Agents

Three industry leaders share insights and advice on ways insurance companies can leverage new technology to help streamline processes and prevent employee burnout.

Digital Insurance reached out to insurance professionals to ask how they define a copilot.

Where life insurance can evolve and one key effort agents should continue to prioritize.

Machine learning capabilities can have a critical purpose for agents in roles that are both repetitive and complex.

The first step: every agency needs a disaster plan which outlines a course of action if an event occurs. Owners should identify the most likely disasters and determine key steps to take. Will employees evacuate or stay put? How will they communicate with customers? How can they begin working again?

Three steps to set the stage for easier connectivity to the tech platforms that agents can use to quote commercial insurance.

The Women in Insurance Leadership honoree also launched Cake Insure, a technology subsidiary of Pinnacol that allows small business owners to provide workers' comp insurance for employees.

As the rest of the world becomes increasingly connected, consumers expect all aspects of their lives to be on-demand and seamlessly integrated into digital platforms.

Much of MGAs' success can be attributed to how versatile they can be.

The insurance industry will lose half its workforce between now and 2036 as almost 400,000 employees retire.

Agency networks and associations provide benefits historically harder to come by as a standalone business or agency.

Five best practices can assist in selecting and integrating generative AI data.

CoverForce, a new insurtech API, has partnered with the ISU network for independent agents to help its members reach new customers.

He shares how new technologies like machine learning and AI are shaking up the industry and the role of insurance agents.

It is important to leverage human-in-the-loop processes, rather than automating them away, and to surface relevant information for agents to help contextualize interactions with policyholders.

Mike Sha, CEO of SigFig writes that agents will need to go beyond insurance to offer more advice on every phase of the financial journey.

Half the insurance workforce will retire over the next 15 years and the key to surviving the shift will be capturing, sharing and scaling the institutional knowledge of their most experienced producers.

The best carriers provide agents with the tools that allow prospective customers the option to shop via chat, text and even in-app communications channels.

Alison Borenstein, director of data science, Assurance IQ, shares three valuable lessons after years of building machine learning technology for agents.

The MGA market in the P&C insurance industry is experiencing significant changes, driven by trends such as growth in the excess and surplus space, prioritizing speed to response over speed to market, and the emergence of parametric insurance.