Review AI outputs that need human judgment with source context, confidence, reason for escalation, decision history, and clear approve/edit/reject actions. This example brings Queue and High risk together so AI product teams can find the next task without losing context.
It includes representative records such as Refund eligibility response and Medical advice escalation. Use the screenshot to study the layout, then adapt its components and product states to your own design system.

Inbox
Review next
Inbox
Default, loading, empty, error, permission, success
Configurable product UI theme
Product teams need to review next while keeping waiting, high risk and exceptions visible. The interface should show what changed and who should act next.
Queue → High risk → Review next → Review outcome
Inbox, Queue, High risk, contextual actions, error recovery
Keep the current item close to its history, owner and urgency. Put the next action on the record rather than making people open several panels.
Pay attention to queue and high risk. People need to distinguish Refund eligibility response from Medical advice escalation. Keep waiting visible, especially when a record changes owner or status.
Before this screen reaches handoff, verify keyboard focus, empty and permission states, and what happens after someone chooses “Review next”. Make error recovery as clear as the happy path.
Related screen examples to explore next: Evaluation Dataset, AI Safety Review, Prompt Versioning.
Design a human review queue screen inside our existing product. Use our current components, tokens and content language. Include Queue and High risk views, credible records like Refund eligibility response, and a clear “Review next” action. Use our product permissions and show loading, empty, error and success states. Keep the output editable in Figma.