Which AI idea should you build first?
List your candidate AI use cases and score each on four dimensions. Get a weighted ranking and a quick-wins chart that turns a room full of opinions into a sequenced roadmap.
Ranked roadmap
| # | Use case | Value | Feasibility | Data | Risk | Score |
|---|---|---|---|---|---|---|
| 1 | Invoice processing automation | 4 | 4 | 4 | 2 | 4.00 |
| 2 | Customer support copilot | 4 | 3 | 3 | 3 | 3.40 |
| 3 | Demand forecasting model | 5 | 2 | 2 | 3 | 3.35 |
Impact vs effort
Numbers match the ranking above. Dot size grows with risk — a large dot in “Quick wins” still deserves a closer look before you commit.
How it works
Each use case is scored on four dimensions: business value (weighted 40%), feasibility (25%), data availability (20%), and risk (15%, inverted — lower risk scores higher). The weights reflect what we see decide real projects: value gets you sponsorship, but feasibility and data decide whether you ship.
The chart plots business value against effort (derived from feasibility and data). Top-left is your quick-win quadrant — high value, low effort — which is where a first AI project should almost always come from. Dot size grows with risk, so a big dot in the quick-win corner still deserves a second look.
Frequently asked questions
How should a business prioritize AI use cases?
Score every candidate on the same dimensions — business value, feasibility, data availability, and risk — rather than debating them one at a time. Start with a high-value, low-effort “quick win” to build momentum and organizational trust before attempting the ambitious builds.
Why does data availability get its own score?
Because it is the most common hidden blocker. An idea can be valuable and technically feasible, but if the data it needs is scattered, dirty, or locked in a vendor system, the timeline doubles. Scoring it separately surfaces that early.
How many AI use cases should we evaluate?
Aim for 5–8 real candidates. Fewer than three and you are rationalizing a pre-made decision; more than ten and the scoring session loses focus. The tool supports 3–8 for that reason.
Can I use the chart in a presentation?
Yes — screenshot the ranked table and the impact-vs-effort chart. Teams use them directly in leadership decks to show why the roadmap is sequenced the way it is.
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Ready to put AI to work in your business?
Book a free 30-minute AI assessment. We will pinpoint your highest-value opportunities and outline what a first pilot could look like.
- A candid read-out on where your business is AI-ready today
- Your top 3 highest-value AI use cases, ranked by ROI
- A rough cost and timeline envelope for a first pilot