Introduction
This GLOMACS training course provides a strategic blueprint for leaders navigating the complex intersection of corporate governance and artificial intelligence. In an era defined by rapid digital transformation and increasing regulatory scrutiny, organizations must move beyond siloed compliance and risk management to build an integrated, future-proof framework. This training course uniquely bridges the critical domains of Governance, Risk, and Compliance (GRC) with the responsible governance of AI, empowering participants to not only protect their organizations but also to unlock sustainable value and innovation.
By attending this comprehensive 5-day training course, you will gain the essential skills to design and implement a unified GRC framework that seamlessly integrates with modern AI governance principles. You will explore best practices for enhancing corporate strategy through robust internal controls and proactive risk management, while simultaneously mastering the ethical and regulatory landscape of AI. From the foundational COSO and OECD standards to the latest in explainable AI and the EU AI Act, this course equips you to lead with confidence, ensuring your organization is resilient, transparent, and prepared for the future.
This training course will highlight:
- Strategic integration of GRC and AI governance frameworks
- Building a culture of accountability, transparency, and ethical decision-making
- Proactive risk management, including AI-specific risks like bias and opacity
- Practical application of global standards (e.g., COSO, ISO/IEC 42001, OECD)
- Developing future-ready leadership capabilities for responsible innovation
Objectives
At the end of this training course, you will learn to:
- Integrate strategic GRC frameworks with AI governance models
- Analyse organisational risks, including those from AI systems
- Design effective internal controls for responsible AI implementation
- Apply principles of AI transparency, explainability, and accountability
- Lead ethical AI adoption and regulatory compliance initiatives
Training Methodology
This training course employs a highly interactive and practical methodology, blending expert-led lectures with real-world case studies, group workshops, and scenario-based simulations. Participants will actively apply tools and techniques for GRC and AI governance to realistic business challenges, facilitating deep understanding and the development of actionable strategies. Continuous assessment and collaborative problem-solving ensure delegates can immediately translate learning into workplace impact.
Organisational Impact
The Organisation will have the following benefits:
- Enhanced strategic decision-making and resilience
- Strengthened stakeholder trust and corporate reputation
- Proactive compliance with evolving global regulations
- Improved operational efficiency and risk mitigation
- Leadership capability to guide digital transformation
- Fostering a culture of ethical innovation
Personal Impact
At the end of this training course, the participants will gain the following:
- Strategic expertise in integrated GRC and AI governance
- Advanced leadership skills for driving change
- Enhanced professional credibility and career value
- Practical skills in risk assessment and compliance
- Ability to champion responsible AI within their organisation
- Insights into future-proofing business strategies
Who should Attend?
This training course is suitable for a wide range of professionals but will greatly benefit:
- Executive Managers and Board Members
- Risk, Compliance, and Internal Audit Professionals
- AI Project Managers, Data Scientists, and Technology Strategists
- Legal Counsels, Policy Advisors, and Regulatory Officials
- Finance and Governance Professionals
Foundations of Strategic GRC and Corporate Governance
- Introduction to Governance, Risk, and Compliance (GRC) frameworks
- Core principles of corporate governance: transparency, accountability,
fairness
- Legal and regulatory landscape: OECD, Basel, and local standards
- The role of the Board and key committees
- Introduction to the Three Lines of Defence model
- Building a culture of control and integrity
- Overcoming barriers to effective governance implementation
- Integrating GRC with corporate strategy and objectives
Enterprise Risk Management (ERM) and Internal Control
- Comprehensive risk management framework and process
- Identifying and assessing key organisational risks (Financial, Operational,
Strategic, Reputational)
- Developing and using Key Risk Indicators (KRIs)
- The COSO framework for internal control systems
- Designing and implementing preventive and detective controls
- Managing emerging risks: ESG, digital, and cybersecurity
- Business continuity planning and operational resilience
- Risk-based approach to compliance and internal audit
The GRC and AI Governance Nexus
- The evolution of AI and its impact on governance models
- Key governance challenges: bias, discrimination, and opacity
- Principles of responsible and trustworthy AI
- Understanding global AI standards and frameworks (e.g., OECD, NIST AI
RMF)
- Defining accountability in AI contexts
- Techniques for ensuring AI transparency and explainability
- Auditing AI models and decision pipelines
- Data governance and its intersection with AI governance
Risk, Compliance, and Regulatory Frameworks for AI
- Overview of emerging global AI regulations (e.g., EU AI Act, ISO/IEC
42001)
- Risk classification and mitigation strategies for AI systems
- Establishing mechanisms for accountability and algorithmic auditability
- Building an AI governance framework tailored to your industry
- Role of leadership and board oversight in responsible AI adoption
- Tools and platforms for ongoing monitoring and oversight
- Aligning AI governance with ESG and digital ethics strategies
- Managing risks associated with third-party AI solutions
Operationalising GRC and AI Governance for the Future
- Creating effective GRC and AI governance boards and committees
- Integrating governance into the AI development lifecycle
- Developing a comprehensive GRC performance and maturity assessment
- Applying the Three Lines of Defense model to AI
- Developing Key Risk Indicators (KRIs) for AI systems
- Managing institutional change and implementing new governance systems
- Developing your personal and organisational action plan for strategic GRC and
AI governance
- Final group workshop: Solving real-world GRC and AI challenges
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
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