Swiss Re

In the life and health reinsurance sector, underwriters rely on highly specialized knowledge guides to assess risk and make sound decisions. Swiss Re's Life Guide is considered the industry's top-ranked underwriting manual, but accessing its depth of insight required time-consuming manual searches through dense reference material. As reinsurers face pressure to accelerate decisions and deliver greater value to ceding insurers, this friction in knowledge access became a meaningful bottleneck. The inability to quickly surface relevant risk perspectives limited underwriters' capacity to handle complex cases efficiently, reducing both throughput and the quality of insights available at the point of decision.

Swiss Re developed Life Guide Scout, a Generative AI-powered underwriting assistant built on Microsoft Azure OpenAI Service, integrated directly with the Life Guide underwriting manual. Rather than replacing the manual, the tool adds a conversational query layer — allowing insurers to ask natural-language questions and receive contextually relevant guidance drawn from Swiss Re's proprietary risk knowledge base. The initial deployment launched in English as a controlled pilot, with a broader rollout planned across markets. By grounding the AI on Azure's secure, compliant cloud infrastructure, Swiss Re ensured the solution met the strict data governance and regulatory requirements inherent to insurance and reinsurance operations.

Life Guide Scout meaningfully improved how insurers access and apply Swiss Re's underwriting expertise. Key outcomes include:

• Faster knowledge retrieval: Underwriters can query the full depth of Life Guide in a fraction of the time previously required through manual lookup.
• Deeper decision support: The AI surfaces relevant risk perspectives and nuances that might be missed in a standard manual review.
• Improved usability: The conversational interface lowers the barrier to accessing complex actuarial and medical underwriting content.
• Secure deployment: The Azure foundation ensures compliance with insurance-sector data requirements, enabling enterprise-grade adoption with confidence.

• Proprietary expert knowledge — such as underwriting manuals — becomes a competitive differentiator when wrapped in an accessible AI interface that clients can query directly.
• Generative AI performs well as a retrieval and synthesis layer over structured knowledge bases, improving efficiency without displacing human underwriting judgment.
• Piloting in a single language before broader rollout reduces deployment risk and allows iterative refinement in a regulated context.
• Regulated industries should anchor AI deployments on hyperscale cloud platforms (e.g., Azure) to satisfy compliance, auditability, and data residency requirements from day one.