Tool

AI pilot scoring card (impact, data readiness, risk)

An interactive scoring card teams can use in workshops or asynchronously to rate, weight, document, and save AI pilot ideas. Captures scores for business impact, data readiness, integration effort, operational risk, and time-to-value plus sample size, acceptance criteria, and rationale. Designed to prioritize safe, high-value pilots and to store evidence for later review.

Interactive Tool

AI pilot scoring card (impact, data readiness, risk)

Use this scoring card to compare and prioritize AI pilot ideas by capturing standardized scores, relative weights, rationale, sample size and acceptance criteria. Run this during AI opportunity workshops or complete it when assessing individual proposals. Default weights are suggested — adjust to match your organization’s priorities.

How scoring works: Each dimension is scored 1–5 (1 = poor/high risk/low value, 5 = excellent/low risk/high value). To compute a weighted score out of 100, use: Weighted score = sum((score_i / 5) * weight_i), where weight_i are percentages that total 100.

A short, clear name that identifies the pilot idea.
Team or person proposing the pilot.
YYYY-MM-DD (optional).
Relative importance of this dimension. Default 30. Weights should sum to 100 across dimensions.
Estimate of revenue, cost avoidance, or strategic value (1 = negligible, 5 = transformative).
1.0 10.0
Brief supporting evidence (e.g., estimated $ impact, affected SKUs, customer benefit).
Default 25. Consider whether data exists, is labeled, accessible and high-enough quality for the pilot.
1 = poor or unavailable data, 5 = representative, labeled, accessible, and trustworthy.
1.0 10.0
Examples: sample size available, labeling effort, data latency, missing safety signals. Attach or reference representative samples when possible.
Default 15. Measure of technical and process work required to integrate and operate the pilot.
Score for ease (1 = very hard / high complexity, 5 = very easy / low integration work). Clarify dependencies on ERP/MES/PLC, APIs, or middleware.
1.0 10.0
Note required systems, custom work, and estimated development or operations effort.
Default 20. Consider safety, compliance, human-in-the-loop needs, and potential for operator impact.
1 = high risk or unresolved safety concerns, 5 = low risk with clear mitigations and operator acceptance.
1.0 10.0
Describe safety concerns, failure modes, and planned mitigations or review needs.
Default 10. How quickly the pilot is expected to show measurable value.
1 = long or uncertain timeline, 5 = short time to measurable results (weeks to a few months).
1.0 10.0
Expected timeline, key milestones, and earliest measurable KPIs.
Estimate of sample size available to validate the model (e.g., 10,000 records; 100 hours).
Concrete success criteria the pilot must meet to be considered successful (e.g., >85% precision in defect detection, 10% reduction in cycle time).
Compute using: sum((score_i / 5) * weight_i). Example: if business impact score=4 and weight=30, contribution = (4/5)*30 = 24. Sum contributions across dimensions.
Any additional context, dependencies, or open questions. Reference files or links in your project tracker.
Team recommendation based on score and readiness.
You can explore this tool now. Sign in or create an account to save your responses and return to them later.
Sign In to Save Create an Account
Make this tool part of your work

Save a personal copy, bring it to your team, or tailor the questions and workflow to fit what you are hungry to improve.

Member customization and team collaboration are coming soon.
Discuss Ask the Librarian

Discussion

Comments and conversation will live here.