Reported impact
Business outcome
Munich Re reports that the CoPilot improves quality, accuracy, and consistency in product design, reduces time and resources needed for implementation, increases usability through natural-language interaction, and helps insurers speed time to market while lowering cost and effort.
- Cost Reduction
- Customer Experience
- Productivity Improvement
- Speed to Market
Solution
Munich Re implemented REALYTIX ZERO CoPilot as a generative AI assistive function inside its cloud-based REALYTIX ZERO underwriting platform to automate insurance and reinsurance product building. Product designers and developers enter natural-language prompts and required parameters in a chat-style interface, and the CoPilot answers requests step by step during implementation. Its suggestions can be transferred directly into the REALYTIX ZERO product studio, where users configure or adapt products without needing special IT or coding skills. REALYTIX ZERO then serves as the operational environment for digital product configuration, policy and document setup, reporting, and API-based integration with other systems. The source describes prompt-driven guidance, conversational assistance, no-code/low-code implementation, and platform integration, but it does not disclose the underlying model provider, storage architecture, or internal data management components.
Data flow
Underwriters and product designers enter natural-language prompts and product parameters into REALYTIX ZERO CoPilot. The generative AI function interprets the request, generates implementation suggestions, and lets users transfer them directly into the REALYTIX ZERO product studio. Within the cloud-based platform, those configurations are used to build or adapt products, documents, policies, and notifications, with APIs connecting the setup to other systems.