Course Schedules

Classroom 4 Sessions
Online / Live
Live

Introduction

The COBIT 2019 for Digital Transformation & AI Governance Training Course equips professionals to navigate the complex landscape of digital innovation and artificial intelligence (AI) while ensuring robust governance. Digital transformation and AI are reshaping organizations by accelerating innovation, enabling data-driven decisions, and enhancing operational efficiency. However, these technologies introduce governance challenges such as ethical risks, algorithmic bias, regulatory compliance gaps, cybersecurity exposures, and accountability concerns.

This training course focuses on applying COBIT 2019 principles to digital and AI initiatives, helping organizations establish governance frameworks that align technology with enterprise objectives. Participants will learn to manage emerging technology risks, embed AI governance within enterprise GRC, and design oversight mechanisms that foster innovation responsibly. By the end, learners can confidently govern AI and digital transformation programs while ensuring transparency, compliance, and strategic value creation.

What are the Goals?

By completing this training course, participants will gain the ability to govern digital transformation and AI initiatives using COBIT 2019 frameworks. They will understand how to integrate AI governance into enterprise structures while ensuring ethical, transparent, and value-driven implementation.

  • Apply COBIT 2019 to plan, monitor, and control digital transformation initiatives
  • Design governance structures for AI systems and emerging technologies
  • Align AI and digital strategies with enterprise objectives and value creation
  • Integrate AI risk management into enterprise GRC frameworks
  • Define roles, accountability, and decision rights for AI systems
  • Support responsible and transparent AI governance practices
  • Monitor performance, compliance, and risks associated with digital and AI initiatives

Who is this Training Course for?

This course is tailored for professionals responsible for steering digital innovation, AI deployment, and enterprise governance. It is ideal for individuals who need to bridge technology strategy with organizational oversight.

  • Digital transformation leaders and innovation executives
  • CIOs, CTOs, and Chief Digital Officers overseeing AI adoption
  • AI governance, data governance, and analytics leaders
  • Governance, Risk, and Compliance (GRC) professionals
  • Enterprise architects and innovation managers
  • Cybersecurity and IT risk professionals
  • Internal auditors and assurance specialists

How will this Training Course be Presented?

The COBIT 2019 Digital Transformation & AI Governance Training Course uses interactive, hands-on learning methods to ensure practical understanding of governance frameworks. Participants engage in real-world case studies, governance design exercises, and scenario-based discussions that reflect challenges in AI and digital initiatives.

Workshops emphasize strategy alignment, decision-making, and performance monitoring, while group exercises allow learners to practice integrating AI governance into enterprise GRC frameworks. The course balances theory with practical application, ensuring participants leave with actionable skills for establishing governance structures, mitigating risks, and ensuring compliance in AI-driven transformation programs.

Course Content

Day 1

Digital Transformation, AI, and Enterprise Governance

  • Digital transformation as a strategic governance challenge
  • AI as a driver of value, risk, and disruption
  • Common governance failures in digital and AI initiatives
  • Overview of COBIT® 2019 framework
  • Governance vs. management in digital transformation
  • Positioning AI and digital programs within enterprise governance
Day 2

COBIT 2019 Governance & Management Objectives for Digital & AI

  • Review of COBIT governance and management domains
  • Governance domain (EDM): oversight of digital and AI initiatives
  • Management domains and relevance to transformation:
    • APO: digital strategy, innovation, and data governance
    • BAI: AI system design, development, and deployment
    • DSS: digital operations, AI-enabled services, and resilience
    • MEA: monitoring digital performance, risk, and compliance
  • Selecting COBIT objectives for AI and digital governance
Day 3

AI Risk, Ethics, and Governance Structures

  • Understanding AI-specific risks:
    • Algorithmic bias and fairness
    • Data quality and privacy
    • Transparency and explainability
    • Automation risk and decision accountability
  • Defining AI risk appetite and governance policies
  • Roles and responsibilities in AI governance
  • Integrating AI governance into enterprise GRC
  • Using COBIT goals cascade for AI alignment
Day 4

Integrating COBIT with AI & Digital Frameworks

  • COBIT and digital transformation frameworks
  • COBIT alignment with:
    • Data governance and analytics models
    • AI ethics and responsible AI principles
    • Cybersecurity and privacy frameworks
  • Governing AI across the lifecycle
  • Avoiding innovation bottlenecks while maintaining control
  • Governance metrics for digital and AI initiatives
Day 5

Performance, Assurance, and Continuous Improvement

  • Measuring value and outcomes of digital transformation
  • AI performance management and governance indicators
  • Board-level reporting on digital and AI initiatives
  • Role of internal audit and assurance in AI governance
  • Continuous improvement of digital governance systems
  • Course review, governance roadmap, and next steps

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
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