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Finance Systems + Automation

Payroll Automation & Accounting Integration

Cut payroll processing from 40 hours to 20 minutes per month with zero errors — eliminating outsourcing fees and reconciliation delays.

20 min

payroll processing (was 40h/month)

0%

error rate (was 8%)

$3k/mo

outsourcing fees eliminated

100%

on-time tax filing

Role

Lead Business Systems Analyst — Finance Systems

Timeline

Q3–Q4 2022 · 4 months

Delivery context

PayrollAccountingRequirementsUATSQL

The Problem

A 200-person company with manual Excel-based payroll: 8% error rate, 40 hours per month of reconciliation, and GL entries created days late — causing accounting blind spots and compliance risk. The root cause was five recurring edge cases the existing process couldn't model cleanly.

My Contribution

I led the requirements analysis for this payroll automation initiative, beginning with a structured root cause analysis of the 8% error rate. By mapping the existing manual Excel process in detail, I identified five recurring edge cases — retroactive pay changes, mid-month starts, garnishment order changes, and two others — that accounted for nearly all errors. I documented the functional specifications for automated tax calculation, ACH file generation, and General Ledger integration with QuickBooks, ran UAT with the finance team using the identified edge cases as primary test scenarios, and authored the operational runbook and cutover plan to ensure payroll continuity during the transition.

The Solution

Requirements-led automation: structured root cause analysis of error patterns, edge case documentation, tax calculation and GL integration specifications, finance team UAT using identified edge cases, and a phased cutover plan with zero payroll disruption.

Results

  • Processing time: 40 hours → 20 minutes per month
  • Error rate: 8% → 0%
  • $3k/month outsourcing fees eliminated
  • GL entries created automatically — real-time accounting visibility
  • 100% on-time tax filing, zero audit exceptions
Key learning
The 8% error rate wasn't a human failure — it was an information architecture failure. All errors clustered around five edge cases the Excel template couldn't model explicitly. Documenting those edge cases in the requirements phase — rather than leaving them to be discovered in UAT — meant the automated system handled them correctly from day one.

Tech Stack

Finance Systems

QuickBooksADPGustoGL Integration

Data

SQLSSMSExcelETL

Tools

JIRAConfluenceVisio

Methodology

Agile/ScrumBRD/TDDUATRoot Cause Analysis

Related

How this project connects to the rest of my work.