Overview

Artificial Intelligence is reshaping every industry, but lasting competitive
advantage depends on leaders who can move beyond experimentation to
enterprise-wide execution. This immersive two-day executive program equips
leaders with the strategic frameworks, governance models, and practical tools
needed to lead AI transformation responsibly and effectively.

Designed for executives at every stage of their AI journey, the program begins
with a practical primer on essential AI concepts, terminology, tools, and the rapid
evolution of today's AI landscape before progressing to real-world case studies of
organizations that have successfully implemented AI at scale, as well as those that
have experienced significant setbacks. Participants will examine both successes
and failures to understand the leadership, governance, cultural, and execution
lessons that determine outcomes.

This is not an AI evangelism course. It is a practical, evidence-based executive
program grounded in real business experience that helps leaders confidently
begin or accelerate their AI journey, engage their teams, manage risk responsibly,
and unlock measurable business value in the Intelligent Age.

Download brochure

Faculty

Euvin Naidoo

Euvin Naidoo

Distinguished Professor of Practice in Global Accounting, Risk and Agility

Registration Information

CertificateLocationDateDelivery typeCostRegister
AI for Executives: From Strategy to ExecutionMexico City, MexicoMarch 11-12, 2027In-person, Online$1,500Register
AI for Executives: From Strategy to ExecutionPhoenix, United StatesSeptember 30-October 1, 2027In-person, Virtual$1,500Register

Key Benefits

  • Develop a clear executive understanding of AI, its capabilities, limitations,
    and strategic implications.
  • Build a practical roadmap for moving from AI strategy to successful
    enterprise execution.
  • Learn how leading organizations are creating value with AI and the lessons
    from organizations that have struggled or failed.
  • Identify high-impact AI opportunities that improve innovation,
    productivity, customer experience, and organizational performance.
  • Strengthen governance, risk management, and responsible AI decision-
    making
  • Lead organizational transformation while preparing teams for AI-enabled
    ways of working.
  • Apply practical frameworks and executive tools that can be implemented
    immediately within their organizations.
  • Leave with greater confidence to lead AI initiatives that deliver measurable
    and sustainable business outcomes.

Who should attend?

signpost sample 4-1

Senior Executives and Business Leaders
CEOs, Presidents, General Managers, Business Unit Leaders, and functional
executives responsible for enterprise strategy, growth, innovation, and
transformation.

signpost sample 4-2

Leaders Beginning or Accelerating Their AI Journey
Executives with little or no technical AI background seeking a practical
foundation, as well as leaders already experimenting with AI who want proven
frameworks to scale adoption across their organizations.

signpost sample 4-3

Board Members, Public Sector, Strategy and Transformation Leaders
Board directors, government executives, policymakers, and leaders in strategy,
finance, operations, HR, technology, innovation, and transformation responsible
for governance, organizational change, and enterprise performance.

Topics

The program uses executive presentations, interactive case discussions, small-
group exercises, and practical workshops to cover topics including:

  • AI fundamentals: key concepts, terminology, tools, and emerging
    technologies
  • Understanding generative AI, machine learning, and intelligent agents
  • The evolving AI landscape and what every executive needs to know
  • Building an enterprise AI strategy aligned with business objectives
  • Developing an executive AI action plan for your organization
  • Moving from AI experimentation to scalable organizational execution
  • Identifying high-value AI use cases across business functions
  • Lessons from organizations that have successfully implemented AI—and
    those that have not
  • AI governance, ethics, cybersecurity, risk management, and board
    oversight
  • AI governance, ethics, cybersecurity, risk management, and board
    oversight
  • Leading organizational change and building an AI-ready workforce
  • Redesigning work, leadership, and decision-making in the Intelligent Age
    Measuring AI value creation, organizational performance, and return on
    investment

     

Throughout the program, participants will develop a practical roadmap that can
be immediately applied within their own organizations to guide responsible AI
adoption and enterprise transformation.

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