Knowledge stays in private chats
What one person learns with their AI rarely reaches the next. Insight lives in individual conversations, not in the organisation.
One Platform for Collaborative IntelligencePeople, AI teammates, knowledge and systems working together in one governed environment.Platform Overview →
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Every employee can now use an AI assistant, and every team is testing agents. Each one makes a person faster. But the work that creates enterprise value, a tender, a quarterly review, a regulatory filing, moves across people, documents and systems. When everyone works with their own AI, that work stays fragmented.
Lucas
Frédéric
MarieWhat one person learns with their AI rarely reaches the next. Insight lives in individual conversations, not in the organisation.
Each team rebuilds its own prompts, agents and analyses. Effort multiplies; consistency does not.
BriefCritical processes depend on a few individuals. Handoffs break, decisions are hard to trace, and nothing scales.
The answer is not another tool. It is a different operating model.
Four pillars, one continuous loop of execution.
Human experts set objectives, navigate nuance, apply final judgment, and remain accountable.
Custom-configured AI Mates handle intensive data processing, pattern recognition and role-specific execution at machine speed.
Both humans and AI operate from a unified, governed source of truth, eliminating misalignment.
Workflows are executed directly into your core systems under strict, zero-trust security protocols.
People and specialised Mates work on the same process, in the tools your teams already use. Mates take on the steps; your experts decide.
PersonFrédéricHead of FinanceAsks @allmates in Teams for a Q3 review ready for Thursday’s committee.
MateData AnalystSpecialised MatePulls live sales and cost data from SAP and Snowflake.
MateStrategy AnalystSpecialised MateDrafts the review in Word, citing the approved KPIs.
PersonClaireControllerChallenges the figures and adjusts the recommendations.
PersonSophieCFOApproves and sends it to the committee from Outlook.
PersonMarieBrand managerAsks @allmates in Slack for a spring campaign brief for three markets.
MateInsights MateSpecialised MatePulls audience and campaign results from HubSpot and Analytics.
MateCopywriter MateSpecialised MateWrites the brief and local copy in Google Docs.
MateBrand GuardianSpecialised MateChecks tone, claims and visuals against the brand guidelines.
PersonLucasMarketing directorApproves and sends the brief to the agencies from Gmail.Four things every large organisation needs before AI can work at scale. allmates answers each one by design.
People and Mates share the work in the tools teams already use. People stay accountable.
Each Mate has a defined role and runs on the AI model that fits its job.
Every answer comes from approved sources, and your data stays in your perimeter.
One set of permissions and one audit trail for every person, Mate and system.



Legal AdvisorReviews contracts against company policy
Data Analyst · permissionsSoftware features can be copied; the way your enterprise works cannot. Each process you run with allmates leaves behind trusted workflows, approved context and tuned Mates. The next team doesn’t start from zero: it starts from everything the last one built.


Start with one critical process where people and Mates can work together. Prove the value, then extend it to the next team, brand and market.