A workshop to find the AI ideas worth building, before you build them
Together, we compare your AI ideas side by side, find what each assumes about the people who'd use it, and design tests that check real use.
The outcome is a short list of AI ideas with evidence behind them, and a clear reason to drop the rest.
Check the list of ideas
Which AI ideas are on the table, and what problem does each one solve?
REQUIREMENTS
The ideas on the list
The problem each one solves
Who would use each one
What each would cost to build
Confirm use cases for each idea
Would people actually change how they work to use this?
REQUIREMENTS
How the task is done today
What would make people switch
What would stop them
Trust, data and risk concerns
Prove the use case
How do we see if people will use it without building it first?
REQUIREMENTS
Tests that mimic the solution
An adoption bar to clear
Results in weeks
A clear reason to drop the rest
The Top 3 AI ideas worth testing, and the ones to drop
What each idea assumes about the people who would use it
Tests that check real use before you commit to a build
How much use counts as success, set before anyone sees the numbers
Progress you can show leadership within weeks, with a named owner
