This chapter introduces AI-supported tools for framing design problems, aligning stakeholders, and defining success criteria, showing how AI can strengthen early-stage sensemaking and preparation before ideation begins. It demonstrates how AI agents and structured canvases help teams build clearer, more testable problem definitions.

This chapter focuses on using AI to augment empathy work, including interviews, user profiling, journey mapping, and storytelling, to deepen understanding of user needs and contexts. AI is positioned as a partner that accelerates synthesis while preserving human judgment and ethical sensitivity.

This chapter presents AI-enhanced ideation and selection methods, such as AI-supported brainstorming, analogical thinking, and decision matrices, to expand creative divergence and improve convergence. It emphasizes AI’s role in increasing idea diversity while supporting structured evaluation and choice.

This chapter explores how AI accelerates prototyping, testing, and evaluation through rapid concept generation, experience testing, and feedback synthesis. The chapter highlights AI’s ability to shorten iteration cycles while keeping humans responsible for interpretation and design decisions.

This chapter addresses implementation and organizational learning, showing how AI supports execution, reflection, and scaling through tools like lean canvases, roadmaps, and feedback rituals. It frames implementation as an ongoing learning process where AI enhances speed and coherence without replacing human judgment.