Decision tool · Capacity model
What could your team do with time back?
Test one repeatable workflow. Set your own assumptions. See the capacity that might become available and the cost of creating it.
Illustrative scenario, not a forecast. No company data is collected.
Your assumptions
Use one type of recurring work, such as campaign production, account research, or reporting.
Illustrative monthly view
Capacity, then value
Current workload
138.7 hours
Time potentially released
41.6 hours
Time assumed put to use
20.8 hours
Value of that capacity
$2,080
Capacity value less incremental monthly cost
$1,080
This is a planning comparison. Released time is not cash saved. A negative number means the assumed capacity value is below the entered cost.
Show the calculation
Monthly hours = weekly items × hours per item × 52 ÷ 12. Released hours = monthly hours × assumed time reduction. Productive hours = released hours × assumed reinvestment. Capacity value = productive hours × loaded hourly cost. The final comparison subtracts the monthly platform and operating cost.
Validate the baseline, what work can be removed, quality and oversight needs, adoption, and actual spend before using this to fund a decision. This model does not predict pipeline, CAC, revenue, headcount reduction, or payback.
What would make this real?
Bring one workflow and its baseline. A working session can pressure-test the assumption. An AI & GTM Audit can trace the evidence across teams and systems.
The Executive Working Session is $750 for 45 minutes. Audit GTM scope typically takes four weeks and starts at $15,000; company-wide AI scope is quoted to fit.