Portfolio · Risk
AI Use-Case Value / Risk Decision Matrix
Evaluate one AI use case on value, risk, readiness, data, and change — decide do-not-proceed, remediate, pilot, or prioritize.
Free AI use case value risk matrix for GenAI portfolio decisions. Score one use case before funding — go, remediate, pilot, or prioritize.
Built for Transformation · Product · Risk · Architecture
- Answers stored in your browser until you optionally email a copy
- Plain-language result you can paste into a board or CFO brief
- Directional guidance — validate with a scoped pilot before budget lock
How it works
- Work through one question at a time — pick the option that matches how things work today, not your wish list.
- Get an instant maturity level (1–5) plus dimension scores.
- Share results with risk, platform, or transformation leads; unlock Print / Save as PDF with a work email when ready.
What this tool is for
Organizations fund GenAI pilots on enthusiasm instead of a shared value–risk view. Without a scored matrix, high-risk or low-value ideas crowd out portfolio winners and burn engineering capacity.
Who it’s for: Transformation leads, product owners, risk partners, and architects who must recommend go / no-go / pilot for one AI use case in a steering or portfolio review.
What you get
- Overall decision level (1–5) from do-not-proceed to high-priority candidate
- Dimension scores across value, risk, readiness, data feasibility, and change adoption
- A 90-day plan matched to your level — remediation, pilot, or scale controls
AI Assessment Engine analyzes answers with transparent scoring heuristics in your browser — no data leaves the device for scoring.
How scoring works
Each answer scores 1–5. Dimension scores average within that theme. Overall level = rounded average across all questions (Level 1–5).
- 1Lower scores mark gaps for the 90-day plan.
- 2Dimension bars show whether risk concentrates (e.g. security vs strategy).
- 3Planning aid only — not a certification or regulatory attestation.
- 4Score one concrete use case as it exists today — not the roadmap slide or a vendor demo.
- 5Risk questions are inverted: higher score means lower consequence severity or better auditability.
- 6Use the level-matched 90-day plan as a shared backlog for owners before the next funding gate.
AI Assessment Engine analyzes answers with transparent scoring heuristics in your browser — no data leaves the device for scoring.
Vatsal Shah
AI Leader · Solution Architect · TPM
https://shahvatsal.com
Use-Case Matrix — results summary
Prepared via shahvatsal.com/tools/ai-usecase-value-risk-matrix
Directional planning aid from transparent heuristics — not a certification, audit, or delivery commitment. Validate with a scoped pilot. © Vatsal Shah — shahvatsal.com
Key terms
- Value–risk matrix
- A scored view that weighs business impact against failure severity, readiness, data feasibility, and adoption — not a financial ROI model alone.
- GenAI portfolio decision
- Choosing which AI use cases to fund, pilot, defer, or kill so capacity goes to the best value-to-risk ratio.
- HITL
- Human-in-the-loop: a person reviews or can override AI outputs before high-stakes actions take effect.
- Kill condition
- A pre-agreed metric or date that ends a pilot if results do not clear the bar — avoids endless soft launches.
- Feasibility spike
- A short, time-boxed technical test on your own data to confirm AI can meet a quality threshold before full build.
FAQ
What is an AI use case value risk matrix?
It is a scored decision aid for one GenAI use case: value and strategic importance versus risk severity, readiness, data feasibility, and change adoption — so you can choose do-not-proceed, remediate, pilot, or prioritize.
How does this help a GenAI portfolio decision?
Run the matrix on each candidate use case with the same dimensions. Compare levels and weak dimensions side by side so steering committees fund the strongest value-to-risk ratio, not the loudest sponsor.
Should I answer aspirationally or for today?
Answer how the use case stands today — ownership, data, feasibility evidence, and user readiness. Inflated scores hide remediation work and produce a false go signal.
Why are some risk answers scored “higher = better”?
Risk dimensions are inverted: higher scores mean lower consequence severity or stronger auditability and override. That keeps the overall average aligned with “proceed” when risk is manageable.
Does scoring send my answers to a server?
No. The AI Assessment Engine scores in your browser with transparent heuristics. Optional work email only unlocks Print / Save as PDF and follow-up resources.
What does Level 3 (controlled pilot) mean in practice?
Value and risk justify a time-boxed pilot with defined success criteria and a documented kill condition — not a silent production rollout or an open-ended experiment.
Can we use this for a board or steering update?
Yes as a directional GenAI portfolio planning aid with dimension scores and a 90-day plan. It is not a formal risk assessment, legal opinion, or regulatory attestation.