Artemis ILS NYC 2020

Menu

Reinsurance News

ArgoGlobal eyes gig-economy with Italian insurtech partnership

16th January 2019 - Author: Charlie Wood

ArgoGlobal Assicurazioni S.p.A, a subsidiary of Argo Group International Holdings, is providing gig-economy workers throughout Italy with a pay-as-you-go insurance solution by teaming up with specialised broker Axieme.

ArgoGlobalCrucially, Axieme is connected to the digital platform Jobby, which enables users to activate their insurance when they accept a job.

“The growth of the gig economy has created a shifting and unpredictable employment environment in which workers lack the traditional protections supplied by employers against unexpected events such as sickness, injury and civil liability,” said Mario Borrelli, Underwriting Director of ArgoGlobal Assicurazioni S.p.A.

“Our innovative collaboration with Jobby and Axieme, which relies on cutting-edge digital technology, offers gig-economy workers across Italy with steadfast, trustworthy insurance coverage combined with pay-as-you-go convenience.”

Interestingly, this model offers policyholders part of their premium back for not making a claim, an approach known as ‘Social Insurance’ which supposedly encourages the insured to adopt more prudent attitudes.

To date, more than 4,500 hours of coverage have been provided to some 600 gig workers via this partnership.

Recent Reinsurance News

Getting your daily reinsurance news from Reinsurance News is a simple way to receive only the reinsurance industry news that matters, delivered directly to your email inbox.

  • Only email is mandatory, but the more you tell us about yourself the better we can serve you in future!
  • This field is for validation purposes and should be left unchanged.

By submitting the form you are giving your consent to be emailed by us.

Read previous article:
P&C reserve development risk to increase: Morgan Stanley

Analysts at Morgan Stanley believe that the risk of adverse development in property and casualty (P&C) re/insurance reserves is likely...

Close