Qlik Streamlines Agentic Analytics Across Qlik Answers, Discovery Agent, and MCP Server to Deliver Contextual Answers

Qlik is announcing a major expansion of its agentic analytics capabilities, bringing together Qlik Answers, Discovery Agent, and MCP Server with new agents for prediction, automation, and analytics development to “support a more complete path from question to action.”

According to the company, Qlik Answers remains the entry point, combining structured analytics and unstructured content to deliver richer, more contextual answers. Discovery Agent monitors key data areas and helps surface important changes and anomalies early so users can act faster. Automate Agent executes actions and workflows in downstream systems based on insight and agentic reasoning. Predict Agent builds machine learning models, generates predictions, and helps answer forward-looking questions. Analytics Agent helps teams accelerate analytics development tasks and creation workflows more efficiently.

“The bar for enterprise AI is getting much higher,” said Mike Capone, CEO, Qlik. “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.”

Key advances in agentic analytics include:

• Qlik Answers brings together structured analytics and unstructured content in one governed experience, designed to support richer responses and follow-up reasoning rather than isolated prompts.
• Qlik is extending data products with shared, reusable business definitions—including measures, dimensions, and relationships—so Qlik Answers, analytics apps, and third-party assistants can work from more consistent business meaning across analytics and AI workflows.
• Discovery Agent monitors key data areas, detects anomalies and important changes, and delivers prioritized signals so users can investigate earlier and act faster.
• Analytics Agent can now support analytics development tasks in addition to generating insights, helping teams move through creation workflows more efficiently.
• Qlik extends the path from analysis into execution by enabling teams to trigger workflows directly using natural language.
• Users can ask forward-looking questions, and Predict Agent will build machine learning models, generate predictions, and interpret results to help teams act earlier and with more confidence.
• MCP Server allows third-party AI assistants to use Qlik analytics to support decisions, bringing Qlik’s context-rich calculations into the assistants’ teams already use while helping preserve value from existing Qlik investments.

Together, these capabilities create a more complete agentic experience: detect, investigate, predict, and act. They also reflect a broader Qlik view that analytics becomes materially more useful when answers are grounded in context, supported by explainable reasoning, and connected to execution, the company said.

This announcement is part of a broader set of releases at Qlik Connect 2026, Qlik’s annual customer and partner event.

For more information about this news, visit www.qlik.com.