Benchmark

AI pilot-to-production benchmark

A benchmark-style resource for operators comparing stalled pilots against launches that made it into production. The gap is usually not model quality. It is workflow design, governance, and release discipline.

1
Workflow focus at start
3
Control layers that show up repeatedly
4
Operating disciplines behind stable launches

What stalled pilots usually share

  • Overly broad first scope
  • No baseline KPI model
  • Late governance review
  • No release harness after prompt/model changes

What stable launches usually share

  • One workflow with clear owner
  • Approval gates tied to specific risk points
  • Golden-set and regression discipline
  • Fixed review cadence after launch