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LedgerFlow Finance — Case Study
Fintech Reconciliation Ledger
Automated transactional auditing at high volumes
ClientLedgerFlow Finance
Timeline16 Weeks
Outcome Metric99.999% audit verification loops
The Challenge
LedgerFlow processed millions of B2B transactions monthly but struggled with daily manual reconciliation. Cross-matching clearing reports from Stripe, banks, and internal ledger entries took days, leading to auditing overhead.
Our Engineering Solution
We constructed a high-throughput, double-entry ledger database using Go and PostgreSQL. The service utilizes a message queue structure to parse incoming clearing reports asynchronously, auto-matching transactions and flagging exceptions using rules-based validation engines.
GoNext.jsPostgreSQLRedis
Measurable Results
Reconciled over $40M in transaction volume with 99.999% audit verification accuracy.
Reconciliation loop times dropped from 24 hours down to near real-time (under 5 seconds).
Auto-identified transaction discrepancies, saving an estimated $12,000 in monthly processing leakage.
Services used in this project
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