Swiss Re transforms underwriting with Azure-powered Magnum
Swiss Re has integrated its Magnum solution with Azure to transform the underwriting processes for life and health insurance. The system automates the assessment of biometric risks, streamlining complex underwriting workflows. By using data from multiple sources, including medical history and applicant risk profiles, insurers can offer faster, more tailored policy decisions. The solution connects seamlessly with POS systems, enabling on-the-spot policy evaluations by insurance agents. This innovation not only improves customer experience but also increases insurance penetration in untapped markets. Azure's robust security and reliability were key factors in enabling this successful transformation.
- Organization
- Swiss Re
- Industry
- Insurance
- Location
- Switzerland
- Published
- April 2025
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 5
- 1Automated Life & Health Insurance Underwriting
- 2Real-time Policy Decisioning for Insurance Agents at POS
- 3Biometric Risk Assessment using AI/ML
- Manual underwriting processes slow policy approvals and increase costs
- Fragmented data sources make comprehensive risk assessment difficult
- Growing demand for faster, tailored insurance decisions by customers
- Insurers unable to efficiently serve smaller or untapped markets due to process complexities
- High security and compliance requirements for sensitive health and insurance data
- Integrated Magnum's biometric risk assessment engine with Azure cloud services
- Leveraged Azure AI/ML for automated underwriting and faster, data-driven decision-making
- Connected Magnum with client POS systems for real-time, in-branch policy evaluations
- Used Azure's security, availability, and reliability features to ensure compliance and data protection
- Reduced underwriting process time from days to minutes
- Increased policy conversion rates for clients
- Expanded insurance penetration in previously untapped or underserved markets
- Improved accuracy and consistency in risk assessment and policy pricing
- Enabled modular, scalable SaaS offering for insurers of all sizes
Sources & evidence3
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/3 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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