MLOps

MLOps Checklist for Growing Teams

The minimum production controls teams should establish before AI models become business-critical.

Strategy Clear thinking before expensive build work

Architecture Practical patterns for technical leaders

Execution Delivery guidance grounded in real systems

Metrics Reliability, cost, speed, and adoption signals

A reliable MLOps foundation includes source control, data lineage, model versioning, reproducible environments, monitoring, and incident ownership.

Teams should decide what happens when model quality drops, inference costs spike, or upstream data changes without notice.

The goal is not ceremony. The goal is to make AI systems observable, recoverable, and safe to improve.

Next step

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