AUSTIN, TX – Testlio, the leading AI-powered testing platform, has launched its AI Chatbot testing solution, a human-led testing service built around a four-domain risk framework designed to reveal failures that erode customer trust.
Chatbots and AI assistants have become the front line of customer experience, and the margin for error is razor-thin. 70% of customers will switch to a competitor after one bad AI interaction, yet most chatbot testing relies on outdated methods and automated tools that miss real user interactions. Through early testing of Tesslio’s acquisitions for security protections and fallback management, nearly half of the most difficult problems came from models that combated fallback, escalation, and fallback behavior.
Teslio solves this problem by layering expert oversight into the testing process. Its expert-led service uses emotional intelligence and cultural judgment that automated tools lack, ensuring that AI not only works correctly but also truly represents product values.
“Every interaction is a moment of product trust. When those moments go wrong; misperceptions, out-of-product reactions, security failures, it destroys the trust and credibility that took years to build. Our AI Chatbot testing solution exists to protect that trust, by putting real human judgment between your product and AI failures that struggle to catch up with automated tools,” said Testliois CEO Summerliois.
Introducing LeoPulse: Four Domains of Risk, One Built Approach
Unlike traditional automated testing or rapid ad testing, Testlio’s AI Chatbot testing methodology is built around four risk domains that show how AI chatbots really fail in the real world: safety and security, consistency, accuracy and logic, and user experience.
Each test checks and scans eight different coverage areas, up to nine in RAG-based systems:
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Output Accuracy and Target Resolution
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Misinformation and Hallucination
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Data Privacy and Management of PII
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Safety Guardrails and Fallback Arrest
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Fairness and Justice
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Content Storage and Memory Management
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Adversarial Testing and AI Red Teaming
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Localization and Multilingual Behavior
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Quality of Retrieval and Placement of Facts (RAG-based systems only)
LeoPulse, Testlio’s proprietary AI trust score, determines AI deployment readiness by combining the performance of three key pillars — security, reliability, and power. LeoPulse™ serves as a benchmark for future developments. Risk-based weights and built-in security safeguards ensure that critical failures will not be masked by strong performance in less critical areas. Each test includes issues rated for importance and severity, actionable recommendations, and a dedicated Testlio client team to present findings and next steps. Teams can authorize a one-time test to get a baseline, or sign up for continuous validation to track their score over time as models are updated and new features are released.
Intelligence Human at Scale
Testlio’s AI Chatbot Testing solution is powered by a global community of trained testing experts. All testers involved in AI testing are trained to evaluate AI behavior beyond performance, including output quality, objective resolution, detection of hallucinations, and bias detection. Powered by LeoMatch, testers are matched to customer target audiences and markets, ensuring that analysis reflects real-world context. The result is getting teams up and running three times faster than manual tester selection, uncovering twice as many critical issues.
Testlio AI Chatbot testing is available now.
