AI STRATEGY
create a unified strategy for financial and non-financial data, embedding oversight across human resources, sustainability and operational processes rather than treating it as a narrow accounting concern. This holistic approach, supported by robust foundational technology and technical guardrails, ensures that AI systems are fuelled by quality data and remain compliant as the business evolves.
Q. LOOKING AHEAD, HOW DO YOU SEE GLOBAL POLICY TRENDS SHAPING ENTERPRISE AI RISK MANAGEMENT?
ยป Global policy trends are shifting enterprise AI risk management towards a more proactive, value-oriented model that prioritises long-term viability over reactive compliance. As jurisdictions mandate assuranceready disclosures for non-financial data, such as greenhouse gas emissions, companies are forced to integrate advanced analytics and AI to identify patterns and future risks.
Digital transformation is accelerating. This evolution is driving greater alignment across the C-suite, as evidenced by the 97 % of surveyed professionals who agree that chief financial, information and sustainability officers must align around a shared data governance strategy to succeed( Workiva).
As governance frameworks mature, emerging technologies will help streamline transaction verification and meet rising expectations from both institutional investors and regulators.
aimagazine. com 95