Digivante helps businesses evaluate AI-powered customer journeys using real-user testing designed to identify experience issues before launch.
Digivante has launched JourneyEval AI, a new evaluation service designed to help organisations test AI-powered customer experiences before they reach end users. The service combines real-user testing, UX expertise, and structured evaluation methodologies to assess how AI-driven websites, chatbots, search tools, copilots, and digital journeys perform in real-world scenarios.
According to Digivante, traditional testing methods often focus on technical accuracy and output quality but can miss broader customer experience issues related to relevance, usability, tone, and task completion. JourneyEval AI is designed to evaluate how AI features perform across the full customer journey rather than in isolation.
“AI products are only as good as their experience. JourneyEval AI evaluates that experience at AI speed, so teams ship with confidence, not assumptions,” said Conor Whelan, CEO, Digivante.
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Evaluating AI in Real Customer Contexts
JourneyEval AI combines Digivante’s crowdtesting network with QA and UX specialists to assess AI-powered experiences across websites, applications, and digital touchpoints. The company said the service can deliver up to 40 testing days’ worth of evaluation within 24 hours while supporting testing across more than 300 device, browser, and environment combinations.
Rather than focusing solely on individual AI responses, the service evaluates how AI capabilities function within broader customer interactions. This includes examining how AI search tools support product discovery, how chatbots perform within support journeys, and how AI-generated experiences contribute to conversion and engagement outcomes.
Supporting Faster AI Releases
The service is designed to fit into existing product development and quality assurance processes. Organisations can use JourneyEval AI for pre-launch validation, ongoing AI experience monitoring, or user acceptance testing for AI-powered features.
After defining the customer journey or AI capability to be evaluated, participants interact with the experience as customers would, allowing teams to identify usability issues, friction points, and opportunities for improvement before deployment.
“AI-powered features do not exist in isolation. An AI search experience sits inside a product catalogue. A chatbot sits inside a support flow. An AI-built signup form sits inside a wider conversion journey. JourneyEval AI evaluates the whole picture, so teams understand how the AI performs in the context customers actually encounter it,” added Whelan.
The launch reflects growing demand for testing approaches that assess not only the technical performance of AI systems but also their impact on customer journeys, user experience, and business outcomes.
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