6.3 — $5M/year threshold pairs (no assumptions, just arithmetic)
Pick any single line below to reach 5,000,000/year; combine lines for larger programs.
• Energy. 50,000,000 kWh * $0.10 = $5M, or 25,000,000 kWh * $0.20 = $5M.
• Fuel. 10,000,000 L * $0.50 = $5M, or 5,000,000 L * $1.00 = $5M.
• Vehicles. 10,000 * $500/vehicle = $5M, or 1,000 * $5,000/vehicle = $5M.
• Manufacturing scrap. 1,000,000 units * $5 = $5M, or 250,000 * $20 = $5M.
• SRE/ops time. 20,000 h * $250/h = $5M, or 10,000 h * $500/h = $5M.
• Telecom tickets. 50,000 * $100 = $5M, or 100,000 * $50 = $5M.
6.4 — Adoption scaling (from pilot to portfolio)
• Per-organization. org_savings_$ := sum_of_levers_$ derived from your pilot deltas.
• Program scale. portfolio_$ := org_savings_$ * number_of_orgs * adoption_rate
Rules of thumb once you have a credible org_savings_$:
• 1% adoption across 10,000 similar orgs at $1M each ⇒ $100M/year.
• 5% adoption ⇒ $500M/year.
• 10% adoption ⇒ $1B/year.
6.5 — CFO worksheet (one-page, fill-in)
Inputs.baseline_kWh, price_per_kWh, pct_reduction_energyfuel_saved_L, price_per_Lunits_per_year, scrap_saving_per_unit_$failures_avoided, cost_per_failure_$hours_saved, loaded_rate_$tickets_avoided, cost_per_ticket_$rollout_cost_$
Computation. Add each lever as in §6.2; subtract rollout costs (engineering, training, UI).
Outputs.net_annual_savings_$payback_months := rollout_cost_$ / (net_annual_savings_$/12)
Spreadsheet sketch.= (energy_sav + fuel_sav + scrap_sav + maint_sav + ops_sav + ticket_sav) - rollout_cost_$= rollout_cost_$ / (net_annual_savings_$ / 12)
Tiny Python helper (optional; plain text).
def roi(energy=(0,0,0), fuel=(0,0), scrap=(0,0), maint=(0,0), ops=(0,0), tickets=(0,0), rollout_cost=0.0):
baseline_kWh, pct_red, price_kWh = energy
liters, price_L = fuel
units, scrap_per_unit = scrap
fails, cost_per_fail = maint
hours, rate = ops
n_tix, cost_per_tix = tickets
sav = (baseline_kWhpct_redprice_kWh +
litersprice_L +
unitsscrap_per_unit +
failscost_per_fail +
hoursrate +
n_tix*cost_per_tix)
net = sav – rollout_cost
payback_months = float(“inf”) if net<=0 else rollout_cost/(net/12.0)
return sav, net, payback_months
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