Insights
Innovation: Is Reinsurance Doing It Wrong?
Innovation is reshaping reinsurance, but digitisation for the wrong reasons can do more harm than good. Let’s explore how the industry can adapt effectively to increasing complexity and disruption.
How To Digitise: McKinsey's Stairway to Digital Excellence and Other Signs You Should Take it Slow
Rushing into digitisation can be tempting, but a steady approach leads to lasting success. Drawing on McKinsey’s research, let’s explore the four essential steps to achieving digital excellence in reinsurance claims.
Can Standardisation Really Work in Reinsurance?
Standardisation helps streamline communication and facilitate agreements between reinsurers and ceding companies. But, is there any evidence of standards actually working for the industry? Read on to find out.
Three Strategies for Seamless Collaboration Between Business and Tech in Reinsurance Operations
Are your business and tech teams on the same page? If you've implemented digitisation in your reinsurance company, you may know the strain it can have on both your business people and the tech team when one doesn't understand or respect the other and vice versa.
Collaboration in Claims: Enhancing Communication between Insurers and Reinsurers
Clear communication is the foundation of trust and effective risk management in reinsurance. Read on to discover why it matters and how it impacts an evolving industry.
Reinsurance in Review: Lessons from 2023 and Strategies for the Future
Last year brought challenges from cyber threats to climate change, and they aren’t disappearing anytime soon. Here’s a look at what we faced and the lessons we can carry forward.
Five Scary Mistakes I’ve Seen Technology Companies Make: A Halloween Tale
A halloween special looking at some scary mistakes and costly outcomes when technology goes wrong!
Survivorship Bias in the Reinsurance Industry
In considering how, all too often, reinsurance companies look for the easiest and fastest way to digitise, it got me thinking about the pitfall of survivorship bias.