A team preparing a production rollout wants to avoid inventory entries going stale after launch. What should they build into the AI use case inventory process?

The correct approach is to keep owners and reviewers accountable for updates, decisions, and remediation actions throughout the model's life, not just at launch. Ongoing accountability from named owners and reviewers is what keeps an inventory entry accurate as the model, its data, and its risk profile evolve after launch.

The option that freezes the inventory entry at launch is incorrect because freezing the entry guarantees it goes stale the moment anything about the model changes.

The option that removes the entry from the inventory once the model reaches production is incorrect because production is exactly when a use case needs the most active oversight, not less.

The option that assigns the inventory entry to the vendor who supplied the underlying model is incorrect because accountability stays with the deploying organisation, not with an external vendor.

For the exam, treat the inventory as a living record maintained by accountable owners, not a one-time filing.