AI Governance and Optimization in Projects

This unit focuses on operationalizing AI across project management functions: selecting and configuring AI-enabled tools, ensuring data quality and ethical use, measuring impact, and sustaining team adoption. Students will practice pilot testing, risk mitigation, collaboration strategies, and continuous improvement using real-world platforms and governance approaches.

Learning Objectives

• Analyze AI-enabled project management platforms (e.g., OnePlan, Smartsheet, Trello/Butler, Wrike, Zoho Zia) to recommend appropriate solutions based on feature sets, integration capabilities, and data quality requirements for given project scenarios
• Apply best-practice deployment steps—including pilot testing, change management, knowledge organization, and meeting optimization—to develop a phased AI implementation plan for a project team
• Evaluate ethical, privacy, and risk management considerations and establish measurable metrics and monitoring procedures to assess AI impact, bias, and productivity over time
• Demonstrate execution of AI-driven collaboration strategies by conducting a simulated pilot, documenting results, and producing a data-informed recommendation for scaling or iterating the solution