There is an increasing AI use in insurance‑50% in non‑life, 24% in life. To address emerging risks, undertakings must clarify supervisory responsibilities, maintain full accountability, and implement proportionate governance. Risk managers should conduct impact‑based assessments, emphasizing data sensitivity, consumer impact, and financial exposure. Strong governance includes fairness, data quality, transparency, cybersecurity, and human oversight. Oversight extends to third‑party providers, with contractual safeguards required. AI systems must align with existing frameworks like ERM and POG, ensuring traceability, explainability, and resilience throughout their lifecycle. Supervisory convergence across the sector remains a key regulatory goal.