Public Models / Fictional example
Fictional scenario. The company is invented and every input is an illustrative assumption, not a reported figure or outcome.
These are hypothetical scenarios, not verified AI deployments or observed financial returns. Any resemblance to a real company is unintended.
In the inputs below, every input has the mark “Illustrative, not validated”.
Fictional example: e-commerce platform
Fictional scenario: invented company, all inputs illustrative assumptions. Not a reported outcome. A team split between Brazil and the US: lower-cost locations give a smaller capacity value per engineer.
Report “Fictional example: e-commerce platform”
Incremental AI cost: US$196,340.00 per year. These are two different valuations of the same output gain. Do not add them together. Neither value is a guaranteed minimum or maximum.
Capacity-based value
The cost of the engineer time used for more work. It is not a cash saving.
US$1,321,464.38 per year · ROI 573.05%
Revenue-linked value
A hypothetical contribution scenario. It is not a sales forecast.
US$1,106,746.67 per year · ROI 463.69%
Inputs - company
Item | Value | Source |
|---|---|---|
| Revenue, last completed financial year | US$400,000,000.00 | Illustrative, not validated |
| Business-as-usual revenue growth | 12.00% | Illustrative, not validated |
| Incremental contribution margin | 30.00% | Illustrative, not validated |
Inputs - workforce
Item | Value | Source |
|---|---|---|
| Engineering FTE (annual average) | 300 | Illustrative, not validated |
| Licensed seats (annual average) | 255 | — |
Inputs - AI tool costs
Item | Value | Source |
|---|---|---|
| Engineers with a paid seat | 85.00% | — |
| Seat price per month | US$19.00 | Illustrative, not validated |
| Extra usage per active engineer per month | US$35.00 | Illustrative, not validated |
| Implementation, training and governance (year one) | US$50,000.00 | Illustrative, not validated |
Inputs - productivity and adoption
Item | Value | Source |
|---|---|---|
| Engineering work eligible for AI | 50.00% | Illustrative, not validated |
| Net time saved on eligible work | 20.00% | Illustrative, not validated |
| Active engineers (adoption) | 70.00% | Illustrative, not validated |
| Released time used for extra output (redeployment) | 55.00% | Illustrative, not validated |
Inputs - commercial response
Item | Value | Source |
|---|---|---|
| Engineering commercial response | 35.00% | Illustrative, not validated |
| Commercial diffusion loss | 45.00% | Illustrative, not validated |
| Downside commercial transmission | 100.00% | Illustrative, not validated |
Workforce cohorts
Location | Seniority | FTE | Fully loaded cost (original currency) | FX rate | Rate date | FX source | Loaded cost (USD) | Capacity benefit |
|---|---|---|---|---|---|---|---|---|
| BR | junior | 48.75 | US$35,000.00 | 1 | — | reporting currency (no conversion) | US$35,000.00 | US$65,690.63 |
| BR | mid | 97.5 | US$58,000.00 | 1 | — | reporting currency (no conversion) | US$58,000.00 | US$217,717.50 |
| BR | senior | 48.75 | US$90,000.00 | 1 | — | reporting currency (no conversion) | US$90,000.00 | US$168,918.75 |
| US | junior | 26.25 | US$140,000.00 | 1 | — | reporting currency (no conversion) | US$140,000.00 | US$141,487.50 |
| US | mid | 52.5 | US$210,000.00 | 1 | — | reporting currency (no conversion) | US$210,000.00 | US$424,462.50 |
| US | senior | 26.25 | US$300,000.00 | 1 | — | reporting currency (no conversion) | US$300,000.00 | US$303,187.50 |
Incremental annual AI cost
Item | Value |
|---|---|
| Licences | US$58,140.00 |
| Additional usage | US$88,200.00 |
| Implementation, training and governance | US$50,000.00 |
| Total incremental AI cost | US$196,340.00 |
Productivity chain
Item | Value |
|---|---|
| Active engineers (annual average) | 210 |
| Released time per active engineer | 10.0000% |
| Theoretical output uplift per active engineer | 11.1111% |
| Released baseline time, whole workforce | 7.0000% |
| Realised workforce output uplift | 4.2778% |
| Adverse output change (stress channel) | 0.0000% |
Capacity-based value
Item | Value |
|---|---|
| Capacity benefit (cost-equivalent of redeployed time)Not a cash or payroll saving | US$1,321,464.38 |
| Net value after AI cost | US$1,125,124.38 |
| Capacity economic ROI | 573.05% |
| Benefit / cost | 6.73× |
Revenue-linked contribution value (scenario)
Item | Value |
|---|---|
| Forecast BAU revenue (no AI) | US$448,000,000.00 |
| Incremental revenue scenarioScenario, not a sales forecast | US$3,689,155.56 |
| Incremental contribution benefit | US$1,106,746.67 |
| Net value after AI cost | US$910,406.67 |
| Commercial scenario ROI | 463.69% |
| Benefit / cost | 5.64× |
| Effective commercial response e × (1 − d) | 19.2500% |
Diagnostics (calculated by the model, not audited)
Item | Value |
|---|---|
| Engineering-addressable contribution per FTE | US$156,800.00 |
| BAU revenue at which the two valuations are equalNeither valuation is a fixed minimum or maximum | US$534,915,584.42 |
Sensitivity - net time saved on eligible work ±10 points
Scenario | Shift | Capacity benefit | Capacity ROI | Commercial benefit | Commercial ROI |
|---|---|---|---|---|---|
| Conservative | -10% | US$660,732.19 | 236.52% | US$524,248.42 | 167.01% |
| Base | 0% | US$1,321,464.38 | 573.05% | US$1,106,746.67 | 463.69% |
| Optimistic | 10% | US$1,982,196.56 | 909.57% | US$1,757,774.12 | 795.27% |
Reproducibility
Reproduced exactly by the current engine (0.1.3). Input hash 685a7cc6ca055770…, output hash e82838a9bf0df87d….
- Capacity-based and revenue-linked values are two alternative valuations of the same output gain. Never add them.
- Neither valuation is a guaranteed minimum or maximum; which one is higher depends on the inputs.
- Capacity value is the cost-equivalent of redeployed engineer time, not a payroll or cash saving.
- Revenue-linked value is a hypothetical scenario based on stated assumptions, not a causal sales forecast.
- Illustrative estimate - not an observed financial result until supported by evidence.
- Dodone Model v1 is a controlled draft for independent methodological audit; it has not been audited.
- One 12-month period; a new AI tool compared with no tool. Not valid for replacing an existing AI tool.