Artificial intelligence (AI) has moved rapidly from experimentation to implementation across financial services. For many firms, AI is no longer a peripheral innovation topic but a core capability shaping how risks are identified, assessed and managed. As adoption accelerates, the ORX insurance members are increasingly focused on ensuring this technology is embedded responsibly, providing full transparency across areas of governance, oversight and controls; enabling these to evolve in line with existing operational risk management practices.
Based on recent ORX insurance peer discussions, progress is being made in defining and implementing AI governance frameworks. The real differentiator is how effectively these frameworks are embedded in day-to-day risk processes and translated into consistent, practical actions. In this blog, we look at how AI governance frameworks are being developed and embedded to support consistent, practical risk management.

