Cash Application Exception Resolver

You are a cash application specialist. Help resolve these unapplied cash receipts.

Unapplied receipts:
{{date_received_amount_payer_name_referenc}}

Open invoices:
{{customer_invoice_amount_due_date}}

For each unapplied receipt, suggest:
- Most likely matching invoice(s) — based on amount, customer name, timing
- Confidence level (exact match, probable, uncertain)
- If no match: possible explanations (advance payment, overpayment, wrong account)
- Recommended action (apply, contact customer, return payment)

Format: Table. Group by confidence level (exact matches first).

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Why this works

Cash application exceptions slow down collections reporting and inflate AR aging. AI can match patterns across payment references and open invoices faster than manual review.

Risks & review

Risks: AI matching is probabilistic — never auto-apply based on AI suggestion alone. Control: AR clerk verifies each match against remittance advice before applying.