What is an AI teammate?

An AI teammate is a specialized AI collaborator configured with a defined role, instructions, knowledge, tools, and operational boundaries. It is designed to contribute to a team objective rather than act as a generic chatbot.

Can several AI teammates work together?

Yes. allmates.ai is designed for many-to-many collaboration, where people and multiple AI teammates can contribute within shared workspaces.

Can AI teammates access enterprise knowledge?

AI teammates can be grounded in approved organizational knowledge, based on the access rights and governance policies defined by the organization.

Can allmates.ai connect to our existing systems?

allmates.ai is built to connect AI teammates to approved business applications, data sources, and legacy systems, enabling AI collaboration within real enterprise workflows.

Does allmates.ai support different AI models?

Yes. allmates.ai supports model choice so organizations can select models and providers according to performance, privacy, cost, residency, and compliance requirements.

Is allmates.ai designed for enterprise governance?

Yes. The platform includes governance and analytics capabilities to help organizations manage access, knowledge, tools, usage, auditability, and AI adoption at scale.

Platform

One platform for people, knowledge, business systems, and AI teammates

AI becomes valuable when it works in context — and works together.

Most AI products begin with a conversation between one user and one assistant. That can be useful for individual tasks. But enterprise work is rarely individual. It involves multiple people, specialist expertise, documents, data, business applications, approvals, and governance requirements. allmates.ai is built around that reality.

Human teams and AI teammates working together in a shared enterprise workspace

What generic AI leaves behind

One user, one conversation

Manual copy and paste between tools

General-purpose responses

Limited organizational visibility

Context rebuilt in every chat

Individual output instead of team execution

Generic AI chat, or a platform built for enterprise execution

Generic AI chat

Answers arrive. The work still waits.

A single user prompts a single assistant. Every session starts from zero, and the person becomes the connector between the answer and the systems where work actually happens.

One user, one conversation

General-purpose responses

Context rebuilt in every chat

Manual copy and paste between tools

Limited organizational visibility

Individual output

Output stays individual.

allmates.ai

Teams, teammates and systems in one workspace.

Multiple people and specialized AI teammates operate around a shared objective, grounded in persistent business context and connected to the applications your organization already runs.

Many people and AI teammates in a shared workspace

Specialized AI teammates with defined roles

Persistent business context and approved knowledge

Connected access to approved business systems

Centralized governance, auditability and analytics

Coordinated team execution

Execution becomes collective.

The operating environment for Collaborative Intelligence

Three layers that turn human–AI teamwork into something an enterprise can actually run.

01Build

Teammates that carry a mandate

Not a blank prompt box. Each AI teammate is configured with a clear purpose, written instructions, approved knowledge, the tools it may use and the boundaries it must respect.

AI Teammate Factory →

02Collaborate

Many people, many teammates, one outcome

Cross-functional teams and several specialized teammates work around the same objective, grounded in approved enterprise knowledge and reachable from the channels your teams already use.

Many-to-Many Workspaces →Enterprise Knowledge →

03Control

Scale it without losing the keys

Choose and route your own models, keep credentials and data under your control, and connect the core systems where work is actually recorded — with centralized access, oversight and audit trails.

Governance & Zero-Trust →Core System Integrations →

Context is the difference between generic AI and useful AI

Every AI teammate works with the context that matters

A useful AI teammate does not just respond to a prompt. It understands the environment in which work is happening.

allmates.ai brings together the relevant layers of enterprise context, so teammates provide more relevant support while operating strictly within the boundaries defined by the organization.

Governance

Systems

Knowledge

Workspace

AI teammates

01Organization context

02Workspace and project context

03Conversation history

04User roles and expertise

05AI teammate instructions

06Approved knowledge

07Available tools

08Connected business systems

09Governance policies and permissions

gather analyse recommend

Objective

Q3 commercial performance review

Data gathered

Analysed

Action recommended

Reviewed and approved

01/05

More than AI output: coordinated enterprise execution

allmates.ai is not designed to replace human judgment with black-box automation. It is designed to help teams execute complex work more effectively.

A team defines the objective

One teammate gathers the information

Another analyses it

A third prepares a recommended action

The team reviews, challenges, improves, and decides

Judgment stays human. Execution becomes shared.

Enterprise work is never one person and one answer. It is many people, many systems, and one shared outcome.

Access Mates everywhere you work

Interact with your Mates through APIs, Slack, Teams, Google Chat, email and a Chrome extension — without asking teams to abandon the tools they already use.

+60 applications connected across your enterprise stack.See all integrations →

What teams achieve with allmates.ai

Accelerate high-value workflows

Reduce time spent searching, summarizing, coordinating, drafting, validating, and reporting.

Scale specialized expertise

Make approved knowledge and expertise available when teams need it, without creating a new dependency on scarce specialists.

Connect cross-functional work

Bring business, technical, compliance, data, and operational contributors into one shared workflow.

Improve consistency and governance

Ensure AI teammates operate with clear roles, controlled knowledge, approved tools, and accountable human oversight.

Build a reusable AI capability

Move beyond one-off prompts and isolated pilots. Create an enterprise asset that can be reused, improved, and expanded over time.

Each deployment makes the next one faster, safer and more valuable.

Enterprise teams executing high-value workflows with allmates.ai

Start with one high-value workflow. Scale across the enterprise.

allmates.ai supports a practical path from initial adoption to enterprise-wide capability.

Discover

Teams explore AI teammates around a focused business challenge.

Land

A department deploys a defined use case with measurable success criteria.

Expand

The platform extends to adjacent teams, workflows, knowledge sources, and business units.

Extend

Organizations scale Collaborative Intelligence across regions, functions, systems, and enterprise-wide initiatives.

The platform grows with the ambition of the organization.

Build your Collaborative Intelligence capability

See how allmates.ai can connect your teams, AI teammates, enterprise knowledge, and business systems in a secure, governed environment.

Book an Enterprise Demo