2026-10-06 · Source: Duck Creek
Summary in 3 Points • Neuro-symbolic AI combines unstructured information interpretation with deterministic insurance logic for better decision-making. • AI must produce a traceable record of evidence, policy logic, and approvals behind each decision. • This technology helps insurers apply AI across regulated workflows while maintaining transparency and control. --- In a recent commentary, Duck Creek's CTO Rajesh Raheja discusses the importance of explainable AI in insurance. He highlights that neuro-symbolic AI merges unstructured information interpretation with deterministic insurance logic, enabling insurers to make informed decisions while ensuring compliance and transparency. This approach allows for a traceable record of the evidence and policy logic behind each decision, which is crucial in a heavily regulated industry. Raheja emphasises that the integration of explainable AI can modernise operations and enhance decision-making processes within insurance firms. By retaining human oversight and control, insurers can confidently apply AI across various workflows, ultimately leading to improved outcomes. This innovation is particularly relevant for roles such as Compliance and Risk Managers, who must navigate the complexities of regulatory requirements while leveraging advanced technologies. Neuro-symbolic AI enhances decision-making transparency in insurance, crucial for compliance in regulated workflows.
Neuro-symbolic AI enhances decision-making transparency in insurance, crucial for compliance in regulated workflows.