PayrollConnect

Upload payroll. See who is at risk.

Drop your existing payroll export — Sage, PaySpace, or a plain CSV. FinVeil scores every employee on six financial-stress signals and hands HR a risk map before the next payrun closes.

Illustrative — not customer data

How it works

Three steps.

1

Upload CSV

Drag your existing payroll export — no integration required.

2

Engine scores 6 factors

Garnishees, loan burden, net-pay ratio, trend, salary band, multiple debts.

3

Dashboard lights up

Every employee scored 0–100, filterable by department and risk band.

Benefits

Why teams choose PayrollConnect.

Spot risk before resignation

Rule-based scores flag garnishee orders, heavy loan deductions and falling net pay, so HR can offer support early.

Zero integration

Upload a CSV payroll export. No API call required, no consultants.

POPIA from upload

AES-256-GCM field-level encryption for employee references and payroll amounts. Uploads are audit-logged. Tenant isolation is enforced in the application layer.

Department benchmarking

Compare risk across teams, locations, and pay bands. Spot patterns, not anecdotes.

Who it's for

HR directorsCFOsRecruitment ops managers

Run the numbers

Calculate what financial stress is costing your business.

ROI calculator

What financial stress is costing you.

Plug in your rough numbers to see an estimate of the annual drag on productivity, based on the assumptions shown.

500
15%

Annual productivity loss

R 3 645 000

75 employees × 27 days × R1,800

Assumptions

27 lost working days and R1,800 per day for each high-risk employee. These are planning assumptions, not measured FinVeil customer outcomes.

Developer-friendly

Drop it into your stack.

REST API with an OpenAPI reference, and a test mode on the same API. Sign up for test API keys without a sales call. SDKs are available on request.

Read the docs
payroll-connect.bashbash
curl -X POST https://api.finveil.money/api/payroll/upload \
  -H "Authorization: Bearer $FINVEIL_API_KEY" \
  -F "file=@payroll-march-2026.csv"

# => { "upload_id": "up_a8e2...", "employees_affected": 1248, "records_processed": 1248 }

Ready to try PayrollConnect?