Solution · Internal knowledge base
A structured, searchable knowledge base that the team actually keeps up to date — with AI search on top.
Overview
Wikis rot. Notion pages get forgotten. The knowledge is there, but no one can find it when they need it. A well-structured internal knowledge base — with AI search layered on — turns scattered documents into something the team actually uses.
Common problems
Sound familiar?
- 01Onboarding is 'ask the person next to you'
- 02Documentation is written once and never updated
- 03The same questions get answered in Slack every week
- 04Critical knowledge lives in one or two people's heads
What we build
The solution.
- Structured spaces for teams, projects and processes
- AI search that answers in natural language, with sources
- Ingestion from Drive, Notion, SharePoint, Confluence, Slack
- Role-based access and audit trails
Outcomes
01
Onboarding time cut in half
02
Fewer repeat questions in chat
03
Documentation people actually read
04
Institutional memory that survives turnover
Questions
Frequently asked.
- Is this different from Notion or Confluence?
- It sits on top of them. We keep your existing docs where they are and layer structure, search and AI answers across all of it.
- How is content kept fresh?
- Ownership per space, review reminders, and AI-suggested updates when source data changes.
- Can external partners access parts of it?
- Yes. Role-based access supports internal, contractor and client-facing views from the same base.
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