Evaluating AI Tools and Implementation

This unit guides learners through evaluating AI tools and vendors, identifying common pitfalls and ethical concerns, and designing an AI-driven solution for nonprofit needs. Learners will synthesize case studies and expert input to create an implementation road map with measurable impact indicators, building on prior foundational work and preparing for a final implementation project.

Learning Objectives

• Analyze the features, costs, and suitability of at least three AI tools or vendor services presented (e.g., Quiller, Scribe, TechSoup) for a selected nonprofit use case, producing a comparative summary
• Evaluate ethical, legal, and operational risks associated with proposed AI solutions and recommend at least four concrete mitigation strategies aligned to nonprofit constraints
• Apply selected tools to design a prototype AI-driven solution workflow (including data inputs, outputs, and roles) and produce a brief demonstration or mockup
• Develop a 6–12 month implementation road map that includes stakeholder responsibilities, resource needs, timeline milestones, and at least three measurable indicators for results and impact