A deterministic bank reconciliation platform that processes financial data using structured logic and generates consistent, auditable reconciliation outputs — replacing fragile spreadsheet workflows with results you can defend.
Manual bank reconciliation is time-consuming, error-prone and difficult to audit. Semi-automated tools lack consistency and traceability.
LedgerShield automates reconciliation using deterministic matching and structured validation — the same inputs always produce the same, explainable result.
Consistent, auditable reconciliation with traceable results and structured BRS generation in standard accounting format.
Multiple strategies — exact match, amount tolerance, date tolerance, and description similarity.
Matches transactions within a configurable date window, accounting for timing differences.
Identifies and flags duplicate transactions in both statements and ledger entries.
Detects and matches reversed transactions for accurate reconciliation.
Generates Bank Reconciliation Statements in standard accounting format, ready for reporting.
Explains why transactions are unmatched — not just a generic "unmatched" flag.
Illustrative figures representing a typical workflow. Outputs are produced using deterministic matching logic.
Most reconciliation workflows rely on manual comparison or semi-automated tools that lack consistency and traceability. LedgerShield uses structured financial logic to produce repeatable, auditable results — and platform evaluation confirms it.
$ ledger reconcile --bank jun.csv --ledger gl.csv › exact match ................. 812 › amount tolerance ............ 154 › date tolerance .............. 61 › description similarity ...... 23 › duplicates flagged .......... 9 › reversals matched ........... 7 matched: 1,050 / 1,200 unmatched: 150 (with explanations) BRS: generated format: standard
Reconciliation across multiple client accounts with efficient batch processing.
Verified reconciliation outputs for audits and compliance verification.
Automated reconciliation across multiple bank accounts.
Scalable reconciliation for large transaction volumes.
Designed for deployment in cloud environments.
Supports containerised deployment for scalability.
Organised data workflows for financial processing.
Secure execution environments for financial data.
See how deterministic reconciliation eliminates manual spreadsheet work and audit risk.
