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: IT consultancy
Fictional scenario: invented company, all inputs illustrative assumptions. Not a reported outcome. Work billed by the hour: saved time does not easily become more revenue, so the commercial response is low.
Report “Fictional example: IT consultancy”
Incremental AI cost: US$303,040.00 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$1,006,863.00 per year · ROI 232.25%
Revenue-linked value
A hypothetical contribution scenario. It is not a sales forecast.
US$20,360.63 per year · ROI -93.28%
Inputs - company
Item | Value | Source |
|---|---|---|
| Revenue, last completed financial year | US$90,000,000.00 | Illustrative, not validated |
| Business-as-usual revenue growth | 10.00% | Illustrative, not validated |
| Incremental contribution margin | 20.00% | Illustrative, not validated |
Inputs - workforce
Item | Value | Source |
|---|---|---|
| Engineering FTE (annual average) | 600 | Illustrative, not validated |
| Licensed seats (annual average) | 480 | — |
Inputs - AI tool costs
Item | Value | Source |
|---|---|---|
| Engineers with a paid seat | 80.00% | — |
| Seat price per month | US$19.00 | Illustrative, not validated |
| Extra usage per active engineer per month | US$20.00 | Illustrative, not validated |
| Implementation, training and governance (year one) | US$100,000.00 | 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 | 22.00% | Illustrative, not validated |
| Active engineers (adoption) | 65.00% | Illustrative, not validated |
| Released time used for extra output (redeployment) | 40.00% | Illustrative, not validated |
Inputs - commercial response
Item | Value | Source |
|---|---|---|
| Engineering commercial response | 8.00% | Illustrative, not validated |
| Commercial diffusion loss | 60.00% | 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 |
|---|---|---|---|---|---|---|---|---|
| IN | junior | 180 | US$25,000.00 | 1 | — | reporting currency (no conversion) | US$25,000.00 | US$128,700.00 |
| IN | mid | 202.5 | US$42,000.00 | 1 | — | reporting currency (no conversion) | US$42,000.00 | US$243,243.00 |
| IN | senior | 67.5 | US$70,000.00 | 1 | — | reporting currency (no conversion) | US$70,000.00 | US$135,135.00 |
| UK | junior | 60 | US$85,000.00 | 1 | — | reporting currency (no conversion) | US$85,000.00 | US$145,860.00 |
| UK | mid | 67.5 | US$125,000.00 | 1 | — | reporting currency (no conversion) | US$125,000.00 | US$241,312.50 |
| UK | senior | 22.5 | US$175,000.00 | 1 | — | reporting currency (no conversion) | US$175,000.00 | US$112,612.50 |
Incremental annual AI cost
Item | Value |
|---|---|
| Licences | US$109,440.00 |
| Additional usage | US$93,600.00 |
| Implementation, training and governance | US$100,000.00 |
| Total incremental AI cost | US$303,040.00 |
Productivity chain
Item | Value |
|---|---|
| Active engineers (annual average) | 390 |
| Released time per active engineer | 11.0000% |
| Theoretical output uplift per active engineer | 12.3596% |
| Released baseline time, whole workforce | 7.1500% |
| Realised workforce output uplift | 3.2135% |
| 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$1,006,863.00 |
| Net value after AI cost | US$703,823.00 |
| Capacity economic ROI | 232.25% |
| Benefit / cost | 3.32× |
Revenue-linked contribution value (scenario)
Item | Value |
|---|---|
| Forecast BAU revenue (no AI) | US$99,000,000.00 |
| Incremental revenue scenarioScenario, not a sales forecast | US$101,803.15 |
| Incremental contribution benefit | US$20,360.63 |
| Net value after AI cost | -US$282,679.37 |
| Commercial scenario ROI | -93.28% |
| Benefit / cost | 0.07× |
| Effective commercial response e × (1 − d) | 3.2000% |
Diagnostics (calculated by the model, not audited)
Item | Value |
|---|---|
| Engineering-addressable contribution per FTE | US$2,640.00 |
| BAU revenue at which the two valuations are equalNeither valuation is a fixed minimum or maximum | US$4,895,695,312.50 |
Sensitivity - net time saved on eligible work ±10 points
Scenario | Shift | Capacity benefit | Capacity ROI | Commercial benefit | Commercial ROI |
|---|---|---|---|---|---|
| Conservative | -10% | US$549,198.00 | 81.23% | US$10,515.06 | -96.53% |
| Base | 0% | US$1,006,863.00 | 232.25% | US$20,360.63 | -93.28% |
| Optimistic | 10% | US$1,464,528.00 | 383.28% | US$31,378.29 | -89.65% |
Reproducibility
Reproduced exactly by the current engine (0.1.3). Input hash d461afbbbdd5d179…, output hash f2703349ac69bb82….
- 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.