Company memory · Private beta
Your AI starts every conversation from zero. Praxeum gives it your company's memory.
The company brain is everything your company knows, from chat, documents and meetings, and every answer is cited. The skills are how your team really works, found in that work and approved by a named person. Your agents run on both, in the Claude, ChatGPT or Copilot you already use.
Built by the Praxeum team that also builds AI agents for companies. Use it with the AI you already run, or have us build agents on it.
Where the real process lives
Your company already knows how it works.
Conversations
Chat threads: the exceptions, the corrections, the "no, do it this way".
Docs
Wikis and shared drives: the policies and runbooks, cited back to the page.
Meetings
Call transcripts, for the meeting series an organiser chooses to include.
Read-only, and only the spaces you choose. What Praxeum finds becomes skills: small, reviewable procedures a person approves before any AI can follow them.
From approved skills to a team
Meet your AI co-workers.
Approved skills group into an AI co-worker: a named bundle of approved skills with a job, reachable where your team already works. Carmen handles refunds in #support-ops and asks Sarah before money moves. Jeff onboards Marco by email and logs every step.
- refund-exceptionssign-off
- billing-exceptionssign-off
- invoicingexecute
- renewal-followupexecute
- pricing-exceptionssign-off
- lead-qualificationsuggest
- onboarding-runbookexecute
- leave-requestssign-off
- escalationssign-off
- ticket-triageexecute
- incident-runbookexecute
Four examples. Yours will look like your team.
- Claude
- ChatGPT
- Cursor
- Copilot
- Gemini
They run on the AI you already license, on your connection. Praxeum gives them the skills and the rules. You don't need to buy another AI.
Connectors
Works with the tools your team already uses.
Connect a source in minutes, read-only and scoped to the channels, folders, and spaces you pick. Permissions travel with the knowledge, so everyone sees exactly what they could see before.
- Slack
- Google Meet
- GmailBuilding
- JiraBuilding
- LinearBuilding
- IntercomBuilding
- SalesforceBuilding
- Microsoft TeamsBuilding
- SharePointBuilding
- Google Drive
- Notion
- Google CalendarBuilding
- ConfluenceBuilding
- ZendeskBuilding
- HubSpotBuilding
- GitHubBuilding
- OutlookBuilding
Missing yours? Request a connector
How it works
How a co-worker learns your way of working.
Doc vs practice
Your policy says 30 days. Your team refunded up to 60, twelve times since January. Praxeum shows you the conflict with the evidence, and you decide, on purpose.
See the conflictTested on past cases
Before anyone approves a skill, it is replayed on real past cases and graded against how your team decided them. The approver sees every miss.
See the replay testOne human approval
A skill is the actual file your AI reads. Review it, edit it, approve it. Nothing reaches a co-worker until you do.
See the skillServed over MCP
No new AI to buy. The approved skill goes to the AI you already run, which carries the version it ran.
See the serving stepThe skill interpreter
A skill is Markdown the model reads. The parts that must never vary run as reviewed, tested code.
See the interpreterAsk your company brain
The same reading builds a brain your team can just ask, in Claude, ChatGPT, Slack, or Teams. Every answer is scoped to what that person can see, cited, and marked unverified unless it comes from an approved skill.
See the brainDrift detected
When the way of working moves, the skill goes back for review, never silently averaged. Until a human rules, the contested step is served as ask-a-human.
See drift
Humans decide, AI co-workers do the steps
One team. Some of them are AI co-workers.
Four examples of how that looks: AI co-workers on the Claude or ChatGPT you already run, each in the tool its team already uses. The names and cases are made up; the way the work moves is how Praxeum runs.
- Priya asks in #support-ops.
- Carmen checks the skill and works out the refund.
- Sarah signs off, because money moves.
- The record keeps who did what, and what it cost.
Example co-workers and cases
New hire: Marco Reyes starts Monday
You to jeff@fernhill9:12 AM
Hi Jeff, Marco Reyes joins the support team on Monday. Can you get him set up before then?
Re: New hire: Marco Reyes starts Monday
Jeff AI co-worker jeff@fernhill9:14 AM
to you
Done, Marco’s ready for Monday. I ran onboarding-runbook@v5:
- Provisioned accounts and access Workspace
- Sent the welcome and first-week plan Slack
- Booked the kickoff call Notion
CopilotWork@Sam Northwind wants 15% off their renewal. Can you draft the follow-up?
Sam AI co-worker
Drafted with renewal-followup@v2. Northwind renews in 30 days on the annual plan:
Re: your renewal
Thanks for three good years. For the renewal we can offer 15% on the annual plan, confirmed by our team this week.
Sign-off needed · pricing-exceptions@v1
15% is above the 10% Sam can give. Requested of Tom Baker, head of sales.
ApproveDecline
Approved by Tom Baker
Sent to Northwind with the 15% offer.
Illustrative examples. Every step runs on a skill a person approved.
- A person approves every skill before a co-worker can use it.
- A person signs off before money moves.
- Every run is on the record, with its cost.
Governance
The rules are set by people, once.
Every AI co-worker runs under the same workspace rules, and a person sets them.
- Only approved skills reach an AI co-workerOn, locked
- Human sign-off before money movesSarah Chen
- Every action audited, your AI and agents over MCP includedOn
- Cost tracked on every runOn
- Where your data livesEU-hosted
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 co-workers replace my agents?
- No. A co-worker is a bundle of approved skills with a name and a job, running on the AI you already have, on your connection.
- Are you reading everything?
- Read-only, you scope every source, scoping is employee-visible, and permissions travel with the knowledge. For Google Workspace, Praxeum asks for read-only Google Drive access and reads only the shared drives and folders your organization selects, to draft cited skills a person in your team approves. How we handle Google user data, including the Google API Limited Use requirements, is in our Privacy Policy. See also Security.
- Will it be accurate?
- Nothing is used until a human approves it, and every claim is cited. When reality moves, the skill goes back for review, never silently averaged.
Private beta
Become a beta partner.
We onboard a few teams at a time and build the first workflows with you.
- What a beta partner gets
- Early access, our hands on your first workflows, and a say in the roadmap.
- What a beta partner gives
- Real workflows, honest feedback, and a reference once it works.
Prefer us to build the first workflow? Start with an AI Sprint.