AI Model Documentation Standard

Undocumented models are ungovernable models. Without documentation, no one can answer the questions that inevitably arise: What data was this model trained on? What are its known failure modes? What happens if it degrades? Who approved it for production? What is the rollback plan? These questions come from incident responders, auditors, regulators, new team members, product managers, and executives. When documentation does not exist, the answers depend on the memory and availability of whoever built the model, which is a single point of failure for organizational knowledge.

The EU AI Act's Article 11 requires technical documentation for high-risk AI systems that must be prepared before the system is placed on the market and kept up to date. The documentation must include a general description of the system, detailed design documentation, data governance practices, testing and validation procedures, and a description of the monitoring system. This standard satisfies those requirements while also serving engineering needs that regulatory documentation alone does not address: deployment topology, cost projections, and operational runbooks.

Every production model must have documentation covering six sections. The sections are ordered from most strategic (Model Card) to most operational (Lifecycle Plan). Sections 1-3 are primarily for governance, compliance, and product stakeholders. Sections 4-6 are primarily for engineering and operations teams. All six are required before a model can be approved for production deployment.