Role-Based Programme
RB1065

AI for Leadership

Strategic Decision-Making, Business Transformation & Responsible AI Governance

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build a practical understanding of Artificial Intelligence and Generative AI from a leadership and business perspective.
  • Apply AI to strategic thinking, decision preparation, business analysis, communication, productivity, and organisational planning.
  • Identify high-value AI opportunities across functions, processes, customer experiences, and business models.
  • Develop leadership capability for evaluating AI initiatives based on business value, feasibility, risk, and organisational readiness.
  • Understand responsible AI governance, data confidentiality, human oversight, workforce implications, and leadership accountability.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AnalysisData AnalysisScenario PlanningExecutive SummarisationAI-Powered Presentation & Communication Tools

Who should attend

  • C-Suite Executives
  • Business Leaders
  • Vice Presidents
  • Directors
  • General Managers
  • Business Unit Heads
  • Department Heads
  • Functional Heads
  • Regional Leaders
  • Transformation Leaders
  • Strategy Leaders
  • Operations Leaders
  • Senior Managers
  • Leadership Team Members

Prerequisites & Participant Readiness

  • Experience in leadership, management, strategy, or business decision-making
  • Familiarity with business planning, management reviews, and organisational priorities
  • Basic understanding of digital business tools
  • No programming or technical AI knowledge required
  • Prior experience with Generative AI tools is helpful but not mandatory

TOC Modules

Concepts
  • Understanding Artificial Intelligence, Generative AI, Large Language Models, and multimodal AI
  • Understanding the difference between AI, automation, analytics, search, and traditional software
  • Exploring how AI is influencing productivity, customers, operations, innovation, and business models
  • Understanding AI limitations, hallucinations, uncertainty, and dependence on data and context
Practical activities
  • Exploring common leadership activities that can be supported by AI
  • Comparing traditional and AI-assisted approaches to a management task
  • Identifying potential AI opportunities within a sample organisation

Scenarios

Business Challenge to AI Opportunity Portfolio

Business Challenge → AI-Assisted Analysis → Process & Performance Gaps → AI Use Cases → Value & Feasibility → Risk Assessment → Prioritised Opportunity Portfolio

Participants use AI to analyse a sample organisational challenge, identify potential AI-enabled opportunities, evaluate them against business and risk criteria, and prepare a prioritised portfolio for leadership review.

AI Initiative to Executive Decision

AI Proposal → Business Objective → Expected Value → Data & People Requirements → Risks → Governance → Implementation Options → Executive Decision Brief

Participants evaluate a proposed AI initiative from strategic, operational, people, and governance perspectives and prepare a structured executive decision brief with clear human oversight and accountability.

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