What is On-Premises Deployment?
Run AI Employee OS within infrastructure controlled by your organization.
Employee handbook
Policies and guidance
Technical manuals
Approved product documentation
Quality procedures
Controlled operational knowledge
Approved knowledge
Trusted company context
Available only to the AI Employees and people your organization authorizes.
Definition
On-Premises deployment runs AI Employee OS within infrastructure controlled by the customer, such as its own data center or private environment.
Why it matters
Hospitals, public institutions, industrial companies and other regulated organizations may require direct control over where the platform and its data operate.
Real-world example
Deployment inside a hospital network
A hospital operates AI Employee OS inside its controlled IT environment and connects the platform only to approved internal Knowledge and services.
Key benefits
Keep the environment under customer control
Support strict infrastructure and governance requirements
Integrate with approved internal services
Use a consistent AI Employee OS experience locally
Common questions
Is On-Premises delivered as one container?
The solution can be delivered as a containerized deployment package. The exact services and installation profile depend on the agreed enterprise architecture.
Can local AI services be used?
Supported customer-managed AI and data services can be connected through the Bring Your Own Infrastructure model.
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