We define transaction reconciliation as identifying and matching the record of a single financial transaction across systems. This includes ensuring transactions match across internal systems of record (i.e. sub-ledgers or homegrown systems) and external sources of truth (i.e. banks). At small volumes, it is equivalent to comparing every row in a spreadsheet of detailed transactions. Each transaction might represent a user payment, invoice, or trade that is reconciled between internal systems, payment processors, or banks, as well as every step in between.

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Yes. We have worked with enterprises to speed up digital payments transformation by providing them with managed services, implementation support, and payments advisory. Reach out to our sales to learn more

We can help ingest data from a range of internal systems, and external systems such as banks statements, card processors, payment providers, data warehouses, as well as other third-party systems. Connections are built with our customer’s bespoke needs in mind upon onboarding.

Finance teams can create and manage reconciliation rules directly in our app without writing code. By analyzing reconciliation activity, We use AI to suggest matches to resolve exceptions and rule updates to increase match rates. Suggestions will only be implemented if approved, and the system allows users to preview the effect of any new rules for maximum control and accuracy.