We celebrate the Annual Global Corporate Governance Day on 17 September 2025 because, in 2018, the Financial Reporting Council published the updated version of the UK Corporate Governance Code, which has become the global gold standard.
During Global Corporate Governance Day this year, we dedicate the discussions on Sustainable AI Corporate Governance to ensure that companies create long-term social value and the current state of global corporate governance that focuses on beneficial Owners, the Board of Directors, the chairman, the CEO, and stakeholders of businesses. In short, all participants for whom improving the corporate governance system is a relevant topic related to the roles, company structure, and the Governance environment.
Current challenges related to Sustainable AI Corporate Governance.
Lord Cadbury introduced the first report from the Committee on the Financial Aspects of Corporate Governance in 1992 to address the continuing concerns about financial reporting and accountability standards. Since then, the Governance recommendations have had multiple definitions and interpretations, with peculiarities depending on the country, culture, and corporate conduct. Now our current focus is on AI.
The company’s level of good governance depends on the significance and involvement/engagement of the owner or management in the business’s operations related to AI issues, implementation, execution, controlling, monitoring and reporting..
The priorities of AI
- Increasing the predominant role of the Board of Directors
- Attracting professional independent directors who can compensate for lacking AI business expertise.
- We are improving the methodological AI Governance framework.
- List and prioritise the account of AI Governance objectives.
AI implementation, execution, monitoring, controlling, and reporting of issues and concerns in the governance framework:
Global Governance Day – Key Issues, Questions, and AI Integration Focus
The Global Governance Day will address strategic governance challenges and opportunities, particularly emphasising how AI-driven systems can support implementation, execution, monitoring, control, and reporting in corporate governance. Topics will include:
- Enhancing Investment Attractiveness through Good Governance
How can strong governance structures, supported by AI-driven analytics and reporting tools, increase a company’s investment appeal and market capitalisation? - Creating Transparent, Consistent Corporate Governance Systems
How can management develop open, consistent governance frameworks that integrate AI-powered compliance monitoring, predictive risk analytics, and real-time reporting systems? - Balancing Technical Development and Financial Attractiveness
How can Boards and management leverage AI for scenario analysis, forecasting, and innovation management to sustain long-term value while remaining financially competitive? - Effective Board Dynamics and Leadership Structures
How can AI tools enhance Board meeting management, agenda setting, leadership evaluation, and group dynamics through data-driven insights and real-time performance dashboards? - Scenario Planning: CEO Succession and Team Development
If a charismatic CEO neglects leadership pipeline development, what AI-supported KPIs, progress tracking systems, and talent analytics tools should be implemented for succession planning? What strict timelines and monitoring protocols should be enforced at each Board meeting? - Defining the Roles of the Board, Chairman, and Committees
How can AI-enabled governance platforms clarify the purpose and performance of Boards, Chairmen, and committees through automated reporting, peer benchmarking, and governance scorecards? - Gender Equality, Diversity, and Inclusion Strategies
What new structures and AI-powered analytics can organisations implement to fight global gender inequality, support diversity, and identify underutilised human capital as an economic resource? - Reconciling Work, Family Life, and Inclusive Workforce Engagement
How can AI-powered workforce management and employee sentiment analysis tools help organisations identify and reduce bias, while reconciling professional and personal life needs? - Diversity in Board Composition and Selection Processes
How can organisations leverage AI-enabled recruitment platforms and governance analytics to ensure the Board selection process exceeds legal requirements and meets the business’s specific strategic needs? - Fit & Proper Approach and Independent Director Selection
Should AI-supported competency frameworks and ethical risk assessments be embedded in Board appointment processes to strengthen the fit & proper approach and independent director evaluation? - Shifting Decision-Making Powers: Board vs. Shareholders
Can good governance be defined by redistributing decision-making, and how can AI-assisted shareholder engagement platforms and real-time voting analytics support this shift? - Remuneration Policy and Shareholder Voting
How can AI tools enable transparent, data-backed ex-ante and ex-post shareholder voting processes on remuneration policies, ensuring fairness and regulatory compliance? - Shareholder Identification Rights
Should AI-enhanced financial intermediary platforms manage shareholder identification, ensuring data security, privacy, and accessibility for governance processes? - Board Governance and Emerging Risks
How can AI-driven risk management platforms support Directors and Risk Managers in identifying, monitoring, and responding to emerging risks in real time, while improving Board-level risk discussions? - Quality of Risk Conversations at Board Level
How can AI-generated risk dashboards, scenario modelling tools, and predictive analytics enhance the quality and foresight of Board-level risk conversations? - Digitalisation and Board Readiness
Are Directors and Senior Management equipped for the digital economy? How can AI-based capability assessments and digital maturity audits track and improve readiness? - Measuring Digital Business and Leadership Capabilities
What AI-driven frameworks can organisations adopt to measure and monitor progress in digital business capabilities, leadership agility, and cultural adaptability? - AI-Enabled Transparency and the Future of Governance
How will digitisation and AI implementation reshape governance practices concerning capital markets, operational transparency, performance reporting, and competitive advantage? - Emerging Trends and Innovations in Digitalisation for Governance
What are the latest AI-driven innovations reshaping corporate governance, investor relations, risk management, and audit committee operations? How should Boards prepare for and respond to these rapidly evolving trends?