Tool · XLSX · version 1.0
Ranking an AI portfolio by what it costs to find out
A ranking model that puts a modest prize you can settle in six weeks above a large one that takes nine months and two million to test.
Free to download and share, with no sign-up and no email address.
Who it is for
Anyone holding a portfolio of AI pilots that nobody can rank, sponsored by people who cannot compare them.
What is in it
- A scoring model: value at stake, discounted by confidence and data readiness, divided by what it costs to find out
- Blocking rules: no decision owner, no falsifier, or no data, and the row scores zero
- A kill gate with six triggers, to be run monthly
- A worked example of eight candidates in which the largest prize ranks last of those that score at all, and two more are blocked outright
What it will not do
The worked example is illustrative, with invented figures that show how the ranking behaves. It is a method to apply to your own candidates, not a benchmark of what AI projects return.
Sources
Method. The figures in the worked example are invented to show the ranking behaviour and are not a benchmark.
Run it in the browser
The same method is in the framework library as a workbench that asks its questions, works out the result and exports it, with a worked example: AI opportunity portfolio.
If you use this and find an error, tell us at hello@blueprysm.com and we will correct it and say what changed. Last updated 29 September 2026.
Start with a diagnosis
Tell us what you are trying to decide. We reply in writing within two working days, with how we would approach it, what it would take and what it would cost.