AI Use Case Value / Feasibility Matrix
Map your AI initiative portfolio on a value vs. feasibility matrix. Identify quick wins to execute now, strategic bets to invest in, and use cases to deprioritize — so your AI program delivers measurable impact.
How to Use This Tool
Add each AI use case you are considering. Rate each on Business Value (revenue impact, cost savings, risk reduction) and Feasibility (data availability, technical complexity, organizational readiness). The matrix will plot them into four strategic quadrants.
Your AI Use Cases (3)
How the AI Use Case Value/Feasibility Matrix works
You list AI use cases. Each has a name, a department, a time to value, and 3 ratings from 1 to 10: Business Value, Feasibility and Data Readiness. Time to value runs from under 3 months to over 24 months. 3 sample use cases are preloaded. New cases default to 5 on each rating and 6 to 12 months.
Each use case goes into a quadrant by Business Value and Feasibility, split at 5. Value and feasibility both 5 or higher is a Quick Win. Value 5 or higher with feasibility below 5 is a Strategic Bet. Value below 5 with feasibility 5 or higher is a Fill-in. Both below 5 is Reconsider.
Data Readiness and time to value do not change the quadrant.
Reading your results
The matrix plots feasibility on the horizontal axis and business value on the vertical axis. Dashed lines at 5 mark the quadrants. Bubble size grows with Data Readiness. Hovering shows the ratings, department and time to value.
Quadrant counts and lists show which use cases fall where. The tool describes Quick Wins as prioritize immediately, Strategic Bets as invest in enablement, Fill-ins as do if resources allow, and Reconsider as deprioritize or drop.
The emailed report names a top priority: the use case with the highest sum of Business Value and Feasibility.
Keep reading
Self-assessment for engineering managers across people, delivery, and technical dimensions.
Structure a compelling business case for any IT investment in minutes.