Conversational AI testing
Chatbots and voice assistants transform customer interaction across every touchpoint. Testing this conversational AI ensures seamless, reliable interaction under real-life conditions.
Challenge:
Human-like interactions
Conversational AI systems must handle unpredictable user behavior, diverse language inputs, and multi-turn conversations across channels.
Traditional testing approaches fall short when it comes to validating real-world interactions. This leads to broken flows, misunderstood intents, and inconsistent experiences.
How QiTASC tests conversational AI
End-to-End conversation testing
We validate complete user journeys across chat, voice, and messaging to ensure consistent conversations.
Intent & response validation
We test if the AI correctly understands unexpected user inputs and delivers accurate answers.
Real-life conditions
For voicebot testing, we simulate accents, dialects, and background noise to ensure robust speech recognition.
Omnichannel consistency checks
We verify that conversations remain coherent and aligned across all touchpoints.
AI-driven test automation
We scale testing efforts efficiently and continuously improve coverage and accuracy.
Continuous testing and monitoring
We implement ongoing testing and performance monitoring to detect issues early.
Voicebot score
CAIQS is a tool to quickly score your voicebot`s quality under real conditions from poor to perfect.
Experts explain the voicebot score CAIQS
Video: Voicebot quality score
A stop motion animation explains how the QiTASC quality score for voicebots CAIQS works.
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More InformationVideo: Challenge of voicebot testing
Additional surrounding sound, interruptions, and accents has impact on the transmitted audio stream.
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More InformationTechnical background: Voicebot
Our automated test infrastructure connects to your AI-powered chatbots and conducts real-world testing scenarios using mobile devices, VoIP equipment, and virtual SIP phones.
Start automated VM & IVR testing
Let’s define a proof of concept or explore other touchpoints use cases.
