Artificial intelligence has moved from experiment to everyday tool, and with it come questions that technology teams alone cannot answer. Who approves a model for use? How is bias detected? What happens when a vendor model changes behaviour? Without governance, organisations face regulatory penalties, discriminatory outcomes, security exposure and loss of public trust, and they also miss the value that confident, well-controlled AI adoption can bring.

This ten-day programme gives leaders and practitioners a complete route from AI strategy to a certifiable management system. The first half builds understanding of AI technologies, transformation planning, governance structures, policy and risk assessment, introducing the requirements of ISO/IEC 42001 and related frameworks. The second half moves into implementation: impact assessments, data and model lifecycle controls, testing for bias and robustness, monitoring, third-party AI, change management, internal audit and continual improvement.

Each day combines expert input with practical working sessions. Participants build the documents an AI management system needs, such as a policy, an inventory, a risk register and an impact assessment, and finish with a tailored implementation roadmap and readiness review.

At the end of the ten days, participants will be able to:

• Connect AI use cases to digital transformation strategy and measurable business value.
• Establish AI governance structures, roles, policies and approval processes.
• Interpret the requirements of ISO/IEC 42001 and plan a management system.
• Carry out AI risk and impact assessments using recognised frameworks.
• Apply controls for bias, transparency, explainability and human oversight.
• Manage data, privacy and security risks across the AI lifecycle.
• Assess and monitor third-party and generative AI tools in use.
• Plan internal audits and management reviews for an AI management system.

The programme is aimed at leaders and specialists who direct, assure or deliver AI initiatives, including:

• Chief information, digital and data officers
• Heads of AI, analytics and data science
• Risk, compliance and internal audit managers
• Legal counsel and data protection officers
• Information security and IT governance managers
• Product owners and digital transformation leads
• Policy advisers in government and regulators
• Consultants preparing clients for ISO 42001

By the end, participants will hold:

• An AI governance framework with defined roles, committees and decision rights.
• A draft AI policy and AI system inventory.
• A risk register and impact assessment template applied to a real use case.
• A mapping of ISO/IEC 42001 clauses and Annex controls to their organisation.
• A checklist for assessing vendor and generative AI tools.
• A phased implementation roadmap and internal audit plan.

Combining governance theory with working practice, the programme employs:

• Executive-style briefings on AI technology and regulation
• Document-building workshops for policies, inventories and risk registers
• Case analysis of real AI incidents and vendor failures
• A mock internal audit against ISO/IEC 42001 clauses
• Hands-on review of sample model evaluation reports
• A capstone presentation of an implementation roadmap, with peer and facilitator feedback

Participants who complete the ten days and the capstone receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.

The certificate recognises course participation and does not constitute ISO 42001 auditor certification.