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.

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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