Artificial intelligence has become one of the defining topics in insurance and reinsurance. New AI-powered solutions appear almost daily, promising faster underwriting, smarter claims handling, document intelligence, and operational efficiency.

When technology leaders talk about innovation in reinsurance, the conversation almost always revolves around underwriting.

When operational efficiency is discussed in reinsurance, the conversation usually centers on underwriting. Organizations focus on submission volumes, turnaround times, workflow automation, and ways to reduce manual work across underwriting teams. These discussions are important, but they often overshadow another area that has a significant impact on performance: reporting.

Artificial intelligence has become one of the dominant conversations across the insurance and reinsurance market. Nearly every platform now promises faster underwriting, smarter workflows, automated intake, or more efficient operations. In many cases, AI is presented as the next major transformation of the industry.

Spreadsheets have been part of reinsurance operations for decades. They are familiar, flexible, and easy to adapt, which is exactly why teams continue to rely on them across bordereaux management, submission tracking, reporting, portfolio analysis, workflow coordination, and financial processes.

The insurance and reinsurance market is currently saturated with conversations around automation and AI. Every platform promises faster underwriting, automated decision-making, and greater operational efficiency. On the surface, it sounds like the obvious answer to a familiar operational challenge.

Reinsurance organizations are not struggling with a lack of systems. They are struggling with the growing complexity between them.

Underwriting workflow automation: the hidden bottleneck behind lost deals in Reinsurance

Bordereaux automation is quickly becoming a priority for modern reinsurance operations, yet many organizations still rely on outdated and manual workflows.