How should financial mutuals approach AI adoption?
Financial mutuals should approach AI adoption as a governed business transformation, not simply a technology experiment. The priority is to establish clear controls around data, security, compliance, accountability and cost before scaling AI across the organisation.
AI was a major topic throughout AFM 2026, reflecting both growing investment in the technology and increasing caution about how it is adopted.
AI offers clear opportunities to improve efficiency, automate processes and enhance member experiences. However, concerns remain around automated errors, security, regulatory compliance, accountability and unexpected cost.
A recurring theme was the need to establish effective governance before accelerating adoption. Standards such as ISO/IEC 42001 can provide a structured framework for AI management, while ICO guidance remains central to data protection, transparency and accountability. The practical challenge is applying these requirements consistently across business processes, cloud platforms, applications, data and financial controls.
Many insurers are still developing the governance structures needed to move
confidently from experimentation to wider AI adoption. Specialist technology
partnerships can help by combining expertise across data, cloud, security, quality engineering and AI governance to create secure, scalable foundations.