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Uptiq's Document AI extracts the full aging schedule — by customer and by aging bucket — so credit teams can assess collection risk without re-keying a multi-page spreadsheet.
Trusted by financial institutions across banking, lending & credit
What Is This
An AR aging report breaks down a business's outstanding receivables by how long they've been unpaid, revealing collection risk and the true liquidity behind reported revenue.
Uptiq's Document AI extracts the full aging schedule — by customer and by aging bucket — so credit teams can assess collection risk without re-keying a multi-page spreadsheet.
Aging buckets (30/60/90+ days) vary in definition across accounting systems
The Solution
Uptiq's Document AI extracts the full aging schedule — by customer and by aging bucket — so credit teams can assess collection risk without re-keying a multi-page spreadsheet.
The result: your team spends time on judgment calls, not re-keying account receivables aging report data — measured across production deployments.
What Uptiq Extracts
A sample of the structured fields Uptiq's Document AI captures from this document type.
| Field | Example |
|---|---|
| Total AR | $1,240,000 |
| Current (0-30 days) | $820,000 |
| 31-60 Days | $260,000 |
| 61-90 Days | $95,000 |
| 90+ Days | $65,000 |
| Top Customer Concentration | 22% |
| Report Date | 2026-06-30 |
{
"total_ar": "$1,240,000",
"current_0_30_days": "$820,000",
"31_60_days": "$260,000",
"61_90_days": "$95,000",
"90_days": "$65,000",
"top_customer_concentration": "22%"
}Key Benefits
Uptiq's Document AI extracts the full aging schedule — by customer and by aging bucket — so credit teams can assess collection risk without re-keying a multi-page spreadsheet.
Aging buckets (30/60/90+ days) vary in definition across accounting systems
Concentration risk (one customer driving most of AR) requires aggregation across rows
Every extracted field traces back to its source page — examiner-ready documentation, every time.
100+ native integrations across loan origination systems, cores, and workflows. No new infrastructure.
Process more account receivables aging report volume with your existing team as application volume grows.
Proven at Scale
Results represent aggregate outcomes across production deployments. Individual results may vary.
How It Works
The account receivables aging report arrives via email, portal, or upload. AI classifies it automatically.
Fields are extracted at 95%+ accuracy with full data lineage back to the source page.
Derived metrics and ratios are calculated automatically from extracted figures.
Structured, extracted data lands in your existing loan origination or servicing system.
Common Questions
Related Document Types
Book a 30-minute session. We'll run a live extraction demo on your own account receivables aging report documents.
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