AI is no longer just a buzzword—it's transforming how products are built and delivered. As product managers, we're caught between the excitement of new AI capabilities and the very real challenges of bringing these technologies to market effectively. This handbook bridges that gap, giving you practical tools to turn AI potential into product reality.
This second edition goes beyond theory to deliver actionable strategies you can implement immediately. You'll gain structured frameworks for AI product discovery, helping you identify opportunities that actually solve real problems rather than chasing the latest tech trends. The book walks you through translating complex AI capabilities into user-friendly features that deliver measurable business value.
Learn from case studies of both native AI products and traditional products that successfully incorporated AI capabilities. Understand how to navigate the tricky balance between innovation and practicality, identifying quick wins while avoiding costly mistakes. The author's hands-on experience comes through in every chapter, offering insights you won't find in generic AI guides.
In today's landscape, ethical considerations aren't optional—they're essential. This book provides clear guidance on bias mitigation, compliance requirements, and responsible AI practices that protect both your users and your business. You'll learn how to build AI products that scale while maintaining ethical standards and meeting regulatory requirements.
Whether you're just starting your AI product journey or looking to refine existing strategies, this handbook adapts to your needs. The structured approach helps you define AI product vision, align technical capabilities with business objectives, and collaborate effectively across teams to deliver AI products that truly matter.
