From demo to production

Our AI demo works, but we cannot get it into production

Diagnose the production gap before changing the model.

A convincing demonstration proves that a model can produce a useful result under selected conditions. Production asks a different question: can the surrounding system produce, constrain, evaluate, recover, and own that result under real operating conditions?

A stalled POC is therefore usually a system gap across workflow, production-shaped data, integration, evaluation, authority, and ownership—not evidence that the team simply needs a stronger model.

See the From Demo to Production pillar →

Decisions that expose the gap

  1. Workflow: Which steps need model judgment, and which should remain deterministic?
  2. Data and integration: Are inputs representative, governed, fresh, and available through production interfaces?
  3. Evaluation: What release evidence distinguishes useful behavior from a persuasive demo?
  4. Authority: Which actions may the system take, under whose identity, and where is approval required?
  5. Ownership: Who handles exceptions, degraded dependencies, rollback, and the final production decision?

If these decisions are unresolved, another model experiment changes the component while leaving the operating system undefined.

Read the production path

Proof and limits

The reference-build portfolio shows narrower implementation patterns for runtime, memory, evaluation, governance, and data seams. Those artifacts can make a design decision concrete; they do not prove that this use case is ready for production.


Make one production decision

A production-readiness review bounds the work to one use case, reconstructs the as-built system, tests the highest-risk seams, and ends with proceed, proceed with conditions, do not proceed, or insufficient evidence.