Introduction

Artificial intelligence is rapidly reshaping organisational strategy, governance structures, and risk profiles across all sectors. For senior management and boards, AI is no longer a technical consideration delegated to specialists; it is a leadership responsibility requiring informed oversight, sound judgment, and ethical accountability. Decisions related to AI directly influence organisational performance, regulatory exposure, stakeholder trust, and long-term resilience.

This Artificial Intelligence for Senior Management & the Board training course provides leaders with a structured, non-technical understanding of AI from a governance and strategic perspective. It focuses on executive decision-making, board-level accountability, and responsible oversight of AI initiatives across the organisation.

Key focus areas include:

 

Key Learning Outcomes

At the end of this training course, participants will be able to:

 

Training Methodology

This training course adopts an executive-level learning approach combining strategic frameworks, real-world case analysis, scenario-based discussions, and facilitated leadership dialogue. Participants engage with practical governance challenges, board-level decision scenarios, and applied oversight models to translate AI concepts into actionable executive judgment and organisational leadership practice.

Artificial Intelligence for Senior Management & the Board

Who Should Attend?

This training course is ideal for professionals seeking to strengthen governance and leadership oversight of artificial intelligence, including:

  • Board members and non-executive directors
  • Chairpersons and board committee members
  • Chief Executive Officers and Managing Directors
  • C-suite executives with strategic or risk oversight responsibilities
  • Senior public-sector leaders and regulators
  • Executives responsible for transformation, governance, or enterprise risk

 

Course Outline

Day 1

Understanding Artificial Intelligence and Its Strategic Relevance

  • What AI is and what it is not: executive-level clarity
  • Evolution of AI and its growing influence on organisations
  • Key types of AI and automation in business and government
  • Strategic implications of AI for competitiveness and performance
  • AI as a board-level and executive responsibility
  • Common misconceptions and leadership blind spots
  • Case studies: strategic success and failure in AI adoption
Day 2

AI Strategy, Business Models, and Value Creation

  • AI as a driver of business and operating model transformation
  • Identifying high-value AI use cases
  • Aligning AI initiatives with organisational strategy
  • Build, buy, or partner decisions for AI solutions
  • Investment evaluation and return on AI initiatives
  • Workforce implications and leadership responsibilities
  • Oversight of AI programmes and portfolios
Day 3

Data, Decision-Making, and AI Governance

  • Data as the foundation of effective AI
  • Data quality, ownership, and governance responsibilities
  • AI-supported decision-making and executive accountability
  • Risks of bias, opacity, and over-automation
  • Ethical AI principles and responsible leadership
  • Governance frameworks for AI oversight
  • Board-level dashboards and reporting on AI
Day 4

Risk, Regulation, and Cybersecurity in AI

  • AI-related risks: operational, legal, reputational, and strategic
  • Cybersecurity risks associated with AI systems
  • Data privacy and regulatory expectations
  • Third-party, vendor, and model risk management
  • Incident response and crisis leadership involving AI
  • Director and executive liability considerations
  • Case studies: AI failures, incidents, and lessons learned
Day 5

Leading Responsibly in an AI-Enabled Organisation

  • Board and executive roles in shaping AI culture
  • Embedding ethics, transparency, and accountability
  • Change management and organisational readiness
  • AI literacy for leadership teams and boards
  • Measuring AI impact and organisational maturity
  • Developing an AI oversight and governance roadmap
  • Reflection, leadership commitments, and next steps

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.

Ready to Take the Next Step?

Reserve your slot today and start your learning journey with us.

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FAQs

This training course focuses on strategic oversight, governance, and leadership decision-making rather than technical implementation. It equips senior leaders with the insight required to govern AI responsibly without requiring technical expertise.  

AI influences strategic decisions, risk exposure, regulatory compliance, and ethical accountability. Boards are responsible for ensuring appropriate oversight, controls, and alignment of AI initiatives with organisational objectives and values.  

Yes. The course examines AI-related operational, legal, reputational, and cyber risks, along with emerging regulatory and compliance expectations that senior management and boards must oversee effectively.  

Participants develop the ability to ask informed, structured questions of executives, vendors, and technical teams, strengthening challenge, assurance, and accountability within AI governance frameworks.  

The course emphasises ethical leadership, transparency, accountability, and responsible decision-making, ensuring AI initiatives support long-term trust, compliance, and organisational resilience.  

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