Monitor every AI conversation in real-time with comprehensive observability and automated issue detection.
Glossary: Grounding
Understand how grounding ensures AI responses are supported by verified sources.
Glossary: AI Observability
Learn about comprehensive monitoring and analysis of AI agent behavior in production.
Glossary: Agent Drift
Understand how to detect and prevent AI agent performance degradation over time.
Frequently Asked Questions
What is Quality Assurance for AI Agents?
Quality Assurance for AI Agents is the process of monitoring, evaluating, and optimizing the performance of conversational AI systems. Unlike traditional QA, it focuses on detecting hallucinations, ensuring factual accuracy (grounding), maintaining brand voice, and preventing harmful or non-compliant responses in real-time.
How does Oversai detect AI hallucinations?
Oversai uses a multi-layered observability approach to detect hallucinations. By comparing AI responses against your business ontology and knowledge base (grounding), our system identifies when an agent provides information not supported by facts. It flags these instances in real-time for review or automatic mitigation.
Why is QA important for Conversational AI?
Conversational AI can be unpredictable. Without dedicated QA, AI agents may provide incorrect information, violate brand guidelines, or fail to handle complex edge cases. Oversai provides the guardrails necessary to deploy AI agents at scale with 100% confidence, ensuring every interaction meets your quality standards.
Can Oversai monitor AI agents from other platforms?
Yes. Oversai is platform-agnostic. We can monitor AI agents built on Intercom, Ada, Sierra, Zendesk, or custom LLM implementations. Our platform integrates via API to analyze 100% of your AI interactions, regardless of where they are deployed.
What metrics are used for AI Agent QA?
Key metrics include Hallucination Rate, Conversational Accuracy, Sentiment Polarity, Brand Adherence Score, Resolution Rate, and Human Escalation Frequency. Oversai provides a unified dashboard to track these KPIs across all your AI agents.
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