About This Resource
A weighted prioritisation matrix that scores AI use cases across business value, data readiness, technical feasibility, and regulatory risk. Produces a ranked list and a 2×2 impact-vs-complexity plot.
When to Use
When building an AI roadmap or presenting use case priorities to leadership.
Audience
CIO, CDO, AI Lead, Strategy Lead
What You Bring
- Use case names
- Impact scores
- Complexity scores
- Risk scores
What You Get
- Ranked use case list
- Priority quadrant summary
- Downloadable Word/PDF
Apply the Framework
Score each AI use case against the criteria below (1 = Low, 5 = High). The matrix applies weighted scoring across business value, data readiness, technical feasibility, and regulatory risk to produce a ranked use case list. Higher scores indicate stronger candidates for near-term investment.
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| Criterion (Weight) | Use Case 1 | Use Case 2 | Use Case 3 | Use Case 4 | Use Case 5 | Use Case 6 |
|---|---|---|---|---|---|---|
Business Value Weight: 5/30 · Expected revenue uplift, cost reduction, risk mitigation, or customer value | Minimal valueTransformative value | Minimal valueTransformative value | Minimal valueTransformative value | Minimal valueTransformative value | Minimal valueTransformative value | Minimal valueTransformative value |
Data Readiness Weight: 5/30 · Availability, quality, and accessibility of the data required to build and run the model | Data unavailable / poorData fully available and clean | Data unavailable / poorData fully available and clean | Data unavailable / poorData fully available and clean | Data unavailable / poorData fully available and clean | Data unavailable / poorData fully available and clean | Data unavailable / poorData fully available and clean |
Technical Feasibility Weight: 4/30 · Ease of implementation given current technology stack and ML engineering capability | Very complex / novelStraightforward to implement | Very complex / novelStraightforward to implement | Very complex / novelStraightforward to implement | Very complex / novelStraightforward to implement | Very complex / novelStraightforward to implement | Very complex / novelStraightforward to implement |
Regulatory Risk (Inverse) Weight: 4/30 · Score 5 if regulatory risk is LOW — no approval required, no explainability concerns | High regulatory riskLow regulatory risk | High regulatory riskLow regulatory risk | High regulatory riskLow regulatory risk | High regulatory riskLow regulatory risk | High regulatory riskLow regulatory risk | High regulatory riskLow regulatory risk |
Time to Value Weight: 4/30 · Speed at which the use case can be deployed and generate measurable benefit | > 24 months< 3 months | > 24 months< 3 months | > 24 months< 3 months | > 24 months< 3 months | > 24 months< 3 months | > 24 months< 3 months |
Strategic Alignment Weight: 3/30 · Degree to which this use case supports the institution's stated AI and digital strategy | MisalignedFully aligned | MisalignedFully aligned | MisalignedFully aligned | MisalignedFully aligned | MisalignedFully aligned | MisalignedFully aligned |
Internal Capability Weight: 3/30 · Availability of in-house talent and expertise to build and maintain the solution | Significant capability gapFully capable in-house | Significant capability gapFully capable in-house | Significant capability gapFully capable in-house | Significant capability gapFully capable in-house | Significant capability gapFully capable in-house | Significant capability gapFully capable in-house |
Scalability Weight: 2/30 · Ability to scale the solution across products, geographies, or customer segments | Narrow / one-off useHighly scalable | Narrow / one-off useHighly scalable | Narrow / one-off useHighly scalable | Narrow / one-off useHighly scalable | Narrow / one-off useHighly scalable | Narrow / one-off useHighly scalable |