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Case study · Knowledge assistant

An assistant that answers from your own documents

How a team stopped interrupting each other for answers that were already written down somewhere.

The starting point

Where it began

Identified in the survey

The survey surfaced a quiet, constant cost: the same questions asked over and over. Where’s the latest policy? How do we handle this case? New staff spent weeks just learning who to ask. The answers existed. They were buried across documents, drives, and people’s memories.

Architecture

How it fits together

Your existing documents become a searchable knowledge base. An AI layer answers from that material only, and always shows where the answer came from.

Sources
Procedures & policies
How things are done
Shared drive docs
PDFs, guides, notes
Past Q&A
Answers already given
Ingest
Index & embed
Searchable by meaning
Knowledge base
Kept in sync
Assistant
Retrieval + AI answer
Uses only your content
Cites the source
Links back to the doc
Access
Chat in Slack / Teams
Where staff already work
Web widget
For everyone else
The assistant answers strictly from your own content and cites the source. It is not guessing from the open internet.
Implementation

The walkthrough

01

Gather the knowledge

We identify the documents and procedures actually worth answering from. Not everything, just the material people keep reaching for.

02

Build the knowledge base

The content is ingested and indexed so it can be searched by meaning, not just exact keywords. A question phrased in plain language still finds the right passage.

03

Connect the assistant

An AI layer answers questions using only your content, and links the source document so anyone can verify the answer.

04

Put it where people work

The assistant lives in the chat tool the team already uses, so there is nothing new to remember or log into.

05

Add guardrails

It says "I’m not sure" rather than guessing, and points to a human when a question is outside what the documents cover.

06

Keep it fresh

Documents sync so answers stay current as procedures change. Handed over for the team to maintain without us.

Built with
Your existing documents & drivesRetrieval / vector indexLLM assistant layerSlack / Teams / web front-end

We choose the assistant layer to fit your privacy and hosting needs, including options that keep your documents in your own environment.

Before & after

What changed

Before
  • The same questions asked again and again
  • Answers scattered across docs and people
  • New starters took weeks to get up to speed
  • The people who know things were constantly interrupted
After
  • Instant answers, with the source linked
  • One place to ask, any time of day
  • New starters self-serve from day one
  • Experts interrupted far less often
The payoff
  • Fewer interruptions for the people who hold the knowledge
  • New staff become productive faster
  • Knowledge stays in the business, not just in people’s heads
  • Answers are consistent, current, and sourced

Could this work in your business?

Every project like this starts the same way, with a survey that finds the work worth automating. Book a free intro call and we will tell you honestly whether it fits.

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