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Gen AI in 2024: five top trends insurers can’t ignore

Generative Artificial Intelligence ( gen AI) became mainstream in 2023. In 2024, we expect gen AI  to exponentially evolve and disrupt technology and trends in the insurance space. 

The report by Vymo, ‘THE RISE OF AI – How Artificial Intelligence is Elevating the Insurance Game,’ investigates how the insurance industry has not only embraced technological transformation wholeheartedly but also become revitalized by it. AI now plays a crucial role in a variety of insurance processes, from product development to claims processing.

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AI has several applications in Insurance. For instance, Troy Korsgaden, Insurance Carrier Consultant at Korsgaden International,  cites wearable devices like fitness trackers that collect health and lifestyle data, which insurers can use to assess risk and offer discounts to healthy customers. Insurers are increasingly required to transition from using technology to address specific problems to adopting a more holistic and creative strategy that unifies various layers such as data, workflow, nudges, and customer experiences.

Here are five key ways that AI will disrupt the Insurance industry:

  1. Risk & Underwriting –  AI mitigates potential biases, enhances transparency, and harnesses data for precise risk assessment.  Through its Big Data model, insurance companies can potentially increase their Collections results while using 30% fewer resources.
  2.  Claims Processing –   AI streamlines the process for both customers and staff from the moment a claim is initiated. It automates tasks, ensuring swift and efficient processing while also determining the legitimacy of a claim and the corresponding coverage amount. For example, CCC Intelligent Solutions automates its entire claims system with AI. Photographs taken at accident scenes are subjected to AI analysis and assessed according to insurer-approved guidelines.
  3. Insurance Sales & Distribution – Sales & Distribution encompasses the entire chain of transactions between the carrier and the end-customer. This process also includes multiple personas such as brokerages (wholesalers) or licensed agents (retailers).  By harnessing AI to assist agent work forces and client-facing marketing channels, insurance carriers stand to boost their profitability and deliver
    exceptional customer experiences throughout the distribution cycle.
  4. Recruitment –  According to statistics from the  Bureau of Labor, over 50% of the insurance workforce will be retiring in 15 years, leaving almost 400,000 open positions unfulfilled industrywide. In this context, the onus is on carriers to streamline their recruitment process and make sure they’re hiring the right producers.  AI can help identify such producers through an ‘engagement score’, calculated by measuring how quickly people respond to emails, how proactive they are in attending pre-onboarding webinars, how much they’ve interacted with the carrier’s social media posts, and so on.
  5. The Lead Lifecycle – Once a lead becomes part of the carrier’s ecosystem, they are categorized and matched with agents according to their specific needs.  However, this allocation process often proves to be time consuming, slow, and inefficient, leading to lead disengagement and dropouts from the carrier’s ecosystem before their journey even commences.  Leveraging non-traditional data sources can enrich lead profiles, enabling customized services and more effective engagement strategies.  An AI engine can adapt its strategy in real-time based on changes in engagement scores. It can switch engagement channels, replace content with more relevant material, and make other adjustments as needed. 

Proceed with Caution

However, with all the seemingly boundless potential of AI, Troy advises insurers to “trust but verify.” AI cannot replace the nuanced human touch. It can serve as a ‘helping guide’ that organizes an advisor’s schedule, automates routine tasks, provides in-depth insights into customer preferences, and draws new talent to the industry. Echoing this sentiment, a Millennial advisor notes, “While the robo-advisor can simplify the human advisor’s role, personal time spent with clients to understand their life and financial goals remains crucial.” 

How Can AI Elevate the Role of Advisors?

Download ‘The Rise of AI’ to explore the productivity potential that AI holds.

[Download Now!]

Rashmi George

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Rashmi George, the Content Lead at Vymo is an unapologetic cat whisperer. When she's not cuddling her furry friends, you can find her nose-deep in a fantasy or finance book, dreaming up her next travel adventure. With over a decade of experience writing for ad agencies, financial institutions, and media production companies, Rashmi knows how to craft content that captures attention and drives results.

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