Interactive platform explorer
Select a platform concept to see its purpose, connected layers, examples and detailed documentation.
Responsibility layer
What it is
Role-based digital coworkers combine a defined responsibility with approved Knowledge and capabilities.
Why it matters
Creates a clear user-facing role instead of a generic all-purpose assistant.
Connected layers
Typical examples
Move through the platform from Company and Knowledge to AI Employees, Agents, Workflows and deployment. Every layer connects to a detailed explanation.
Interactive map
Select a layer, reveal its connected concepts and continue to the full Learn article or product area.
Platform Atlas
Explore the operating system
Company Architecture
Company, Workspaces, people, Knowledge, AI Employees and Workflows form one consistent organizational model.
Organization-wide governance
Teams and business areas
Users, roles and responsibilities
Collections, documents and sources
Digital coworkers for defined roles
Capabilities and repeatable processes
AI Employee Lifecycle
The lifecycle keeps Knowledge, capabilities, testing and governance connected throughout operation.
Define the AI Employee's role and audience.
Assign approved Collections and sources.
Install only the capabilities required.
Validate answers, access and behavior.
Make the AI Employee available to its users.
Refine Knowledge, permissions and Workflows.
Deployment Explorer
Choose the model that matches infrastructure, governance and operational responsibility.
Fastest start with minimal infrastructure effort.
Explore deploymentAn isolated environment for one organization.
Explore deploymentOperate the platform inside customer-controlled infrastructure.
Explore deploymentUse approved customer databases, identity, storage and AI services.
Explore deploymentDesign Principles
These principles guide product decisions, user experience, deployment and governance across AI Employee OS.
People interact with a clear digital coworker rather than a collection of technical tools.
Approved organizational Knowledge remains governed, reusable and connected to responsibilities.
Agents are added only where a role and use case require them.
The platform supports different infrastructure and governance requirements.
Permissions, approvals and important decisions stay within defined organizational boundaries.
Start with one Company, one Workspace, approved Knowledge and a clearly defined AI Employee.