Drive Transformational Impact Through Actionable AI Leadership.
AI for Strategic Transformation equips executives with the clarity and discipline to lead AI-driven change across their organizations.
As artificial intelligence accelerates faster than most companies can adapt, leaders must bridge the gap between technological potential and meaningful, responsible impact. Grounded in Booth’s evidence-based approach, you’ll learn how to evaluate opportunities, manage risk, and guide strategic implementation with confidence. Over ten weeks—through a blend of live online and self-paced online sessions—you’ll learn from Chicago Booth faculty and apply proven frameworks directly to your organizational context. Drawing on insights from Booth’s Center for Applied Artificial Intelligence, practical industry experience, and Booth’s Innovation MBA coursework, you’ll develop the tools to lead AI adoption with clarity and measurable impact.
This program is in partnership Chicago Booth Executive Education and Great Learning.
Programme Content
AI Value Foundations—Predict or Decide?
Explore how AI creates value across prediction, personalization, and execution
Learn to frame real business problems, understand core ML fundamentals, and distinguish between Generative and Agentic AI in strategic context
Harnessing Gen-AI (Your Next Co-Pilot)—Pilot With Purpose
Examine how Generative AI augments creativity, productivity, and decision support.
Evaluate high-value co-pilot applications and the ethical safeguards needed to manage IP, data, and trust.
Harnessing Agentic AI (Your Next Co-Worker)—Collaboration Beats Replacement
Discover how Agentic AI moves beyond prediction to autonomous execution.
Analyze how it scales decision-making, drives ROI, and complements human expertise.
AI Ideation and Prioritization—Data First, Models Second
Identify and prioritize AI opportunities using Booth’s “Aligned–Impactful–Doable” framework.
Learn to map organizational objectives, data needs, and success metrics for early wins
AI Roadmap and ROI Mastery—Predict, Measure, Learn
Translate ideas into measurable outcomes by constructing a staged AI roadmap.
Assess desirability, feasibility, and viability to ensure sustainable business impact.
Human-Centered Innovation—Design for Collaboration
Use design thinking to align AI initiatives with human needs and adoption drivers.
Learn structured ideation, rapid prototyping, and stakeholder empathy for sustainable transformation.
Persuasive Storytelling and Influence for AI Change Management—Lead With Inquiry
Develop persuasive, evidence-based narratives that inspire organizational adoption.
Apply behavioral insights to craft compelling pitches for AI-driven change.
Your AI Playbook Showcase—From Insight to Impact
Integrate your frameworks, use cases, and roadmap into a cohesive AI Playbook.
Present your strategy for peer feedback and refine it into a concrete execution plan.
Programme Objective
By attending this program, you will:
Evaluate AI’s strategic evolution and identify where it creates enterprise value.
Differentiate predictive (ML), generative, and agentic AI to determine their strategic application.
Identify and prioritize high-impact AI use cases aligned with business goals.
Build and refine a roadmap linking AI initiatives to financial and strategic ROI.
Apply human-centered design to ensure adoption and ethical implementation.
Create compelling narratives that secure stakeholder buy-in and organizational traction.
Leverage critical thinking frameworks for strategic decision-making in the age of AI implementation.
Programme Audience
Designed for mid- to senior-level executives, innovation executives, and functional managers seeking to drive business transformation through AI. It is ideal for those responsible for strategic decision-making, operational improvement, or digital innovation who want to move beyond experimentation and create scalable value.
Senior leaders who drive organizational strategy and seek to create scalable value through AI.
Innovation executives who lead digital innovation initiatives and want to move beyond experimentation to achieve measurable impact.
Functional managers responsible for strategic decision-making, operational improvement, or cross-functional AI projects.
Participants do not need a technical background; the program translates complex AI concepts into leadership tools, enabling executives to frame, prioritize, and lead high-value AI initiatives in alignment with organizational strategy.