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An Interactive 5-Day Training Course

Artificial Intelligence (AI) Strategy & Leadership Program

Lead AI-driven transformation with strategic clarity and responsible governance

The Artificial Intelligence (AI) Strategy & Leadership Program training course develops structured capability in designing enterprise AI strategies, leading AI-enabled transformation, and embedding responsible governance to drive sustainable competitive advantage.

Core Competencies:

AI Strategy Design
Transformation Leadership
Responsible AI Governance
Data-Driven Decision-Making

Course Schedule

30 Mar - 03 Apr 2026

London

| $5950

27 Apr - 01 May 2026

Dubai

| $5950

01 - 05 Jun 2026

Paris

| $5950

07 - 11 Sep 2026

London

| $5950

19 - 23 Oct 2026

Amsterdam

| $5950

23 - 27 Nov 2026

Amsterdam

| $5950

28 Dec - 01 Jan 2027

Dubai

| $5950

On this Page

Introduction Key Learning Outcomes Training Methodology Who Should Attend? Outline

Introduction

Artificial intelligence is rapidly reshaping organisational strategy, operating models, and leadership responsibilities. As AI capabilities expand across automation, analytics, and intelligent decision support, leaders must move beyond experimentation and adopt a structured, strategic approach to AI adoption. Without clear governance, alignment, and leadership direction, AI initiatives risk fragmentation, ethical exposure, and limited business value.

The Artificial Intelligence (AI) Strategy & Leadership Program training course equips senior professionals with the insight and leadership frameworks required to guide AI-driven transformation at an enterprise level. Participants explore how AI influences competitiveness, organisational design, governance, and workforce capability. The course emphasises strategic alignment, ethical oversight, and leadership behaviours that enable organisations to translate AI opportunities into measurable value while maintaining trust, accountability, and long-term resilience.

Key focus areas include:

Enterprise AI strategy and transformation roadmaps
Leadership responsibilities in AI-enabled organisations
Governance, ethics, and responsible AI deployment
Workforce readiness and cultural alignment for AI adoption

Key Learning Outcomes

At the end of this Artificial Intelligence (AI) Strategy & Leadership Program training course, participants will be able to:

Analyse organisational readiness for AI-enabled transformation
Design AI strategies aligned with enterprise priorities and value outcomes
Apply governance, ethics, and risk frameworks for responsible AI adoption
Evaluate AI capabilities that enhance operational and strategic performance
Lead workforce and cultural change driven by AI integration
Strengthen leadership judgement in data-driven and AI-enabled environments

Training Methodology

This Artificial Intelligence (AI) Strategy & Leadership Program training course adopts a strategic and executive-level learning approach focused on real organisational challenges. Participants engage with applied AI strategy frameworks, scenario analysis, case-based discussions, and leadership reflection to translate AI concepts into practical strategic action. Emphasis is placed on governance, decision-making, and leadership accountability in AI-driven transformation.

Who Should Attend?

This Artificial Intelligence (AI) Strategy & Leadership Program training course is ideal for:

C-suite executives and senior leaders shaping organisational strategy
Strategy, transformation, and corporate development leaders
Digital, data, and technology executives
Innovation and business development managers
Department heads responsible for enterprise transformation
Professionals leading or sponsoring AI adoption initiatives

Course Outline

Day 1

Understanding AI and Its Enterprise Impact

The evolution of AI and its strategic implications
Key AI technologies: machine learning, NLP, automation, analytics
Global trends shaping AI-driven competitiveness
How AI transforms industries, business models, and value chains
Assessing organisational digital and AI maturity
Identifying strategic drivers for AI adoption

Day 2

Designing AI Strategy for Organisational Value

AI strategy frameworks and key components
Opportunity identification and prioritization
Linking AI investments to KPIs and value creation
Designing AI operating models and transformation roadmaps
The role of data strategy in successful AI execution
Cross-functional alignment and executive sponsorship

Day 3

AI Governance, Ethics, and Risk Management

Principles of responsible and ethical AI deployment
AI governance frameworks and accountability structures
Managing bias, transparency, and explainability
Risk assessment models for AI initiatives
Regulatory and compliance considerations
Balancing innovation with responsible oversight

Day 4

Leading AI Transformation and Workforce Enablement

Leadership mindsets for AI-enabled organisations
Human–machine collaboration and redesigned workflows
Talent, upskilling, and workforce transformation strategies
Driving cultural adoption and organisational change
Communication strategies for AI-driven change journeys
Case studies of successful AI leadership practices

Day 5

Innovation, Scalability, and Future AI Opportunities

Scaling AI from pilot concepts to enterprise-wide deployment
Integrating AI with automation, analytics, and cloud ecosystems
Monitoring performance and measuring ROI
Future trends: generative AI, autonomous systems, intelligent enterprises
Vision-building for long-term AI leadership
Leadership action planning for organisational transformation

International Standards & Professional Alignment

Our training courses are aligned with internationally recognised professional standards and frameworks across leadership, strategy, finance, governance, risk, compliance, and audit. By integrating globally trusted models, we ensure learners develop practical, relevant, and industry-recognised capabilities.

Our trainings draw on leading international standards and professional frameworks, including ISO, ISACA, COSO, OECD, IIA, FATF, Basel, IFRS/ISSB, GRI, NIST, CPD, ILM and the OECD AI Principles. This alignment ensures consistency with global best practices across financial management, risk oversight, digital governance, sustainability, and strategic decision-making..

Designed in alignment with globally recognised professional bodies, our courses support continuous professional development, strengthen organisational capability, and provide clear pathways toward professional certifications valued worldwide.