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Organizations are beginning to operationalize agentic analytics across real decision workflows with Qlik Answers, hosted on Qlik Cloud, as the unified conversational interface. Qlik is seeing growing adoption of its agentic analytics capabilities as customers deploy them in production environments, bringing trusted, AI-driven insights directly into everyday business processes. Introduced earlier with the general availability of agentic analytics and the launch of the Model Context Protocol (MCP) server for third-party assistants, these capabilities enable organizations to combine AI reasoning with governed analytics and curated enterprise knowledge.
Organizations are deploying Qlik's agentic analytics in production workflows for operational decision-making.
Qlik recently introduced Discovery Agent, extending its agentic analytics platform for AI-driven insights.
Companies including Compass Healthcare, Malmo Redhawks, and Bystronic Group are deploying agentic analytics in real business processes.
Qlik's MCP server enables third-party assistants and AI agents to securely access governed enterprise data.
Qlik Answers serves as the unified conversational interface combining documentation and structured data.
Qlik is expanding its agentic ecosystem with additional agents for data discovery, quality, and pipeline monitoring.
"Organizations are looking for AI that doesn't just provide answers, but that can reason through complex data and clearly display the reasoning," shared Brendan Grady, General Manager, Analytics Business Unit at Qlik. "What we're seeing now is organizations putting agentic analytics into real workflows, connecting AI reasoning with trusted data and governance so teams can confidently act on insights."
In March, Qlik expanded these capabilities with the general availability of Discovery Agent. Together, they represent a shift toward AI systems that don't just generate responses, but can analyze trusted data, explain their conclusions and integrate directly into operational workflows.
Max Mosky, SVP, Strategy & Innovation, Compass Healthcare: "The beauty of Qlik Answers is that it makes both our documentation and structured data accessible through a conversational interface. Instead of spending time searching for information or analyzing data, teams can stay focused on driving outcomes for our business."
Andreas Hadelöv, Assistant General Manager, Malmö Redhawks: "In elite sport, there is no shortage of data. The hard part is making it useful in the moment and consistent across the organization. What is promising here is the open way Qlik is connecting analytics to emerging assistants and agents, because that gives teams a realistic way to experiment and evolve without rebuilding everything around one vendor."
Stefan Heinz, Senior BI Analytics Specialist, Bystronic Group: "We saw the potential for Qlik Answers immediately. We easily connected it to SharePoint, and within 15 minutes, we had a chatbot running. People were already impressed with what they saw."
These early implementations illustrate how agentic analytics can help teams move from insight to action faster by embedding reasoning-based AI directly into analytics and decision processes. By grounding AI outputs in governed data products and the associative logic of the Qlik Analytics Engine, organizations can maintain transparency, explainability, and consistency with established business logic.
As organizations continue to move from AI pilots to production deployments, Qlik is expanding its agentic ecosystem with additional agents focused on areas such as data discovery, data quality, and pipeline monitoring, along with broader integrations through the Model Context Protocol.
About Qlik
Qlik helps teams get more out of AI with data they can rely on and control. It delivers trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk, keep operating costs in check, and scale AI responsibly as needs evolve. Used by 75% of the Fortune 500, Qlik supports customers worldwide. Qlik works with the systems and partners customers already use, so teams can stay flexible without lock-in.
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