Choose the smallest practical place for your AI Workspace to run.
Start with one controlled workflow in the cloud. Add local compute, shared storage, backup, or hybrid routing only when the work proves they are useful.
No hardware required to beginCustomer-approved sources and accessWritten implementation recommendationEvidence before expansion
FROM PILOT EVIDENCE TO DEPLOYMENT
Choose the environment after the workflow is understood.
A Pilot helps clarify what the workflow needs: approved sources, roles, review points, cloud use, operating cost, and the level of direct control the team wants. That evidence guides the deployment choice.
Workflow fit
Source sensitivity
Team access
AI usage and cost
Continuity needs
CHOOSE A DEPLOYMENT PATH
Three ways to run the same controlled Workspace.
The workflow rules remain consistent. What changes is where the environment runs, who directly controls it, and which supporting infrastructure is useful.
Sunofla-Managed Pilot
A dedicated environment for a defined Pilot workflow and small team.
Choose when
You want to validate the experience quickly.
The first workflow is clear, but the long-term environment is not.
You want evidence before planning a broader implementation.
Add local capability only where the workflow benefits from it.
A local foundation can complement cloud tools when the team needs faster access to large files, clearer control over shared sources, dependable recovery, or selected local AI capability.
Local AI capability
Run selected internal AI tasks close to the team when local handling is useful.
Shared storage
Give active team files clearer shared access, organization, and boundaries.
Backup and recovery
Plan recovery and continuity around information the team depends on.
These are implementation options, not a standard bundle. The workflow and operating requirements determine what is useful.
IMPLEMENTATION PLANNING
Turn the chosen path into a clear working scope.
When a team decides to continue, the implementation plan defines the environment, approved sources, roles, AI routes, review points, support boundaries, and any local infrastructure that the workflow requires.
Environment and ownership model
Approved sources and access rules
AI routes, review points, and operating records
Implementation scope, timeline, and written pricing
The implementation plan is defined with the customer before paid implementation work begins.
START WITH THE WORKFLOW
Find the deployment path that fits one real workflow.
Begin with a free discovery conversation or request Pilot access. We will help identify the practical first environment before recommending implementation work.