Expert analysis on AI adoption, automation strategies, and digital transformation in global reinsurance markets.
As we move through 2025, AI adoption in reinsurance has reached an inflection point. 88% of organizations now use AI regularly, but only 7% have successfully scaled. Here's what's changing.
Bordereaux reconciliation consumes thousands of accountant hours annually. Learn how leading reinsurers are automating this critical process and achieving 95% accuracy with AI agents.
The Lloyd's market has made digital transformation a strategic priority. After years of pilots, which technologies are actually delivering results in 2025?
Treaty reinsurance pricing involves complex analysis of loss runs, exposure data, and market conditions. AI automation can reduce pricing time by 70% while improving accuracy.
78% of reinsurers now use ML in their CAT models, up from 62% in 2022. Learn how AI is improving accuracy for climate-related and emerging risks.
The January 2025 renewal season saw record use of AI for treaty analysis and pricing. Reinsurers using AI completed renewals 50% faster than competitors.
Solvency II reporting consumes enormous resources. Learn how AI agents are automating data collection, validation, and report generation for EU reinsurers.
Cyber reinsurance lacks historical data for traditional modeling. AI agents analyze alternative data sources to assess cyber risk and price coverage accurately.
Parametric insurance pays based on measured events, not actual losses. AI agents monitor trigger conditions and automate claims processing for near-instant payouts.
Claims leakage from fraud, errors, and duplicate payments costs reinsurers billions. AI agents analyze claims patterns to detect anomalies and prevent overpayment.
Reinsurance portfolio management involves complex tradeoffs between risk, return, and capital efficiency. AI agents optimize these decisions to achieve 22% ROE improvement.
The retrocession market is opaque and complex. AI agents analyze pricing trends, capacity availability, and counterparty risk to optimize retro purchasing.
Emerging markets offer growth opportunities but complex regulatory requirements. AI agents automate compliance and accelerate market entry for reinsurers.