Industrial AI Governance & MLOps worked example

Model Lifecycle Cost at 110% share of lifecycle scope counted: a worked example

Push share of lifecycle scope counted up to 110% and the picture changes. This example computes every intermediate figure at that operating point. Use it when leaders need to budget ongoing model operations beyond the initial deployment project.

The inputs for this scenario

  • Deployed models in lifecycle scope: 24 models (unchanged)
  • Annual lifecycle cost per deployed model: 14,500 $ / model (unchanged)
  • Share of lifecycle scope counted: 110 % (raised for this scenario; the documented default is 100)
  • Fixed MLOps platform and governance overhead: 85,000 $ (unchanged)

Working through the calculation

  • Applying the documented formula (Variable model lifecycle cost = deployed models in lifecycle scope × lifecycle cost per deployed model × lifecycle cost scope included) to the inputs above produces each figure below.
  • At this operating point the engine returns 467,800 $ for total model lifecycle cost, the number this scenario is built around.
  • At this operating point the engine returns 19,492 $ / model for lifecycle cost per deployed model in scope.
  • At this operating point the engine returns 382,800 $ for variable model lifecycle cost.
  • At this operating point the engine returns 85,000 $ for fixed mlops platform and governance adders.

How this compares with the baseline

  • Against the tool's baseline example, where share of lifecycle scope counted sits at 100% and the headline result is 433,000 $, this scenario comes in 8.04% above the baseline at 467,800 $.
  • It computes total annual model lifecycle cost by multiplying deployed models by per-model cost (scaled by the share in scope) and adding fixed platform and governance overhead. The value of this scenario is the size of the gap it exposes: that gap, priced out over a year, is the budget you can justify spending to close it.

Results at a glance

  • Total model lifecycle cost: 467,800 $ (headline result)
  • Lifecycle cost per deployed model in scope: 19,492 $ / model
  • Variable model lifecycle cost: 382,800 $
  • Fixed MLOps platform and governance adders: 85,000 $

Run it with your numbers

  • Every input above is editable in the live Model Lifecycle Cost calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.