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: developer-tools SaaS
Fictional scenario: invented company, all inputs illustrative assumptions. Not a reported outcome. Very high adoption and heavy usage: usage charges are a large part of the AI cost.
Duplicate & customise
Copy link
Focus sentinelFocus sentinel
Report “Fictional example: developer-tools SaaS”
Incremental AI cost: US$179,880.00 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$1,168,742.25 per year · ROI 549.73%
Revenue-linked value
A hypothetical contribution scenario. It is not a sales forecast.
US$1,183,318.43 per year · ROI 557.84%
Inputs - company
Item | Value | Source |
|---|---|---|
| Revenue, last completed financial year | US$30,000,000.00 | Illustrative, not validated |
| Business-as-usual revenue growth | 35.00% | Illustrative, not validated |
| Incremental contribution margin | 75.00% | Illustrative, not validated |
Inputs - workforce
Item | Value | Source |
|---|---|---|
| Engineering FTE (annual average) | 60 | Illustrative, not validated |
| Licensed seats (annual average) | 60 | — |
Inputs - AI tool costs
Item | Value | Source |
|---|---|---|
| Engineers with a paid seat | 100.00% | — |
| Seat price per month | US$39.00 | Illustrative, not validated |
| Extra usage per active engineer per month | US$200.00 | Illustrative, not validated |
| Implementation, training and governance (year one) | US$15,000.00 | Illustrative, not validated |
Inputs - productivity and adoption
Item | Value | Source |
|---|---|---|
| Engineering work eligible for AI | 60.00% | Illustrative, not validated |
| Net time saved on eligible work | 25.00% | Illustrative, not validated |
| Active engineers (adoption) | 95.00% | Illustrative, not validated |
| Released time used for extra output (redeployment) | 65.00% | Illustrative, not validated |
Inputs - commercial response
Item | Value | Source |
|---|---|---|
| Engineering commercial response | 55.00% | Illustrative, not validated |
| Commercial diffusion loss | 35.00% | 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 |
|---|---|---|---|---|---|---|---|---|
| US | junior | 9.6 | US$140,000.00 | 1 | — | reporting currency (no conversion) | US$140,000.00 | US$124,488.00 |
| US | mid | 24 | US$210,000.00 | 1 | — | reporting currency (no conversion) | US$210,000.00 | US$466,830.00 |
| US | senior | 14.4 | US$300,000.00 | 1 | — | reporting currency (no conversion) | US$300,000.00 | US$400,140.00 |
| CA | junior | 2.4 | US$100,000.00 | 1 | — | reporting currency (no conversion) | US$100,000.00 | US$22,230.00 |
| CA | mid | 6 | US$150,000.00 | 1 | — | reporting currency (no conversion) | US$150,000.00 | US$83,362.50 |
| CA | senior | 3.6 | US$215,000.00 | 1 | — | reporting currency (no conversion) | US$215,000.00 | US$71,691.75 |
Incremental annual AI cost
Item | Value |
|---|---|
| Licences | US$28,080.00 |
| Additional usage | US$136,800.00 |
| Implementation, training and governance | US$15,000.00 |
| Total incremental AI cost | US$179,880.00 |
Productivity chain
Item | Value |
|---|---|
| Active engineers (annual average) | 57 |
| Released time per active engineer | 15.0000% |
| Theoretical output uplift per active engineer | 17.6471% |
| Released baseline time, whole workforce | 14.2500% |
| Realised workforce output uplift | 10.8971% |
| 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$1,168,742.25 |
| Net value after AI cost | US$988,862.25 |
| Capacity economic ROI | 549.73% |
| Benefit / cost | 6.50× |
Revenue-linked contribution value (scenario)
Item | Value |
|---|---|
| Forecast BAU revenue (no AI) | US$40,500,000.00 |
| Incremental revenue scenarioScenario, not a sales forecast | US$1,577,757.90 |
| Incremental contribution benefit | US$1,183,318.43 |
| Net value after AI cost | US$1,003,438.43 |
| Commercial scenario ROI | 557.84% |
| Benefit / cost | 6.58× |
| Effective commercial response e × (1 − d) | 35.7500% |
Diagnostics (calculated by the model, not audited)
Item | Value |
|---|---|
| Engineering-addressable contribution per FTE | US$278,437.50 |
| BAU revenue at which the two valuations are equalNeither valuation is a fixed minimum or maximum | US$40,001,118.88 |
Sensitivity - net time saved on eligible work ±10 points
Scenario | Shift | Capacity benefit | Capacity ROI | Commercial benefit | Commercial ROI |
|---|---|---|---|---|---|
| Conservative | -10% | US$701,245.35 | 289.84% | US$663,178.46 | 268.68% |
| Base | 0% | US$1,168,742.25 | 549.73% | US$1,183,318.43 | 557.84% |
| Optimistic | 10% | US$1,636,239.15 | 809.63% | US$1,782,467.00 | 890.92% |
Reproducibility
Reproduced exactly by the current engine (0.1.3). Input hash d4292a23bb0eacfd…, output hash 422dd4d0672ddf13….
- 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.