SAAF Use Case Scoring Card

Time to Complete: 20–30 minutes per use case

Purpose: Evaluate AI opportunities based on business value, technical feasibility, and ethical risk—so you can prioritize high-impact, responsible use cases.

Why This Matters

AI can be applied in many areas—but not all use cases are created equal. This scoring model helps you identify where AI will deliver the greatest value with the least risk, so you can confidently select pilot projects and build alignment across business and technical teams.

How It Works

1. Identify a candidate AI use case.

2. Score it across the 3 categories:

   • Value (to the business)

   • Feasibility (technical and data readiness)

   • Risk (ethical, regulatory, reputational)

3. Add up the scores

4. Use results to guide roadmap discussions or pilot selection.

Step 1: Score Each Category (1–5 scale)

Category	Description	Scoring Guide	Score (1–5)
Business Value	How much strategic benefit would this use case deliver?	1 = Minimal impact or one-time benefit  5 = High ROI, aligned with core priorities
Feasibility	How technically feasible is it, given your data and tools?	1 = Major data gaps or system blockers 5 = Plug-and-play, easy to deploy
Risk Level (inverse score)	How risky is it in terms of ethics, privacy, or accuracy?	1 = High risk (e.g., bias, legal, personal data) 5 = Low risk, clearly reviewable

Total Score: ___ / 15

Step 2: Evaluation Summary

| Use Case Name: ____________________________________ |

• Key Benefits:

• Key Risks / Concerns:

• Suggested Actions: □ Move forward as pilot □ Needs redesign / guardrails □ Deprioritize or reject

Completion Checklist

•  You’ve scored the use case across value, feasibility, and risk

•  You’ve visualized its fit in your AI roadmap

•  You’ve made an initial recommendation for next steps

Optional Discussion Prompts for Teams

• What’s the business case if this works well?

• What data is needed—and do we have access?

• Who could be impacted negatively?

• What can we automate vs. augment?