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Most pages open in under 3 seconds. Larger reconciliations can take a little longer.
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Most pages open in under 3 seconds. Larger reconciliations can take a little longer.
Customer payments rarely land as one deposit per invoice. Ogbadu's AI resolves one-to-many settlements, netted fees, and short-paid invoices automatically, and only escalates the ones that genuinely need a human decision.
100%
precision on labeled test cases (zero false auto-matches)
0
manual invoice-by-invoice tracing for one-to-many settlements
The problem
A single ACH deposit often settles five or ten open invoices at once. Manually tracing which invoices a lump payment covers is the single slowest part of AR close.
Customers deduct for damaged goods, early-pay discounts, or disputed charges. Without a system that separates "paid in full" from "paid, minus an explainable adjustment," every short pay looks like an open exception.
Remittance comes in under a parent company or a different legal entity than the invoice was billed to, and a naive line-item match misses it entirely.
How Ogbadu solves it
The engine searches for the exact combination of open invoices that sums to a deposit, including fee-netted amounts, and reports the tie-out with the specific invoices it used.
Every unresolved item is classified as partial, short-paid, overpaid, or duplicate, not just "unmatched," so your team works a prioritized queue instead of a flat list.
When a credit memo or approved write-off explains a gap, Ogbadu cites the specific adjustment record so the gap is resolved with evidence, not assumed away.
Tolerant name matching resolves invoices even when the payer's legal name differs from the billed customer, without accepting genuinely unrelated payments.
Yes. The matching engine evaluates combinations of open invoices to find the set that sums to a given deposit within tolerance, including when a processing fee is netted out of the payment.
It's classified distinctly from a fully unmatched item. If a documented credit memo or approved adjustment explains the gap, that evidence is cited directly; if not, the shortfall is flagged for review with the exact amount outstanding.
Upload a real export and see what the AI proposes in minutes.
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