A new AI model appears.

The benchmark looks strong. The context window is larger. The price is attractive.

So someone changes one configuration value in production.

That is how an experiment becomes an incident.

AI teams need to treat model access the same way they treat databases, feature flags, and deployment environments: development, staging, and production should have different rules.