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12h • General Discussion 💬
Built Document Review Queue That Catches 100% Of Extraction Errors 🔥
Automated extraction is powerful. But wrong data in QuickBooks or CRM is worse.
Needed confidence-based review queue catching low-quality extractions before problems.
Built smart review system. Only reviews uncertain extractions. 100% accuracy maintained with minimal human time.
THE APPROACH:
Not all extracted data has equal certainty. Some 99% confident. Others 60% uncertain.
Route based on confidence. High → auto-process. Low → human review.
THE QUEUE WORKFLOW:
Switch checks confidence per field (not just overall)
Critical fields (amount, date, invoice number) need 95%+
Supporting fields (notes, descriptions) need 85%+
ANY critical field below threshold → Review queue
Airtable record: document preview + extracted data side-by-side
Slack notification when queue has items
Reviewer corrects if needed, approves
Webhook continues processing
THE CRITICAL INSIGHT:
Don't review entire documents. Review specific uncertain fields.
Invoice with 99% confident amount but 60% confident date? Only review date. Accept amount.
REAL EXAMPLE:
500 invoices monthly. 94% overall accuracy. But 30 invoices have errors.
Without field-level routing: Review all 500 (forever) or auto-process all (30 errors reach system).
With field-level routing: System flags 45 with uncertain fields. Review 45 takes 60 minutes monthly. Zero errors reach destination.
THE REVIEW INTERFACE:
Document preview embedded
Extracted data in clean format
Confidence scores highlighted (red <85%, yellow 85-95%, green >95%)
Editable fields for corrections
One-click approve
Mobile friendly. Review from phone.
THE METRICS:
500 invoices monthly
45 flagged (9%)
80 seconds average review
60 minutes total monthly
Errors caught: 100%
TIME COMPARISON:
Manual review ALL: 500 Ă— 2 min = 16 hours monthly
Smart queue UNCERTAIN: 45 Ă— 1.3 min = 1 hour monthly
Saved: 15 hours monthly
Template in n8n with review queue here
THE LESSON:
Automation doesn't mean zero human involvement. Means intelligent involvement only where needed.
Route by confidence. Review uncertainty. Auto-process certainty.
How do you handle uncertain extractions in your workflows?
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Built Document Review Queue That Catches 100% Of Extraction Errors 🔥
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