A private AI pilot that produces decision evidence, not only a demo.
The pilot proves whether one real workload can run privately through one governed access path with traces, usage attribution, runtime health, and a production hardening backlog.
Pilot shape
- One environment
- One first workload
- One governed access path
- Trace and health evidence
- Readiness backlog
Narrow enough to review. Real enough to matter.
When prerequisites are ready, the pilot is scoped to help CTOs, platform teams, and security reviewers make a production decision with evidence.
Architecture review
Confirm workload, environment, data boundary, identity path, network path, reviewers, and success criteria.
Private model deployment
Deploy the first model workflow, validate readiness, and publish an approved model name for applications.
Governed app access
Connect one app or agent workflow through Iftah AI Gateway with usage attribution and policy controls.
Readiness report
Summarize validated outcomes, traces, runtime health, risks, owners, and production hardening work.
The first architecture review has a concrete agenda.
The call aligns the boundary, deployment fit, trace mode, retention owner, pilot workload, and decision owners before implementation starts.
Boundary and traffic
Confirm where sensitive AI traffic enters, where it runs, and what export paths are approved.
Evidence and retention
Choose trace mode, storage targets, retention owner, audit exports, and open exceptions.
Pilot decision
Name reviewers, success criteria, handoff points, and the production hardening backlog.
The pilot ends with review artifacts.
A serious pilot gives stakeholders enough evidence to decide whether to harden, pause, or expand.
Boundary and policy map
Environment boundary, identity path, approved model access, gateway policy, retention assumptions, and open decisions.
Evidence samples
Model inventory, gateway policy, request trace, usage attribution, infrastructure health, and audit events.
Hardening backlog
Production risks, control owners, capacity observations, incident handoff points, and rollout sequencing.
Support assumptions are agreed before the pilot starts.
The pilot is not framed as a managed-service promise. It is framed as an engineering review with named customer owners, Iftah review points, handoff expectations, open risks, and production hardening work.
Named owners
Platform, security, infrastructure, data, application, and business owners are identified before the workload is connected.
Iftah review points
Iftah reviews deployment fit, gateway policy, trace handling, runtime signals, evidence outputs, and unresolved assumptions.
Handoff points
The readiness report records support assumptions, incident owners, open risks, rollout sequencing, and the hardening backlog.
Next step