IPT compliance: A guide for insurers

whitePaper | August 20, 2021

COVID-19 brought sweeping implications for all industries, but nowhere more so than in the health insurance industry. And now, firms continue to face challenges on multiple fronts as they work to meet the expectations of both members and employees. At the peak of disruption, the focus was on ensuring business continuity. These days efficiency initiatives are cropping up as insurers adapt to the new normal.

whitePaper | June 23, 2022

We asked 2,000 insurance consumers from around the world what they feel P&C insurers are doing well, what their buying preferences are, and in what areas the industry can improve. The in-depth feedback and rich data about how consumers are engaging with the industry, their willingness to switch providers and what they think of insurance innovations offer significant strategic opportunities for carriers regionally and globally.

whitePaper | April 5, 2022

As a heavily regulated, intensively bureaucratic sector – a business founded on caution – insurance has always been slow to adapt. But a confluence of historic challenges is forcing the industry to undergo arguably the most radical change in its history.

whitePaper | May 3, 2022

The insurance industry is no stranger to technological change, whether it was forced to change or inspired by grander visions. For decades, the insurers that led the industry ranked as some of the most technologically innovative operations in the world. But the exact technologies that used to showcase the C-suite’s willingness to adopt cuttingedge solutions are now holding them back.

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 20, 2023

Data-driven insurance is an enterprise-wide business model that generates a strategic advantage in the insurance ecosystem. Using disruptive artificial intelligence (AI) to analyze data can lead to innovation in operational processes and in the development of new products and services.