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

This article explains how Qlik built Qlik Answers, an enterprise AI system using Amazon Bedrock that provides grounded, sourced answers to employee questions across company data.

• Qlik Answers solves the problem of employees needing fast, trustworthy answers from enterprise data with verifiable sources
• Architecture uses seven layers: entry, routing, answer, specialist agents, conversational analytics, retrieval, and model access
• Grounding validation checks generated answers against source content using Amazon Bedrock Guardrails for safety and accuracy
• Amazon Bedrock enables multi-model flexibility, data sovereignty across 11 regions via cross-region inference, and selective managed service adoption
• Discovery Agent has surfaced 100,000+ discoveries since February 2026 launch; majority of accounts with agentic tools actively use them
• Customers report 75% faster response times and 7 hours per week saved; 15-minute deployment times achieved
• Key lessons: separate routing from reasoning, standardize orchestration frameworks, treat safety as system-level gate, use tenant-level feature flags, build capacity forecasting habits

Qlik Answers demonstrates how layered architecture, grounding validation, and Amazon Bedrock's regional flexibility enable enterprise AI at scale with compliance and reliability.