Human-in-the-loop comment approval at scale
When you need a human to approve before anything goes live: configurable approval queues, per-role permissions, bulk actions, and a full audit log. Regulated industries and high-stakes brands use this flow.
开始免费试用Avg comments needing human review after AI triage
Regulated industries (finance, healthcare, pharma) and high-stakes brands cannot let AI act without human approval. At the same time, manual review of every comment is impossible at scale. Teams need a workflow that lets AI do the triage and humans do the approval — without the queue becoming unmanageable.
FeedGuardians routes borderline comments to an Approval Queue with one-click decisions, per-role permissions, SLA tracking, and a full audit log. The AI triages the 97% of clear decisions automatically, and your human reviewers handle the 3% that require judgment.
一切都在 workflowincludes
One-click approval decisions
Each queued comment shows the classification, confidence score, and the rule that flagged it. Reviewers click approve, hide, delete, escalate, or allow-always in one tap.
Per-role permissions
Different reviewers can have different approval scopes. Junior reviewers can handle spam, senior reviewers handle brand-sensitive cases, only leads can handle escalations.
SLA tracking per queue
Set response SLAs per queue (e.g., "approve within 15 minutes"). Alerts fire when items are about to breach SLA.
Bulk approvals
Select 50 similar comments, approve them all with one click. The AI learns from the bulk decision and improves future classification.
Audit log for every decision
Every decision is logged with reviewer identity, classification, confidence, timestamp, and rule. Exportable for compliance and regulatory audit.
Mobile approval app
Reviewers approve from their phone via the FeedGuardians mobile web app. Good for after-hours and weekend coverage.
从评论到 resolution
AI triages incoming comment
New comment arrives. AI classifies it in under 2 seconds. Clear cases (spam, scams, obvious hate speech) are handled automatically.
Borderline comments queue
Anything the AI is not confident about — plus anything matching your manual review rules — routes to the Approval Queue with full context.
Human reviewer decides
Reviewer opens the queue (web or mobile), sees comment + AI suggestion + reason, clicks a decision. SLA clock tracks response time.
Decision logged and learned
Decision applied to the comment, logged in audit trail, and used to refine the AI's classifier. Similar comments in the future are less likely to need manual review.
与...集成
最佳适合
- Regulated industries (finance, pharma, healthcare)
- Enterprise brands with approval requirements
- Brand safety teams with compliance needs
- Agencies with client-side approval flows
- High-stakes launches needing human oversight
常见 questions
Yes. Create multiple queues with different routing rules. For example: legal-sensitive comments → legal team queue; brand-voice edge cases → marketing lead queue; everything else → general moderation queue. Each queue has its own SLA and audit log.
可配置。默认情况下，未批准的评论将无限期保持在“待处理”状态，并在SLA阈值时触发警报。您还可以配置升级超时（例如，“60分钟后，升级到队列经理”）或自动操作超时（例如，“24小时后，自动应用AI建议”）。
可以。每个排队的评论都会显示分类、置信度分数、标记它的具体规则，以及类似历史评论的示例。这些背景信息使得审批决策更快、更一致。
符合。审计日志包含SOC 2和GDPR合规所需的每个字段：审核者身份、时间戳、分类、规则、决策和任何手动备注。日志在创建后不可更改，并可导出为CSV或JSON以供外部审计。
可以。多选相似评论（按分类、关键词或账户），并一次性批准。AI利用批量决策来改善未来的分类，从而随着时间的推移减少队列量。
有。FeedGuardians有一个针对移动设备优化的网页应用，审核者可以通过手机批准评论。适合在下班后和周末进行审核。原生iOS和Android应用在开发计划中。