Operationalizing AI in Organizations

This unit focuses on translating AI concepts into scalable, governed, and culture-ready initiatives within organizations. Students will learn to plan, organize, and lead AI projects—covering data infrastructure, transparency, risk assessment, project management, and cultural change—to increase the actionability of AI outputs and sustain adoption.

Learning Objectives

• Analyze organizational capabilities, data infrastructure, and governance to identify actionable inputs and quantify adoption risks for proposed AI initiatives
• Design a comprehensive AI project plan and management system that specifies roles, development approach, data lifecycle (including archiving and deletion), and decentralised data strategies aligned to business objectives
• Evaluate transparency, experimentation, and decision-disaggregation techniques to improve AI output actionability while recommending controls to mitigate ethical, operational, and adoption risks
• Implement methods to cultivate an AI-friendly culture and lead stakeholder change, demonstrating measurable adoption outcomes and continuous improvement mechanisms