Context

In most organizations, finding the right information means digging through multiple folders, opening huge PDFs, or asking colleagues for help. This constant searching slows work, wastes time, and increases the risk of using outdated or incomplete information.

Solution

DocQuerry is a low-code knowledge assistant built on Microsoft Copilot Studio, powered by Azure OpenAI, Power Automate, and SharePoint/OneDrive document storage. Employees can instantly ask questions in a natural chat interface and get precise answers pulled directly from large PDFs, manuals, reports, and policies. DocQuerry automatically scans connected files using retrieval-augmented generation (RAG) and semantic search, returning only the most relevant information in seconds — eliminating the need for scrolling, keyword hunting, or reading documents page by page.

Impact

DocQuerry makes information discovery fast, accurate, and effortless — freeing employees to focus on real work instead of searching for it. With Microsoft-grade security and a scalable low-code architecture, DocQuerry grows easily across departments, topics, and document libraries, keeping critical knowledge accessible to everyone.