Tools
Work out the numbers yourself.
Two calculators, free and without a form in front of them. Bring the result to a call and we can argue about the assumptions instead of starting from nothing.
ROI calculator
Rough out what an initiative returns before committing to it. The output is only as good as the inputs — treat it as a way to find out which assumptions matter, not as a forecast.
Salary plus employer costs, divided by hours worked.
Be pessimistic. Most initiatives land well below the demo.
Adoption lag. Setting this to zero is the most common way these models lie.
Inference, licences, the person who keeps it alive.
To break even over three years
19%
AI has to absorb 19% of this work to pay for itself. Below roughly 60% that is a bet worth examining.
- Hours freed per year
- 662
- Gross annual value
- $36,432
- Net of running cost
- $25,632
- Payback
- 18 months
- Net over three years
- $38,860
These are your assumptions, not a forecast. The number that usually breaks a business case is the adoption lag, not the automation rate — try moving it and see.
Send me these numbers and I will tell you what I think →AI readiness assessment
Eight questions, two minutes. It scores the five things that actually decide whether an AI project survives contact with your organisation — and tells you which one would fail first.
- Data
- Whether there is anything trustworthy to build on
- Infrastructure
- Whether it can carry an AI workload at all
- Team
- Who owns the system after launch
- Strategy
- Whether the use cases are chosen, or just the technology
- Budget
- Whether the money matches the ambition
No email gate. The result stays in your browser — bring it to a call if you want it argued with.
What data do you have to work with?
Got a number you do not believe?
That is usually the interesting part. Bring it to a call and we will find out which assumption is doing the damage.