1. Start Individually

Avoid groupthink by asking participants to work on their own canvases first. This ensures you capture diverse perspectives and unique ideas before the team converges for discussion.

4. The Who

Define who will use this solution or who will benefit from it. Make sure you name the specific customer segment or user and clearly describe their challenge, blocker, or need.

2. The What

Most teams already have a solution in mind, so begin there. Clearly articulate the AI solution—this is the "Future State." Once the idea is captured, step back and describe the "Current State." How is this specific problem solved today without AI? Next: Identify the Gap: Connect the two states by defining the specific need. What is the friction, cost, or inefficiency in the current process that the AI solution will fill?

5. The How

Complete the picture by surfacing constraints. Identify what data is available and what risks might exist. This step highlights technical blockers early, preventing you from over-engineering a solution that cannot be built.

3. The Why

Clarify the business goal. Ensure you align the solution to a real objective set by the organization. If your AI solution does not cascade from a strategic goal, it is crucial to realize early that it may not get the support it needs to move forward.

6. Next Steps

Once individuals have filled in these AI opportunities, the next logical step is to move into a prioritization workshop. This is where you compare the ideas side-by-side and make smart decisions on which ones deliver the most value. We recommend running an AI Problem Framing Workshop to facilitate this selection process.