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Turn a useful idea into a working solution
Explore practical AI with a clear problem, a focused test, and evidence to guide what comes next.
A smaller start. A clearer decision.
A useful pilot gives your team a specific question to answer. Choose one recurring workflow, define what better looks like, and keep the first test focused enough to learn from.
From idea to evidence
Build a pilot you can evaluate
Choose one problem
Start with a task people already understand. Identify where time, effort, or uncertainty gets in the way.
Define useful evidence
Agree on what to observe before the test begins. Include quality, effort, and the judgment of the people doing the work.
Decide what comes next
Use what you learn to refine the approach, expand the test, or stop. Let the evidence guide the next decision.
From the blog
Choose a first AI pilot you can evaluate
A practical starting point for turning a broad AI idea into a focused experiment. Explore how to choose a manageable use case and decide what evidence would make the pilot worthwhile.
The guide includes an illustrative project-update workflow and a one-page brief to help frame your next conversation.

Questions before the first step
How big should a first pilot be?
Small enough to test one clear question with a defined workflow and a manageable group of users.
What should we measure?
Start with the outcome you want to improve. Consider the quality of the result, the effort required, and where people still need to review or intervene.
What happens after the pilot?
Compare the findings with the criteria you agreed on. Then decide whether to refine the idea, try a broader test, or pursue a different approach.

Find a useful place to start
Turn an interesting AI idea into a question your team can test.
