5 ways new tech and AI can bolster your insurance career and business

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The workforce doesn't look much like it used to. In recent years, the embrace of remote work options and the development of new technologies to streamline processes has led to new opportunities and efficiencies. 

This is especially true in the insurance industry, where technology has helped to make claims processing more efficient, as well as provide more personalized customer experiences. While some may argue that technology, specifically artificial intelligence, is eliminating jobs, technology can create new career opportunities for those in tech, while reducing burnout.

The insurance sector places a strong focus on early career programs for its young professionals, and the industry has demonstrated a willingness to embrace talent that's taken a nontraditional career path. Life experience, licensing and a proactive attitude can help open doors to apprenticeships, intern programs and independent contractor roles for young employees starting out in the field.  

An increased demand for tech talent in insurance is leading employers to actively recruit professionals and young industry entrants with existing technology skills. 

"The learning curve is steep but rewarding, as it equips young professionals with a desirable skill set as well as evidence of their technical acumen that can be leveraged by any industry," Douglas Dell, vice president and executive leader of learning and development for Sedgwick, wrote in a recent op-ed for Digital Insurance. "Digital natives quickly become proficient in these complex systems and this exposure hones their critical thinking skills. It also allows them to play a crucial role in suggesting improvements and advancements to these systems."

Read more: Top 4 P&C insurance trends for young professionals in 2024

Burnout is inevitable in any field, but it is often especially seen in call center employees in the insurance sector. These employees are the main point of contact with customers as they are facing problems including accidents, home damage, illness and even the death of a loved one. 

Implementing AI in this part of the insurance industry is a possible solution to burnout and call center employee attrition, according to Jennifer Lee, president and COO of Intradiem. By utilizing AI in their own work, call center employees can help eliminate some of the more tedious parts of their job, giving them the ability to focus on better customer service. 

Leveraging AI in a call center as a whole can also help burnout become more visible to supervisors, as struggling employees might fall under the radar. Machine learning tools can alert management that an employee is struggling, while also suggesting an appropriate solution. In the call center example, it may be something as simple as recommending a wellness break or the employee taking the rest of the day off, or it may be more involved, such as suggesting training for a specific action causing the employee's struggles. 

Adding AI to the workforce can be beneficial for all. "In the short term, they can help agents have a better workday, feel more comfortable with their tasks and improve their employer perception," according to Jennifer Lee, COO of Intradiem. "On the management side, they can not only offer deeper visibility into employee wellness but also automate the task of monitoring it – reducing the possibility of attrition well before it's perceptible by humans. In the long term, the data gathered from burnout reduction efforts can strengthen operational processes throughout the employee lifecycle. 

Read more: Attracting talent to a digital insurance market

Read more takes from industry insiders about the tech-driven changes occurring in the insurance workforce, and how organizations can take advantage to grow business and engage talent. 

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How the digitizing of insurance claims is expanding careers in the industry

"Technologies like proprietary software systems, technical platforms, and NLP and AI products integrate into many roles within the insurance industry," Douglas Dell, vice president and executive leader of learning and development for Sedgwick, writes in the first of a three-part op-ed series for Digital Insurance. "For young, early career professionals looking to work in technology, targeting insurance roles over more traditional, ultra-competitive tech industry jobs might be a strategic career move."

Sedgwick has an apprentice program where participants can utilize their technology skills to develop knowledge in the insurance industry. What can your company mirror from their success?

Read more: Insurance claims – a gateway to tech-driven careers 
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Building a tech career in the insurance sector

Approximately 430,000 tech workers were affected by layoffs in 2023, according to TrueUp data. This influx of tech talent looking for work, combined with brand-new Gen Z workers freshly entering the workforce, comes at a time when insurance companies are looking to hire technologically savvy employees in their efforts to digitize and streamline their processes.

"Companies need young, tech-savvy digital natives that are passionate about learning software quickly and integrating technology into workflows to help bridge their digital transformation goals," Dell explains in the second installment of his Digital Insurance series. How can an organization realign their recruiting efforts to focus on technology and early career success? Read on for the leader's advice. 

Read more: Unlocking early career success with insurance software skills 
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How AI can streamline insurance

AI tools and services are transforming the way insurance claims are handled, leading to new and different career opportunities in the field.

AI-powered tools automate routine and repetitive tasks in claims processing, giving employees the time to focus on more complex and value-added activities. In the final installment of his series, Dell explains how automation has transformed operations, reducing manual functions, allowing for more advanced activities such as analyzing patterns and making data-driven decisions. 

"We have had a lot of recent success with using AI to rapidly build video solutions for our programs," Dell's colleague Shelby Thompson, program lead for the apprentice and trainee program in Sedgwick's property division, told him. "It's great to have the support to explore new technical approaches as we learn and often advance our development methods. AI also gives us the means to repurpose intellectual property in a myriad of formats."

Read more: Tech-driven insurance careers and the link to AI 
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Kuni Takahashi/Bloomberg

Leveraging AI to overcome burnout in call centers

Companies are losing an estimated 40-70% of call center agents annually, with some organizations turning over their entire agent populations each year, due to burnout. This problem is especially costly in the insurance industry, which is highly complex and heavily regulated, requiring significant onboarding time and a great deal of continued education to ensure agents are up to speed on the latest policies and procedures.

Call center agents in the insurance industry interact with customers through some intense and emotional situations and when burnout levels are high among employees, the risk of damaging policyholder relationships also runs high. 

According to Jennifer Lee, COO at Intradiem, artificial intelligence could be a solution to burnout, as AI is designed to help employees reduce repetitive tasks and focus on complex activities that need human reasoning. 

Read more: AI won't replace insurance call center agents, it's here to replace burnout 
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Patricia De Melo Moreira/Bloomberg

Understanding the risks of AI in insurance

Executives and boards across all industries are prioritizing AI investments, leading to the possibility that 40% of all working hours could be impacted by AI and be transformed into more productive activity through augmentation and automation, according to recent research by Accenture.

For insurers, data extraction is the foundation on which the industry will build new AI-powered business models and is the most impactful development in the digitalization of insurance in the last two decades.

"Building AI models that can accurately ingest, for example, complex commercial underwriting submissions, is no simple task," Martin P.D. Henley, CEO of Mea Platform, wrote in a recent column for Digital Insurance. "A global carrier can have hundreds of product variations, in multiple languages, with each requiring tens or hundreds of data items to enable pricing, underwriting and claims decisions — all of which need to be extracted from submissions where the data is wholly unstructured and in potentially millions of formats.

Read more: Beware of the risks surrounding AI training