Introducing AI-Assisted Open Transaction Analysis in Cointab

In every reconciliation process, the most time-consuming work begins after the matching is complete. While many transactions can be matched automatically using structured rules, finance teams are often left with a smaller set of open transactions that require manual investigation. These unresolved items may be caused by missing files, delayed settlements, refunds, deductions, partial payments, data quality issues, or differences in partner records.

To help finance teams resolve these exceptions faster, Cointab now includes AI-Assisted Open Transaction Analysis.

After Cointab applies its reconciliation engine and identifies matched, partially matched, unmatched, and skipped transactions, AI can analyze the remaining open items and provide additional insights. Instead of manually reviewing rows across multiple reports, users can quickly understand why a transaction may remain unresolved and what action may be required.

The AI looks for patterns that are often difficult to capture through fixed rules alone. It can identify situations involving incomplete references, inconsistent descriptions, missing identifiers, unusual grouping scenarios, or partner-specific data variations. Based on the available evidence, it suggests possible explanations for why a transaction remains open.

For example, AI may indicate that a payment appears to be delayed, a settlement file may be missing, a refund or return could explain the difference, or a deduction may have been applied by a marketplace or payment partner. It can also suggest whether the issue requires internal review or follow-up with an external partner.

Importantly, Cointab's AI is designed to be conservative and audit-friendly. It does not force uncertain matches. When evidence is insufficient, transactions remain open for user review, ensuring that finance teams retain full visibility and control over reconciliation outcomes.

By combining structured reconciliation with intelligent exception analysis, Cointab helps finance teams spend less time investigating discrepancies and more time resolving them. The result is faster reconciliation cycles, improved accuracy, and clearer visibility into outstanding issues.