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

Qlik deployed its Qlik Answers platform on Amazon Bedrock, enabling 40,000+ customers to receive grounded, sourced answers from both structured and unstructured enterprise data. The solution uses a layered, multi‑agent architecture that routes inference requests across regions and leverages Bedrock Guardrails to enforce data safety and compliance. The design balances global scale with trust, but requires careful configuration of cross‑region routing and guardrail policies to maintain latency targets.

⚡ Key Takeaways

• Qlik Answers runs on Amazon Bedrock, serving 40,000+ customers with sourced answers.
• The architecture is multi‑agent, with distinct layers handling data retrieval, generation, and safety.
• Cross‑Region inference reduces latency for global users while Guardrails enforce compliance.
• Integration involves configuring Bedrock Guardrails and setting up multi‑region endpoint routing.
• Without proper guardrail configuration, the system may expose sensitive data or violate compliance rules.
• WhyItMatters: Engineers building production AI at scale can adopt a similar multi‑agent, guard‑rail‑enabled design to deliver trustworthy, low‑latency responses across global deployments.
• TechnicalLevel: Advanced
• TargetAudience: ML Engineers
• PracticalSteps:
• Define Bedrock Guardrail policies that specify permissible data sources and content filters.
• Deploy Qlik Answers agents in each target region and configure cross‑region routing in Bedrock.
• ToolsMentioned: Amazon Bedrock, Qlik Answers, Bedrock Guardrails
• Tags: RAG, AMAZON, BEDROCK, DEP

🔧 Tools & Libraries

Engineers building production AI at scale can adopt a similar multi‑agent, guard‑rail‑enabled design to deliver trustworthy, low‑latency responses across global deployments.

✅ Practical Steps

1. Define Bedrock Guardrail policies that specify permissible data sources and content filters.
2. Deploy Qlik Answers agents in each target region and configure cross‑region routing in Bedrock.

Want the full story? Read the original article.