Back to Insights
MLOpsJanuary 30, 202610 min read

The MLOps Maturity Model: Where Does Your Org Stand?

A five-level framework for assessing your ML infrastructure maturity — from ad-hoc notebooks to fully automated, self-healing ML systems.

The Problem with ML in Production

Most organizations can train a model in a notebook. Far fewer can reliably deploy, monitor, and maintain hundreds of models in production. The gap between "cool demo" and "business-critical system" is where most ML initiatives stall.

The Five Levels

Level 0: Manual

  • Models trained in notebooks
  • Manual deployment via file copy
  • No monitoring, no versioning
  • "Works on my machine"

    • Level 1: Scripted

  • Training scripts in version control
  • Basic CI for code quality
  • Manual deployment with documented steps
  • Logging but no automated monitoring

    • Level 2: Automated Training

  • Automated training pipelines (Airflow, Prefect)
  • Experiment tracking (MLflow, W&B)
  • Model registry with versioning
  • Basic serving infrastructure

    • Level 3: Automated Deployment

  • CI/CD for model deployment
  • A/B testing and canary releases
  • Automated monitoring and alerting
  • Feature stores for consistent feature access

    • Level 4: Full MLOps

  • Automated retraining on data drift
  • Self-healing pipelines
  • Cost optimization and resource management
  • Cross-team model governance

    • Assessing Your Position

    Most enterprises we work with are between Level 1 and Level 2. The jump from Level 2 to Level 3 is where the biggest ROI lies — it's where models stop being science projects and start being reliable business systems.

    Getting Started

    Focus on three foundational investments:

  • **Experiment tracking**: You can't improve what you can't measure
  • **Model registry**: Know what's deployed where, and roll back instantly
  • **Monitoring**: Detect drift before your customers do

    • These three capabilities unlock everything else in the maturity model.

    Discuss Your Project With Us