Automating Financial Reconciliation
Engineered an automated reconciliation suite that ingests daily bank API webhooks, standardizes supplier line items, applies deterministic matching rules, and automatically flags exceptions into an interactive audit queue.
01. Client Context
02. The Problem in the Client's Words
"Our month-end close takes 3 full days. We have three accountants downloading banking CSVs, cross-referencing QuickBooks purchase orders, and manually calculating exchange rate differences line by line. If one number doesn't match, someone spends hours chasing down a $4.20 wire fee discrepancy."
03. Constraints & Realities
- Data must reconcile to the exact cent; zero rounding tolerance.
- Must handle 4 different bank statement formats and Stripe fee deductions.
- Staff cannot have direct database access; must use a verified review interface.
04. Solution & Architecture Blueprint
Data flow showing intake, deterministic validation barriers, and permanent double-entry audit logging:
05. Data & Security Design
Role-based access: staff accountants can reconcile matched batches; only the Finance Director can approve unmatched variance overrides.
Immutable transaction ledger: matched records are cryptographic hashes of bank reference + invoice ID. Once locked, lines cannot be edited without a dual-signature audit journal.
Staging tables enforce strict schema constraints: amounts must parse to decimal(12,2), dates must be within 30 days of invoice timestamp, and currency conversion must match central bank rates.
06. Measured Results (Truth Gate Verified)
Backed by facts.jsonTime elapsed from bank statement availability to verified trial balance close
Period: Measured across 3 consecutive month-end closes
Percentage of lines matched automatically with zero human intervention
Period: Over 12,000 processed transaction lines
Database integrity checks and zero balance sheet adjustments
Period: All closed periods
07. What Went Wrong & What I Changed
Early matching rules failed on wire transfer fee deductions (e.g. $15 intermediary bank fee causing invoice mismatch). We had to implement an intelligent fuzzy range matcher specifically for known fee thresholds.
09. What I'd Do Differently
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