Description
How can you be sure your next AI project is worthwhile before you build it? Look Before You Leap offers a repeatable go/kill/pivot decision framework you can apply to any AI project, from classical machine learning to generative AI agents. It unifies design, strategy, and finance assessments with engineering feasibility into a fast, evidence-based way to determine which AI ideas deserve resources and which are best avoided!
Look Before You Leap: A manager’s guide to testing AI ideas before committing teaches you how to make evidence-based investment decisions on AI projects. Author Christophe De Greift guides you through examples in real estate, retail, manufacturing, finance, and more. You’ll learn to apply one-page canvases, problem-solving frameworks, readiness and maturity scorecards, stakeholder interview guides, prioritization models, editable AI prompts, and other practical tools, all with explicit criteria built in. The result is de-risked AI projects that serve real user needs, create measurable business value, and can be delivered with the data and tools easily available to your organization.





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