Secure, governed and sovereign enterprise AI collaboration

Make AI collaborationsecure, governed, and yours.

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.

Where does sensitive information go?

Which models are being used?

Who can access knowledge and connected systems?

How are AI teammates governed?

Can control be maintained as usage grows?

Governed AI collaboration under enterprise security controls

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

Zero-trust by design

Control across the full AI collaboration lifecycle

Data protection

Controlled access to knowledge, files, and connected systems

Model choice

Model-agnostic architecture and customer-managed credentials

Data residency

Deployment and processing options aligned with geographic requirements

User access

Role-based permissions and workspace-level controls

AI teammate governance

Defined instructions, approved tools, and clear operational boundaries

System integrations

Controlled connections to approved enterprise applications

Visibility

Centralized administration, usage oversight, and auditability

Strategic independence

No dependency on a single model, cloud, or productivity ecosystem

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.

Enterprise teams selecting and routing AI models inside allmates.ai

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.

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.

Global AI ambition.Local control.

Your enterprise knowledge remains your enterprise knowledge

The value of allmates.ai comes from activating your organization’s expertise, not extracting it. Documents, conversations, instructions, workflow context and connected data support your teams within the permissions your organization defines.

Enterprise knowledge activated within defined permissions

Activated, never extracted.

Zero-training principle

Customer information is not used to train public or third-party foundation models through allmates.ai workflows.

Controlled knowledge access

Knowledge is available only to the authorized users, workspaces and AI teammates that need it.

Full reversibility

Organizations retain the ability to recover their information and workflows according to their deployment terms.

Custom security models

Sensitive environments can be addressed through enterprise-specific deployment and isolation architectures.

AI should unlock your knowledge, not compromise it.

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.

Role-based access Auditability Teammate configuration Policy alignment Central administration

Governance console

Role-based access control

Auditability and visibility

AI teammate configuration

Policy-aligned collaboration

Centralized administration

governed

Control

Role-based access control

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

Oversight

Auditability and visibility

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

Autonomy

Controlled AI teammate configuration

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

Alignment

Policy-aligned collaboration

AI teammates operate within your existing standards, permissions and accountability structure.

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.

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

AI teammates assist. People remain accountable.

allmates.ai is designed for collaboration, not unaccountable automation. Human teams set objectives, define responsibilities, review outputs and govern outcomes. AI teammates accelerate research, analysis, drafting, coordination and approved execution within those human-led workflows.

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.

Assess

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

Configure

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

Validate

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

Expand

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

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

Build an AI capabilityyour enterprise can trust

allmates.ai transforms fragmented AI experimentation into secure, governed, and scalable collaboration.

Explore the Platform