Catastrophic events are increasing in severity, yet many insurers still rely on fragmented exposure data spread across bordereaux, underwriting systems and multiple modelling tools. This inconsistency slows decision-making and limits visibility of risk.

EXL helps insurers consolidate exposure data into a single, trusted and analytics-ready environment. With unified and standardised data, organisations gain clearer insight into accumulations, stronger capital efficiency and faster, more confident decisions before, during and after major events.

GenAI-driven enrichment further improves data quality by harmonising COPE details, occupation codes and model outputs. This reduces manual effort, enhances model reliability and supports consistent reporting across underwriting, portfolio management, reinsurance and finance.

A centralised exposure dataset also enables automated MI and KPIs, ensuring all teams operate from the same version of the truth. From real-time accumulation checks to improved treaty design and event response, insurers benefit from greater agility and resilience.

EXL provides the data foundations and intelligence needed to transform CAT risk management—turning exposure data into strategic advantage. 

Discover the full framework for unified exposure data and modern CAT risk decisioning.