Business Process Automation ROI Calculator
This free calculator estimates the annual savings, payback period, and three-year ROI of automating repetitive business processes with AI agents and workflow automation. It is built for operations leaders, CFOs, and IT directors at manufacturers and distributors who need a defensible first-pass business case before engaging vendors. Enter how many processes you want to automate, the weekly hours they consume, and your loaded labor cost, and the model returns hard numbers you can put in front of a leadership team in under two minutes.
Your numbers
Count distinct repetitive workflows in scope, such as invoice matching, order entry, or report preparation.
Total weekly staff time each process consumes across everyone who touches it.
Salary plus benefits and overhead divided by working hours. US back-office averages run $35-60.
Well-scoped AI automation typically absorbs 40-80% of a repetitive process, leaving exceptions to humans.
Software, integration, and consulting to deploy the automation. Mid-market ERP automation projects typically run $40k-150k.
Your results
Estimates only. Actual ROI depends on process complexity, exception rates, and adoption. Validate with a scoped discovery before committing budget.
Get your full automation ROI report
We will email you a personalized breakdown of your savings model, benchmark comparisons, and the three fastest-payback processes to automate first, followed by a short call with an automation specialist.
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How the ROI math works
The model starts from your current annual labor cost: processes multiplied by weekly hours, 52 weeks, and your fully loaded hourly rate. It then applies an automation rate, which is the share of that work software can realistically absorb. We deliberately do not assume 100% automation, because every real process retains exceptions, approvals, and edge cases that stay with humans. Savings are compared against a one-time implementation cost to produce payback in months and a three-year net ROI. The model excludes ongoing license fees and soft benefits like faster cycle times, so treat the output as a conservative floor rather than a ceiling.
Benchmarks behind the defaults
The default values reflect what we see across mid-market discrete manufacturers running ERP systems like Infor SyteLine and LN. They produce a typical outcome: roughly $140k in annual savings on a $75k project, with payback in about six months. Key reference points:
- Fully loaded back-office labor cost in US manufacturing averages $35-60 per hour.
- Well-scoped AI automation absorbs 40-80% of repetitive process volume; 60% is a safe planning number.
- Mid-market automation implementations typically cost $40k-150k depending on integration depth.
- Payback under 12 months is the common approval threshold for automation projects.
How to interpret your results
A payback period under 12 months with a three-year ROI above 200% is a strong candidate for immediate action; most CFOs will approve it. Payback of 12-24 months usually means the scope is too broad or the processes are too small individually, so narrow to the two or three highest-volume workflows first. If payback exceeds 24 months, revisit your inputs: either labor hours are underestimated, or the processes are not repetitive enough to automate well. Also compare the hours-returned figure against your hiring plan, because avoided headcount is often the number that actually moves a budget decision.
How Netray helps you act on the numbers
Netray designs and builds AI automation for enterprise ERP environments, including Infor SyteLine, Infor LN, and Baan, with deep experience in aerospace, defense, and discrete manufacturing. We start with a short discovery that validates the assumptions in this calculator against your actual transaction volumes, then deliver a prioritized automation roadmap with firm pricing. Because we build both cloud and fully on-prem AI deployments, regulated manufacturers can automate without sending data outside their walls. Most clients see their first automated process live within 6-10 weeks.
Frequently Asked Questions
What automation rate should I choose?
Start with the 60% typical setting. Choose 40% if your processes have many exceptions, judgment calls, or poor data quality, and 80% only for highly structured, high-volume work like invoice matching or standard order entry with clean master data. In practice, most teams land near 60-70% after the first optimization cycle, so the typical setting keeps your business case defensible without underselling the opportunity.
Does the calculator include software license costs?
No. It compares labor savings against a one-time implementation cost only. If your solution carries annual licenses or usage fees, subtract them from the annual savings figure before computing payback. For many AI agent deployments, especially on-prem ones, ongoing costs run 10-20% of the implementation cost per year, which typically shifts payback by only one to three months.
Are labor savings the only benefit of process automation?
No, and they are often not the largest one. Automation also cuts error and rework costs, accelerates cycle times that unlock working capital, improves on-time delivery, and removes key-person risk on tribal-knowledge processes. This calculator sticks to labor because it is the easiest number to defend in a budget meeting, but a full business case should quantify error reduction and cycle-time impact as well.
Get a validated automation business case for your top processes from Netray's automation engineers.
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