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Case study · Partner Statement Reconciliation

Reconcile partner statements in minutes, not days.

Drop in both ledgers. A 16-stage engine matches invoices, payments and the awkward lump-sum settlements, shows the reasoning behind every match, and produces an evidence-backed discrepancy report you can send to the partner.

days → minutes16-stage matchExcel export
Live reconstruction

Try the matching engine on sample ledgers

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days → minreconciliation time
16-stagematching engine
1-clickExcel export
The problem

When two ledgers disagree, someone loses days

When a partner's statement and your ledger disagree, someone has to match them line by line - different formats, different currencies, part-payments, and grouped invoices that never line up. It swallows a day or two of concentrated work, and you still finish unsure you caught everything.

Meanwhile the disputed balance sits there: cash you cannot collect and cannot write off, because nobody can prove which side is right.

What we built

A 16-stage matching engine that shows its reasoning

You drop in both statements and the engine does the matching: invoice numbers first, then amount-and-date proximity, then the awkward cases where several invoices were settled as one lump sum. Purpose-built parsers handle the format quirks; AI steps in only for layouts it has not seen.

The result is an interactive, line-by-line report of what agrees, what is missing on each side, and where the balances diverge - then it exports to Excel in one click. Because every match shows its reasoning, you walk into a dispute with proof, not a hunch.

What changed

The outcomes, in plain numbers

  • A two-day reconciliation becomes a few minutes
  • One report: what agrees, what is missing on each side, where balances diverge
  • Every exception comes with evidence - disputes start from proof
  • Cash stuck in disputed balances gets collected sooner
  • One-click Excel export for the partner
Why it matters

Could this be your workflow?

If you trade with partners whose statements never quite line up - many trading partners, intercompany accounts, wholesale volumes - drop yours in. The engine is live today.

Best for · many trading partners, intercompany, wholesalers

Have a similar workflow? Let's map it.

We start with a fixed-scope AI Opportunity Audit: we map where the hours and the risk actually are, then show you the one or two systems worth building first.

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