Fixed-fee engagement
The Payout Reconciliation Audit
For Shopify brands doing $1–20M. In two to three weeks, we trace every dollar from checkout to your ledger — and quantify exactly what's leaking.
The problem
Your tools make the totals tie. Nobody explains the differences.
Sync tools post summary journal entries engineered to match your deposits — and when something doesn't line up, their answer is “a discrepancy signals an issue needing investigation.” That investigation is your controller's evening. We do the investigation: computing what every payout should have been, then diagnosing each mismatch down to the fee, refund, or timing difference that caused it.
What we examine
- Payouts across Shopify Payments, Stripe, PayPal, and BNPL providers
- Processor fees vs. your contracted rates
- Refunds, disputes, and cross-period settlement timing
- NetSuite clearing accounts — drift, aging, and unexplained balances
- The variances your current tools tie out but never explain
What you get
A dollar-quantified findings report
Every material variance, fee anomaly, and clearing-account discrepancy — what it is, why it happened, and what it's worth.
A prioritized fix roadmap
What to change in your processes, configurations, and integrations — ordered by dollars recovered per hour of effort.
A working session with your team
We walk your controller through every finding until the numbers make sense — no report-and-run.
How it works
Data request
A short checklist: payout reports, settlement exports, and read access or extracts from your ledger. About an hour of your team's time.
Analysis
We normalize your settlement data and reconcile it independently — computing what each payout should have been, then diagnosing every mismatch.
Findings
In 2–3 weeks: the report, the roadmap, and the walkthrough. If your ops are clean, you'll know that with evidence — most audits find five to six figures.
Run by a product engineering leader who has designed and operated payment and reconciliation systems for high-growth commerce at production scale — using the same engine that powers our reconciliation product, YakLedger.