Qlik Debuts Agentic AI Capabilities to Scale Trusted Data for Enterprise Execution

At the Qlik Connect 2026 conference, Qlik unveiled a major expansion of its trust and governance capabilities designed to secure the future of autonomous AI. The company is positioning data products as the core unit of trust to ensure that enterprise AI acts on reliable information. This update introduces specific operational controls that help teams assess and improve the data fueling their critical decision-making processes.

Central to this announcement is the introduction of the Data Product Agent and the Data Quality Agent. These agentic AI tools allow teams to use natural language to create and manage data assets while automatically evaluating quality metrics. By utilizing these agents, organizations can pinpoint anomalies and generate Trust Scores without the heavy manual burden traditionally associated with data stewardship.

Qlik provides an end-to-end platform that moves information from raw sources into actionable decisions for 75% of the Fortune 500. The company delivers trusted data products, a powerful analytics engine, and AI agents that help businesses reduce risk and stay flexible. Their mission focuses on giving teams more control over AI through data that is both consistent and highly governed across various workflows. You can learn more about their vision at qlik.com.

A key highlight is the proprietary Qlik Trust Score, which now serves as a visible signal for AI readiness. This score evaluates datasets based on accuracy, timeliness, and completeness before any automated actions are taken. By making trust measurable, Qlik ensures that weak data does not lead to weak business execution as AI moves deeper into production environments.

The release also includes a new contract layer that defines explicit operating expectations for data producers and consumers. This Agentic Data Engineering approach shifts focus from how a pipeline is built to the actual business outcome required. Through these innovations, Qlik is enabling a new era of autonomous operations where data products are as accountable as any other software asset.