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Executive Workshop: Strategic Questions for Artificial Intelligence

This executive-level workshop is designed to help senior leaders and decision-makers address the critical strategic questions that Artificial Intelligence creates for modern organizations. Rather than focusing on…

AIF · AI FundamentalsAll LevelsClassroomEnglish , Arabic
Duration
5 Days
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Sectors:Artificial Intelligence & ApplicationsCategories:AI Fundamentals

Course Overview

This executive-level workshop is designed to help senior leaders and decision-makers address the critical strategic questions that Artificial Intelligence creates for modern organizations. Rather than focusing on technical implementation, the workshop concentrates on leadership judgment, strategic choices, business value, organizational impact, governance, and long-term competitiveness. Participants will examine how AI is changing industries, business models, operating structures, customer expectations, workforce requirements, and competitive dynamics. The workshop provides a structured environment for executives to challenge assumptions, assess opportunities, identify risks, and determine where AI should—and should not—be deployed. The programme focuses on the questions executives must answer before making major AI investments, including where AI can create meaningful value, which capabilities should be developed internally, how investments should be prioritized, how AI should change the organization, and how leadership should manage emerging risks and responsibilities. Through executive discussions, strategic scenarios, case studies, and decision-making exercises, participants will develop a clearer perspective on AI priorities and establish practical strategic actions for positioning their organizations for an AI-enabled future.

Learning Objectives

  • By the end of this executive workshop, participants will be able to:
  • Evaluate the strategic implications of AI for their organization and industry.
  • Identify the most important AI-related questions facing executive leadership.
  • Assess where AI can create measurable business and organizational value.
  • Challenge assumptions about AI investments, capabilities, and expected outcomes.
  • Prioritize AI opportunities according to strategic importance and business impact.
  • Evaluate the implications of AI for business and operating models.
  • Assess organizational readiness for AI-driven transformation.
  • Evaluate workforce, leadership, and capability implications of AI adoption.
  • Strengthen executive decision-making around AI investments and priorities.
  • Identify major AI governance, ethical, regulatory, cybersecurity, and reputational risks.
  • Establish appropriate leadership responsibilities for AI oversight and accountability.
  • Develop strategic responses to AI-driven competitive disruption.
  • Define executive-level priorities for AI adoption and transformation.
  • Develop a focused leadership agenda for the next stage of AI evolution.

Who Should Attend

This workshop is designed specifically for senior executives and decision-makers who are responsible for organizational strategy, investment decisions, transformation, innovation, risk, technology, and long-term business performance. It is particularly relevant for CEOs, board members, C-suite executives, executive directors, general managers, business unit leaders, strategy executives, digital transformation leaders, CIOs, CTOs, Chief Data Officers, innovation leaders, risk executives, and senior professionals responsible for shaping AI-related decisions. The workshop is suitable for leaders across government and public-sector organizations, banking and financial services, oil and gas, energy, industrial organizations, telecommunications, healthcare, and large corporations.

Learning Outcomes

  • Upon completion of the workshop, participants will be able to:
  • Explain the strategic implications of AI beyond technology adoption.
  • Identify the critical questions executives should ask before investing in AI.
  • Evaluate AI opportunities through a business and strategic lens.
  • Distinguish between high-value AI opportunities and technology-driven initiatives with limited value.
  • Assess the potential impact of AI on business models and competitive positioning.
  • Evaluate organizational readiness for AI transformation.
  • Determine the capabilities and leadership structures required for AI adoption.
  • Assess workforce and operating-model implications.
  • Evaluate AI investment priorities and strategic trade-offs.
  • Identify key risks associated with AI adoption and scaling.
  • Strengthen executive governance and oversight of AI initiatives.
  • Develop strategic responses to emerging AI-driven disruption.
  • Define measurable executive priorities for AI transformation.
  • Formulate a practical AI leadership agenda for the organization.

Course Outline

Course Outline

Day 1

The Strategic AI Questions Every Executive Should Ask

  • What does AI mean for our organization?
  • Why is AI strategically important now?
  • Where will AI create the greatest value?
  • Which industry assumptions are being disrupted?
  • How will AI change competitive advantage?
  • What should executives understand about AI without becoming technical specialists?
  • Which AI trends deserve executive attention?
  • Where should the organization lead, follow, or deliberately wait?
  • What happens if competitors adopt AI faster?
  • Executive Discussion: Identifying the Top AI Questions Facing Our Organization
Day 2

AI, Business Models & Strategic Value

  • How can AI transform existing business models?
  • Where can AI generate new revenue opportunities?
  • How can AI improve productivity and operational performance?
  • Which processes should be augmented, automated, or redesigned?
  • How should organizations evaluate AI business cases?
  • What constitutes meaningful AI value?
  • How should AI investments compete with other strategic investments?
  • How should executives prioritize AI opportunities?
  • Build, buy, partner, or develop internally?
  • Executive Exercise: AI Opportunity & Strategic Value Assessment
Day 3

AI, People, Leadership & Organizational Transformation

  • How will AI change the future workforce?
  • Which jobs and capabilities will be transformed?
  • What skills will become strategically important?
  • How should leaders manage employee concerns and resistance?
  • How should organizations approach reskilling and workforce development?
  • How will AI change management roles and decision-making?
  • What does an AI-enabled operating model look like?
  • How should leadership responsibilities evolve?
  • Building a culture of responsible AI adoption
  • Executive Scenario Workshop: Leading the AI-Driven Organization
Day 4

AI Governance, Risk & Executive Accountability

  • What are the most significant strategic AI risks?
  • How should executives approach AI governance?
  • Who should own AI-related decisions and accountability?
  • How should organizations manage ethical and responsible AI?
  • What are the implications of privacy and data protection?
  • How should cybersecurity risks associated with AI be managed?
  • Managing regulatory and compliance considerations
  • AI model risk and decision-making risks
  • Protecting organizational reputation and stakeholder trust
  • Establishing effective executive oversight
  • Executive Case Study: AI Risk, Governance & Strategic Decision-Making
Day 5

Executive AI Agenda & Strategic Roadmap

  • What should our AI ambition be?
  • Which AI initiatives should we prioritize?
  • What capabilities must we build?
  • What should happen in the next 90 days?
  • What should be achieved within one year?
  • How should executives measure AI progress and value?
  • Establishing strategic AI KPIs
  • Creating an executive AI governance structure
  • Preparing for future AI developments and disruption
  • Building long-term organizational resilience and competitiveness
  • Final Executive Workshop: Developing the Strategic AI Leadership Agenda & Executive Roadmap

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