AI can drive innovation, efficiency, and competitive advantage in organizations. However, implementing AI projects can be challenging, especially when endpoints are unclear and outcomes are uncertain. To effectively apply AI, focus on tasks that humans find tedious or complex, well-defined information environments, and opportunities to capture critical knowledge. Overcoming common challenges in AI project implementation includes focusing on measurable outputs, iterating and refining AI systems, and distinguishing between bugs and limitations in AI architecture. Maximizing the value of AI in an organization involves enhancing human capabilities, focusing on how AI can make employees more effective and efficient. By implementing these strategies, organizations can maximize the value of their AI investments and drive innovation, efficiency, and competitive advantage.