Kellogg’s AI Strategies for Business Transformation: What Learners Take Away

Kellogg’s AI Strategies for Business Transformation: What Learners Take Away | AI and ML | Emeritus
Synopsis: The Kellogg AI course helps business leaders identify high-value AI opportunities, assess organizational readiness, and build a structured transformation roadmap. Through Kellogg frameworks, industry cases, faculty insights, and applied assignments, learners build the strategy and leadership capabilities needed to connect AI initiatives with measurable business priorities.

Artificial intelligence is reshaping how organizations approach customer experience, operations, productivity, and business growth, making clear AI leadership increasingly important. For executives, functional heads, technology leaders, and consultants seeking to move from AI awareness to structured execution, AI Strategies for Business Transformation: Generative and Agentic Intelligence from Kellogg Executive Education provides practical frameworks for evaluating and leading AI initiatives. The following sections examine what learners gain from the Kellogg AI course, spanning strategic decision-making and responsible AI to applied execution.

Kellogg AI Strategies for Business Transformation at a Glance

The eight-week Kellogg AI course combines business-focused AI strategy with frameworks, cases, faculty-led learning, and applied work. For professionals comparing an AI for business online course, the estimated commitment is four to six hours per week.

Key Features ROI for Leaders
AI Canvas 2.0, AI Radar 2.0, and AI Capability Maturity Model Assess AI opportunities, organizational readiness, and business value more systematically
Cross-functional cases and industry examples Evaluate how AI can support customer experience, operations, and business functions
“Memo to the CEO” capstone project Practice turning AI opportunities into a structured, executive-facing business case

For a closer look at practical application, read how the Kellogg AI for Business Course helps leaders turn AI strategy into real business impact.

Kellogg AI Strategies for Business Transformation: From AI Opportunities to Strategic Execution

The Kellogg AI course helps leaders move from identifying AI possibilities to evaluating where they fit, what value they can create, and how an organization can build the capabilities to execute them.

Through frameworks, industry examples, case studies, and practical assignments, participants:

  • Identify high-value AI applications across key business functions
  • Assess enterprise AI readiness and capabilities through structured frameworks
  • Design an AI transformation plan and strategic roadmap

“Gaining an overview of the current state of AI—framed within its historical context—and seeing how it can be applied across different organizational functions was extremely insightful for me. I also appreciated the encouragement to experiment with these tools ourselves to do the various assignments, as it really highlighted the possibilities they offer. I found the professor’s balanced and optimistic approach to the subject truly refreshing.”

—Lata Varghese, EVP, Randstad Digital

Leading AI Adoption Across the Enterprise

The online program gives leaders a structured way to connect AI opportunities with business priorities instead of evaluating initiatives in isolation.

Participants learn to:

  • Map enterprise-wide generative AI opportunities using AI Radar 2.0
  • Frame AI initiatives with the seven-step AI Canvas 2.0
  • Assess enterprise AI capabilities through the AI Capability Maturity Model

Leadership outcomes:

  • Evaluate which use cases warrant attention by considering business needs, potential impact, and organizational capability. 
  • Structure the key elements of a generative AI initiative through AI Canvas 2.0 so that recommendations can be communicated in business terms.

“The best part of the program was how practical and structured it was. The frameworks, especially AI Canvas 2.0, AI Radar 2.0, Jobs-to-Be-Done, and the AI Capability Maturity Model, helped me move beyond high-level AI concepts into a clear method for identifying business problems, prioritizing opportunities, and building a defensible AI strategy with governance and change management built in”

—Aline Rodrigues de Almeida, Manager, Enablement Strategy, Expedia Group

Building Responsible AI Leadership

The Kellogg AI course places governance and responsible implementation within the wider AI transformation process.

Participants learn to:

  • Apply the Six Principles of Responsible AI
  • Recognize ethical, governance, and societal implications of AI
  • Consider governance while planning enterprise AI initiatives

Leadership outcomes:

  • Gain the perspective to identify responsible use, organizational governance, and business value as connected parts of AI planning. 

“It helped me see not just what AI can do, but how to use it responsibly to create real business value.”

—Anjani Bharadwaj, Senior Vice President

Developing Cross-Functional AI Leadership Skills

The program examines how AI can create value across customer experience, operations, support functions, and industry-specific settings.

Participants develop:

  • Skills for identifying AI opportunities in marketing, sales, and customer service
  • A clearer view of AI applications across HR, finance, and operations
  • The ability to connect functional use cases with broader digital transformation priorities

Leadership/Executive outcome 4: Lead AI conversations across business functions

  • Participants gain a wider enterprise view of where generative and agentic AI may create value. For learners seeking an AI business strategy course, this supports more informed conversations on AI integration with business and technology stakeholders.

“The emphasis on human–AI collaboration stood out the most because it shifted the narrative away from fear of replacement to one of empowerment and growth.”

—Shashi Kumar Singh, AWS Enterprise Architect

Kellogg AI Course: A Learning Experience Built on Real-World Application

The Kellogg AI course combines strategic frameworks with cases, assignments, industry examples, and a capstone designed around an executive AI implementation scenario.

Capstone Project Focused on a Real Business Challenge

The program includes:

  • A role-based scenario in which learners act as a manager responsible for an AI project
  • Analysis of user insights, jobs to be done, and functional pain points
  • A “Memo to the CEO” combining data governance and high-value AI business cases

Leadership outcome: 

  • Practice structuring an AI initiative through the capstone that brings business needs, governance, AI use cases, and strategic reasoning into one deliverable. 

“What made the rest of the program valuable: its interconnected framework architecture. The AI Canvas 2.0, AI Radar 2.0, AI Capability Maturity Model and vertical blueprint aren’t just a collection of tools; they are a coherent system for moving from use case identification to organizational readiness assessment. The Prairie Community Bank capstone required me to use all of them together, which allowed me to test whether they actually integrate or not.”

—Mark Fairhurst, Chief Growth Marketing Officer

Case Studies and Frameworks That Drive Innovation

The learning experience includes:

  • Cases such as Enerwind and Prairie Community Bank that place learners in business decision scenarios
  • Frameworks including AI Radar 2.0, AI Canvas 2.0, and the AI Capability Maturity Model
  • Industry and functional examples spanning customer experience, healthcare, retail, financial services, and creative industries

Leadership outcome: 

  • Examine how different AI approaches fit different business objectives rather than treating AI as one uniform solution. 

“The case studies and hands-on assignments made the learning immediately applicable to real organizational decision making.”

—Aline Rodrigues de Almeida, Manager, Enablement Strategy, Expedia Group

Learning From Industry Experts and Faculty

Participants gain access to:

  • Professor Mohanbir Sawhney, McCormick Foundation Chair of Technology, Clinical Professor of Marketing, and Director of the Center for Research in Technology & Innovation
  • Live faculty sessions exploring AI adoption, agentic AI, governance, and business transformation
  • Weekly live sessions with a program leader to connect learning goals with the program journey

Leadership outcome:

  • Get exposure to named frameworks and concepts for discussing AI opportunity, readiness, governance, agents, and transformation with greater structure. 

“The AI Canvas 2.0 provided a clear and practical structure to move from identifying problems to designing scalable AI use cases.”

—Rajasekharan Sankaralingam, Senior Vice President, IT Services, Movate Technologies

Why the Kellogg Executive Education Credential Strengthens Your Leadership Profile

Participants receive:

  • A verified digital certificate of completion from Kellogg Executive Education
  • A certificate that can be shared on professional profiles and with employers
  • Points toward the pathway to becoming a Kellogg Executive Scholar

For a broader view of how executives can approach AI adoption, explore this guide to AI for business leaders, covering the strategic priorities that can shape effective AI-led decision-making.

Turn AI Strategy Into Business Action

For working professionals responsible for AI-led change, the Kellogg AI course provides a structured path from opportunity identification to AI-powered business-case development and transformation planning. Participants learn to evaluate AI applications, use frameworks to guide decisions, account for governance, and present recommendations through applied work. The AI Strategies for Business Transformation: Generative and Agentic Intelligence program from Kellogg Executive Education can support leaders seeking to connect AI strategy to clearer decisions, stronger execution, and measurable business priorities.

Position yourself as a leader in AI-led business transformation with AI Strategies for Business Transformation: Generative and Agentic Intelligence from Kellogg Executive Education.

About the Author


Srijanee believes deep-dive research, target audience sentiments, and market analysis make every piece of content matter. She honed these skills over eight years while crafting compelling narratives in the digital realm. When she is not juggling her professional duties, she pursues her passion: dance. She cherishes silly but precious moments with her family while also taking time to binge on OTT series.
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