Upcoming Dates
Train your team with Quanta. Private course delivery available. Contact us to discuss your options.
Establishing Responsible, Effective and Governed AI Services
Descriptions
Who is this course for
- IT Service Management professionals responsible for delivering and supporting AI-enabled services
- Service Owners and Service Managers seeking to establish effective AI governance practices
- IT Governance, Risk and Compliance professionals responsible for oversight and assurance activities
- Digital Transformation leaders driving AI adoption and innovation initiatives
- AI Programme and Project Managers responsible for delivering AI-enabled solutions
- Business Change Managers supporting organisational transformation and AI integration
- Enterprise Architects designing governance frameworks and operational models for AI
- Technology and Innovation Leaders responsible for AI strategy, investment and value realisation
- Information Security, Audit and Compliance professionals assessing AI risks and controls
- Senior Managers and Decision Makers responsible for ensuring responsible and trustworthy AI adoption
- Anyone involved in the governance, management, oversight or implementation of AI-enabled services
Purpose of the course
The purpose of this course is to provide professionals with the knowledge and practical understanding required to implement effective AI governance frameworks aligned with ITIL best practice. Learners will gain the skills needed to oversee AI-enabled services, manage associated risks, establish accountability and ensure ethical and responsible AI adoption.
You will learn how to
- Understand the core principles of AI governance within an ITIL environment
- Identify the key risks, opportunities and challenges associated with AI adoption
- Establish governance structures, roles and responsibilities for AI-enabled services
- Apply ITIL guiding principles to AI service management
- Implement ethical, accountable and transparent AI practices
- Manage data governance requirements supporting AI solutions
- Assess regulatory and compliance considerations for AI systems
- Measure, monitor and continually improve AI services
- Support organisational readiness and successful AI transformation initiatives
Benefits for you as an individual
This course will provide you with a practical understanding of how AI governance integrates with modern service management practices. You will learn how to confidently support AI initiatives, minimise operational and compliance risks, improve decision-making, and contribute to responsible AI adoption within your organisation. The knowledge gained will also enhance your professional credibility and strengthen your ability to participate in strategic AI programmes.
Benefits for your organisation
Organisations benefit from improved oversight of AI-enabled services, stronger risk management practices and enhanced trust in AI-driven decision-making. The course helps establish governance frameworks that align innovation with business objectives, improve regulatory compliance, increase service reliability and ensure that AI investments deliver measurable and sustainable value.
Introduction to AI Governance
- Understanding Artificial Intelligence and its organisational impact
- The business drivers for AI governance
- Governance objectives, principles and outcomes
- Introduction to AI governance frameworks and models
ITIL and AI Service Management
- Overview of ITIL concepts and service management practices
- The relationship between ITIL and AI governance
- Creating value through AI-enabled services
- Aligning AI initiatives with business outcomes and strategy
AI Governance Structures
- Governance operating models for AI
- Roles, responsibilities and accountability frameworks
- Decision-making structures and oversight mechanisms
- Stakeholder engagement and executive sponsorship
Risk, Ethics and Responsible AI
- Understanding AI-related risks and opportunities
- Principles of ethical and responsible AI
- Managing bias, explainability and transparency
- Building trust and accountability into AI systems
Data Governance for AI
- Data quality, accuracy and integrity requirements
- Data privacy and protection considerations
- Data lifecycle management for AI solutions
- Information governance and stewardship responsibilities
Compliance and Regulatory Considerations
- Understanding the evolving AI regulatory landscape
- Governance policies, standards and controls
- Audit, assurance and compliance activities
- Documentation, evidence and reporting requirements
AI Service Lifecycle Governance
- Governance throughout the AI service lifecycle
- Planning, design and development controls
- Deployment, operation and monitoring practices
- Continual improvement and performance optimisation
Implementing AI Governance in Practice
- Developing an AI governance roadmap
- Assessing organisational readiness and maturity
- Managing change and driving adoption
- Practical exercises, examples and implementation case studies
Additional Exam Information
- Format: Multiple-choice examination
- Duration: 90 minutes
- Exam Type: Open book
- Total Questions: 40
- Pass Mark: 70% or higher
- The examination assesses a candidate’s understanding of ITIL AI Governance concepts, principles, practices and their application in real-world scenarios.
Book Your Course
Start Date
Venue
Availability
Cost
Course confirmed - Guaranteed to run
Course Full/Limited availability
Price shown excluding VAT.
Get Started
Forget trawling through endless course catalogues – Find the training that’s right for you
Learn MoreLatest News from Quanta
Just Launched: ITIL® AI Governance
Quanta is very excited to be launching the ITIL AI Governance module with our partners at PeopleCert! ITIL AI Governance…
Read More
Service Management State of Play: All talks available to watch now.
Following the recent Service Management State of Play event in collaboration with PeopleCert, we are pleased to share the presentations…
Read More
Quanta Achieves FTG Gold Partner Status
We’re thrilled to share that Quanta Training has been awarded FTG Gold Partner status at this year’s FTG (Forces Transition…
Read More