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About This Automation
Revenue and fee reconciliation matches incoming deposits to client invoices and categorizes payment processor fees, a manual process that consumes 10+ hours weekly.
Automation queries outstanding invoices in real time, matches deposits by amount and date with confidence scoring, and automatically categorizes fees and posts journal entries. The result is same-day reconciliation, accuracy, and less manual work per cycle.
Key features:
Match incoming deposits to outstanding invoices automatically using amount, date, and customer reference data
Assign confidence scores to matches and flag low-confidence items for human review
Extract and categorize payment processor fees by type and map them to correct expense accounts
Create and post journal entries in accounting software with full audit trail and source references
Reconcile bank accounts and resolve outstanding items without manual intervention
Generate reconciliation summary reports ready for management review and approval
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Manual deposit to invoice matching
Cross-referencing deposits against outstanding invoices is time-consuming and error-prone, especially with partial payments and combined deposits.
80%
2
Fee categorization and tracking
Payment processor fees, chargebacks, and refunds must be manually identified, categorized, and cross-checked against fee schedules.
67%
3
Discrepancy research and resolution
Unmatched deposits and timing differences require manual investigation, customer contact, and duplicate entry checks.
53%
4
Manual journal entry creation
Each matched transaction and fee must be manually entered as a journal entry with correct account coding and source references.
40%
5
Multi-portal data consolidation
Staff must log into multiple bank and processor portals, download separate reports, and manually consolidate data into spreadsheets.
26%
DisclaimerAll 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 of deposits to invoices is time-consuming, error-prone, and.
8.5/ 10
AI Fit Rating™Deposit matching and fee categorization are rule-based tasks with clear.
9.1/ 10
Automation Lift Index™Automation reduces manual time by 65%, improves accuracy to 99%, and enables.
8.8/ 10
Hidden Overhead™Context switching between portals, spreadsheets, and accounting software, plus.
7.3/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. Receive Bank and Processor Datatrigger
Automated daily pull of settlement reports and bank APIs. New transactions are captured in real time without manual download.
2. Normalize Transaction Data
Automation standardizes transaction formats, extracts key fields (amount, date, reference), and deduplicates entries across sources.
3. Match Deposits to Invoices
The automation queries for outstanding invoices and matches deposits by amount, date, and customer reference. High-confidence matches are flagged for posting.
4. Identify Fees and Adjustments
Automation extracts fee line items from processor reports, categorizes them by type (processing fee, chargeback, refund), and logs them in a structured format.
5. Flag Discrepancies for Review
Unmatched deposits, timing differences, and anomalies are flagged and sent to the Finance Manager with context and suggested actions.
6. Post Journal Entries to QuickBooks
Matched transactions and fees are automatically posted as journal entries to the correct accounts, with full audit trail and references.
7. Send Reconciliation Report
A daily reconciliation summary is generated and emailed to the Finance Manager, showing matched items, fees posted, and any items requiring manual review.
Everything you need to know before mapping this process.
Automation flags low-confidence matches and unmatched deposits for human review, with full transaction details and suggested customer references. Your team reviews these exceptions and can manually assign them or investigate further.
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