Amazon Q Business
An enterprise AI assistant grounded in your company data.
❓ What is it?
A ready-made generative assistant that answers employee questions, summarises documents, and completes tasks using your organisation's own content — wikis, tickets, drives, databases — through 40+ built-in connectors.
💡 Why does it exist?
Most companies want "ChatGPT over our own data" without building a RAG pipeline. Q Business ships the whole stack — connectors, indexing, retrieval, chat UI, and per-user permissions — as a subscription product rather than a development project.
⏱️ When should you use it?
Pick Q Business for internal knowledge assistants when you want speed-to-value and IAM Identity Center–enforced document permissions. Pick Bedrock instead when you need full control over models, prompts, and a custom user experience.
🗺️ Where does it fit?
It sits on top of your content sources as a standalone web app or embedded panel. Identity flows from IAM Identity Center, so users only ever see answers derived from documents they are already allowed to read.
🔌 How do you integrate it?
Create an application, attach data-source connectors (SharePoint, Salesforce, S3, Confluence, and more), sync the index, assign user subscriptions, and share the web experience URL. Plugins add actions like creating a Jira ticket.
🧩 Commonly integrated with
🎯 Exam angle (AIF-C01)
- Differentiate the Q family: Q Business = enterprise knowledge assistant; Q Developer = coding assistant; Q in QuickSight = natural-language BI.
- Answer honouring user-level document permissions is its signature feature — expect a scenario about employees seeing only what they can access.