A practical research project template for identifying, prototyping, and validating AI-driven opportunities in products, services, and operations.
A practical, structured template to discover, document, prototype, prioritize, and hand off AI use cases so teams move from idea to measurable pilot with clear success criteria, data readiness checks, and risk controls.
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, saveable AI Opportunity Canvas to help teams capture candidate AI use cases, assess feasibility and risk, prototype responsibly, and prioritize opportunities using a simple scoring rubric.
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.