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AI Use Case Prioritisation

Not every AI idea is worth testing first.

Score an AI idea across value, data, risk, complexity and adoption so you can decide whether it is a quick win, worth exploring or too early.

12scoring questions
6decision areas
5minute completion
1clear next step
What the tool checks

Choose the first AI use case with discipline, not excitement.

The tool helps leadership teams test whether an AI idea has enough business value, data readiness and delivery realism to justify a workshop or pilot.

01

Business value

Will the idea solve a meaningful business problem or remove expensive friction?

02

Data readiness

Is the data available, reliable and appropriate for the use case?

03

Risk level

Could the output create client, legal, data, operational or reputational risk?

04

Integration complexity

Can the idea work with current systems and processes without becoming a major rebuild?

05

Adoption

Will the people affected by the use case actually use it and trust it?

06

Measurement

Can success be measured clearly enough to know whether the pilot worked?