How to Calculate the ROI of Custom Automation Before You Build

You need three numbers: the real weekly hours spent on the process, the fully loaded cost per hour, and what the current process costs in errors. Start with the hours — not the optimistic estimate, but the real number, including error correction, rework, data reconciliation, and the 'quick fixes' that take 45 minutes. Survey three people who do the work. Average their answers. Add 20% for the tasks they’ve stopped noticing.

Second: what’s the fully loaded cost per hour? Salary is the starting point, not the answer. Add benefits, overhead, and management time. For most professional roles, the fully loaded cost is 1.3 to 1.5 times the base salary divided by 2,080 working hours. A $75,000 salary becomes roughly $47 to $54 per hour fully loaded.

Third: what does the current process cost in errors? Mispriced orders, missed deadlines, compliance violations, customer churn from slow response times. This number is harder to pin down but often larger than the labor cost. Even a conservative estimate changes the calculus. And if the process lives in spreadsheets, the error-rate research says this line is bigger than you think.

In a representative scenario, the cost of doing nothing comes to roughly $77,000 per year. Take four team members who each spend six hours per week on a manual data reconciliation process, at a fully loaded cost of $50 per hour. That’s 24 hours per week times $50 times 52 weeks: $62,400 per year in labor alone. Add a conservative $15,000 in annual error costs — mispriced transactions, delayed shipments, compliance rework — and the total reaches that $77,000 figure.

What does the fix cost against that number? From a specialist consultancy, automating a single well-defined workflow typically runs $10,000 to $25,000 as a fixed scope — our own bands put one workflow automated end to end near $10,000, with multi-system orchestration starting around $25,000. Agency-built equivalents often quote $30,000 to $80,000 for the same scope, because their delivery model carries a team whether the project needs one or not. Even at the top of the specialist band, $25,000 against $77,000 of annual waste pays back in under five months; at the $10,000 floor of the band, it pays back inside the first quarter.

These numbers are conservative. They don’t account for the compounding benefits: faster onboarding because new hires don’t need to learn the manual process, reduced turnover risk because the workflow doesn’t depend on any single person’s knowledge, and the option value of the hours you’ve freed up — time your team can redirect to growth initiatives instead of maintenance.

The ROI of automation doesn’t flatten after year one. It compounds. The first year captures the labor savings and error reduction. The second year captures the same savings plus the benefits of process improvements that become possible once the manual burden is gone — better reporting, faster customer response, new capabilities that the old process couldn’t support.

There’s also a less obvious compounding factor: automation surfaces data that manual processes bury. When a human copies data between systems, the metadata — timing, patterns, exceptions — is lost. When a system handles the same workflow, every step is logged. You start seeing patterns that were invisible before: which customers generate the most reconciliation work, which product categories have the highest error rates, which steps in the process create the most delays. That visibility alone drives decisions that justify the investment.

This is the document a VP sends to their CFO. Not a pitch for technology — a financial model with three verifiable inputs, a clear payback period, and a compounding return that improves with time. If the numbers don’t work, don’t build. If they do, the only question is how many months of waste you’re willing to absorb before you act. If you want the arithmetic run on your own workflow, the free assessment does exactly that — and what the first ninety days look like is documented from our own deployments.