Few boards would approve a major acquisition without due diligence, yet many have allowed machine learning models, chatbots and automated decision tools into core operations with no comparable scrutiny. The consequences of that gap are becoming visible: discriminatory outcomes that attract regulators, confidential data pasted into public generative tools, vendor models that change behaviour without notice and decisions that nobody can explain to a customer or a court. Directors and senior executives carry the accountability for these outcomes, whether or not they understand the technology.

The Executive AI Governance, Responsible AI & ISO 42001 Training Course is built for those who must direct and oversee AI rather than build it. Days one to five establish the essentials: what AI systems can and cannot do, the responsibilities that ISO/IEC 38507 assigns to governing bodies, responsible AI principles, the regulatory landscape, AI strategy and risk appetite, and what ISO/IEC 42001 requires of top management. Days six to ten raise the level, with executive challenge sessions on impact assessments, strategic choices about generative AI and third-party models, the design of board assurance and reporting, and a live incident simulation that tests crisis leadership.

Teaching is discussion-led and peer-driven, drawing on board papers, case files and decision exercises rather than technical detail. Each participant finishes by presenting a responsible AI charter and a two-year governance roadmap for their own institution.

On completing the ten days, senior leaders will be able to:

• Explain how AI systems create value and exposure across strategy, operations, reputation and legal compliance.
• Apply the governing-body responsibilities described in ISO/IEC 38507 to the oversight of AI in their own institution.
• Set an AI risk appetite and tolerance statements that guide management decisions on new use cases.
• Interpret what ISO/IEC 42001 requires of top management, including the AI policy, roles, objectives and management review.
• Challenge AI risk and impact assessments using the NIST AI RMF, ISO/IEC 23894 and the OECD AI Principles.
• Evaluate strategic options for generative AI, foundation models and third-party AI services.
• Design board-level assurance and reporting arrangements for AI across the three lines.
• Lead the organisational response to an AI incident, including disclosure, remediation and stakeholder communication.

This programme is aimed at people who govern or lead organisations where AI is in use or being planned, including:

• Board chairs, non-executive directors and members of board risk, audit and technology committees
• Chief executives, managing directors and executive directors
• Permanent secretaries, directors-general and heads of state agencies and corporations
• Chief risk officers, chief compliance officers and general counsel
• Chief information, chief data and chief digital officers
• Heads of internal audit and chief audit executives
• Company secretaries and governance advisers who support boards
• Senior leaders of banks, insurers, telecoms operators and health systems
• Country directors and senior managers of NGOs and development agencies

Senior leaders return to their organisations with:

• A draft responsible AI charter setting out principles, accountabilities and board expectations.
• An AI risk appetite statement with tolerance thresholds for high-impact use cases.
• A bank of probing questions to put to management, vendors and auditors about any AI deployment.
• A one-page AI governance dashboard design for regular board reporting.
• A decision framework for whether, when and how to pursue ISO/IEC 42001 certification.
• An AI incident escalation and crisis communication playbook for the executive team.
• A two-year governance roadmap with milestones, owners and resource estimates.
• A personal agenda for building AI literacy across the board and leadership team.

Sessions are designed around the decisions senior leaders actually take, and they use:

• Short, jargon-free briefings that explain the technology only as far as oversight requires
• Board paper reviews and mock committee meetings on proposed AI deployments
• Challenge sessions in which executives question project teams and vendors
• A day-long incident simulation with escalating media and regulator pressure
• Confidential peer exchange among directors and executives from different sectors
• A capstone governance package presented to a mock board

A CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy is awarded to each leader who attends the ten days and takes an active part in the simulations, challenge sessions and capstone presentation.

It records executive development in AI oversight and is distinct from ISO/IEC 42001 lead implementer or lead auditor credentials, which are awarded through separate examined schemes.