Helping Feed the World

Posted April 17, 2017 by Erin in Agribusiness, Featured, News | 0 comments

To watch the video, click here.

Argo Group has a role in protecting vital industries across the globe, from agriculture to manufacturing and hundreds of others. One reason for Argo’s success in so many sectors has to do with the partnerships it forms, prompted by its emphasis on collaboration with clients.

One such collaboration is helping Cattle Empire, one of the nation’s largest cattle-feeding operations. Argo, in partnership with broker Cline Wood, a Marsh & McLennan Agency LLC company, covers the herd and property against loss.

Lucas Christensen, chief financial officer for Cattle Empire, grew up on a cattle ranch in Montana. He understands the importance of having an insurance partner dedicated to the concept of sustainability.

Christensen recalls a bumper sticker on the car he drove as a teenager when he fed the animals. It read: “Ranchers: the original environmentalists.”

“I think that’s something I grew up understanding and learning that we live off the land and off the animals, and so it’s in our best interests to take care of those,” Christensen says.

He appreciates the role that Argo plays in keeping his operation running smoothly.

“More so than the monetary recovery of loss, which is important, is the speed in which we are helped,” Christensen says. “If we have a major loss, we need partners with us that will stand by us and be ready to aid us at a moment’s notice.”

Article originally published on Argolimited.com, to view the full article click here.

This document is not intended to be taken as advice regarding any individual situation and should not be relied upon as such. Marsh & McLennan Agency LLC shall have no obligation to update this publication and shall have no liability to you or any other party arising out of this publication or any matter contained herein. Any statements concerning actuarial, tax, accounting or legal matters are based solely on our experience as consultants and are not to be relied upon as actuarial, accounting, tax or legal advice, for which you should consult your own professional advisors. Any modeling analytics or projections are subject to inherent uncertainty and the analysis could be materially affective if any underlying assumptions, conditions, information or factors are inaccurate or incomplete or should change.

 

 

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