Create a Hero Use Case
Test the main concepts on one case that matters.
Most AI plans rest on a handful of assumptions: that the data is good enough, that people will use it, that the saving is real. A hero use case puts those assumptions in front of actual work instead of leaving them in a business case.
We pick one visible, commercially meaningful case, build it, put it in front of the people who would live with it, and report honestly on what held and what did not. It becomes the reference point the rest of the programme is judged against.
What you get
The chosen use case
One case selected on value, visibility and feasibility, with the assumptions it is meant to test written down.
Built and used for real
A working build on your own data and process, put in front of the people who would actually rely on it.
Evidence on the main concepts
What the test proved about data quality, adoption, effort and value — stated plainly, including what did not hold.
A scaling position
A clear recommendation on whether to extend, reshape or stop, with the cost and conditions of doing so.
Who it is for
- Leadership teams with an agreed direction that has not yet met reality
- Organisations about to scale something that has only been demonstrated, not used
- Sponsors who need one credible internal example before asking for budget
- Teams whose AI effort has spread thin across too many small pilots
How the work runs
- 01
Pick the hero
A short selection exercise across candidate cases, scored on value, visibility and how testable they really are.
- 02
Build and put it to work
A focused build on live data and process, used by real people for long enough to produce evidence rather than reaction.
- 03
Report and decide
An honest read-out to the leadership team on what the concepts proved, and what scaling would take.
Questions leaders ask
How is this different from fast prototyping?
A prototype tests whether one idea can work at all. A hero use case takes the idea people already believe in and tests it on real work, in front of the people who would depend on it.
Who chooses the use case?
You do, with us. We bring the selection criteria and the honest view of feasibility; the choice stays with the leadership team that has to stand behind it.
What if it does not work?
Then you have learnt it on one case rather than across a programme. That is the cheapest version of that lesson you will ever get.