Qlik's agentic architecture
Agentic AI does more than answer questions. It reasons, adapts, and acts. Qlik gives those agents something nobody else can: trusted, contextual data from our analytics engine and data products, so every action is grounded in data your business actually trusts.

Why agents matter
Powerful tools usually come with complexity, but Qlik's agentic experience (the combined experience of Qlik Answers®, AI agents, and core capabilities across analytics and data engineering) makes even tedious or tricky tasks easy. Now your team can focus on what's next — not what's already done.

Faster time to value

More contextually relevant insight

Automate the busywork
THE STATE OF AGENTIC
The State of Agentic AI is Here
79% of enterprise leaders say agentic AI is critical to their strategy, yet only 18% have fully deployed it. Find out what's standing in the way (and how to fix it).


What is agentic AI?
How Agentic AI Works

Breaks down goals into clear, actionable steps.
Makes decisions in real time, based on changing conditions.
Uses data, tools, and automation to keep moving forward.
Why It's Different

Doesn’t just respond — it acts on its own.
Adapts without needing constant direction.
Solves problems and delivers outcomes, not just answers.
Why It Matters with Qlik

Every decision is grounded in trusted, reliable data.
Drives real results, not just recommendations.
Helps teams act faster — with confidence in the data behind every step.
The Qlik agentic experience

Your AI assistant, powered by a network of agents
Qlik Answers® taps into specialized agents across analytics and data engineering to surface insights, automate tasks, and act on your behalf, all through natural language.

Agentic AI for analytics teams
Discovery, Knowledge, Predict, and Analytics agents monitor your data, surface anomalies, and generate insights so analysts spend less time digging and more time deciding.

Agentic AI for data engineering teams
Data Engineering specific agents like Data Quality and Pipeline handle the heavy lifting, so your engineers can focus on optimizing architecture, not maintenance.












