A practical framework and toolkit to evaluate AI fit, data readiness, feasibility, and prioritize use cases ready for prototyping.
An interactive, practical checklist to evaluate AI fit, data readiness, technical constraints, risk, and likely ROI—plus a simple scoring method and gating thresholds to prioritize use cases for prototyping.
A practical, guided canvas to evaluate AI opportunities across user value, data readiness, feasibility, safety, and measurable outcomes — with a ready prototyping plan and scoring guidance to prioritize ideas that are realistic, valuable, and responsible.
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.