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Model Governance in Production

Keeping track of which models are running, who owns them, how they were validated and when they need review.

Editorial team 1 min read

As organisations deploy more models, governance prevents them from becoming unmanaged risks.

Model Inventory

A register of all production models: purpose, owner, version, data sources, risk rating, validation status and review dates.

Approval Workflow

Before deployment, models pass defined checks: performance, fairness, security, documentation and sign-off appropriate to risk.

Documentation

Model cards describing intended use, training data, evaluation results, limitations and monitoring.

Ongoing Review

  • Scheduled revalidation for high-risk models.
  • Monitoring results reviewed by owners.
  • Triggers for review: drift, incidents, changes in use.

Change Management

Record what changed between versions and why.

Retirement

Decommission unused models and their pipelines, and archive documentation.

Regulated Sectors

Financial services and other sectors have formal model risk management expectations. Align your process with them where relevant.

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