Secure, governed and sovereign enterprise AI collaboration

Un seul hub d’IA, un seul périmètre.Sécurisé, gouverné et entièrement à vous.

Already part of the team at

LactalisDanoneCrédit du MarocVertbaudetJulesBashGuillemotTFG

AI cannot become enterprise-wide without trust.

Generative AI creates extraordinary opportunities, but it also introduces new questions for IT, security, legal and business leaders. allmates.ai is designed to answer them from the start, treating security and governance as foundations rather than features added after deployment.

Assistants, agents and models now arrive from every direction, each with its own access rules and its own data path. allmates.ai is the Enterprise AI Hub that brings them together with your people, knowledge and systems, under one set of controls.

Security is not a feature you add. It is the architecture you start from.

Governed AI collaboration under enterprise security controlsOne hub. One perimeter. One set of controls.

The questions every security team asks. Answered from the start.

Zero-trust by design: control across the full AI collaboration lifecycle, from the data your teams share to the actions Mates take.

ProcessingModelsStorageYour jurisdiction
01

Where does sensitive information go?

Only where your rules allow. Deployment and processing options follow your geographic, regulatory and contractual requirements.

Data protectionData residency
OpenAIApproved
AnthropicApproved
GeminiYour credentials
02

Which models are being used?

The ones you choose. Model-agnostic by design, with customer-managed credentials and no dependency on a single vendor.

Model choiceStrategic independence
Nina · FinanceFinance data
Data AnalystApproved sources
Léa · SalesNo HR files
03

Who can access knowledge and connected systems?

Only authorized users, workspaces and Mates, through role-based permissions and controlled connections to approved applications.

User accessSystem integrations
Compliance ExpertMate · configured by Legal
InstructionsApproved knowledgeApproved toolsBoundaries
04

How are Mates governed?

Every Mate has defined instructions, approved knowledge and tools, and clear operational boundaries.

Mate governance
Claire asked the Procurement Analyst for a review
Procurement Analyst read the supplier contracts
Nina approved the report
05

Can control be maintained as usage grows?

Yes. Centralized administration, usage oversight and auditability stay in one place, from the first team to the whole enterprise.

VisibilityAuditability
Microsoft TeamsSlack#finance-review
@allmates Prepare the Q3 review for Thursday’s committee.

On it. The Data Analyst and the Strategy Analyst are on the case.

06

What changes when Mates work in Teams and Slack?

Not your controls. Mention @allmates and the right Mate joins the thread, with the same shared context and central control.

Mates, everywhere you work

Choose AI models on your terms.

No single model is right for every enterprise, task, geography, or risk profile. allmates.ai is model-agnostic by design, letting organizations align model selection with performance, privacy, cost, data residency and strategic requirements.

Your AI strategy should be owned by your organization, not dictated by a single vendor.

No vendor lock-in

Select the models that best serve each workflow, without depending on one provider or ecosystem.

Customer-managed credentials

Use your own approved provider credentials and keep direct control over compute consumption.

Flexible model routing

Match the right model to the right task, balancing quality, speed, cost and compliance.

Strategic autonomy

Adapt as providers, regulations, commercial terms and geopolitical conditions evolve.

Enterprise team working within their own data boundaries
Global AI ambition. Local control.

Keep data within the boundaries that matter.

Enterprise data is subject to geographic, regulatory, contractual and operational requirements. allmates.ai supports a controlled approach to processing and deployment, aligning AI collaboration with the jurisdictions and policies that apply to you.

Local processing

Data-processing approaches designed around required geographic boundaries and organizational policies.

Data residency strategy

Infrastructure, provider and model configurations chosen to support your residency requirements.

Regulatory alignment

Workflows that can be assessed against privacy obligations, sector requirements and evolving AI regulations.

Controlled cross-border exposure

Reduced movement of sensitive knowledge across systems, regions and providers.

Your enterprise knowledge remains your enterprise knowledge.

Documents, conversations, instructions, workflow context and connected data support your teams within the permissions your organization defines.

Experts working with knowledge activated inside defined permissionsApproved knowledge only

Activated, never extracted.

AI should unlock your knowledge, not compromise it.

The value of allmates.ai comes from activating your organization’s expertise, not extracting it.

Zero-training principleCustomer information is not used to train public or third-party foundation models through allmates.ai workflows.
Controlled knowledge accessKnowledge is available only to the authorized users, workspaces and Mates that need it.
Full reversibilityOrganizations retain the ability to recover their information and workflows according to their deployment terms.
Custom security modelsSensitive environments can be addressed through enterprise-specific deployment and isolation architectures.

Freedom to innovate, with the controls to govern.

The fastest way to create shadow AI is to make approved AI too difficult to use. allmates.ai gives business teams a shared platform to create value quickly, while IT keeps control over users, roles, models, knowledge, tools and connected systems.

NinaNina · FinanceFinance dataLéaLéa · SalesNo HR files
Data Analyst Mate
Data AnalystMate · Permissions
Read approved sales data
Share the review internally
Export customer data
Access HR data
Every action is logged in the audit trail
Control

Role-based access control

Define who can access workspaces, Mates, knowledge, tools and administrative settings.

ClaireClaire asked for a supplier review
AI MateContracts read from approved sources
NinaNina approved the report
Oversight

Auditability and visibility

Create the conditions for meaningful oversight of how AI is used and where additional controls are required.

Compliance Expert MateCompliance Expert
InstructionsApproved knowledgeToolsBoundaries
Autonomy

Controlled Mate configuration

Build Mates with clear instructions, approved knowledge, defined tools and operational boundaries.

Your existing standards
Your permissions
Your accountability structure
Alignment

Policy-aligned collaboration

Mates operate within your existing standards, permissions and accountability structure.

allmates.aiAdministration
RolesManage
Model connectionsManage
Tool availabilityManage
DefaultsManage
Administration

Centralized administration

Manage organizational settings, roles, model connections, tool availability and defaults from one place.

Governance should enable adoption, not become a barrier to it.

Explore Governance
Team working with AI connected to approved business systems
Approved systems
SAPSalesforceSnowflakeGoogle DocsMicrosoft TeamsSlack
Control gatePermissions · scope
Controlled action
Retrieve contextExecute in systemHuman approval

Connect AI to business systems without uncontrolled risk.

Enterprise AI creates lasting value only when it works with approved business knowledge and systems. Every connection introduces new security, access and governance requirements.

  • Connect only approved systems and tools
  • Use role-appropriate access permissions
  • Restrict credentials and capabilities to business need
  • Maintain clear oversight of available integrations
  • Extend existing enterprise systems rather than replacing them
  • Keep human teams accountable for high-impact actions

From trusted context to approved tools to controlled action.

Teams reviewing AI-supported work and remaining accountable for decisions

Mates assist. People remain accountable.

allmates.ai is designed for collaboration, not unaccountable automation. Human teams set objectives, define responsibilities, review outputs and govern outcomes.

NinaClaireAntoine
People

Lead, decide and stay accountable

  • Set objectives
  • Define responsibilities
  • Review outputs
  • Govern outcomes
AI MateAI MateAI Mate
Mates

Accelerate the work, within human-led workflows

  • Research
  • Analysis
  • Drafting
  • Coordination
  • Approved execution

The future of enterprise AI is not autonomous systems operating alone. It is accountable human-AI teamwork.

Start with a controlled use case. Scale with confidence.

A secure first deployment creates the foundation for enterprise-wide Collaborative Intelligence.

01

Assess

Identify a workflow with clear business value, defined stakeholders and appropriate data and governance boundaries.

02

Configure

Set up the required Mates, instructions, knowledge sources, tools, models, permissions and controls.

03

Validate

Prove value, quality, adoption and compliance fit with a focused team or business unit.

04

Expand

Extend successful patterns across departments, systems, regions and enterprise use cases.

Lighthouse approachFrom uncertainty to proven ROI in 8 weeks.Discover the approach

Mates already at work in complex enterprises.

LactalisFood & dairy

At 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 Mates, making the next expansion easier.

20 → 1,400users in 7 months
2 weeks → 4 hoursSolvency II ORSA workflows transformed
~€300Ksaved annually
Read the Lactalis story →

Bâtissez une capacité d’IAà laquelle votre entreprise peut se fier

allmates.ai est le hub d’IA d’entreprise qui transforme des expérimentations d’IA fragmentées en une collaboration sécurisée, gouvernée et évolutive.