A Qlik®, a global company in data integration, data quality, analytics, and artificial intelligence (AI), announced the general availability of Qlik Trust Score™ for AI, an industry-leading innovation designed to help organizations assess whether their data is truly AI-ready before it even reaches a model. Integrated into Qlik Talend Cloud®, Qlik Trust Score for AI features a score specifically created for AI dimensions, helping customers establish the necessary data foundations for responsible and scalable Artificial Intelligence.
As companies accelerate AI adoption, many face a critical blind spot: they don’t know whether the data fueling their models is trustworthy or suitable for this purpose. Qlik Trust Score for AI solves this problem with a unique, intuitive score that shows teams where data trust breaks down. This helps prevent biases, deviations, or incorrect outcomes.
“Most companies still treat data reliability as an IT hygiene issue. But it’s not. It’s the foundation of every AI decision a company makes,” says Drew Clarke, Executive Vice President of Product and Technology at Qlik. “If you can’t measure data trust, you’re gambling with results, compliance, and customer experience. With Qlik Trust Score for AI, we’re giving leaders a real signal—not just subjective perception—that their data is fit for purpose. This is how you bridge the gap between AI ambition and impact.”
Qlik Trust Score for AI builds on Qlik’s original Trust Score framework, introducing three new dimensions specifically designed to assess AI readiness:
– Diversity: measures data representativeness and balance, helping reduce bias in AI training.
– Timeliness: captures the most up-to-date data flowing into AI models, ensuring relevance for more accurate decision-making.
– Accuracy: flags values that don’t meet user-defined business rules or unreliable quality expectations that could undermine organizational trust in AI.
Combined with existing metrics like Identification and Usage Capability, Qlik Trust Score for AI offers a practical way to validate datasets for use in AI training, RAG pipelines, or intelligent automations, with Security and LLM Readiness dimensions coming soon.
As part of Qlik’s vision for data quality and governance in AI initiatives, the company is also launching additional features, including Qlik Trust Score historization, enabling users to track trends over time and correlate changes in trust levels with subsequent impacts, such as model deviations or performance degradation.
Additionally, Qlik will launch an early-access program for a native AI-driven data curation experience in Qlik Talend Cloud, aimed at proactively detecting and resolving data issues early in the lifecycle. Slated for release in the second half of this year, this feature will combine automated rules, human-in-the-loop workflows, and platform-wide governance. This allows data teams and AI personas to collaborate more effectively on data quality fixes.
“AI initiatives still fail at an alarming rate—only a fraction generate value at enterprise scale,” says Ritu Jyoti, Group Vice President and General Manager for AI, Automation, Data, and Analytics at IDC.
“The missing link isn’t the model—it’s the data. Without visible metrics for data trust, organizations risk costly failures, unchecked bias, and stalled adoption. A unified trust signal, like Qlik’s Trust Score for AI, gives teams the concrete insight they need to make AI trustworthy and replicable.”
“Reworld is one of many Qlik customers focused on operationalizing trust in their AI strategy. The hardest part of AI is rarely the model—it’s trusting the data behind it. In our business, if we can’t trust the data, we can’t trust the decisions,” says Charles Link, Senior Director of Data and Analytics at Reworld. “A clear, ongoing signal that data is truly AI-ready sets a new standard. It brings trust out of the shadows and into the conversation where it belongs.”
According to a recent Qlik survey, only 42% of executives express full, auditable confidence in AI-generated insights, even though nearly 90% say AI is now central to their competitive strategy. Qlik Trust Score for AI bridges this trust gap with an objective, repeatable framework aligned with emerging governance standards.
Qlik is the first company to embed a unified AI-specific trust signal directly into the data pipeline. It combines measurement, monitoring, and remediation in a single experience. Qlik Trust Score for AI is now available to all Qlik Talend Cloud Enterprise plan customers.