# Amazon — Smart Approvals in Amazon Quick: Human oversight where it matters

- Company: Amazon (amazon.com)
- Announced: 2026-11-04T16:33:03+00:00
- Category: capability-change
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://aws.amazon.com/blogs/machine-learning/smart-approvals-in-amazon-quick-human-oversight-where-it-matters/
- Record: https://forck.live/items/31637-smart-approvals-in-amazon-quick-human-oversight-where-it-matters
- Subject: Bedrock / Nova

Amazon added Smart Approvals to Quick, a review layer that automatically approves eligible agent actions or returns them to the user, so security leaders can keep human attention for decisions that need it. Permissions still set the boundary: denied actions stay denied, and mandatory human approvals still apply, with an action eligible only when the user's setting is "Ask each time" and no other control requires approval. A separate classifier model judges each eligible action against the user's request and a bounded view of the conversation, weighing what the action does, where data goes and who it affects, and can consult the user's knowledge graph, which stays within the Quick account. Quick says it does not use the content the classifier reviews, including knowledge graph data, to train models or improve the service. Each automatic approval is single-use, applies only to the exact action and parameters reviewed, and grants no ongoing permission; actions the classifier does not approve, timeouts and other review failures return to the user. Administrators control who can use it through Custom Permissions, where it is on by default but profiles with deny-by-default must explicitly allow it, and users can turn it off for themselves across conversations and scheduled runs. The permission service records permission updates associated with Smart Approvals in AWS CloudTrail, and Quick also records permission-check verdicts and changes to a user's Smart Approvals setting.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/smart-approvals-in-amazon-quick-human-oversight-where-it-matters/:

> How should security leaders preserve human oversight as AI agents take on more work? Permissions establish which actions agents can take, but a permitted action can still warrant a person’s judgment. Requiring approval for every step might seem like the safest approach, yet multi-step tasks can produce repeated prompts , even for routine actions. Research on security warnings shows that attention and adherence can decline with repetition. The challenge isn’t to require more approvals, but to preserve attention for decisions that need human review.
> 
> Smart Approvals in Amazon Quick addresses this challenge by reviewing eligible actions within your existing controls. It evaluates each proposed action against the user’s request and either approves it automatically or returns it to the user for review. It does this without granting additional permissions or removing required human approvals. Security leaders retain control over which actions must always go to a person, while Smart Approvals is designed to reduce unnecessary interruptions in routine work.
> 
> Figure 1: Policy determines eligibility. Smart Approvals approves eligible actions or returns them to the user for review.

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