INTX Insurance Software, a provider of fully integrated core solutions for the entire P&C insurance policy lifecycle, aims to revolutionise ceded reinsurance management with its newly launched solution, INTX ReinsureConnect.
This platform “modernises how carriers handle complex ceded reinsurance, from treaty and facultative management to recoverable tracking and audit,” INTX stated.
INTX ReinsureConnect replaces fragmented spreadsheets and manual processes with a centralised system that seamlessly integrates with a carrier’s existing policy, billing, and claims system.
It automates the entire ceded reinsurance lifecycle managing multi-layer programs, loss corridors, commissions, claims, and accounting.
The solution supports all treaty types including proportional, non-proportional, facultative, and retrocessions; and it is now available for immediate implementation.
Robert Lewis, CEO of INTX Insurance Software, said: “We’ve heard loud and clear from insurers that they need a better way to manage reinsurance. We are addressing that need with INTX ReinsureConnect: a zero-cost, fast-to-implement solution that delivers accuracy and flexibility.
“By bringing clarity and control to a historically complex process, it turns Reinsurance into a true strategic lever; helping insurers manage volatility, optimize capital, and fuel growth.”
In addition to automating processes, the solution simplifies compliance with regulations like Schedule F and Solvency II, making regulatory reporting a native function.
One-click bordereaux generation, audit-ready data trails, and dynamic accumulation controls monitor exposure in real time to protect capital positions and improve decision-making.
INTX ReinsureConnect also enhances interoperability across the reinsurance ecosystem. Open APIs and out-of-the-box connectivity enable seamless data exchange with reinsurers, brokers, and Lloyd’s syndicates.
Fully LLM- and AI-ready, the platform feeds complete, accurate data into predictive models, actuarial engines, and underwriting tools, reducing model risk, and boosting confidence in decision-making.
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