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.
Start Free TrialAvg 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.
Everything the 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.
From comment to 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.
Integrates with
Best for
- 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
Common 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.
Configurable. By default, unapproved comments stay in the "held" state indefinitely and trigger alerts at the SLA threshold. You can also configure an escalation timeout (e.g., "after 60 minutes, escalate to the queue manager") or an auto-action timeout (e.g., "after 24 hours, auto-apply the AI suggestion").
Yes. Every queued comment shows the classification, confidence score, the specific rule that flagged it, and a sample of similar historical comments. This context makes approval decisions much faster and more consistent.
Yes. The audit log includes every field required for SOC 2 and GDPR compliance: reviewer identity, timestamp, classification, rule, decision, and any manual note. Logs are immutable after creation and exportable as CSV or JSON for external audit.
Yes. Multi-select similar comments (by classification, keyword, or account), and approve them in one action. The AI uses the bulk decision to improve future classifications so the queue volume shrinks over time.
Yes. FeedGuardians has a mobile-optimized web app so reviewers can approve comments from their phone. Good for after-hours and weekend coverage. Native iOS and Android apps are on the roadmap.
Ship the workflow
in minutes
Configure once, deploy across every account, let the team get to work.
Start Free Trial