Assumptions and limits
This model is deliberately narrow. It values time and direct cost only. It does not price quality improvement, customer satisfaction, risk reduction or revenue lift, because those need evidence from your own operation.
Adoption is the most common source of error. A system that works in a pilot rarely hits its full share on day one. For planning, assume a ramp and test the conservative case.
The model also ignores integration difficulty. Two systems with the same name can differ enormously in effort. List each integration and its owner before you commit budget.
Finally, the figures are not a quote. They are a planning tool. Use them to frame a conversation, then get a scoped proposal based on your actual systems and workflows.
Questions about AI ROI and Payback Calculator
How is AI ROI calculated here?
ROI is calculated from time returned, not from projected revenue. Hours returned multiply by loaded hourly cost to give monthly value, and payback divides setup cost by net monthly value.
This method is deliberately conservative. It ignores soft benefits such as faster reporting or improved customer response, so the result is a floor, not a promise.
What counts as hours returned?
Hours returned are the manual minutes removed by AI or automation, adjusted by the share of work actually automated or assisted.
The share input is critical. A system that handles 45% of a workflow returns less than half of the total time, because exceptions and human review still take time.
Why use loaded hourly cost?
Loaded hourly cost includes salary, benefits and overhead, so it reflects the true internal cost of a person's time.
A plain salary understates value. If you do not know your loaded rate, use 1.3 to 1.5 times base salary as a planning figure and state the assumption in your business case.
What if payback is negative?
A negative payback means monthly running cost exceeds monthly value, so the system never pays back on time saved alone.
In that case, look for other benefits: error reduction, faster turnaround, better data capture or risk reduction. If none exist, the project is not ready.
Should I trust the first-year figure?
Treat first-year net as a model estimate, not a guarantee. It assumes steady adoption from month one.
Real adoption ramps up over weeks or months. For a more conservative plan, cut the share input by 20% and rerun the model before presenting a budget request.