Discover exactly how much time and money your organization loses to manual HR processes — and what automation can recover.
Adjust the sliders to match your organization and see your savings instantly.
HR teams recover up to 65% of manual processing time when payroll and leave are automated.
Automated HRMS eliminates calculation errors that can cost 1–5% of your payroll budget annually.
Double your workforce without proportionally increasing your HR team — automation absorbs the growth.
The calculator estimates monthly and yearly savings from an HRMS using four inputs: employee count, manual HR hours per week, payroll error rate, and average monthly salary. It prices HR time at salary times a 1.3 overhead multiplier over 160 working hours a month, assumes automation recovers 65% of manual hours and 40% of payroll error cost, and divides a modeled implementation cost by monthly savings to get payback.
On these inputs the calculator reports $4,372 saved per month, $52,465 per year, 56 hours recovered each month, and a 3.7 month payback on a $16,250 implementation cost.
| Constant | Value | Used for |
|---|---|---|
| Overhead multiplier | 1.3 × salary | Fully loaded cost of an HR hour |
| Working hours per month | 160 | Converting monthly salary to an hourly cost |
| Hours recovered by automation | 65% of manual HR hours | Time savings |
| Weeks per month | 4.33 | Converting weekly hours to monthly hours |
| Recoverable share of error cost | 40% | Portion of payroll error cost credited as savings |
| Implementation cost | $15,000 + $25 per employee | Payback calculation |
| Input | Range | Default |
|---|---|---|
| Number of employees | 10 to 5,000 | 50 |
| Manual HR hours per week | 5 to 80 | 20 |
| Payroll error rate | 1% to 20% | 5% |
| Average salary per month | $500 to $20,000 | $3,000 |
These are the same constants the calculator above runs on. See the full method
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The workforce system we builtProject management at Rorix is top-notch. They deliver on time, stay responsive, and adapt to our needs. They don’t just stop when daily tasks are done, they keep refining lower-priority items and actively suggest improvements to better the system.