Qlik adds AI agents in order to turn analytics into action

Qlik has expanded its agentic analytics offering with new functions across Qlik Answers, Discovery Agent and MCP Server, alongside new agents for prediction, automation and analytics development. The release is intended to broaden the path from asking questions to taking action.

The update adds several tools to Qlik's existing analytics and AI portfolio. Qlik Answers remains the main interface, combining structured analytics with unstructured content, while Discovery Agent monitors data areas and flags anomalies or changes that may need attention.

The release also includes Automate Agent, which can trigger workflows in other systems using natural language, and Predict Agent, which builds machine learning models, generates predictions and interprets results. Analytics Agent has also been extended to support analytics development tasks as well as insight generation.

MCP Server will allow third-party AI assistants to use Qlik analytics in decision-making processes, giving users access to Qlik calculations and business context through assistants they already use.

Qlik has also expanded its semantic layer, adding shared business definitions for measures, dimensions and relationships so that analytics applications, Qlik Answers and external assistants can work from the same business meaning.

According to Qlik, adoption has picked up since the general availability of its agentic experience in February. Most Qlik Cloud accounts with agentic tools are actively using them, and Discovery Agent has surfaced more than 100,000 discoveries for customers since launch.

Higher Bar

The announcement comes as software suppliers and customers face pressure to show that AI tools can do more than answer questions in isolation. Businesses increasingly want systems that fit into existing workflows and produce outputs that can be acted on within operational processes.

Mike Capone, chief executive officer of Qlik, made that case in the company's description of the launch.

"The bar for enterprise AI is getting much higher. It is not enough to produce a fluent answer. AI has to understand the business in context, run on a trusted foundation, and connect insight to action in the systems teams already use. That is how organizations create value without adding more fragility, lock-in, or spend," said Mike Capone, Chief Executive Officer, Qlik.

Qlik is positioning the release around a broader sequence of work: detect changes, investigate causes, predict likely outcomes and then trigger action. It argues that combining those steps within one governed system can make analytics more useful in daily business operations.

Workflow Focus

The emphasis on workflow is central to the release. Discovery Agent is intended to identify early signals in data, while Predict Agent is aimed at forward-looking analysis. Automate Agent then links those findings to workflow execution in downstream systems.

This makes the expansion as much about operational use as analytics itself. Rather than treating AI as a separate layer, Qlik is trying to embed it more directly into the sequence from analysis to execution.

Analytics Agent, meanwhile, is aimed at users building reports and analytical outputs. It can support development and creation tasks, extending beyond earlier uses centred on surfacing insights.

The semantic layer is also part of this operational approach. Shared definitions are meant to reduce inconsistencies between applications and AI tools, particularly when multiple systems draw on the same data but interpret terms differently.

Customer View

One customer cited by Qlik pointed to the difficulty of maintaining trust once AI moves beyond a demonstration and into live operations.

"What stands out here is the focus on the part that usually gets harder after the demo, helping teams understand what matters, work through why it matters, and move into action without losing trust. For organizations trying to make AI useful in day-to-day operations, that combination of reasoning, prediction, and workflow follow-through is exactly where the conversation needs to go," said Charles (Cal) Link, Sr. Director - Data and Analytics, Reworld.

Qlik says it is used by 75% of the Fortune 500 and has increasingly focused its messaging on trusted data, governance and flexibility across existing customer systems. The latest expansion reflects that approach by linking analytics, AI reasoning and workflow action within the same set of products.

According to Qlik, Discovery Agent has surfaced more than 100,000 discoveries for customers since its general availability in February.