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Run the math. See if automation actually pays.

Most ROI calculators only count hours saved. This one nets out development and running costs, so the number you see is the number you keep. Adjust the dials. The math runs live.

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01Your process
1–2,000
runs/mo

How often this process happens. Count each ticket, order, onboarding, or report. Daily processes around 22/mo, weekly around 4/mo.

1–480 min
min

Average end-to-end minutes per run, including the small interruptions and context-switch tax. Be honest: time it once if you can.

€15–€250
/hr

Salary + payroll tax + overhead, not gross salary alone. For a €50K/yr employee in the EU, ~€38–45/hr is typical.

10–100%
%

What share of the work the system replaces end-to-end. 70–85% is realistic for most ops flows.

02Build economics
€0–€80K

What you would pay to have it built once. Flamindo Workflow Builds start at €1,500. Full Builds from €4,000.

€0–€5K
/mo

Tools, AI usage, hosting. Honest ROI accounts for this. Most workflows land between €50–€500/mo.

6–60 mo
months

Over how long should the math add up. 12 months is the standard payback window.

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Two next steps

That number is a starting point. Here is what to do with it.

Pick the diagnostic if you want a sequenced roadmap on paper. Pick the call if you want to pressure-test the math before you spend anything.

Ops Audit€497 · 5 days

Get a sequenced roadmap in five days.

Top 10 Eliminate / Fix / Build opportunities, ROI per opportunity, cost-of-inaction breakdown. The fee credits 100% toward any Build.

Discovery Call45 min · Free

Talk through your number.

No pitch deck. We pressure-test your inputs and show where the math gets bigger or smaller in your specific situation.

How the math works

The formula models the process, not the headcount. It nets out the obvious thing every other calculator hides: build cost, running cost, and the recovery time errors actually steal from you. The number you see is the number you keep.

effective_minutes  = minutes_per_run + (error_rate × recovery_minutes)
monthly_hours      = (runs_per_month × effective_minutes) ÷ 60
reclaimed/year     = monthly_hours × 12 × coverage

# Total runs over horizon, factoring monthly growth (geometric)
horizon_runs       = runs_per_month × Σ (1 + growth_rate)^t  for t = 0..h-1
horizon_hours      = (horizon_runs × effective_minutes ÷ 60) × coverage

gross_savings      = horizon_hours × hourly_cost
total_costs        = development_cost + (running_cost × h)
net_savings        = gross_savings − total_costs

roi_multiplier     = gross_savings ÷ total_costs
payback_months     = development_cost ÷ (monthly_gross − running_cost)

Loaded hourly cost is salary plus payroll tax plus overhead, not gross salary alone. EU payroll tax sits between 28% and 45% of gross, which puts a €50K/yr employee at roughly €38–45/hr loaded. Coverage is the share of the work the system handles end-to-end; 70–85% is realistic for most ops flows. Errors compound: a 5% error rate at 15 minutes recovery adds the equivalent of 45 seconds to every run.