Free AI strategy tool

AI Use-Case Prioritization Matrix

Compare up to ten AI opportunities with one transparent framework, then identify which initiative deserves a pilot and which ones need more preparation.

No sign-up. No uploads. Your inputs stay in this browser.
Professional-use notice: For users 18+. Results are estimates and planning aids, not legal, medical, financial, employment, safety, or other professional advice. Verify assumptions and use human review. See our AI Transparency Notice.

Candidate use cases

Use 1 for low and 5 for high. For risk, 5 means the greatest exposure.

Use case 1
Use case 2

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How the methodology works
  1. 1Score business impact, feasibility, data readiness, time to value, and risk from 1 to 5.
  2. 2Weight business impact at 30%; feasibility and data readiness at 20% each; time to value and inverted risk at 15% each.
  3. 3Plot each use case on an impact-versus-feasibility map to expose easy wins, big bets, and weak candidates.
  4. 4Treat the ranking as a structured conversation, then validate dependencies and risk before funding a pilot.
How to score honestly

A high-impact knowledge assistant should not outrank a smaller intake automation merely because it sounds more strategic. If its source content is fragmented, permissions are unclear, or adoption will take a year, those feasibility, data-readiness, and time-to-value scores should pull it below the more executable workflow.

Frequently asked questions

Turn the top-ranked opportunity into a pilot charter

Capture the outcome, scope, owners, systems, data, safeguards, metric, and first 90 days in a shareable one-page brief.

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