A diagnostic template that makes every candidate AI use case prove its baseline and evidence before it competes for delivery capacity. It separates measured facts from estimates, keeps cash apart from capacity, and gives each candidate a clear gate outcome.
Asset outline
The asset includes a decision frame with explicit conditions for when not to use it, a structured inputs table and evidence grading scheme, and written-out formulas for baseline, value, cost per task and breakeven. It also has readiness scoring anchors, a regulatory screening step tied to the amended EU AI Act high-risk deadlines, and execution, governance and measurement tables with named roles. A fully worked synthetic portfolio, a failure case, a practice exercise and four editable tools (questionnaire, evidence inventory, calculation worksheet and evidence clinic log) complete it.
- Purpose and decision
- Context and applicability
- Inputs and evidence
- Definitions and assumptions
- Method and analytical logic
- Current-state assessment
- Options and business case
- Recommended design
- Execution and activation
- Governance and risk
- Measurement and benefits
- Worked example and practice
- Working tools and references