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Reviewed and published by trentmaziarz, March 22, 2026. Discovered and drafted by our automated research pipeline.
Nasuni provides guidance and technical tools that allow its customers to build their own AI chatbots — using Microsoft Copilot Studio — that can answer questions based on files the company already stores in Nasuni. Nasuni also built its own internal chatbot called "Ask Nasuni," which runs inside Microsoft Teams and allows employees to ask questions answered by the company's own documents. This guidance was released in April 2024.
Details
The chatbot architecture uses Retrieval-Augmented Generation (RAG), where the AI searches for relevant documents first, then uses a large language model to synthesize an answer grounded in those actual files — reducing the risk of the AI fabricating incorrect information. Microsoft Copilot Studio handles text extraction and vector embedding (converting documents into numerical representations that AI can compare and search). Nasuni confirmed at least two customers — McKim & Creed and RWDI — began building Copilot chatbots from their Nasuni data. Nasuni built and deployed its own internal 'Ask Nasuni' chatbot for employee use within Microsoft Teams.
Products affected
Nasuni File Data PlatformMicrosoft Copilot StudioMicrosoft TeamsAsk Nasuni internal chatbot
Sources & Evidence
Company Disclosure
News Article
Other practices by Nasuni
OtherNasuni is developing a capability where large language models would analyze detailed records of how files are being read and written across its platform, then automatically suggest or apply changes to improve storage efficiency and reduce cost. Unlike many AI features that work with the content of files, this system focuses entirely on the technical behavior patterns of file storage — not what files contain. As of early 2026, this capability has been described by Nasuni executives but has not yet shipped as a generally available product.OtherNasuni is developing a capability where large language models would analyze detailed records of how files are being accessed and written across its platform, then suggest or apply changes to improve storage efficiency and reduce cost. As of early 2026, this remains under active development — described by Nasuni executives but not yet shipped as a generally available product.ProductivityNasuni offers open-source software tools that allow AI agents — software programs that can take actions autonomously, like a virtual assistant that can actually perform tasks rather than just answer questions — to securely access and work with files stored in Nasuni. Using an open standard called Model Context Protocol (MCP), these tools let AI agents search, read, and manage enterprise files. The initial open-source tools were announced in October 2025; a full commercial product called AI Activate entered invite-only preview in April 2026 with general availability planned for Q4 2026.
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