AI for Organizational Leaders: Turning Hype into Business Value
49mIntermediate2025-07-01
Authors
Paul Leonardi
Course details
Leaders are eager to leverage AI to transform their organizations and boost productivity, yet many struggle to see meaningful ROI amidst the hype. In this course, join instructor Paul Leonardi as he equips organizational leaders with actionable strategies and skills to cut through the noise and create real business value from AI initiatives. By the end of this course, you’ll be prepared to realize and measure the true business value of AI beyond the promise of productivity gains.
Learning objectives
Evaluate AI investments to determine which initiatives are worth pursuing and which should be deprioritized.
Apply criteria to identify and prioritize AI use cases that will deliver business impact.
Analyze the immediate impacts of AI to better prepare for second-order effects.
Apply a framework for redefining roles, processes, and performance metrics to maximize the value of AI-driven transformation.
Learning objectives
Evaluate AI investments to determine which initiatives are worth pursuing and which should be deprioritized.
Apply criteria to identify and prioritize AI use cases that will deliver business impact.
Analyze the immediate impacts of AI to better prepare for second-order effects.
Apply a framework for redefining roles, processes, and performance metrics to maximize the value of AI-driven transformation.
Skills covered
AI for Business FoundationsOrganizational LeadershipBusiness StrategyArtificial Intelligence for BusinessBusiness Analysis and StrategyLeadership and ManagementOne-Off
Concepts
0. Introduction
- 01 - Beyond the hype
- 02 - Reframe your mindset
1. Fixing AI Investments
- 03 - Evaluate and prioritize AI investments
- 04 - Manage AI implementation
- 05 - Build your organization's trust in AI initiatives
2. Leveraging AI for Immediate Business Impact
- 06 - Identify AI use cases for immediate impact
- 07 - Identify AI s immediate productivity gains
- 08 - Assign AI tasks for maximum efficiency
- 09 - Design experiments to optimize AI applications
3. Setting the Stage for Long-Term AI Value
- 10 - Prepare for AI s broader organizational impacts
- 11 - Empower employees to identify AI opportunities
4. Redefining Work to Support AI Transformation
- 12 - Redefine roles to maximize AI integration
- 13 - Rethink performance to reflect AI-driven roles
- 14 - Build a learning culture to drive AI transformation
Conclusion
- 15 - Apply the STEP framework for lasting AI ROI
- 16 - Next steps