From Goodness Algorithms to RPA Elves, explore what reinsurance leaders can learn from the North Pole’s ultimate automation strategy to de-risk their own operations. Happy holidays!

Despite the high rate of AI adoption in reinsurance, few reinsurers have successfully translated early experimentation into any kind of actual sustained enterprise value. 

Here’s what I’m proposing, based on experience and backed by research: modular AI architecture.

While the reinsurance sector may not be the backdrop for a classic horror film, it has historically battled significant internal obstacles. I dealt with five of these obstacles a couple of years ago, and my question now is, has anything changed?

AI won’t fix your claims problems unless the data, operations, and human expertise behind it are fit for purpose. Here’s how to avoid the hype and focus on what really matters in reinsurance.

Tired of chasing ROI? Discover how various digitisation frameworks use multidimensional approaches to help organisations gain value from their technology investments.

Learn how reinsurance firms can break free from maintenance-heavy run budgets to prioritise strategic development and innovation. This article explores shifting from a "keep the lights on" mentality toward value-driven technology investments that fuel long-term growth.

By comparing two leading modernisation strategies for reinsurance, this article provides a roadmap for leaders to balance operational stability with innovation by selecting the right structural and cultural components for their firm’s maturity level.

I often hear the same question from clients: 'People, clients, processes, or technology—where should we focus first?' It’s a fair ask, but the reality is, in automation, nothing exists in isolation. Read on to find out how these four 'tech avengers' must work together.