Léa · SalesPerson
Commercial IntelligenceMate
Data AnalystMate01
Who is using which agent?
One registry of people, Mates and agents
Today: scattered across tools
Collaborative IntelligencePeople and AI teammates working as one team
Specialised AI TeammatesAI coworkers built for real business roles
Mates, everywhere you workAI teammates inside Teams, Slack and email
Shared ContextEvery answer grounded in approved knowledge
SystemsConnected to the tools where work happens
GovernanceVisibility, control and auditability
One Platform for Collaborative IntelligencePeople, AI teammates, knowledge and systems working together in one governed environment.Platform Overview →
One Platform for Collaborative IntelligencePeople, AI teammates, knowledge and systems working together in one governed environment.Platform Overview →
Marketing & BrandFaster, brand-governed content and campaigns
Market & Commercial IntelligenceLive insights for commercial decisions
Compliance & RegulatoryGoverned reporting and full auditability
Digital OperationsStreamline recurring operational workflows
From 20 to 1,400 users in 7 monthsAt Lactalis, each deployment simplifies and accelerates the next.Read customer stories →
From 20 to 1,400 users in 7 monthsAt Lactalis, each deployment simplifies and accelerates the next.Read customer stories →
Operating ModelHow work gets re-architected around Collaborative Intelligence
Enterprise AIGovernance, integration and model choice
Lighthouse ApproachFrom uncertainty to proven ROI in 8 weeks
SecurityTrust, compliance and data sovereignty
Customer StoriesProven outcomes in complex environments
We believe the future of work is collaborativeWe align people, AI teammates, and enterprise systems to execute together.Discover →
We believe the future of work is collaborativeWe align people, AI teammates, and enterprise systems to execute together.Discover →
Déployez l’IA auprès de milliers de collaborateurs.Gardez le contrôle total.
allmates is the sovereign Enterprise AI Hub, built on zero-trust security, that orchestrates every Mate, model and data source, so you always know who uses what, what it costs and what it delivers.
One view across every Mate, model and teamAI spend · this monthOn plan
72% of planned budget
Platform and included AI capacity. Heavy agentic runs capped per team.
Policy gate
- Data stays in your region
- Approved models only
- Role-based access to knowledge
Audit trail
Nina approved the supplier report
Compliance Expert flagged clause 4.2
Value delivered
312 h saved this quarter
Procurement Analyst · Procurement team
Already part of the team at
The AI landscape is fragmenting. Your control can’t.
Assistants, agents, models and plug-ins now arrive from every direction, each with its own licence, its own meter and its own data path. Deciding who gets an AI licence was the easy part. As agents scale from a few hundred users to thousands, the real questions begin: which agents are people using, what do they consume, and do they create enough business value?
Without one layer to orchestrate them, cost turns unpredictable and risk turns invisible.
Many AI tools. Many meters. No single view.Four questions every leadership team now asks. One place to answer them.
Léa · SalesPersonCommercial IntelligenceMateData AnalystMateTeam cap
02
What does it really cost?
Budgets and caps per team, in real time
Today: bills arrive after the fact
Your perimeter · EU03
Where does our data go?
One policy gate, your residency rules
Today: a different path for every tool
+312 h
saved this quarter
Tender analysisSupplier review
04
Is it creating value?
Outcomes measured per use case
Today: anecdotes and login counts
Many models. Many agents. One hub to orchestrate them.
Your teams will use several AI models, assistants and agents. That is a strength, not a problem. allmates sits above them as the Enterprise AI Hub for Collaborative Intelligence: one place to orchestrate, permission, route and measure every Mate, whichever model does the work.
The more AI your enterprise adopts, the more one orchestration layer is worth.
GovernanceMatesModelsUsageAudit
42People
36Mates
On planMonthly AI budget
MateOwnerModelDataUsage
Compliance ExpertEU64%
Commercial IntelligenceEU41%
Data AnalystEU86%
Procurement AnalystEU28%
Knowledge CuratorEUPending review
Every human and AI action loggedExport audit trail
Enforced by architecture. Not by a policy nobody reads.
Six commitments built into the platform from day one, so governance stops being a brake on adoption and becomes the reason adoption scales.
Stay model-agnostic. Bring your own credentials, switch providers and never depend on a single vendor’s roadmap.
Sovereign by design. Deploy in line with your residency strategy. Knowledge, prompts and outputs stay inside your perimeter.
Your data, your Mates, your configurations and your outputs remain yours. Fully owned, fully portable.
Zero-trust by default. Role-based permissions per team, Mate, knowledge source and system. People and Mates only reach what they should.
Every human and AI action is recorded, attributable and reviewable, in line with AI TRiSM frameworks. No extra setup.
Budgets, quotas and alerts per team and per Mate. Heavy agentic workloads stay visible, approved and capped.
Models in use
and moreYour own credentials. Switch models without rebuilding a single Mate.
Data region
EU · your tenant
KnowledgePromptsOutputs
Nothing leaves the perimeter you define.
Owned by you
Your dataYour MatesYour configurationsYour outputs
Fully portable. No lock-in on what you build.
Access rules
Nina · FinanceFinance dataData AnalystHR filesSame rules for people and Mates.
Audit trail
Claire asked the Procurement Analyst for a review
Procurement Analyst read the supplier contracts
Nina approved the report
AI budget · this month
Procurement64%
Finance81%
Sales42%
Alerts before any cap is reached.
Mates already at work in complex enterprises
Explore customer stories
Food & dairyAt Lactalis, each deployment simplifies and accelerates the next.
Adoption expanded across connected business needs, teams, brands and markets. Each deployment added reusable context and specialised AI teammates, making the next expansion easier.
20 → 1,400users in 7 months
2 weeks → 4 hoursSolvency II ORSA workflows transformed
~€300Ksaved annually
Deploy AI at enterprise scale, without giving up control.
Model independence, data residency, predictable cost and full traceability are not options you bolt on later. They are where enterprise AI should start.
