Your AI agents don't know how your company actually works.
Praxeum mines how your team really works, from Slack, Google Workspace, and Notion (with more coming soon), and turns it into cited, human-approved, versioned skills your existing agents can run safely.
Your agents, finally trusted with real work.
Written down and provably correct
Every skill carries citations to the real thread or doc, a named approver, and version history.
Your existing agents act safely
No new agent to buy. Claude, ChatGPT, and others connect over MCP and act the way your company does, with a human on sensitive actions.
It stays true, and it's defensible
Drift detection keeps skills honest; an audit trail answers "under whose authority?"
How it works
- Connect & scope: read-only OAuth to the Slack channels, Drive folders, and Notion spaces you choose, with more sources on the way.
- Mine the exhaust: we extract how work actually happens, covering the steps, the decisions, and the exceptions.
- A human reviews & approves: each skill arrives with citations, and your reviewer edits, approves, or rejects.
- Serve to your agents: approved skills go live over MCP, with sign-off on sensitive actions.
Connects to the tools your work already lives in.
Connected today
On the roadmap
New sources plug into the same mining pipeline. You start on what's live today, and the rest arrive as we build them.
We'll show you the places your documentation is wrong.
Because we diff how you say work happens against how it actually happens, the first thing you see is where your written playbook and your real behavior disagree, with the evidence attached.
The trust is in the details.
Every claim cites its source
refund-policy#support-ops · Apr 12Agents carry the version they ran
v3 · approved by Sarah · May 12evidence current as of Jun 30Sensitive actions ask a human
Approve a $240 refund on an annual plan booked 41 days ago?
Skill: refund-exceptions
Every call is on the record
Governance is the product.
Citations, approvals, an audit trail, and a permission ladder (read → suggest → execute-with-sign-offs → execute) per skill, per agent. It's the neutral system of record that sits across every agent you use, not locked to any one vendor's stack.
Think of it as a citator for company procedure: not "is this still good law?" but "is this still how we do it?" The citation graph is the part that compounds.
Your process gets your name on it.
Mined knowledge names its owner as the author. Scoping is employee-visible. We never produce individual performance analytics. Transparency is the position, not a workaround.
What Praxeum is not
Not enterprise search. Not a chatbot over your docs. Not another agent platform. Not a proprietary format: we emit the open Agent Skills standard, and you bring your own agent.
Search tools answer questions.
Retrieval finds a doc. It can't surface the workarounds that never reached a wiki, and it doesn't execute.
Agent platforms lock you to their agent.
Their brain runs their agent on their stack. You don't own the artifacts and you can't bring your own agent.
Praxeum governs the agents you already have.
Cited, approved, versioned skills served over MCP, with a human on every sensitive action.
- Open standards (Agent Skills + MCP): no lock-in, you own the artifacts.
- Read-only access; you scope every source.
- Every skill cites its sources; a human approves before anything is used.
- Works with the agents you already use: Claude, ChatGPT, Cursor, custom.
Straight answers
- Isn’t this just enterprise search?
- Retrieval finds docs; we mine the exhaust into executable, verified skills. Retrieval structurally can’t surface the workarounds that never reached a wiki.
- Do I have to buy a new agent?
- No, bring your own agent over MCP.
- Are you reading everything?
- Read-only, you scope every source, scoping is employee-visible, and permissions travel with the knowledge. See Security.
- Will it be accurate?
- Nothing is used until a human approves it; every claim is cited; drift detection keeps it honest.
- Is my brain done in week one?
- No, honestly staged. Documented procedures convert to skills in days; the deep, undocumented knowledge compounds over weeks.
Request early access
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