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About This Automation
Commission tracking and reconciliation is the manual process of receiving lender statements, reformatting data, cross-referencing loans, identifying discrepancies, and recording commissions in the accounting system.
Automation extracts commission data from multiple statement formats, validates each commission against the loan register in real time, flags discrepancies immediately, and prepares verified records for accounting entry. The result is same-day commission recording with discrepancy detection.
Key features:
Extract commission data from PDF, email, and portal statements automatically
Standardize loan IDs, dates, and amounts to match internal conventions
Match each commission to the loan register and detect duplicates or missing loans
Flag discrepancies and exceptions for immediate review
Prepare validated commission records for accounting system entry
Generate daily reconciliation alerts instead of month-end reports
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Manual data reformatting
Staff spend 20 minutes per statement batch copying and reformatting loan IDs, dates, and amounts into spreadsheet templates.
80%
2
Loan register lookup delays
Cross-referencing each commission against the loan register is time-consuming and prone to lookup errors.
67%
3
Month-end reconciliation crunch
Compiling a full reconciliation report at month-end requires 30 minutes of manual data aggregation and comparison.
53%
4
Delayed discrepancy detection
Discrepancies are identified only during month-end review, causing delays in lender contact and commission correction.
40%
5
Duplicate and missing commission tracking
Manual flagging of duplicates and missing commissions is inconsistent and relies on staff memory.
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 parsing and validation create bottlenecks; discrepancies surface only at.
8.7/ 10
AI Fit Rating™Commission data extraction and loan register matching are highly structured.
9.1/ 10
Automation Lift Index™Automation eliminates 95% of manual data handling, enables same-day processing.
8.7/ 10
Hidden Overhead™Context switching between email, spreadsheets, and accounting system; month-end.
7.3/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. Commission Statement Receivedtrigger
Lender sends commission data via email, API, or portal. The automation platform monitors the inbox or API endpoint and triggers on new statements.
2. Extract and Standardize Data
The automation parses the commission statement, extracts loan ID, borrower name, commission amount, and date, and reformats them to match internal standards.
3. Query Loan Register
The automation looks up each loan in the loan register (via API or spreadsheet) to confirm funding status and borrower details.
4. Match and Validate
The automation compares the commission data to the loan register, flags duplicates, missing loans, or amount mismatches, and assigns a validation status.
5. Record
Validated commissions are automatically created as journal entries or invoices with the correct date and amount.
6. Update Commission Ledger
The master commission ledger is updated with the new commission, status, and reconciliation date.
7. Alert on Discrepancies
Any flagged discrepancies are posted with details so the finance team can investigate and contact the lender if needed.
Everything you need to know before mapping this process.
The automation extracts commission data from PDF statements, email attachments, and portal text exports. It standardizes all formats to match your internal loan ID and date conventions.