Qlik customer deployments show agentic analytics in use

Qlik said customers including Compass Healthcare, Malmö Redhawks and Bystronic Group have put its agentic analytics tools into production. Its Discovery Agent is also now generally available.

The deployments centre on Qlik Answers in Qlik Cloud, which serves as a conversational interface for analytics and enterprise knowledge. According to Qlik, customers are using the system in live decision workflows rather than limited pilot projects.

The update points to early use cases in healthcare, sport and manufacturing. In each case, organisations are combining governed data, analytics and AI reasoning in day-to-day work.

Discovery Agent is part of that broader push. Qlik said the tool extends its agentic analytics platform and gives customers another way to apply AI-driven insights across analytics and decision workflows.

Alongside the release, Qlik highlighted integrations through its Model Context Protocol server, which is designed to let external AI assistants and agents access Qlik analytics and governed enterprise data in a controlled way.

Customer Uses

Compass Healthcare said the appeal lies in easier access to both documents and structured data through a single interface.

“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,” said Max Mosky, SVP, Strategy & Innovation, Compass Healthcare.

Malmö Redhawks, the Swedish ice hockey club, highlighted the challenge of using large volumes of data consistently across an organisation. It also pointed to the value of open connections between analytics tools and external assistants.

“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,” said Andreas Hadelöv, Assistant General Manager, Malmö Redhawks.

Bystronic Group, an industrial technology company, described a fast initial setup, saying it connected Qlik Answers to SharePoint and had a chatbot running within minutes.

“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,” said Stefan Heinz, Senior BI Analytics Specialist, Bystronic Group.

Broader Shift

Qlik presented the customer examples as evidence that businesses are moving from AI pilots to live operational use. The systems are intended to analyse trusted data, explain conclusions and fit into existing workflows.

That reflects a wider market push to make generative AI more usable in business settings where data controls and auditability matter. Companies increasingly want tools that can draw on internal information without bypassing governance rules or producing opaque results.

Qlik said its approach combines AI reasoning with governed analytics and curated enterprise knowledge. It also said the associative logic of its analytics engine helps keep outputs aligned with established business logic.

Brendan Grady, General Manager of Qlik's Analytics Business Unit, said customers are now testing whether those ideas hold up in operational environments rather than demonstrations.

“Organisations are looking for AI that doesn't just provide answers, but that can reason through complex data and clearly display the reasoning. 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,” said Brendan Grady, General Manager, Analytics Business Unit, Qlik.

Qlik also said it is expanding its range of agents into areas including data discovery, data quality and pipeline monitoring, while widening integration through the same protocol. That suggests the company is positioning its software as part of a broader layer linking governed data to AI assistants used across different business applications.

The customer examples remain early deployments, but they show where software suppliers see demand emerging: less in standalone chatbots and more in systems tied to controlled data, embedded in routine decisions and expected to show how they reached an answer.