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: mobile games studio
Fictional scenario: invented company, all inputs illustrative assumptions. Not a reported outcome. High-margin game releases: extra engineering output can turn into content and revenue, with a mostly Polish team.
Report “Fictional example: mobile games studio”
Incremental AI cost: US$36,514.00 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$176,029.20 per year · ROI 382.09%
Revenue-linked value
A hypothetical contribution scenario. It is not a sales forecast.
US$288,253.19 per year · ROI 689.43%
Inputs - company
Item | Value | Source |
|---|---|---|
| Revenue, last completed financial year | US$22,000,000.00 | Illustrative, not validated |
| Business-as-usual revenue growth | 15.00% | Illustrative, not validated |
| Incremental contribution margin | 80.00% | Illustrative, not validated |
Inputs - workforce
Item | Value | Source |
|---|---|---|
| Engineering FTE (annual average) | 45 | Illustrative, not validated |
| Licensed seats (annual average) | 40.5 | — |
Inputs - AI tool costs
Item | Value | Source |
|---|---|---|
| Engineers with a paid seat | 90.00% | — |
| Seat price per month | US$19.00 | Illustrative, not validated |
| Extra usage per active engineer per month | US$40.00 | Illustrative, not validated |
| Implementation, training and governance (year one) | US$10,000.00 | Illustrative, not validated |
Inputs - productivity and adoption
Item | Value | Source |
|---|---|---|
| Engineering work eligible for AI | 45.00% | Illustrative, not validated |
| Net time saved on eligible work | 20.00% | Illustrative, not validated |
| Active engineers (adoption) | 80.00% | Illustrative, not validated |
| Released time used for extra output (redeployment) | 60.00% | Illustrative, not validated |
Inputs - commercial response
Item | Value | Source |
|---|---|---|
| Engineering commercial response | 50.00% | Illustrative, not validated |
| Commercial diffusion loss | 40.00% | 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 |
|---|---|---|---|---|---|---|---|---|
| PL | junior | 11.03 | US$50,000.00 | 1 | — | reporting currency (no conversion) | US$50,000.00 | US$23,814.00 |
| PL | mid | 14.18 | US$80,000.00 | 1 | — | reporting currency (no conversion) | US$80,000.00 | US$48,988.80 |
| PL | senior | 6.3 | US$120,000.00 | 1 | — | reporting currency (no conversion) | US$120,000.00 | US$32,659.20 |
| UK | junior | 4.73 | US$85,000.00 | 1 | — | reporting currency (no conversion) | US$85,000.00 | US$17,350.20 |
| UK | mid | 6.08 | US$125,000.00 | 1 | — | reporting currency (no conversion) | US$125,000.00 | US$32,805.00 |
| UK | senior | 2.7 | US$175,000.00 | 1 | — | reporting currency (no conversion) | US$175,000.00 | US$20,412.00 |
Incremental annual AI cost
Item | Value |
|---|---|
| Licences | US$9,234.00 |
| Additional usage | US$17,280.00 |
| Implementation, training and governance | US$10,000.00 |
| Total incremental AI cost | US$36,514.00 |
Productivity chain
Item | Value |
|---|---|
| Active engineers (annual average) | 36 |
| Released time per active engineer | 9.0000% |
| Theoretical output uplift per active engineer | 9.8901% |
| Released baseline time, whole workforce | 7.2000% |
| Realised workforce output uplift | 4.7473% |
| 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$176,029.20 |
| Net value after AI cost | US$139,515.20 |
| Capacity economic ROI | 382.09% |
| Benefit / cost | 4.82× |
Revenue-linked contribution value (scenario)
Item | Value |
|---|---|
| Forecast BAU revenue (no AI) | US$25,300,000.00 |
| Incremental revenue scenarioScenario, not a sales forecast | US$360,316.48 |
| Incremental contribution benefit | US$288,253.19 |
| Net value after AI cost | US$251,739.19 |
| Commercial scenario ROI | 689.43% |
| Benefit / cost | 7.89× |
| Effective commercial response e × (1 − d) | 30.0000% |
Diagnostics (calculated by the model, not audited)
Item | Value |
|---|---|
| Engineering-addressable contribution per FTE | US$224,888.89 |
| BAU revenue at which the two valuations are equalNeither valuation is a fixed minimum or maximum | US$15,450,093.75 |
Sensitivity - net time saved on eligible work ±10 points
Scenario | Shift | Capacity benefit | Capacity ROI | Commercial benefit | Commercial ROI |
|---|---|---|---|---|---|
| Conservative | -10% | US$88,014.60 | 141.04% | US$137,335.29 | 276.12% |
| Base | 0% | US$176,029.20 | 382.09% | US$288,253.19 | 689.43% |
| Optimistic | 10% | US$264,043.80 | 623.13% | US$454,873.53 | 1,145.75% |
Reproducibility
Reproduced exactly by the current engine (0.1.3). Input hash e7e2f773d1fc3ec5…, output hash d6754b55c93af124….
- 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.