AI adoption is accelerating, but organizations struggle to realize its full value.
- 95% of organizations report no return from their GenAI investments.
- 46% of professionals admit uploading sensitive company information or intellectual property to public AI platforms.
- 50% of jobs are expected to be reshaped by AI.
- 56% is the average salary premium for professionals with AI skills.
Organizations need AI governance that enables innovation while ensuring accountability, transparency and trust.
Overview
ITIL AI Governance (Version 5) equips professionals with the practical knowledge, models and tools to help organizations govern AI responsibly.
Built on the globally recognized ITIL framework, it enables organizations to balance innovation with governance, build trust, manage risk and realize lasting value from AI.
Key Benefits of ITIL AI Governance (Version 5) for organizations and professionals
- Establish effective AI governance across products, services, and operations.
- Clear accountabilities and responsibilities, and oversight for AI across the organization.
- Balance innovation with governance, compliance and ethical considerationsSafer and responsible AI adoption without compromising speed or agility.
- Reduces compliance, regulatory, and ethical risks in AI initiatives
- Stronger AIOps and operational resilienceBuilds accountability, trust and confidence in AI-enabled products and services.
- AI-native while remaining human-centric
- People keep meaningful control of AI outcomes.
Scale the use of AI responsiblyTurn ambition into measurable and sustainable value.
Skills Covered
- Responsible AI Governance: Build practical capability to embed oversight, accountability, transparency, and ethical safeguards across AI use.
- AI Governance in Practice: Apply AI governance through real-world workplace scenarios across the AI governance lifecycle.
- The ITIL AI Governance Improvement Model: Learn how to move from principles to action, assess current AI governance, design appropriate adjustments, and ensure governance remains effective over time.
- The ITIL AI Capability Model: Apply the ITIL AI Capability Model to determine governance requirements in real-world scenarios.
Prerequisites
There is no prerequisite to attend this course.
Target Audience
- Professionals with AI (delivery) responsibility
- Professionals responsible for introducing, embedding, or managing AI at scale within products, services, and organizational workflows
- Professionals responsible for organizational AI projects, digital and AI transformation initiatives, and AI-enabled product and service development and management
- Introduction to ITIL, governance and AI (types of AI, characteristics of AI)
- AI governance key terms and concepts, good AI governance
- AI in industries and organizational functions
- The ITIL AI Capability Model (6C Model)
- Value of AI, AI opportunities, outcomes, risks and challenges, costs
- AI and strategy
- The ITIL AI Governance Improvement Model (Assess, Design, Implement, Maintain)
- Stewardship and continual improvement
- Compliance, regulation and external alignment
- Practical application of AI governance
Dates & Locations
September 21, 2026 - September 22, 2026
Location:
Kuala Lumpur
Modal:
ILT
Availability:
TBC
Exam:
Included
September 21, 2026 - September 22, 2026
Location:
Online
Modal:
VILT
Availability:
TBC
Exam:
Included
December 14, 2026 - December 15, 2026
Location:
Kuala Lumpur
Modal:
ILT
Availability:
TBC
Exam:
Included
December 14, 2026 - December 15, 2026
Location:
Online
Modal:
VILT
Availability:
TBC
Exam:
Included
Exam & Certification
Assessment
- Multiple Choice, Open Book
- 90 minutes, 40 questions (pass mark – 70% for candidates)
- No certification prerequisites
Why ITIL AI Governance wins
- ITIL is a globally trusted and widely adopted best practice framework
- ITIL AI Governance is well positioned to lead on AI governance because it brings a structured, technology-neutral approach to accountability, value, trust, and management across AI use.
- ITIL AI Governance provides a cross-organisational approach that helps organizations integrate AI governance into existing governance practices, applying governance consistently across products, services, projects, programmes and organisational workflows.
- Integrates with PRINCE2, Agile, DevOps, and other frameworks and standards
- Designed for modern digital services and AI-driven environments
- No certification prerequisite and role-based accessibility
Training & Certification Guide
Frequently Asked Questions
Speak to a Training Consultant
All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631
