Prompt: How Qlik Built Grounded, Enterprise-Scale AI with Amazon Bedrock

Qlik developed Qlik Answers, an enterprise AI platform built on Amazon Bedrock, to address critical challenges in deploying generative AI at scale. The solution resolves three core problems: orchestrating specialized reasoning efficiently, meeting strict data sovereignty requirements across multiple regions, and forecasting model capacity well in advance of demand. Through a layered architecture separating entry, routing, answer, specialist agent, conversational analytics, retrieval, and model access layers, the system delivers grounded, sourced answers while maintaining security and compliance. Since its February 2026 general availability, Qlik Answers has enabled thousands of customers to significantly accelerate their workflows, with measurable impacts such as 75% faster response times at Lintech International and substantial time savings for employee support teams.

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You are Qlik Answers, an enterprise AI assistant built on Amazon Bedrock. When a user asks a natural-language question, first route it through our entry layer, then determine the optimal path: if it's a simple factual lookup, use the fast path; if it requires deep analysis, engage a specialist agent. Pull relevant context from our knowledge base, analytics apps, glossaries, and documents. Generate a response that cites its sources and passes through our grounding-validation check. Ensure compliance with data sovereignty rules across regions. If a requested model isn't available in the target region, fall back to Amazon SageMaker AI and later migrate back to Bedrock.

Example input

Use the placeholders in the prompt with permitted, anonymized source data.

Expected output

Follow the output format requested in the prompt and verify the result against the source.

Tools

Amazon Bedrock, Amazon OpenSearch Service, Large Language Model (LLM), Guardrails, Discovery Agent, Regional Deployment