A practical framework and toolkit to evaluate AI fit, data readiness, feasibility, and prioritize use cases ready for prototyping.
An interactive, scored template to capture, evaluate, and prioritize AI-driven opportunity candidates across products, services, and operations. Includes structured fields, a practical scoring rubric, a data-readiness checklist, and clear next-step recommendations.
An interactive worksheet to evaluate and prioritize AI use-cases by scoring business value, technical feasibility, data readiness, risk, and operational change. Includes guidance, scoring formula, thresholds, governance flags, and a sample filled example to help teams move from idea to prototype-ready candidates.
An interactive scoping worksheet that captures AI opportunity hypotheses, business value, data readiness, technical approach, safety & ethics checks, prototype plan, and priority scoring — plus a reproducible prioritization formula for quick pipeline decisions.
A practical, step-by-step canvas for evaluating AI opportunities: clarifies user need and hypothesis, quantifies value and expected uplift, assesses data and safety readiness, estimates resources and integration effort, and produces go/no-go recommendations. Includes scoring guidance and a short worked example.