Use-Case Scoring — Prioritize AI Use Cases Objectively
Too many AI ideas, too little capacity: without objective criteria the loudest stakeholder wins, not the most valuable use case. Weighted scoring makes prioritization transparent and defensible.
What you get
- Scoring per use case across five criteria: value, feasibility, data readiness, risk and strategic fit
- A weighted ranking of your entire use-case portfolio
- A transparent decision basis for steering and budget
- The top candidate that flows directly into governance check and roadmap
Free vs. Pro
- Capture & score use cases
- Weighted ranking
- Save portfolio (limited per day)
- Save & version your portfolio
- PDF report & sharing
- Portfolio matrix in the report
Try it now — free
Create a free account and run the tool in minutes. Upgrade to Pro only when you need saving, PDF reports and sharing.
Start for freeFAQ
Which criteria are used for scoring?
Value, feasibility, data readiness, risk and strategic fit. The weighting yields a comparable score per use case.
Can I compare a whole portfolio?
Yes. You capture any number of use cases and get a weighted ranking; the Pro report additionally includes a portfolio matrix.
What happens to the top use case?
It is automatically suggested for the governance check and the roadmap — the tools build on each other.
Related guides
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Why AI Projects Fail
88% of companies use AI, only 5.5% see measurable ROI. The three real causes: missing data foundations, no workflow redesign, missing governance.