PHILADELPHIA, PA — Qlik has made its agentic data engineering capabilities generally available, expanding its cloud platform with artificial intelligence tools designed to help enterprises prepare governed data for analytics and AI applications more quickly.
The release moves technology first introduced at the company’s Qlik Connect 2026 conference into production, targeting one of the largest obstacles to enterprise AI adoption: the time required to prepare, validate and govern data before it can be used.
The new capabilities allow data engineering teams to use AI agents to identify data assets, evaluate data quality, define business terminology, create governed data products and build data pipelines while maintaining oversight of enterprise data.
Qlik’s approach emphasizes governance alongside automation, allowing organizations to accelerate AI projects without abandoning data lineage, quality controls or existing technology environments.
“Organizations are using many AI tools, it isn’t just one assistant or one model or a single data platform,” Executive Vice President of Product and Technology Drew Clarke stated. “Our approach is to bring governed Qlik context into the tools data teams already use, so they can accelerate engineering work with agents while preserving choice, transparency, and control.”
Among the additions are AI-assisted data quality monitoring, governed data product management, catalog glossary tools that connect business definitions to enterprise metadata, declarative pipeline development and expanded support for Model Context Protocol-enabled AI assistants.
The platform is designed to operate across cloud, on-premises and hybrid environments rather than requiring customers to adopt a single infrastructure or AI model.
Stephen Catanzano, principal analyst for Data & AI at Omdia, characterized data engineering and governance as persistent barriers to enterprise AI deployment.
“What’s notable about Qlik’s approach is the focus on embedding agentic capabilities directly into governed data workflows, helping organizations accelerate delivery of AI-ready data products without separating speed from oversight,” Catanzano stated.
Robin Astle, head of Qlik Analytics at Valpak, indicated the technology could shorten the time required to identify usable enterprise data while maintaining governance standards.
The announcement builds on Qlik’s broader artificial intelligence strategy, following the introduction of Qlik Predict Agent and Qlik Automate Agent in June. The company also plans to launch Qlik Analytics Agent during the third quarter of 2026.
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