Request Pilot Access

DEPLOYMENT CHOICES

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
Small creative team working with a controlled AI Workspace

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 — deployment pathSources flow into a pilot workspace, then to an approved AI route.SourcesPilotWorkspaceApprovedAI

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.
Customer-Owned Cloud Workspace — deployment pathFiles flow into your cloud workspace, using your AI account.FilesYour cloudWorkspaceYour AIaccount

Customer-Owned Cloud Workspace

A Workspace in your organization’s cloud environment, using your approved AI account.

Choose when

  • Your team already has approved cloud infrastructure or AI provider accounts.
  • You want direct control of the Workspace environment and operating data.
  • A cloud-based team workflow is the practical fit.
Local / Hybrid Workspace — deployment pathOffice files flow into a local workspace, with an approved cloud route available.Office filesLocalWorkspaceApprovedcloud route

Local / Hybrid Workspace

Selected services run locally, with approved cloud AI routes where they add value.

Choose when

  • Team files are large, active, or need local handling.
  • Shared storage, recovery, or local capability matters.
  • The workflow needs both local control and selected cloud capability.

WHAT LOCAL OR HYBRID CAN ADD

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.

Explore Workspace Readiness →