Let’s talk
Back
Templates

AI Use-Case Prioritization Scorecard

Scorecard template10 minNewNeura Dynamics

Score up to three candidate AI use cases on value, feasibility, data readiness, risk and effort, adjust the weights, and see which one is the strongest candidate for a pilot.

What it helps you do

Teams usually have more AI ideas than capacity. This scorecard applies the same criteria to every idea so the discussion moves from enthusiasm to evidence. It is a structured starting point, not a formula that makes the decision for you.

How to use it

Name your use cases, agree the weights with stakeholders, then score each idea from 1 to 5 on every criterion. For risk and effort, 5 means low risk or low effort, so a higher score is always better.

Scorecard

Weights total: 100
CriterionWeight
Business valueTime saved, revenue, quality or risk reduction. 1 = marginal, 5 = significant and measurable.
User impactHow often the affected people do this task and how much it improves their work.
Technical feasibilityCan current AI do this reliably? 1 = unproven, 5 = well-established pattern.
Data readinessDoes the data exist, is it accessible and good enough? 1 = not available, 5 = ready.
Risk (5 = low)Impact of a wrong output, regulatory or reputational exposure.
Effort (5 = low)Integration work, change management and time to a first version.
Use case A3.00
Investigate further
Use case B3.00
Investigate further
Use case C3.00
Investigate further
Scores are weighted averages out of 5. Weights do not need to add up to 100. The bands (4+ strong, 3 to 4 investigate, under 3 park) are a suggested starting point; adjust them to your organisation.
01

Scoring consistently

Agree what a 1 and a 5 mean for each criterion before scoring, and score in pairs or small groups. Write down the reason for each score so the discussion can be revisited later.

02

Adjusting the weights

A regulated business may weight risk more heavily; a team with a hard deadline may weight effort more. Change the weights before scoring so they are not tuned to favour a preferred idea.

03

After scoring

Take the top-ranked idea into a scoped pilot with a baseline, a success measure and a fixed timeline. The AI Project Scoping Template is designed for that next step.

Want to build this?

If you would like help running a prioritisation workshop, our AI Consulting team works with teams at this stage.

AI Consulting Services
Sources & further reading
  1. AI Risk Management FrameworkNIST · Frameworknist.gov
  2. People + AI GuidebookGoogle PAIR · Guidepair.withgoogle.com
  3. AI adoption (Cloud Adoption Framework)Microsoft Learn · Guidelearn.microsoft.com
Back to overviewAI Resource Hub