Post: Case Study: How Make.com Automation Prevented a $27K Payroll Error
David, an HR Manager, discovered a $27,000 annual salary overpayment three months after the hire. The cause: manual data entry between ATS and HRIS. The fix: Make.com ATS-to-HRIS sync that eliminates the human step entirely.
Related: Stop Candidate Ghosting with Strategic AI — Complete 2026 Guide
What Happened
A candidate accepted an offer at $103,000. During post-hire processing, the HR coordinator manually transferred data from the ATS to the HRIS. The salary field was entered as $130,000. The transposition error — swapping the 0 and 3 — went undetected through 3 payroll cycles.
Discovery came during a routine compensation audit. By then, the company had overpaid $6,750. Annual exposure: $27,000.
The Root Cause
Not the coordinator’s competence — the architecture. Every manual transcription of salary data between systems creates opportunity for this error. The ATS and HRIS don’t talk to each other. A human bridges the gap. Humans make transcription errors under volume and deadline pressure.
The Make.com Fix
When the ATS marks a candidate “Hired”, Make.com reads the offer letter data directly from the ATS and populates the HRIS fields automatically:
- Base salary → HRIS compensation field (exact, no transcription)
- Job title → HRIS position field
- Start date → HRIS hire date
- Department → HRIS org structure
- Manager → HRIS reporting relationship
No human touches salary data between offer and HRIS. The error vector is removed.
After Implementation
David’s team ran 47 subsequent hires through the automated sync. Zero compensation data errors. Previous manual error rate: 4% (roughly 1 error per 25 hires). Post-automation: 0%.
FAQ
How did Make.com prevent the payroll error?
Automated ATS-to-HRIS sync eliminated the manual entry step. Salary data flows directly from offer letter to HRIS with no human transcription.
What was the financial impact?
$27,000 annual overpayment prevented. Actual loss before discovery: $6,750 over 3 months.
How common are these errors?
SHRM data indicates 33% of employers have discovered payroll errors from manual HR data entry. Average correction cost exceeds $1,500 per incident.
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