AI-Augmented Enterprise Document Search on Amazon Q Business

A permission-aware answer layer on Amazon Q Business that returns precise, sourced answers from your documents instead of a list of files to dig through.

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Most enterprise search is still fundamentally broken. Teams chase down information across SharePoint, Confluence, file drives, Microsoft 365, and S3, and even when they find the right file, they still have to read through it to extract the answer. This engagement replaces that experience with Amazon Q Business, using Q Index to build a permission-aware knowledge layer and chat agents that return precise, sourced answers instead of a list of links.

Quick Index configured as a permission-aware layer across your repositories, enforcing existing source-system access controls at query time. Quick Suite Spaces and chat agents tuned to your use case, from legal research to customer service. Quick Research for cited, deep-dive answers traced back to original documents. End-to-end connector mapping, indexing, and identity configuration included. Governance and administration runbook for ongoing extension delivered at close.

Highlights

Permission-aware retrieval that respects existing source-system access controls across SharePoint, Confluence, S3, and more
Full setup included: connectors, indexing, Spaces, chat agents, and a governance runbook delivered in 2 to 4 weeks
Applicable across legal research, knowledge management, customer service, and enterprise analytics use cases

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