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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: legacy insurance platform

Financial ServicesMultiple regions201-1000 engineersFictional example · Illustrative scenarioScenario - not audited

By Dodone fictional example · published 4 Nov 2026 · DODONE-MOD-001 revision 1 · engine 0.1.3

Fictional scenario: invented company, all inputs illustrative assumptions. Not a reported outcome. Shows a negative case: on old code the tool creates rework, so the net time saving is below zero and both values are negative.

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Incremental AI cost: US$486,160.00 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$835,430.40 per year · ROI -271.84%

Revenue-linked value

A hypothetical contribution scenario. It is not a sales forecast.

-US$323,428.80 per year · ROI -166.53%

Inputs - company

Item
Value
Source
Revenue, last completed financial yearUS$1,200,000,000.00Illustrative, not validated
Business-as-usual revenue growth4.00%Illustrative, not validated
Incremental contribution margin35.00%Illustrative, not validated

Inputs - workforce

Item
Value
Source
Engineering FTE (annual average)400Illustrative, not validated
Licensed seats (annual average)320—

Inputs - AI tool costs

Item
Value
Source
Engineers with a paid seat80.00%—
Seat price per monthUS$39.00Illustrative, not validated
Extra usage per active engineer per monthUS$30.00Illustrative, not validated
Implementation, training and governance (year one)US$250,000.00Illustrative, not validated

Inputs - productivity and adoption

Item
Value
Source
Engineering work eligible for AI35.00%Illustrative, not validated
Net time saved on eligible work-6.00%Illustrative, not validated
Active engineers (adoption)60.00%Illustrative, not validated
Released time used for extra output (redeployment)50.00%Illustrative, not validated

Inputs - commercial response

Item
Value
Source
Engineering commercial response10.00%Illustrative, not validated
Commercial diffusion loss50.00%Illustrative, not validated
Downside commercial transmission60.00%Illustrative, not validated

Workforce cohorts

Location
Seniority
FTE
Fully loaded cost (original currency)
FX rate
Rate date
FX source
Loaded cost (USD)
Capacity benefit
USjunior36US$140,000.001—reporting currency (no conversion)US$140,000.00-US$63,504.00
USmid120US$210,000.001—reporting currency (no conversion)US$210,000.00-US$317,520.00
USsenior84US$300,000.001—reporting currency (no conversion)US$300,000.00-US$317,520.00
MXjunior24US$38,000.001—reporting currency (no conversion)US$38,000.00-US$11,491.20
MXmid80US$60,000.001—reporting currency (no conversion)US$60,000.00-US$60,480.00
MXsenior56US$92,000.001—reporting currency (no conversion)US$92,000.00-US$64,915.20

Incremental annual AI cost

Item
Value
LicencesUS$149,760.00
Additional usageUS$86,400.00
Implementation, training and governanceUS$250,000.00
Total incremental AI costUS$486,160.00

Productivity chain

Item
Value
Active engineers (annual average)240
Released time per active engineer-2.1000%
Theoretical output uplift per active engineer-2.0568%
Released baseline time, whole workforce-1.2600%
Realised workforce output uplift0.0000%
Adverse output change (stress channel)-1.2341%

Capacity-based value

Item
Value
Capacity benefit (cost-equivalent of redeployed time)Not a cash or payroll saving-US$835,430.40
Net value after AI cost-US$1,321,590.40
Capacity economic ROI-271.84%
Benefit / cost-1.72×

Revenue-linked contribution value (scenario)

Item
Value
Forecast BAU revenue (no AI)US$1,248,000,000.00
Incremental revenue scenarioScenario, not a sales forecast-US$924,082.27
Incremental contribution benefit-US$323,428.80
Net value after AI cost-US$809,588.80
Commercial scenario ROI-166.53%
Benefit / cost-0.67×
Effective commercial response e × (1 − d)5.0000%

Diagnostics (calculated by the model, not audited)

Item
Value
Engineering-addressable contribution per FTEUS$109,200.00
BAU revenue at which the two valuations are equalNeither valuation is a fixed minimum or maximumNot applicable to these inputs

Sensitivity - net time saved on eligible work ±10 points

Scenario
Shift
Capacity benefit
Capacity ROI
Commercial benefit
Commercial ROI
Conservative-10%-US$2,227,814.40-558.25%-US$833,890.91-271.53%
Base0%-US$835,430.40-271.84%-US$323,428.80-166.53%
Optimistic10%US$278,476.80-42.72%US$93,030.43-80.86%

Reproducibility

Reproduced exactly by the current engine (0.1.3). Input hash 3ddddcb47569fc63…, output hash c48c84738b2ef569….

  • 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.