Organizing for Digital Transformation helps managers move beyond buzzwords to the hard work of aligning people, processes, and structures with technology investments. Many firms buy tools and collect data but fail to organize for impact. This course focuses on the missing middle: operating models, governance, team design, and metrics that convert analytics and AI into measurable results.
Across the course, you’ll connect strategy to execution. You’ll diagnose why transformations stall, map stages of change, and link them to the right measures at the right time. You’ll study global frameworks and current research, analyze how architecture choices create durable advantage, and apply lessons through reflections, quizzes, and structured assignments.
You’ll practice building an AI Action Brief for your organization, design a transformation metrics roadmap that avoids perverse incentives, and craft a firm response to real pressures, from deglobalization to AI and rising tech costs. A healthcare analytics case (with CEO insights) grounds debates on incentives, data sharing, price transparency, and ethical guardrails for AI. Throughout, self-graded rubrics guide your drafts toward executive-ready deliverables.
The course is self-paced and practical. Each activity is scoped to be completed in short work sessions, with optional exhibits to showcase your thinking. By the end, you’ll have a portfolio of applied artifacts: reflection notes, a metrics map, an AI adoption brief, and a strategy response for a firm. Whether you’re leading pilots or scaling enterprise programs, you’ll leave with a clear playbook for organizing digital transformation at speed and with integrity.
