Knowledge Copilot

A retrieval-augmented assistant that sits on top of your internal knowledge — SOPs, runbooks, past tickets, Notion and Drive — and gives employees instant, sourced answers instead of pinging a teammate or digging through wikis.

Teams lose hours every week re-answering the same questions and hunting for information scattered across tools. New hires ramp slowly; experts get interrupted constantly. The knowledge already exists — it just isn't reachable at the moment someone needs it.

A knowledge copilot closes that gap by grounding the model in your own material. The approach: ingest and chunk your documents, embed them into a vector store, and retrieve the most relevant passages at query time so the assistant answers only from your content — with citations back to the source, so an answer can be trusted and checked.

It deploys where people already work — a Slack bot or a web widget — rather than as one more tab to open. RAG-powered internal assistants have been shown to cut support resolution time by roughly half; the work worth paying for is scoping the right data sources, the retrieval quality, and the guardrails that keep it from answering when it shouldn't.