INTRODUCTION

The AI Strategy Formation for Business Leaders Course addresses a growing leadership challenge faced by organisations across industries. While artificial intelligence is widely recognised as a strategic priority, many leaders struggle to translate awareness into a clear, actionable business strategy. Without direction, AI initiatives often remain fragmented, reactive, or disconnected from measurable business value.

This training course focuses on helping leaders define what an effective AI strategy truly means for their organisation. Rather than concentrating on technology or technical implementation, the course strengthens leadership judgement and strategic decision-making related to AI. Participants explore how to position AI as a deliberate strategic choice aligned with business objectives, organisational capability, and risk tolerance.

Through structured discussion and strategic reflection, leaders will learn how to identify where AI can deliver meaningful value while avoiding unnecessary complexity or exposure. Emphasis is placed on setting priorities, establishing governance boundaries, and preparing the organisation for responsible AI adoption before execution begins.

OBJECTIVES

At the end of this AI Strategy Formation for Business Leaders Course, participants will be able to:

·         Define a clear, business-led AI strategy aligned with organisational objectives

·         Analyse strategic AI opportunities and distinguish value creation from experimentation

·         Determine appropriate priorities, boundaries, and guardrails for AI use

·         Assess organisational readiness across leadership, data, and operational capability

·         Strengthen governance and accountability for AI-related decisions

·         Prepare a structured foundation for responsible and future-focused AI execution

OUTLINE

Day 1: AI as a Strategic Leadership Question

• Why AI strategy is a leadership responsibility
• Understanding AI capabilities without technical depth
• Separating strategic opportunity from hype
• AI as efficiency, growth, and risk lever
• Common strategic mistakes in early AI adoption
• Establishing a shared leadership language for AI

Day 2: Defining AI Strategy and Strategic Choices

• What constitutes an effective AI strategy
• Strategic positioning and competitive advantage
• Identifying value-creating AI use cases
• Setting priorities, scope, and exclusions
• Balancing ambition with organisational reality
• Aligning AI strategy with corporate objectives

Day 3: Governance, Risk, and Responsible AI Leadership

• Leadership accountability for AI decisions
• Governance principles and decision rights
• Ethical considerations and responsible AI use
• Regulatory awareness and emerging expectations
• Risk identification and mitigation approaches
• Embedding trust and transparency into strategy

Day 4: Organisational Readiness and Strategic Preparation

• Assessing readiness across data, people, and processes
• Leadership roles in capability development
• Operating model implications of AI strategy
• Workforce and skills considerations
• Change leadership and stakeholder alignment
• Preparing the organisation for future execution

Day 5: Strategic Synthesis and AI Readiness Roadmap

• Synthesising strategy insights and decisions
• Defining strategic guardrails and success criteria
• Developing an AI readiness and sequencing roadmap
• Leadership communication and alignment planning
• Identifying next steps and decision checkpoints
• Translating strategy into executive-level action