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How Qlik built grounded, enterprise-scale AI with Amazon Bedrock

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How Qlik built grounded, enterprise-scale AI with Amazon Bedrock

Building grounded AI on Amazon Bedrock, Qlik Answers tackles a common enterprise problem: employees aren’t short on data. They are short on a fast way to ask a real question of it and get an answer they can trust. Analysts spend hours searching through documents, dashboards, and institutional memory to answer things a colleague could ask in a sentence. And when organizations try to close that gap with generative AI, many run into the same wall: answers without sources, no way to verify a result, and no path to deploy the tool in a regulated environment.

Qlik, a global leader in data integration, data quality, analytics, and AI, built Qlik Answers to solve that problem for its more than 40,000 customers worldwide. Since general availability in February 2026, Qlik Answers has moved from an early capability to daily use: Qlik’s Discovery Agent, an AI-driven anomaly and outlier detection agent, alone has surfaced more than 100,000 discoveries for customers since launch, and the majority of Qlik Cloud accounts with agentic tools turned on are actively using them.

This post explains how Qlik built the tool behind that adoption, and how Amazon Bedrock supports it at global scale.

Qlik identified three problems it needed to solve at the same time to bring Qlik Answers to production across its customer base:

Qlik Answers gives employees, not only analysts, a single place to ask a natural-language question and receive a grounded, sourced answer. Depending on the question, that answer can come from a knowledge base, a live analytics app, a glossary definition, or a document.


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