How Qlik built grounded, enterprise-scale AI with Amazon Bedrock
Qlik Answers on Amazon Bedrock: how one analytics vendor grounded enterprise AI across 40,000+ customers at scale.
Why it matters
A vendor case study showing a production multi-agent architecture with cross-region inference and guardrails on Bedrock. Relevant to enterprise buyers evaluating grounded AI and retrieval patterns; limited to Qlik/AWS practitioners unless the architecture pattern generalizes.
The key facts
13 to knowQlik Answers built on Amazon Bedrock
Multi-agent architecture with layered design
Cross-Region inference capability
Amazon Bedrock Guardrails for trusted AI
Serves 40,000+ Qlik customers
Grounded answers across structured and unstructured enterprise data
Global scale deployment
Qlik built Qlik Answers on Amazon Bedrock
40,000+ customers access grounded answers across structured and unstructured data
Architecture uses layered, multi-agent design
Cross-Region inference deployed
Amazon Bedrock Guardrails used for trusted AI enforcement
Focus on sourced, grounded responses
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Qlik built Qlik Answers on Amazon Bedrock to give its 40,000+ customers grounded, sourced answers across structured and unstructured enterprise data. Learn how a layered, multi-agent architecture with cross-Region inference and Amazon Bedrock Guardrails delivers trusted AI at global scale.