Entry reconciliation
Ledger, bank, intercompany and sub-ledger matching at volume.
- Bank and ledger matching
- Intercompany and sub-ledger reconciliation
- Materiality-aware exception handling
Reconciliation and controls for finance teams accountable to a board and an auditor — models trained on your ledger, reconciling at scale, with provenance behind every entry.
Month-end still leans on manual matching, spreadsheets and senior judgment. That works until volume rises and the deadline does not move; then control gaps open precisely where the numbers matter most.
Adding headcount scales the cost linearly. Adding an untraceable model scales the risk. Neither gives a CFO what they actually need: a close they can sign, backed by evidence an auditor can follow.
Our view: reconciliation is a controls problem before it is an AI problem. A match is only worth automating if you can prove how it was made — back to the source document, the model decision and the person who approved it.
Ledger, bank, intercompany and sub-ledger matching at volume.
Compress the close without loosening the controls it depends on.
Design and test the controls a board and an auditor expect.
Provenance that turns a match into something an auditor can follow.
We map the chart of accounts, entity structure, intercompany flows and existing controls.
We fine-tune on your history and wire the model into your ERP and close workflow.
We reconcile against samples, document the evidence and hand over a controlled process.
We will reconcile a sample against your own books and show the evidence behind each match — before you commit to anything.
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