Advanced Model 1.0.0
Build the cost model behind the AI business case.
Add implementation, review, and operating detail only where it improves the decision.
Choose the right depth
Advanced adds detail. Quick remains credible.
Both modes compare current and AI-assisted work against the same accepted-business-outcome standard.
Advanced Estimate
Known totals or guided cost building.
Use direct totals when you have them. Open a builder only when you need help deriving a number.
Private by design. Inputs stay in this browser and are not submitted.
Explore a realistic scenario, then adjust the numbers for your own workflow.
01 · Executive decision summary
What the modeled economics show
At equivalent accepted outcomes volume, under the assumptions entered.
—Unit-cost comparison
Accepted-outcome basis
Current process
- Cost per accepted outcome
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- Cost per 100 accepted outcomes
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- Cost per 1,000 accepted outcomes
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AI-assisted process
- Cost per accepted outcome
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- Cost per 100 accepted outcomes
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- Cost per 1,000 accepted outcomes
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02 Unit economics
03 Cost composition
- Model, platform, and software
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- Allocated implementation
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- Human review
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- Other operating cost
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- Total modeled AI cost
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04 Operating results
Failure cost is a proportional allocation of modeled AI cost—not an incremental-loss claim.
05 Assumptions and completeness
Methodology and limits
Detailed where useful. Comparable throughout.
Advanced accepts known totals or builds them from direct components. Inactive methods never enter the calculation.
Accepted outcomes versus attempts
Current-process accepted outcomes include only completed work that passed the stated acceptance standard; failed, rejected, incomplete, or merely attempted work is excluded. AI-assisted attempts include every accepted, corrected, rejected, failed, and unusable unit. Only the accepted share becomes accepted AI-assisted outcomes.
Cost methods and double-counting protection
Known-total and component-builder methods are mutually exclusive. Current labor builders derive direct process cost. AI builders add technology, allocated implementation, review, and other operations exactly once.
Implementation and review calculations
One-time implementation cost requires an explicit 1–10 year useful life before allocation to the selected period. Review cost can be entered directly or calculated from attempts × review rate × review minutes ÷ 60 × loaded hourly cost.
Equivalent output and thresholds
Equivalent-output cost compares both processes at the current accepted-output volume. The maximum break-even AI cost shows how much total AI cost the entered accepted rate can support.
Limitations
The model does not automatically account for demand shifts, nonlinear scale, vendor tiers, tax, financing, working capital, discount rates, legal exposure, implementation delays, ramp time, unentered change-management cost, revenue effects, opportunity cost, inflation, or model-quality drift. All loaded examples are illustrative. It is not financial advice, an audit, a guaranteed ROI model, or a replacement for finance, legal, or compliance review.
Privacy
Calculations run entirely in this browser. The page uses no calculator analytics, form submission, local storage, cookies, external calculation service, or remote logging.