A choice of deployment model
Discuss shared or dedicated arrangements around the customer’s requirements.
Imperum supports shared and dedicated deployments, so a customer that needs its own boundary does not have to be turned away. Agree the arrangement per customer, then review permissions, tool connections and model endpoints against the work your service will deliver.
Customer context within a shared environment.
Agree the arrangement before committing the service.
The shared environment remains a deployment option for other customers.
Illustrated as a separate arrangement, subject to the deployment design.
Illustrated as a separate arrangement, subject to the deployment design.
Review connection-test results; reachability does not establish authentication.
Illustrated as a separate arrangement, subject to the deployment design.
Local hosting alone does not describe every integration’s data flow.
Northstar and Juniper are illustrated as tenants in a shared deployment.
The alternative places Northstar in a dedicated deployment while Juniper remains in the shared environment.
Review the connection profile and reachable tools inside Northstar’s proposed deployment.
Agree authorized access and model endpoints for the dedicated arrangement before putting the service into use.
A customer’s required boundary can shape the deployment arrangement. Shared and dedicated models give the architecture review a starting point, alongside the customer’s permissions and the workflows your team needs to deliver.
A shared deployment holds customer tenants in one environment. A dedicated deployment provides a separate arrangement for a customer that needs it. Review the required boundary with the customer, then agree permissions, supported connections and model endpoints for that design. Tenant context scopes supported views and connector credentials; it does not by itself settle the customer’s deployment requirements.
A strict boundary requirement becomes a design choice, not a lost deal.
Illustrative customer and configuration. Not customer performance data.
Discuss shared or dedicated arrangements around the customer’s requirements.
Review permissions and tool access as part of the deployment design.
Deployment is an architecture decision before it is customer onboarding. Work through the boundary and reachable systems, then use the platform’s access and integration controls for the agreed environment.
Agree shared or dedicated deployment against the customer’s required data boundary.
Review the roles and permissions for the people who will operate the service.
Configure supported tools with the appropriate customer profile and review connection-test results.
Select reachable model endpoints for the licensed AI workflows.
Deployment arrangements are agreed per customer. Confirm the enabled modules in your license.
Integrations supplies the customer’s tool access. AI Fabric lets the design use locally hosted models or supported cloud endpoints, with the full model route reviewed against the customer’s data policy.
Agreed in the deployment design; enabled modules follow the license.
A separate deployment requirement does not have to end the conversation. Review the arrangement and its connections early, so the proposal matches the environment the customer actually needs.
Choose between shared and dedicated deployment arrangements.
Agree the permissions and connections that make the customer workflow possible.
Use the deployment design to record the required boundary and reachable systems.
Record why the customer needs a shared or dedicated arrangement.
Identify supported tools and model endpoints the environment can reach.
Validate its access and deployment requirements with the Imperum team.
Yes. Shared and dedicated deployments are supported. Confirm the required data boundary, permissions and deployment arrangement for the customer during architecture review.
Imperum can connect to locally hosted models. Configure the providers and endpoints for the AI workflows in the license, and review the full provider chain and integration data flows against the deployment design.
Have any other questions? Talk to our team
Review shared and dedicated options against a customer’s real service requirements.