Executive summary

A playbook for MLOps, model lifecycle, deployment, monitoring (drift), and governance of models in production. This is the MLOps and AI Ops Playbook from the Stratenity Library, a governed strategic execution asset that is already built for you. It gives your team the full working method for mlops and AI ops, and it walks through everything from the model lifecycle and reproducibility to retraining, rollback and incident response. Every asset ships with a worked client example, a clear RACI, defined KPIs, and governance you can defend, so your team adapts it to a live client engagement instead of starting from a blank page.

What is inside

What this playbook covers

This is a preview of the full deliverable. Inside the Stratenity Library, this playbook walks your team through the complete method, section by section, with a worked client example threaded throughout.

  • Context, Scope and Objectives
  • Approach and Methodology
  • The Model Lifecycle and Reproducibility
  • The Deployment Pipeline
  • Drift and Performance Monitoring in Production
  • Model Governance and Model Risk

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