Implementing Integrated GRC & AI Governance Frameworks Masterclass
Harnessing King V, ISO 42001 and the COSO Framework for Risk Oversight, Assurance and Board Accountability

Course Overview
This masterclass positions King V as the governance anchor, keeping the
programme's architecture at the level of leadership, ethics, accountability,
value creation, sustainability, integrated thinking and stakeholder trust
where board-level decisions are made. ISO 42001, integrated GRC, the
COSO framework and the Three Lines Model provide the supporting
governance architecture that operationalises King V's principles into
practical controls, assurance frameworks, risk management disciplines and
implementation roadmaps. The result is a governance programme that
bridges strategic principle and operational execution, equipping
professionals to govern AI responsibly, assure it credibly and report it with
confidence to boards, investors and regulators.
Artificial intelligence is no longer a peripheral technology consideration — it is a mission-critical governance challenge affecting strategic decisions, stakeholder trust and regulatory compliance across energy, financial services, healthcare, municipalities and public entities. The emergence of smart grids, digital twins, predictive maintenance, AI-enabled operational systems and escalating cybersecurity risks has made structured AI governance an organisational imperative that boards, executives and governance professionals can no longer defer. Organisations that govern AI effectively protect enterprise value, maintain stakeholder confidence and position themselves ahead of an increasingly demanding regulatory environment. Those that do not expose themselves to ethical failures, reputational damage, control breakdowns and regulatory liability
Artificial intelligence is no longer a peripheral technology consideration — it is a mission-critical governance challenge affecting strategic decisions, stakeholder trust and regulatory compliance across energy, financial services, healthcare, municipalities and public entities. The emergence of smart grids, digital twins, predictive maintenance, AI-enabled operational systems and escalating cybersecurity risks has made structured AI governance an organisational imperative that boards, executives and governance professionals can no longer defer. Organisations that govern AI effectively protect enterprise value, maintain stakeholder confidence and position themselves ahead of an increasingly demanding regulatory environment. Those that do not expose themselves to ethical failures, reputational damage, control breakdowns and regulatory liability
Why you Can’t Miss this Event
This masterclass combines structured framework analysis with hands-on governance application. Participants work through group exercises, workshops, risk assessments and case study analysis —building real governance outputs across every session. Each day is designed around practical construction: mapping framework alignments, designing accountability structures, developing control frameworks and stress-testing governance decisions against real organisational scenarios. Participants leave with fifteen immediately applicable governance toolkits and a 90-day AI governance roadmap ready for organisational implementation.