Motor insurance: Acquiring and retaining the right customers in a post COVID-19 world

whitePaper | October 20, 2022

The pervasiveness of examples of AI in popular culture clearly illustrates that we humans are fascinated with the idea of artificial intelligence and its various transformative implications. Just imagine a world of computers with consciousness, robots with feelings and everything in between. And while Hollywood’s perspective on AI typically leans toward the fantastic, it represents an interesting parallel to the business world. From the boardroom to the shop floor, there is a rapidly growing interest in AI’s potential to transform the very way we do business. The insurance industry is no different, and in many ways is an ideal candidate for transformation driven by artificial intelligence.

whitePaper | September 26, 2022

CRIF has been supporting the UK insurance market for over 25 years and has built up solid know-how in fraud patterns, use cases and fraud prevention. This A to Z insurance fraud guide aims to bring together all our research and experience in the field of insurance fraud, all in one place.

whitePaper | June 16, 2022

Data has always been an important asset in the insurance industry, which is largely built on algorithms and financial models. Today, that is truer than ever before. Data can be analyzed to provide insurers with deeper business insights and the ability to target the right customers through the right channels with the right offerings in the right sequence. It also has opened the door to a growing group of digital natives and insurtechs that bring innovative ideas and solutions to help accelerate and improve the customer journey. Today, the advent of artificial intelligence (AI) is increasing the importance of data across the industry. AI is widely recognized for its potential to bring greater efficiency and innovation to the entire insurance value chain, from customer acquisition to claims processing, and for all stakeholders, including customers, agents and employees. However, effective AI depends on current, accurate and relevant data. AI is key to competitiveness, and data is key to AI.

whitePaper | February 9, 2023

The main objective of this analysis is to understand and identify current requirements and challenges faced by operators of essential services (OESs) when contracting cyber insurance. Accordingly, the aim of the analysis is to provide recommendations to policymakers and OES on possible ways to face these challenges. The work is particularly focused on the analysis of OESs as acquirers of cyber insurance products and services.

whitePaper | August 25, 2022

From climate change to Covid-19, shifting customer demand to ever-evolving regulatory compliance, the challenges are ongoing and today present some of the biggest barriers to success faced by the insurance industry. The sheer amount of upheaval has been unprecedented, and its pace is only accelerating. It comes as no surprise that as a result, 64% of global insurance CEOs plan to significantly increase their digital transformation investment over the next three years.

whitePaper | March 14, 2022

If you want to see the influence that insurtechs are having on how insurance will be sold in the future, look no further than Lloyd’s of London, which has been about as technologically behind as an institution can be. Brit Ltd. announced in May 2020 that, in collaboration with Google, it has created Ki, a new syndicate that will be part of Lloyd’s, that “will aim to significantly reduce the amount of time and effort taken for [commercial] brokers to place their [excess] capacity, creating greater efficiency, responsiveness, and competitiveness.” The Ki platform, which will launch in 2021, will be cloud-based, able to be accessed by brokers directly, and involve algorithms able to evaluate Lloyd’s policies.