Risk managers are now more involved than ever in integrating Enterprise Risk Management (ERM) with other risk domains and the business at large. However, the accelerating demands of AI introduce complexities that cannot be ignored. Integrated Risk Management (IRM) technology emerges as a critical tool, providing greater visibility and understanding of risks to drive actionable change.

The IRM approach replaces the traditional, siloed GRC model with a unified framework. By transitioning to IRM, organizations can enhance strategic decision-making, increase operational efficiency, and gain a complete view of risks across the enterprise. This transition is not just about adopting a new framework; it's about unlocking the value of risk management as a strategic asset.

In my previous article on Autonomous Integrated Risk Management (IRM), I explored how AI agents are driving IRM into a new era of automation. With industry leaders like ServiceNow and Salesforce making significant strides in the AI agent market, we are witnessing a transformative moment for business technology. These advancements signal a shift in automation capabilities and present a massive opportunity to develop AI agents specifically for autonomous IRM capabilities.

As sustainability reporting becomes increasingly critical for businesses, preparers are faced with new challenges and opportunities. The voluntary application of the International Sustainability Standards Board (ISSB) Standards, specifically IFRS S1 and IFRS S2, offers a framework for companies to disclose sustainability-related financial information, even ahead of regulatory mandates. To support companies, the IFRS Foundation has published Voluntarily applying ISSB Standards—A guide for preparers. This guide published provides companies a pathway to communicate their progress in aligning with these standards, supporting investor decision-making by offering transparent, comparable, and reliable information on sustainability risks and opportunities.