AI Employee OS Guide

Understand the platform, its concepts and deployment options.

Welcome

I can explain AI Employees, Agents, Knowledge, Collections, Workspaces, Workflows, permissions and flexible deployment—from Managed Cloud to On-Premises and customer-provided infrastructure.

Explore a topic

AIOSAI Employee OS

Build governed AI Employees on approved company knowledge, modular capabilities and deployment models that fit your organization.

Build an AI Employee

Platform

  • Platform overview
  • Platform Atlas
  • Knowledge
  • AI Employees
  • Agents
  • Connectors

Build & operate

  • AI Employee Builder
  • Workflow Builder
  • Permissions
  • Analytics
  • Administration
  • Enterprise

Explore

  • Solutions
  • Healthcare
  • Construction
  • Manufacturing
  • Demo
  • Pricing

Resources

  • Learn Center
  • FAQ
  • Glossary
  • AI Documentation
  • Privacy
  • Imprint

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AIOS
AI Employee OS
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The platform

One operating system for AI Employees.

Manage AI Employees, specialized Agents, company knowledge, Workspaces, Workflows and deployment from one modular platform.

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Interactive showcase

Explore the platform by module.

Select a module to see how the main parts of AI Employee OS fit together from the user’s perspective.

AI Employee

HR Employee

Human Resources

Active

Knowledge

26 Collections

Conversations

1,248

Team

People Operations

Access

Role-based

Email Agent

Draft and prepare messages

Calendar Agent

Coordinate meetings and events

Document Agent

Review and explain documents

Modular architecture

Deploy the same platform your way.

Start in the cloud, use a dedicated environment, deploy on-premises or connect infrastructure supplied by your organization.

Learn about the platform

Managed Cloud

Ready to use and fully managed.

Dedicated Cloud

A separate environment for your organization.

On-Premises

Run AI Employee OS inside your infrastructure.

Bring Your Own Infrastructure

Connect existing data and AI services.

See the complete experience.

Explore the guided demo, learn the concepts and then continue in the live platform without changing how the product feels.

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