Pilot to production

A practical pilot-to-production model for enterprise AI.

Most failures happen in operationalization, not ideation. The gap is between demo assumptions and production constraints.

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Current architecture and risk diagram
The operating model starts by making hidden constraints visible.
Gate 1

Technical readiness

Architecture, data, integration, and environment decisions must be explicit before rollout.

Gate 2

Operational readiness

Evaluation logic, ownership, escalation, rollback, and observability must exist before scale.

Gate 3

Governance readiness

Policy enforcement, review points, evidence artifacts, and approval logic must be part of the delivery path.

Sequence

Assess → Architect → Harden → Deploy → Stabilize

Production readiness requires ownership clarity, runbooks, and operating cadence, not just model access.

Foundation controls diagram
Controls by design: data boundaries, evaluation discipline, release controls, and incident readiness.
Control center waves diagram
Execution should move in controlled waves, not one large promotion event.