Executive summary

A readiness and capability diagnostic for AI investment appraisal. It tests whether a proposed AI investment can realistically deliver its claimed economics, and turns each capability gap into an explicit, priced adjustment to the business case before approval.

What is inside

What this diagnostic covers

An anchored multi-dimension scoring rubric with weights and gate rules, standard formulas for workload-based AI economics, and a gap register that links each gap to a business-case adjustment. It also includes a scoring calibration procedure for assessors, tables for execution, governance and benefits measurement, a fully worked synthetic example with a failure case and alternate scenario, and editable tools with a review record.

  • 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