About This Automation Merchant fee reconciliation involves matching processor payouts to bank deposits and verifying that transaction fees match expected rates. Done manually, it requires exporting data from multiple systems, cross-checking spreadsheets, and investigating discrepancies line by line.
An automated version pulls payout and deposit data automatically, recalculates expected fees, and flags only the transactions that need human judgment. This keeps books accurate while freeing staff from repetitive matching and calculation work.
Key features:
Matches processor payouts to bank deposits automatically Recalculates expected fees for every transaction against current rate cards Flags variances that fall outside normal tolerance Posts confirmed fee adjustments directly to the ledger Compiles and sends a client-ready reconciliation summary Reduces manual spreadsheet cross-checking to exception review only Top friction points when done manually The issues teams report most often with this process
# Friction point Companies Report This 1 Manual payout to deposit matching
Lining up each payout with its bank deposit by hand takes considerable time each cycle.
80% 2 Time spent investigating variances
Determining whether a discrepancy is a processor error, rate change, or chargeback slows the process.
67% 3 Inconsistent rate calculations
Applying rate cards manually to every transaction increases the chance of calculation errors.
53% 4 Delayed client reporting
Summaries reach clients later than expected because they wait on manual drafting.
40% 5 Incomplete transaction review
Only a sample of transactions gets checked rather than the full batch.
26%
Disclaimer All data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more Automation readiness How well-suited this process is for automation
Process Pain Score™ Manual matching and investigation consume significant time each week. 8.7 / 10
AI Fit Rating™ Structured, repeatable data matching is well suited to automation. 8.7 / 10
Automation Lift Index™ Automation removes most manual matching and calculation effort. 8.2 / 10
Hidden Overhead™ Context switching between systems adds unseen time and errors. 6.5 / 10
How The Automation Works The full workflow, from trigger to completion.
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1. Weekly Reconciliation Trigger trigger
Every Monday morning, the automation platform pulls the prior week's payout and deposit activity for all connected client accounts.
2. Payout Matching Runs
The automation connects,, and, pulls payout batches and bank deposits, and matches each deposit to its source payout.
3. Fee Variance Runs
The automation recalculates the expected fee for every transaction using each processor's rate card and compares it to the actual fee charged.
4. Investigate Discrepancy
When a variance exceeds the threshold, a senior bookkeeper reviews the flagged transaction and decides the correct adjustment.
5. Post Fee Adjustment
Approved adjustments post automatically to the fee expense account and the GL reconciles against the bank feed.
6. Send Reconciliation Summary
A summary of matched deposits, posted adjustments, and open variances sends to the account manager automatically.
Most popular tool stack used — the complete tool combinations companies use Disclaimer All data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more What you get when you map this process Everything you need to understand, plan, and build your automation.
ROI and business case What this process costs today and what changes once it's automated.
Launch schedule What gets built, in what order, and what success looks like once it's live.
Process runbook How the automation runs day to day, including exceptions and human decision points.
Developer handover pack Full build spec, logic, and configuration — ready to hand off without a briefing call.
Integration and connections guide Every tool connection, credential, and data mapping the build needs.
Test and QA plan Every scenario checked and signed off before the automation goes live.
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Frequently asked questions Everything you need to know before mapping this process.
What does this automation handle for merchant reconciliation? It matches processor payouts to bank deposits and checks whether transaction amounts match expectations, flagging anything unusual.
Does someone still need to review flagged discrepancies? Will this integrate with the accounting and payment tools we already use? Does this affect historical records already in the ledger? Is this suitable for firms handling multiple client accounts? View more FAQs