Equip people to make and oversee better technology decisions.
Governance gives people a clear basis for deciding what to invest in, who is accountable and what evidence is needed to proceed. AI adds questions about autonomy, reliability, information use and human oversight.
Our programs help boards, executives and practitioners understand their responsibilities and design governance arrangements proportionate to their organization.
Who these programs support: board and committee members, executives, CIO functions, governance teams, PMOs, AI leaders, risk and compliance professionals and internal assurance teams.
Certification Pathways
Recognized governance qualifications for individuals. Entry requirements, examination arrangements and schedules are confirmed before booking.
COBIT Foundation
Develop an understanding of COBIT 2019 and the governance and management of enterprise information and technology, and how governance supports organizational objectives.
Best suited to: Business and IT managers, governance professionals and assurance teams
Learning focus: Principles, governance components, objectives and performance management
Outcome: A shared foundation for governance design and improvement discussions
Format: Training and examination arrangements confirmed on request
COBIT Design and Implementation
Build on COBIT knowledge to understand how governance systems can be tailored and improved, focusing on design factors and the implementation lifecycle.
Best suited to: Experienced governance practitioners and implementation teams
Learning focus: Context, governance design, implementation and improvement
Outcome: A structured basis for an organization-specific governance approach
Format: Entry requirements and arrangements confirmed before booking
AI Project Governance Framework Foundation
Understand how to govern the use of AI in project and programme work. AIPGF connects AI oversight with existing project governance.
Best suited to: Project managers, PMOs, sponsors and oversight roles
Learning focus: AI governance concepts, responsibilities and proportionate application
Outcome: A shared understanding of governance for AI-assisted project work
Format: Schedule and current prerequisites confirmed on request
AI Project Governance Framework Practitioner
Develop the ability to tailor and apply AIPGF to a project or programme context.
Best suited to: Eligible project and governance practitioners
Learning focus: Contextual application, roles and governance improvement
Outcome: Greater confidence adapting the framework to project needs
Format: Schedule and current prerequisites confirmed on request
ISO/IEC 42001 AI Management Systems Foundation
Develop a foundational understanding of an AI management system and the responsibilities involved in managing AI within an organization. An entry point into ISO/IEC 42001.
Best suited to: AI, governance, risk, compliance and management system professionals
Learning focus: AI management system concepts and organizational responsibilities
Outcome: A structured foundation for participating in AI management initiatives
Format: Course and examination arrangements confirmed on request
ITIL AI Governance (Version 5)
Explore practical governance for AI-enabled products, services and operations, including how organizations assess AI governance needs and establish proportionate oversight.
Best suited to: AI governance professionals, service leaders and technology managers
Learning focus: Governance requirements, controls, oversight and continual improvement
Outcome: Greater confidence connecting responsible AI governance with service and product decisions
Format: Eligibility, schedule and examination arrangements on request
AY&R Professional Programs
Applied programs that turn governance intentions into working responsibilities and decisions.
Technology Governance for Boards and Executives
Help governing bodies ask better questions about technology performance, investment and accountability. ISO/IEC 38500 provides a reference for discussion alongside your own governance context.
Topics: Direction, oversight, delegated authority, investment, risk and reporting
Practical output: A draft set of oversight questions and a governance reporting outline
Format: Half-day or one-day executive session
AI Governance Operating Model and Controls
Translate AI governance intentions into working responsibilities and decision points. Participants examine how a proposed use case moves from intake through review, deployment and monitoring.
Topics: AI inventory, ownership, risk triage, approval authority, human oversight, suppliers and escalation
Practical output: A draft governance operating model and use-case review checklist
Format: Three days
COBIT Capability Assessment and Improvement
Practice defining assessment scope, reviewing evidence and turning findings into achievable improvement actions, with a focus on consistent and useful assessment results.
Topics: Objectives, evidence, assessment judgement, reporting and improvement sequencing
Practical output: A sample assessment record and prioritized improvement plan
Format: Two days. An AY&R workshop, separate from the COBIT certificate examinations
Choose the governance focus you need.
How do we govern enterprise information and technology?
COBIT and executive technology governance.
How do we establish an organizational AI management system?
ISO/IEC 42001 learning and implementation workshops.
How do we govern AI-enabled products and services?
ITIL AI Governance.
The routes address different responsibilities and can be combined in a wider organizational pathway.
Common Questions
Can executives and practitioners study together?
Leadership briefings and practitioner workshops can form one pathway, with content adapted to the decisions each audience owns.
Does a course certify our organization?
Professional qualifications relate to individuals. Organizational certification requires a separate assessment process by an appropriate certification body.
Related programs: IT Service Management · Standards, Risk and Cybersecurity · Project, Change and Agile Delivery