For internal teams
The internal knowledge base
your team will actually use.
One source of truth for policies, procedures, FAQs, and training. Search, AI chatbot, version history, audit trails. Day-one access, no sales call required.
Knowledge is scattered. Trust is gone.
Policies in SharePoint. Procedures in Notion. FAQs in Slack threads. Training in someone's Google Drive. The cancellation policy lives in five places and none of them quite agree. Your team stopped trusting the wiki two years ago, so they ask each other instead.
That's not a knowledge problem. That's a knowledge management problem. Tools that were meant to be the source of truth became the dumping ground.
A real knowledge base earns the trust back.
One place. Everything findable. Nothing stale.
KnowledgeScout gives you one application your team logs into for the answers they need. Articles live in categories with tags. Search runs across everything. The AI chatbot answers in plain English with citations to the source. Version history catches every edit. Review dates flag content that's gone stale.
Whether you call it a knowledge base, an employee wiki, or an internal SOP library, the job is the same: a single, structured place where your team can find what's true today, not what was true in 2022. With AI agent integration via MCP, the same content also feeds your internal copilots and automation tools.
If you've outgrown Confluence, Notion, or SharePoint, this is the purpose-built alternative.
What you get
Everything an internal knowledge base actually needs. None of the project-management baggage of broader workspace tools.
Search + AI chatbot
Full-text search across articles, FAQs, sections, uploaded documents, and slideshow content. AI chatbot answers in plain English with citations. More on search →
Categories, tags, and structure
A taxonomy your team can navigate. Categories scope content per team or function. Tags cut across categories. Browsable for the people who don't search.
Version history
Every save creates a version. Diff any two versions, restore an old one, see who changed what and when. Nothing gets quietly overwritten.
Review dates that nag
Set a review schedule per article. When a review date passes, the article is flagged in admin reports and to readers. Stale content stops hiding.
Read acknowledgements
Mark articles as required reading. Track who's read them. Re-trigger acknowledgement when content changes materially. Compliance-ready by default.
Role-based access
Reader, Editor, Admin, plus team-based article scoping where it matters. SSO sync from Microsoft or Google. The right people see the right content.
Article types beyond plain prose
Standard articles, Guided Workflows, Presentations, Quizzes, and Knowledge Paths for ordered training. Pick the right shape for the content.
Document library
Upload PDFs, slide decks, spreadsheets. Indexed and searchable alongside articles. Useful for source documents that shouldn't be reformatted.
AI agent integration
Internal copilots and automation agents call the same knowledge base via MCP. Drafts always go to human review. More on AI agents →
Who this replaces
Confluence
If your team mostly uses Confluence as a knowledge base (not for project management), KnowledgeScout is the focused tool that just does this one job, with a grounded AI chatbot included.
Notion (for the wiki use case)
Notion is a flexible workspace, not a knowledge management tool. It lacks review scheduling, read acknowledgements, structured training, and a grounded AI chatbot. KnowledgeScout fills the gap.
SharePoint sites that nobody updates
SharePoint is powerful but heavy. If you have a SharePoint folder that started as a knowledge hub and ended as a graveyard, this is the lighter, purpose-built replacement.
Guru (with more depth)
Guru is closer in purpose to KnowledgeScout. We add structured training (Knowledge Paths with assessments), Guided Workflows, a customer-facing help centre, and a more open AI agent story.
Why KnowledgeScout
Built for knowledge management, not project management
No Kanban boards. No nested page hierarchies that nobody can navigate. One job, done well: making your team's knowledge findable and trustworthy.
Use it with or without AI
If your organisation has AI restrictions or your team just prefers not to use it, the knowledge base is fully usable on its own. Search, articles, version history, read acknowledgements, audit trails, all of it works with no AI in the loop. Turn AI features on later if it suits, off again if it doesn't.
Grounded AI chatbot, not bolted on
When you do want AI, the chatbot reads from your knowledge base, cites every answer, and admits when it doesn't know. It's part of the platform from day one, not a separate add-on with separate pricing.
Same KB serves humans, customers, and AI agents
Write once. Internal team reads it through the app. Customers read public articles through the help centre. AI agents read it through MCP. No duplication.
Self-serve, transparent pricing
Sign up, pick a plan, get to work. No mandatory sales call, no annual contract, no "request a quote." Pricing is on the website in three currencies.
Common questions
Can I migrate from Confluence, Notion, or SharePoint?
Yes. There are three migration paths: upload existing documents directly (PDFs, Word docs, slide decks become searchable instantly), paste raw content into the AI Writing Tools to be structured into proper articles, or use the MCP server to bulk-import programmatically. We also offer assisted onboarding free of charge on Business and Enterprise plans, where our team helps move and structure your existing content.
How does role-based access work?
Three roles: Reader (can search, view, comment, vote), Editor (Reader plus create and edit articles), and Admin (Editor plus manage users, settings, and integrations). Articles can also be scoped to specific teams, so a team only sees the content relevant to their work. Role assignments sync from your SSO provider when configured.
What about audit trails for regulators?
Every article has full version history with attribution. Every read acknowledgement is recorded against the user. Every comment, edit, and review is timestamped. You can show a regulator exactly what your stated policy was on any given date, who wrote it, who approved it, and who acknowledged reading it.
How does version history work?
Every save creates a new version. You can view any past version, see a diff against the current one, and restore an old version with one click. Versions show who made the change, when, and why (if a comment was added). Nothing gets overwritten without a record.
Can different teams have different views?
Yes. Articles can be scoped to specific teams, so a Sales how-to is only visible to Sales while company-wide policies are visible to everyone. Categories and tags organise the browsing experience, but the access control lives at the article level. Everyone sees one knowledge base, but each person sees the slice relevant to them.
Is the AI chatbot trained on our data?
No. The AI is grounded at query time on your knowledge base, but your content is never used to train the underlying model. Each query uses retrieval-augmented generation to source the answer from your articles, with citations. Your content stays your content.
Make your knowledge base the place your team trusts again.
Search, AI chatbot, version history, audit trails. The internal KB you've been hoping someone would build.