Connect a sample of your Confluence, Drive, Notion or SharePoint. We index it, ground it, and show you what a cited, permission-aware answer looks like on questions your team asks every day. At no cost. If it holds up, we roll it into Slack, Teams or a web widget and keep it accurate.
Every company past a certain size has the same problem. The answer to almost any operational question exists somewhere in the company's Confluence, Drive or shared inbox. Finding it requires knowing the right person to ping, the right search terms for the wiki, or the right folder in the shared drive. Most of the time people give up, ask a colleague who is also guessing, or make a decision without the information.
A knowledge assistant solves the retrieval problem without rebuilding your information architecture. It reads your existing sources, answers questions with a citation to the exact page and paragraph, and respects the permissions that already govern who should see what. You do not get a generic AI that hallucinates policies. You get a grounded answer from your actual documents, every time.
No platform to buy, no documents to reformat, no model to train from scratch. The pilot connects to a sample of your existing sources.
One or two of the sources where your team stores knowledge: a Confluence space, a Drive folder, a Notion database. You keep full control over which content is in scope.
We chunk the content, embed it into a vector index, and map every chunk back to its source document and page so every answer carries a citation your team can check.
You test the assistant on the questions your team actually asks. We show you answer accuracy, citation rate, and where the gaps are. You see the numbers before committing to anything.
If the pilot holds up, we connect all your sources, wire in your permission model, and surface the assistant where your team already works.
Every answer traces back to a source your team can verify. The assistant only shows what the person asking is allowed to see. And the index stays fresh as your knowledge changes.
The assistant retrieves the relevant passages first, then composes its answer from them. Every answer includes a link to the exact page and paragraph it came from, so your team can verify it rather than trust it blindly.
The retrieval step checks permissions before surfacing a passage. A new hire asking about compensation policy does not see the board's restricted documents. Permissions are inherited from your existing source systems, not reinvented.
The index syncs with your sources on a schedule you control. When a document is updated or a new page published, it is re-indexed within minutes, so answers reflect the latest version of your knowledge, not a stale snapshot.
Want the depth? How retrieval-augmented generation works, why citations beat a raw chatbot, how permissions are enforced, and how the index stays accurate are all broken down in the complete Knowledge Assistant guide.
A plain language question. A grounded answer with citations to the exact source documents and pages. No need to know which Confluence space to search, no need to ping a colleague, no need to guess.
The card on the right is illustrative. Your pilot is built from your own sources.
The pattern is always the same: a question that someone in the organisation already knows the answer to, trapped in a document nobody can find fast enough.
| Team | They ask | They get |
|---|---|---|
| New hires | How do I do X during onboarding? | A grounded answer from the onboarding docs, not a Slack ping |
| Support | What is the fix for this known issue? | The current knowledge article, cited to the exact section |
| Sales | Does the product do Z? What does the contract say about Y? | An accurate answer with the source document linked |
| Compliance | What is our policy on W? | The exact policy clause, with the document and revision date |
| Engineering | Where is the runbook for service V? | The right page in Confluence, with the relevant section highlighted |
The pilot is always free. After that you pay for the build and the ongoing accuracy work. The exact scope is set after the pilot, because it depends on your sources, your permission model, and how many teams you want to reach.
The knowledge assistant is a development and data engineering engagement, which is the work we are built for. A few that map closely:
Automating contract review and knowledge retrieval for a legal tech startup.
A knowledge-grounded portal that answered citizen questions from official source documents.
Making engineering runbooks and maintenance docs instantly queryable across shifts.
Tell us your work email and where your team's knowledge currently lives. We reply within 24 hours to set up a sample run. The pilot is free and you keep the accuracy numbers.
Two fields. We do the rest.
A free pilot on your real knowledge base. Grounded citations. Permissions respected. Then we ship it into Slack or Teams and keep it accurate.
Get a free pilot