The Wharton School

AI Strategy and Decision Making

The Wharton School

AI and Analytics

About Programme

AI is transforming how organizations make decisions, serve customers, and compete — but knowing what AI can do is not the same as knowing when and how to use it well. This course helps leaders develop the strategic judgment needed to evaluate where data, analytics, and AI create real value, where they fall short, and why the difference matters.

Rather than teaching you to build models or select tools, this course focuses on the strategic decisions AI is meant to support. You will examine how AI reshapes workflows and organizational capabilities and explore topics such as prediction versus judgment, human-machine collaboration, data as a competitive asset, and the limits and risks of analytics-driven initiatives. Through cases and applied frameworks, you will assess when decisions should be automated, augmented, or left to human expertise — and how data availability, bias, explainability, and scale affect the strategic choices you face.

Programme Content

This course develops the diagnostic and evaluative thinking leaders need to engage responsibly with AI-related decisions. By the end, you will be able to:

Diagnose where data, analytics, and AI can (and cannot) create competitive advantage within an organizational context
Design a high-level, practical job aid for AI-supported decision making
Evaluate the strategic, organizational, and ethical trade-offs involved in scaling analytics and AI initiatives
Reflect on and articulate your role in shaping how analytics, AI, and machine learning are used within your organization
Demonstrate a commitment to building AI and digital capabilities responsibly, valuing the short-term and long-term consequences of substituting computation for human expertise
Develop a personal approach for continuously evaluating, learning about, and adapting to evolving AI and digital capabilities.

Delivered fully online and self-paced, this course features four in-depth modules (approximately two to three hours each). You will move through a blend of short-form video lectures, guided workbook reflections, applied activities, and optional stretch exercises that connect concepts to your own organizational context.

You will go beyond concepts and put ideas into practice. Specifically, this course will equip you to:

Complete decision-framing exercises, simulations, and reflections that connect AI concepts to real organizational choices
Build a running decision journal and toolkit that captures insights, trade-offs, and reusable frameworks across modules
Produce a work-ready capstone artifact: either an AI Decision Framing Brief for a specific organizational decision or an AI Decision Support Toolkit you can use across contexts

By the end, you will have the judgment and tools to engage credibly in AI-related conversations: asking better questions, surfacing hidden risks, and making more informed decisions about where AI belongs in your organization.

Programme Audience

This course is designed for professionals who must engage with AI-related decisions as part of their leadership responsibilities, including:

Strategy and transformation leaders evaluating where AI fits into their organization’s digital strategy
Product and platform leaders influencing AI-supported decisions about features, personalization, and automation
Operations and general management leaders accountable for performance, risk, and responsible adoption
Analytics, data, and technology leaders shaping AI governance, prioritization, and organizational readiness
Leaders involved in AI review or governance who need frameworks for evaluating proposals without owning technical implementation

To further leverage the value and impact of this program, we encourage companies to send cross-functional teams of executives to Wharton. We offer group-enrollment benefits to companies sending four or more participants.

Programme Benefits

Diagnose where data, analytics, and AI can (and cannot) create competitive advantage within an organizational context
Design a high-level, practical job aid for AI-supported decision making
Evaluate the strategic, organizational, and ethical trade-offs involved in scaling analytics and AI initiatives
Reflect on and articulate your role in shaping how analytics, AI, and machine learning are used within your organization
Demonstrate a commitment to building AI and digital capabilities responsibly, valuing the short-term and long-term consequences of substituting computation for human expertise
Develop a personal approach for continuously evaluating, learning about, and adapting to evolving AI and digital capabilities.

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Prashansa Uttam

Programme Advisor

+91 9403890085[email protected]Mon – Fri, 9am – 5pm IST

The Wharton School

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AI Strategy and Decision Making | The Wharton School