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: retail bank in-house engineering
Fictional scenario: invented company, all inputs illustrative assumptions. Not a reported outcome. A cautious pilot in a large bank: only a quarter of engineers have a licence, against a very large payroll.
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Report “Fictional example: retail bank in-house engineering”
Incremental AI cost: US$1,026,000.00 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$1,487,160.00 per year · ROI 44.95%
Revenue-linked value
A hypothetical contribution scenario. It is not a sales forecast.
US$439,913.79 per year · ROI -57.12%
Inputs - company
Item | Value | Source |
|---|---|---|
| Revenue, last completed financial year | US$6,000,000,000.00 | Illustrative, not validated |
| Business-as-usual revenue growth | 5.00% | Illustrative, not validated |
| Incremental contribution margin | 45.00% | Illustrative, not validated |
Inputs - workforce
Item | Value | Source |
|---|---|---|
| Engineering FTE (annual average) | 2,000 | Illustrative, not validated |
| Licensed seats (annual average) | 500 | — |
Inputs - AI tool costs
Item | Value | Source |
|---|---|---|
| Engineers with a paid seat | 25.00% | — |
| Seat price per month | US$39.00 | Illustrative, not validated |
| Extra usage per active engineer per month | US$40.00 | Illustrative, not validated |
| Implementation, training and governance (year one) | US$600,000.00 | Illustrative, not validated |
Inputs - productivity and adoption
Item | Value | Source |
|---|---|---|
| Engineering work eligible for AI | 40.00% | Illustrative, not validated |
| Net time saved on eligible work | 18.00% | Illustrative, not validated |
| Active engineers (adoption) | 20.00% | Illustrative, not validated |
| Released time used for extra output (redeployment) | 50.00% | Illustrative, not validated |
Inputs - commercial response
Item | Value | Source |
|---|---|---|
| Engineering commercial response | 5.00% | 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 |
|---|---|---|---|---|---|---|---|---|
| UK | junior | 165 | US$85,000.00 | 1 | — | reporting currency (no conversion) | US$85,000.00 | US$100,980.00 |
| UK | mid | 550 | US$125,000.00 | 1 | — | reporting currency (no conversion) | US$125,000.00 | US$495,000.00 |
| UK | senior | 385 | US$175,000.00 | 1 | — | reporting currency (no conversion) | US$175,000.00 | US$485,100.00 |
| IN | junior | 90 | US$25,000.00 | 1 | — | reporting currency (no conversion) | US$25,000.00 | US$16,200.00 |
| IN | mid | 300 | US$42,000.00 | 1 | — | reporting currency (no conversion) | US$42,000.00 | US$90,720.00 |
| IN | senior | 210 | US$70,000.00 | 1 | — | reporting currency (no conversion) | US$70,000.00 | US$105,840.00 |
| PL | junior | 45 | US$50,000.00 | 1 | — | reporting currency (no conversion) | US$50,000.00 | US$16,200.00 |
| PL | mid | 150 | US$80,000.00 | 1 | — | reporting currency (no conversion) | US$80,000.00 | US$86,400.00 |
| PL | senior | 105 | US$120,000.00 | 1 | — | reporting currency (no conversion) | US$120,000.00 | US$90,720.00 |
Incremental annual AI cost
Item | Value |
|---|---|
| Licences | US$234,000.00 |
| Additional usage | US$192,000.00 |
| Implementation, training and governance | US$600,000.00 |
| Total incremental AI cost | US$1,026,000.00 |
Productivity chain
Item | Value |
|---|---|
| Active engineers (annual average) | 400 |
| Released time per active engineer | 7.2000% |
| Theoretical output uplift per active engineer | 7.7586% |
| Released baseline time, whole workforce | 1.4400% |
| Realised workforce output uplift | 0.7759% |
| 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$1,487,160.00 |
| Net value after AI cost | US$461,160.00 |
| Capacity economic ROI | 44.95% |
| Benefit / cost | 1.45× |
Revenue-linked contribution value (scenario)
Item | Value |
|---|---|
| Forecast BAU revenue (no AI) | US$6,300,000,000.00 |
| Incremental revenue scenarioScenario, not a sales forecast | US$977,586.21 |
| Incremental contribution benefit | US$439,913.79 |
| Net value after AI cost | -US$586,086.21 |
| Commercial scenario ROI | -57.12% |
| Benefit / cost | 0.43× |
| Effective commercial response e × (1 − d) | 2.0000% |
Diagnostics (calculated by the model, not audited)
Item | Value |
|---|---|
| Engineering-addressable contribution per FTE | US$70,875.00 |
| BAU revenue at which the two valuations are equalNeither valuation is a fixed minimum or maximum | US$21,297,600,000.00 |
Sensitivity - net time saved on eligible work ±10 points
Scenario | Shift | Capacity benefit | Capacity ROI | Commercial benefit | Commercial ROI |
|---|---|---|---|---|---|
| Conservative | -10% | US$660,960.00 | -35.58% | US$187,438.02 | -81.73% |
| Base | 0% | US$1,487,160.00 | 44.95% | US$439,913.79 | -57.12% |
| Optimistic | 10% | US$2,313,360.00 | 125.47% | US$715,135.14 | -30.30% |
Reproducibility
Reproduced exactly by the current engine (0.1.3). Input hash 0de97ea3817bb6bd…, output hash d654c925e1158bd9….
- 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.