Despite significant investment in artificial intelligence, many enterprise AI initiatives fail to deliver meaningful business value. This course equips participants with the strategies to move AI from experimentation to scalable results.

Grounded in APQC’s research and real-world best practices, the course examines the most common reasons efforts stall, including misaligned strategy, weak data and process foundations, and organizational resistance, and provides practical ways to address these challenges. Participants will learn how to align AI with business goals, identify high-value use cases, strengthen data and process readiness, and lead the change required for successful adoption.

Through guided discussions and hands-on activities, participants will assess readiness, prioritize initiatives, and develop actionable plans to support sustainable adoption across the organization.

By the end of the course, participants will be prepared to lead AI initiatives that deliver impact, reduce risk, and support long-term innovation.