Qlik uses Amazon Bedrock to scale grounded AI for 40,000+ customers
Qlik built Qlik Answers, an AI tool that answers employee questions with sourced, trustworthy responses by integrating Amazon Bedrock. The system addresses three key challenges: handling varied enterprise queries efficiently, complying with regional data sovereignty rules, and forecasting model capacity months ahead of demand.
Key points
- Qlik Answers uses Amazon Bedrock to answer employee questions with sourced, trustworthy responses for 40,000+ customers
- Discovery Agent has surfaced over 100,000 discoveries since February 2026, with most accounts actively using agentic tools
- Customers like Lintech International see 75% faster response times, saving up to 7 hours weekly, using Qlik Answers
Since its February 2026 launch, Qlik Answers has processed over 100,000 discoveries via its Discovery Agent, with most Qlik Cloud accounts actively using agentic tools. Customers like Lintech International report 75% faster response times, saving managers up to 7 hours weekly, while Bystronic deployed a chatbot in 15 minutes. The architecture separates routing, reasoning, and grounding checks—using Bedrock’s Guardrails for content filtering and validation—to ensure accuracy and compliance. Qlik’s multi-model flexibility and cross-Region inference via Bedrock enable global scalability without sacrificing data residency controls.
The story so far
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How Qlik built grounded, enterprise-scale AI with Amazon Bedrock
AWS Machine Learning Blog · 7 October 2026
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This text was published by AWS Machine Learning Blog and written by Sunil Yerkola. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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