AI use-case prioritizer
Rank AI building blocks using explicit reach, impact, confidence, and effort assumptions.
What it does
- RICE scoring for AI building blocks
- Tier defaults and editable scoring assumptions
- MoSCoW categories and ranked exports
Inputs
- A CSV list of AI building blocks or opportunities
- Reach, impact, confidence, and effort assumptions
- Priority settings for the evaluation
Outputs
- Ranked results with RICE scores
- Priority categories for discussion
- CSV and JSON evaluation exports
Example use
Compare these AI building blocks using agreed scoring assumptions and export a ranked list for our planning discussion.