Tools / ROI calculator
Risk-adjusted AI manufacturing ROI.
A grounded framework using Total Cost of Ownership and a Risk Discount Factor that penalizes gross gains for data maturity, training curves, and operational friction. Defaults match the executive scenario; replace them with your own 12-month numbers.
Net ROI (%) = ((Gross Annual Savings × RDF) − Annual OpEx) / Initial CapEx × 100
Step 1 · Baseline losses (last 12 months)
Manual investigation cost$180,000
Step 2 · Conservative target improvements
Step 3 · Total Cost of Ownership
Upfront CapEx (Year 0)
Annual OpEx
Step 4 · Risk Discount Factor
75% is the executive-default for a first-year deployment with average data maturity. Drop to 50–60% for greenfield SCADA or fragmented MES; raise toward 90% only if you have clean labeled history and an existing MLOps practice.
Headline
Year 1 Net ROI
178.9%
Payback period
6.7 mo
Net annual benefit
$680,000
3-yr cumulative
$1,660,000
Gross savings build-up
Downtime savings$500,000
Scrap savings$450,000
Labor savings$90,000
Gross total$1,040,000
× RDF (75%)$780,000
− Annual OpEx($100,000)
Net annual benefit$680,000
3-year capital projection
| Line item | Y0 | Y1 | Y2 | Y3 |
|---|---|---|---|---|
| CapEx | ($380,000) | $0 | $0 | $0 |
| OpEx | $0 | ($100,000) | ($100,000) | ($100,000) |
| Risk-adj. savings | $0 | $780,000 | $780,000 | $780,000 |
| Net cash flow | ($380,000) | $680,000 | $680,000 | $680,000 |
| Cumulative | ($380,000) | $300,000 | $980,000 | $1,660,000 |
These numbers are an internal pre-read, not a quote. Bring us the inputs and we'll pressure-test them against your sensors, MES, and last 12 months of downtime tickets.