Organizations are increasingly investing in AI but often struggle to determine whether these efforts deliver real business value. This seminar presents a practical, systems-level approach to evaluating AI initiatives using an organization's existing data, measurement, and decision-making, focusing on how leaders can assess effectiveness beyond tools and trends. Attendees will examine common structural challenges that limit AI impact, including unclear success criteria, misaligned data, and systems that are difficult to adapt. The session introduces an evaluation framework to help organizations distinguish hype from practical AI applications. Designed for business and technical leaders, this will offer a clear way to think about how AI and existing business data can be evaluated across industries and levels of technical maturity.