Private AI Pilot

Validate private AI with a real deployment.

The pilot is designed to answer the CTO question directly: can your team deploy a private model, expose it safely, observe real traffic, and operate it with evidence?

A practical four-week path.

The pilot is intentionally narrow: one environment, one first workload, one governed access path, and enough observability to decide what production requires.

Week 1

Discovery

Identify the first use case, data boundary, target environment, access model, and success criteria.

Week 1-2

Architecture review

Map deployment boundaries, network path, identity assumptions, audit requirements, and operational ownership.

Week 2-3

First model deployment

Deploy the initial private model workflow, validate readiness, and publish an approved model name for applications.

Week 3

Governed endpoint

Connect one application or agent workflow through a single governed access path with usage and policy controls.

Week 3-4

Observability validation

Confirm request traces, latency, usage attribution, readiness, and infrastructure health signals are visible.

Week 4

Production-readiness report

Document outcomes, risks, operating model, follow-up hardening, and the expansion path.

Clear ownership from day one.

The fastest pilots fail when roles are vague. Clustra keeps the pilot path explicit so platform, security, application, and leadership teams know what they are validating.

Customer provides

  • Target environment and access path
  • Pilot use case and representative workload
  • Security and identity reviewers
  • Approved model and data-handling constraints
  • Application owner for first integration

Clustra delivers

  • Architecture and deployment plan
  • Private model deployment workflow
  • Governed endpoint for the first application
  • Request traces and operational health signals
  • Production-readiness report

Pilot success criteria

The pilot should end with evidence, not assumptions.
  • A model is deployed inside the customer-controlled environment.
  • Application traffic reaches the model through one governed endpoint.
  • Security can review access, data boundary, and audit evidence.
  • Platform teams can see readiness, usage, traces, and health signals.
  • Customer and Clustra agree on the production hardening backlog.

What the final report answers

Can this platform move to production, what needs hardening, who owns each operating control, and what expansion path makes sense?