Industrial AI Governance & MLOps worked example

Model Lifecycle Cost at 72% share of lifecycle scope counted: a worked example

This worked example runs the model lifecycle cost numbers for a tougher week than the baseline: 72% share of lifecycle scope counted instead of the typical 100%. Estimate total lifecycle operating cost for industrial AI models using model count, cost per model, lifecycle scope, and fixed platform adders.

The inputs for this scenario

  • Deployed models in lifecycle scope: 24 models (held at the documented default)
  • Annual lifecycle cost per deployed model: 14,500 $ / model (held at the documented default)
  • Share of lifecycle scope counted: 72 % (the input this scenario stresses; the baseline uses 100)
  • Fixed MLOps platform and governance overhead: 85,000 $ (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Variable model lifecycle cost = deployed models in lifecycle scope × lifecycle cost per deployed model × lifecycle cost scope included.
  • Total model lifecycle cost works out to 335,560 $ at these inputs, and this is the headline figure for the scenario.
  • Lifecycle cost per deployed model in scope works out to 13,982 $ / model at these inputs.
  • Variable model lifecycle cost works out to 250,560 $ at these inputs.
  • Fixed MLOps platform and governance adders works out to 85,000 $ at these inputs.

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 22.5% below the baseline at 335,560 $.
  • Use it for annual MLOps budgeting, fleet TCO reviews, and business cases for retiring, consolidating, or onboarding models. A result at this level usually justifies acting on the stressed input before touching anything else, because every other figure in the table is downstream of it.

Results at a glance

  • Total model lifecycle cost: 335,560 $ (headline result)
  • Lifecycle cost per deployed model in scope: 13,982 $ / model
  • Variable model lifecycle cost: 250,560 $
  • Fixed MLOps platform and governance adders: 85,000 $

Run it with your numbers

  • To rerun this with your own numbers, open the live Model Lifecycle Cost calculator, set share of lifecycle scope counted to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.