Advancements in medical care and life-prolonging treatments have significantly increased life expectancy in recent decades. While this progress benefits society, it presents business challenges, particularly in managing workers' compensation claims. As workers live longer, their claims become more prolonged and expensive, leading to ethical and financial dilemmas. This article explores these issues and offers potential solutions to balance the benefits of medical advancements with the sustainability of workers' compensation systems.

Understanding the Impact of Increased Life Expectancy

According to the National Center for Health Statistics, life expectancy in the U.S. rose from 69.7 years in 1960 to 78.7 years in 2020. This trend is largely attributed to medical advancements and improved healthcare. A 2013 National Bureau of Economic Research study found that a one-year increase in life expectancy leads to a 7.5% increase in workers' compensation claim costs. Workers with permanent disabilities are likely to receive benefits for a longer time, driving up costs.

Medical advancements have also led to increased costs associated with workers' compensation claims. The National Council on Compensation Insurance (NCCI) reports that medical costs now account for about 60% of workers' compensation claim costs, up from 40% in the early 1980s. This increase is partly due to more advanced and expensive medical treatments. Additionally, the Workers Compensation Research Institute (WCRI) has found that the average duration of temporary disability benefits has increased over the years, particularly for older workers. Longer recovery times and more complex medical treatments contribute to this trend.

Older workers, in general, tend to have more severe injuries and longer recovery times, leading to higher workers' compensation costs. A 2021 study by the National Council on Compensation Insurance (NCCI) found that the percentage of claims with PPD benefits for workers aged 65 and older is more than double that for workers under age 35.

See also: How to Tackle the Long-Term-Care Crisis

Evidence From Recent Data

In 2023, the California workers' compensation system saw a 9.5% drop in private self-insured claim volume, representing the largest year-to-year decline in over 15 years. According to a report released by the California Workers’ Compensation Institute (CWCI), private self-insured employers covering 2.3 million California workers reported 94,386 workers' comp claims, down from 104,278 claims in 2022.

While claim volume and frequency declined, private self-insured employers’ total paid and incurred losses rose in 2023. Paid losses totaled $340.2 million, up 9.5% from 2022, and incurred losses rose 6.4% to $864 million. This situation highlights the increasing costs associated with each claim, driven by advancements in medical technology and increased life expectancy.

Ethical and Economic Implications

The rising cost of workers' compensation due to longer lifespans creates a significant ethical dilemma. While society rightly celebrates increased life expectancy and improved medical care, these advancements lead to higher business costs, necessitating a balance between providing adequate care for injured workers and managing financial sustainability. Ensuring fairness and equity in distributing workers' compensation benefits is crucial. Policies must be designed to distribute costs fairly among employers, employees, and possibly the government, ensuring injured workers receive the necessary support without disproportionately affecting any single group. Additionally, maintaining the long-term sustainability of workers' compensation systems is essential to avoid reducing benefits or increasing premiums, which could hurt both businesses and workers.

The economic impact of increased life expectancy and medical advancements on workers' compensation is profound. Higher medical costs and longer claim durations increase premiums, raising overall business costs. These expenses are often passed on to consumers, potentially reducing disposable income and overall economic activity. Small businesses are particularly vulnerable, as higher premiums and extended claims can strain their budgets, leading to difficult decisions about staffing, wages, and benefits, and, in some cases, business closures. Furthermore, rising workers' compensation costs can affect labor market dynamics, making employers more cautious about hiring, especially for high-risk positions. This can limit job opportunities and slow economic growth while potentially driving investment in automation and other technologies to reduce reliance on human labor.

See also: How to Predict Healthcare Costs

Potential Solutions

Addressing the rising costs of workers' compensation requires a multifaceted approach. Several strategies can help balance financial sustainability while ensuring adequate care for injured workers. These strategies include equitable cost distribution, investment in prevention, effective return-to-work programs, policy reforms, and leveraging technological advancements.

• One approach to addressing this issue is distributing the cost burden more equitably. A model where costs are shared among employers, employees, and the government could involve adjusting workers' compensation premiums, employee contributions, or government subsidies for certain types of claims.
• Investing in workplace safety and injury prevention programs is another effective strategy. By reducing the occurrence of injuries, businesses can lower long-term costs. Data-driven risk management can help identify high-risk workplaces and target safety efforts more effectively.
• Implementing effective return-to-work programs can also help reduce long-term costs. These programs assist injured workers in getting back to employment safely and quickly, which benefits both the employees and the employers.
• Policy reforms may be necessary to balance the needs of injured workers with the financial sustainability of the workers' compensation system. Exploring alternative solutions, such as long-term care insurance or government programs to manage lifelong care costs, could also be part of the solution.
• Encouraging the adoption of cost-effective technologies in treatment and rehabilitation can improve outcomes while managing costs. Technological advancements are crucial in lowering healthcare costs associated with work-related injuries.

Addressing the challenges of increased life expectancy and medical advancements requires a collaborative approach involving multiple stakeholders. Policymakers should review and potentially reform workers' compensation laws to address the changing landscape of medical care and its costs. Employers must invest in workplace safety, injury prevention, and effective return-to-work programs. Insurance providers should develop innovative products that balance cost management with quality care for injured workers. Healthcare providers should focus on developing and implementing cost-effective treatment protocols specifically for work-related injuries. Researchers must conduct studies on the long-term impact of medical advancements on workers' compensation and explore potential solutions. Workers should participate in workplace safety programs and actively participate in their recovery and return-to-work processes.

In conclusion, while the increased costs associated with medical advancements and longer life expectancy pose challenges to the workers' compensation system, they also present an opportunity to reimagine and improve how workplace injuries and their treatment are approached. By embracing prevention, safety, and innovative solutions, we can ensure that the benefits of medical advancements do not unduly burden employers and maintain a sustainable workers' compensation system.

Wild ideas about generative AI dominate tech discussions across our industry and others. But how are leading insurance agencies actually leveraging AI today?

Generative AI for Communications

One of the primary applications of artificial intelligence in advanced agencies is automating the creation of communications. Based on our 2024 industry survey, many agencies express excitement about AI's potential to enhance time management, facilitate growth and improve client satisfaction by automating tasks and providing valuable insights. 

Today, the majority of agencies we polled are using AI to accomplish tasks like:

• Day-to-day email communications
• Proposals
• Lead-gen marketing materials

AI tools generate personalized emails, craft detailed proposals and create engaging marketing content, saving time and ensuring consistency. These tools can also analyze customer interactions to tailor messages more effectively, enhancing engagement and satisfaction. Generative AI can streamline internal communications, fostering better collaboration and productivity within teams. By automating routine tasks, AI tools allow communication professionals to focus on more strategic initiatives. Additionally, it can quickly adapt to changing trends and preferences, ensuring that content remains relevant. 

See also: How Life Insurers Can Leverage Generative AI

Quick Understanding and Review of Insurance Policies

As agencies become more advanced, they find more complex ways to use AI, such as creating efficiency in policy management and comprehension:

• Policy Analysis: AI algorithms analyze and interpret insurance policies swiftly, providing instant answers to queries and comparing older policies with new ones. This ensures that policyholders and agents can make informed decisions quickly and efficiently.
• Document Comparison: AI streamlines the process of comparing different versions of policies, ensuring accuracy and compliance. This reduces the risk of errors and enhances the reliability of policy documentation.

Ingestion of Documents to Extract Data

AI also has the potential to revolutionize the handling and processing of data from various document formats, making it more efficient and accurate:

• OCR Capabilities: Advanced OCR (optical character recognition) converts flat documents like PDFs with handwritten notes into searchable formats for the extraction of data into ingestible formats.
• Data Integration: Extracted data seamlessly integrates into your agency management system for quoting, policy management, and all other operations, reducing manual data entry errors and saving your staff considerable time. 

Recommendations

In such a competitive marketplace, agencies must find innovative ways to sustain and grow their business. As veteran employees age out, technology can help fill some of the knowledge gap for the new generation of agents. AI-driven insights aid in personalized customer interactions and business growth:

• Customer Interaction: Optimal responses based on customer profiles and sentiment can enhance sales and customer service. By analyzing previous interactions and predicting future behaviors, AI can tailor responses to meet individual customer needs and preferences, leading to more effective and personalized communication.
• Cross-Sell and Up-Sell: Algorithms identify opportunities for additional coverage based on individual or business needs, boosting revenue. These AI-driven recommendations are continuously refined through machine learning, which adapts to emerging trends and customer behaviors, ensuring that the suggestions remain relevant and valuable.
• Best Practices: AI recommends expanded coverage options aligned with industry or agency-specific best practices. Ensuring adequate coverage improves client satisfaction and retention. By leveraging data from successful policies and customer feedback, AI systems can provide insights that help agents offer more comprehensive and appealing coverage solutions.

See also: Cautionary Tales on AI

Predictive Analytics

Predictive analytics empower agencies with strategic foresight, enabling them to anticipate market trends, identify potential risks and make data-driven decisions that enhance operational efficiency and competitive advantage. While the concept of predictive analytics may be new to many agencies, the technology has been available for quite some time, and ignoring it can be a recipe for failure. An agency management system should, at the very minimum, provide:

• Profitability Analysis: Identify profitable accounts, guiding resource allocation and investment decisions. By analyzing historical data and trends, predictive models can pinpoint which accounts are likely to generate the most revenue, allowing agencies to focus their efforts and resources where they will be most effective.
• Risk Mitigation: Algorithms predict attrition risks, enabling measures to enhance client retention. By identifying patterns and signals that precede client turnover, agencies can intervene early with personalized strategies to retain valuable clients, thereby reducing churn and increasing long-term profitability.
• Carrier Efficiency: Updated reports assess carrier performance, optimizing partnerships for operational efficiency. By continuously monitoring and evaluating carrier metrics, predictive analytics help agencies form strategic partnerships and improve overall service quality.
• Business Expansion: Insights on lucrative lines of business guide expansion efforts, maximizing growth potential. Predictive analytics can identify emerging markets and high-demand services, providing agencies with data-driven recommendations for expanding their offerings and entering new markets. Similarly, you can monitor employee performance, learn more about what makes high performers successful and replicate this behavior across the agency.

Embracing AI in the Future

The rapid adoption of AI technologies underscores a critical urgency for independent agencies to modernize or risk being left behind. As technology continues to evolve, outdated systems will increasingly hinder an agency's ability to serve its customers effectively. Embracing AI not only enhances operational efficiency but also empowers agents to focus more on personalized client relationships and advisory roles. 

Agencies must prioritize integrating AI to stay competitive, ensuring they remain agile and responsive to evolving customer needs. By taking aggressive steps toward AI adoption, agencies can secure their position as trusted advisers to those they serve. 

Consumers today demand personalized and seamless end-to-end journeys, just like they get with Amazon, putting increased pressure on insurers to improve customer experience and truly make it easy for people to do business with them. Websites are often outdated and hard to navigate, and forms processes are cumbersome at best – and archaic at worst. Who still has a fax machine?    

One area in which insurance companies can make immediate changes is in how (and how often) they communicate with their customers. The other area is to make it easier for policyholders to submit information to both the company and their agent. According to McKinsey, customers who interact with their agents once a quarter have a customer experience score of 50, compared with 30 for those who had conversations once a year and 0 for customers who had less frequent interactions. 

To bridge the interaction gap, insurers must reassess the roles of humans and technology in their communications. They need to give their agents technology that will enable them to easily access customer information and deliver personalized, empathetic communications with policyholders. 

Here are three key ways insurers can do this:

1) Provide Options: Offering a variety of platforms 

Delivering a great customer experience is crucial in today's competitive market. One way to do that is by sharing updates through the customer’s desired channel and allowing them to access personalized information on their terms. 

Some channels, such as mobile apps and online portals, can be used for self-service tasks, freeing phone lines and agents for more complex inquiries. This benefits the customer (faster resolution) and the insurer (lower costs). Text messages can also be well-suited for quick questions, payment information or claims updates – 95% stated they would find it helpful to hear about the status of their claim. While this might not come as a surprise, call centers often face a high volume of claims status inquiries, which is why offering multiple communication channels is critical for both parties. 

Insurers should also be mindful of how they are collecting information from their policyholders, because if there is one universal truth in our industry it’s that organizations continue relying on outdated, manual form processes to gather customer data. In today's digital age, customers expect interactive and automated forms, meaning insurers must seek out a centrally managed solution that features secure automation tool integrations to provide a quick and seamless experience. 

However, insurers can’t take a one-size-fits-all approach to these channels. They need to be tailored to the individual’s needs. Creating a personalized experience not only builds customer loyalty but generates positive word-of-mouth that can attract customers who prioritize these kinds of interactions. 89% of customers are scouring the internet to find out what other customers say about providers before committing to a service.

See also: Balancing Technology and Empathy in Claims

2) Allow for Flexibility: Knowing customer preferences 

Customers should be able to get the help they need on their terms, and it is crucial to recognize the differing preferences across generations. Not everyone prefers the same method of communication. 

Older generations prefer phone calls, while younger generations are more comfortable with online interactions. However, preferences constantly change; Consumers age 55-plus are slowly becoming more comfortable with digital insurer interactions. Regardless of the choice, being able to make the decision about the channel that best fits their situation and schedule will instill a sense of trust between them and their insurer. This approach acknowledges the diverse communication preferences across different age groups and reduces any frustration customers may feel from being constrained to a single channel.

When insurers empower customers to choose how they engage and allow flexibility in their channel of choice, it can reduce their feelings of being stuck in a tedious process without human support.

3) Know Your Stuff: Having customer data readily available

On average, agents spend 26% of their time searching for relevant data during customer interactions. Having customer data readily available, like easy access to past policies, coverage details and contact information, eliminates this hassle and better arms agents to deliver a human touch. 

For instance, an insurer with access to a customer's driving history or home security system can offer a more tailored risk assessment and potentially lower premiums. After a car accident in which a customer must file a claim, easy access to car details, claims history and preferred repair shops can make an already stressful situation easier to manage. The insurer can also guide the customer through the process quickly and efficiently, further minimizing stress.

See also: How AI Can Humanize Insurance

Empathy Still Matters 

The insurance industry is no longer competing only with other insurers. Consumers expect seamless, personalized experiences at every interaction in the policy, billing and claims lifecycles, and insurance needs to catch up. Technology can be a powerful tool, but balancing human connection within that technology remains crucial. Equipping agents with the correct information and technology lets them personalize communication and build customer rapport. Regular touchpoints with customers and offering them flexible, customized channels and intelligent forms can significantly improve customer experience – especially when a person needs it most.

Generative AI is accelerating transformation across the commercial insurance industry. Processing risks is a manual and time-consuming process, but GenAI technology and help lift premium per person and provide profitable growth without adding operational costs. 

Large language models improve AI performance and scalability, enabling the insurance industry to do more across multiple functions - including writing more risks with the same resources, servicing and adjudicating more claims with the same-sized team, achieving higher levels of accuracy in evaluating risk and improving how individual risk selection decisions support targeting portfolio shape. 

Over time, LLMs - tuned to commercial insurance - will enable a move to a model where companies can onboard, renew and service risks at close to zero marginal cost, underpinned with more consistent control over risk selection. 

LLMs are trained on vast amounts of data that allow them to understand and generate content to perform various tasks. When tuned to specific domains, they can solve deep problems that unlock massive value. 

To fully understand how LLMs work and how they streamline the insurance process, let's break it down. 

What are LLMs?

LLMs are a foundation model trained on vast amounts of data, providing the capabilities to drive multiple applications and tasks. They are trained to understand and generate content like a human and create relevant responses for various tasks. LLMS can perform various functions, including classifying, editing, summarizing, interpreting, answering questions and creating content. Within commercial insurance, risk information is heterogeneous and unstructured, LLMs enable risk data to be unified, digitized and standardized so risk decisions can be made in a more streamlined way across the value chain. 

See also: How AI Can Keep P&C Insurers Profitable

How LLMs work 

LLMs are based on transformer architecture, which consists of multiple layers of neural networks with an encoder and decoder with parameters that can be fine-tuned during training. LLMs learn the relationships between different portions of words (or tokens), which enables them to be effective at generating both structured and unstructured content (including natural language text). Fine-tuning like reinforcement learning with human feedback (RLHF) can remove biases and factual errors. LLMs can be trained on unstructured data, which is one reason why they are powerful in the context of insurance, which generates large amounts of such data. LLMs are also able to create new forms of content efficiently, including text and images, which enables them to perform a wide array of tasks. 

How are LLMs used in the insurance industry?

When tuned to insurance, LLMs support underwriting and claim adjudicating capabilities, streamlining risk processing, lifting efficiency and improving broker and customer service at all stages of the insurance process. LLMs enable risks to be digitized, evaluated and turned decision-ready without human intervention and let homogeneous risks be handled via straight-through processing. In more complex risk segments, LLMs create significant capacity for underwriters to write more risks and focus on the aspects of them that are unusual relative to the norm, enabling a more informed decision.

LLMs also let insurers retain their unique view of risk yet achieve high levels of efficiency by digitizing, standardizing and interpreting risk data relative to their specific schema and rules. LLMs enable risk data to be transformed into a format that corresponds with the insurers' unique target schema.  

An important precondition of achieving LLM performance in risk digitization is uniting dispersed risk data across many internal and external data sources.  

Claims

When tuned to claims processing workflows, LLMs can classify claims documents, digitize claims information, link different claims data fields together across different transactions and enable claims to be turned adjudication-ready without human intervention. This enables claims teams to service more claims faster, with the same resources, resulting in better customer service. Lower-complexity claims can be auto-adjudicated, resulting in progressively higher levels of straight-through processing. 

See also: What Makes Insurance Invoicing Different

Risk Analytics

Any sharp learning curve required by staff to analyze complex data is reduced with LLMs, making analysis available to users who may not have relevant technical training. Risk professionals can ask questions about a submission to identify aspects of the risks that require specific attention. Risk professionals can also ask contextual questions and compare a given risk with the entire risk submission flow and in-force portfolio to understand the degrees of homogeneity and difference. This enables economies of scale, where similar homogeneous risks can receive more accelerated processing and allows better, more integrated decisions across different underwriting and claims teams. 

Closing 

For many years, full digitization of insurance workflows was constrained due to the vast heterogeneous data formats, a lack of standardization and different requirements that each insurer has. Today, LLMs are enabling insurers to digitize end-to-end risk workflows and move to fully scalable business models due to their ability to unify, digitize and understand risk data regardless of their format and level of heterogeneity.

In the dynamic environment of today's insurance industry, success hinges on your most valuable asset — your people. But how can you ensure your workforce is equipped to navigate uncertainty and thrive in the face of constant disruption? The answer lies in cultivating resilience.

Why Resilience Matters: Building a Thriving Workforce

Your employees' ability to adapt to change, manage stress effectively and maintain a positive outlook directly affects your company's success. By fostering resilience, you build a workforce that is:

• Change-Ready: They can thrive in the face of new regulations, evolving market trends and technological advancements. They embrace new ideas and processes without feeling overwhelmed or resisting.
• Emotionally Agile: They can manage stress effectively, leading to improved decision-making and reduced burnout. Resilient employees stay calm under pressure, think clearly and make sound judgments in challenging situations.
• Mentally Fortified: They show resilience in the face of challenges and setbacks. They can learn from mistakes, bounce back from setbacks and maintain a positive and productive work environment.

See also: Building Resilience for Future Generations

Moving Beyond Traditional Wellness Programs

Traditional wellness programs often focus on short-term fixes like gym memberships or stress-reduction workshops. While these initiatives can be beneficial, building resilience requires a more holistic approach. 

Here are core principles:

• Understanding the Stress Cycle: Equip employees to recognize and manage stress. Offer workshops on identifying stress signs, teach relaxation techniques and share time management strategies.
• Building a Supportive Work Environment: Foster open communication and create safe spaces for sharing challenges. Implement mentorship programs and peer support groups. Use team-building exercises to strengthen community bonds.
• Promoting Self-Care: Emphasize healthy habits like sleep, exercise and mindfulness. Provide resources such as mindfulness app subscriptions or on-site yoga classes. Encourage regular breaks and consider flexible work arrangements for better work-life balance.
• Developing a Growth Mindset: Reframe failure as a learning opportunity. Foster a culture of experimentation and calculated risk-taking. Celebrate lessons from setbacks. Offer skill development through training and conferences.

The Power of Recognition and Feedback

Well-designed employee recognition programs can be a powerful tool for building resilience. Regularly acknowledging employee achievements, both big and small, reinforces positive behaviors, boosts morale and fosters a sense of accomplishment. 

Recognition programs can take many forms, from public shout-outs at team meetings to personalized rewards. The key is to tailor the program to your organization's culture and ensure recognition is specific, timely and meaningful.

The Positive Power of Framing

It is vital to shift the focus from avoiding stress to embracing challenges as opportunities to build strength. Help employees reframe stressful situations as opportunities for learning and growth. By viewing challenges as a chance to develop new skills and overcome obstacles, employees are more likely to approach them with a positive mindset.

Leadership and Fostering Resilience

Leaders play a critical role in fostering mental well-being. 

• Tone: Model resilience and work-life balance. Be open about personal challenges to create a relatable, supportive atmosphere.
• Communication: Create safe spaces for discussing concerns. Be approachable and receptive to feedback to build trust.
• Empowerment: Provide autonomy and ownership over work. Delegate tasks and encourage initiative to foster control and purpose.
• Psychological Safety: Cultivate an environment where risk-taking and admitting mistakes are acceptable. Support learning and growth to strengthen resilience.

See also: The Challenge of Quantum Resilience

Investing in Mental Health Resources

Beyond fostering a supportive work environment, consider investing in additional resources to support employee mental health. These could include:

• Employee Assistance Programs (EAPs): These confidential programs provide employees and their families with access to counseling, financial planning assistance and other resources to address personal challenges that can affect their work performance.
• Telehealth Services: Offering access to telehealth services allows employees to connect with mental health professionals remotely, making it easier to get the support they need.
• Mental Health Awareness Programs: Organize workshops or seminars to educate employees about mental health issues, including stress management techniques and self-care strategies. This can help normalize discussions about mental health and encourage employees to seek help when needed.

Metrics for Measuring Success

While building a resilient workforce is a long-term endeavor, there are certain metrics you can track to measure progress. 

• Employee Engagement Surveys: Regularly assess employee engagement through surveys to gauge their satisfaction with their work and the work environment. Increased engagement scores can indicate a more resilient workforce.
• Absenteeism and Turnover: Track absenteeism and turnover rates to see if they are declining. Lower absenteeism and turnover rates can be signs of a more resilient workforce.
• Employee Well-Being Surveys: Conduct surveys to assess employee well-being and identify areas for improvement.

Building a Culture of Resilience: A Continuous Process

Building a resilient workforce requires continuous effort and commitment from both leaders and employees. By implementing the right strategies, you can create a work environment that empowers your employees to thrive in the face of change, navigate uncertainty and contribute to the long-term success of your organization. Remember, a resilient workforce is not just about surviving challenges but about thriving in the face of them.

By investing in your employees' well-being, you are investing in the future success of your organization.

Precisely quantifying climate risk is essential to comply with evolving climate reporting requirements. More importantly, it is critical to making informed decisions about building resilience in a warming world that’s shifting to a lower-carbon economy.

However, many organizations will face obstacles in securing robust insights to help them manage climate risk effectively. There are perhaps three challenges that cannot be overlooked.

See also: Climate and Catastrophe Risk Strategies

Challenge one: Carbon emissions do not provide the full picture

While quantifying carbon emissions is important in terms of meeting certain disclosure requirements, this will not provide a comprehensive view of climate risk.

A 2023 joint report from WTW and the Institute of International Finance highlights how emissions quantification tends to be backward-looking and therefore may not capture how the profitability of a business is likely to be affected into the future. There’s also a low correlation between financial risk and carbon intensity. 

This means an organization needs to find additional techniques to quantify climate risk. These methods should be capable of measuring the consequences of physical climate change on a company’s assets and the secondary effects resulting from changes in business models and supply chains as they adapt to a lower-carbon economy. 

As the transition to net-zero leads to policy, legal and market changes, some organizations could face significant moves in asset values, cashflows and higher costs of doing business. Analytical techniques can let you quantify transition risk as a financial impact. 

Using this type of approach, you can define transition risk as the difference in future value between a business-as-usual scenario and a given number of transition scenarios. You can then feed these outputs into your transition plan disclosures and, more crucially, into strategic decision-making more likely to support resilience and growth.

Challenge two: Quantifying climate risk beyond tick-box disclosure

Quantifying climate risk takes time and effort. In terms of efficiency, it’s better if your climate reporting outputs are useful for more than simply ticking climate-reporting boxes. Ideally, you need information that not only guides your ability to meet climate and sustainability commitments but also ensures capital is allocated in the right places to protect against climate-driven uncertainty and volatility.

Once you use techniques that let you measure the financial impact of your specific physical and transition risks, you can better justify the need for proactive measures and achieve a stronger return on investment.

Analytical modeling can also enable you to explore multiple scenarios, pressure test your assumptions around strategic decisions, anticipate and respond to changing risks and adapt your strategies accordingly. When robust climate analytics is embedded in your organization, you can improve your risk transfer and adaptation strategy to reduce your physical risks and make business decisions more likely to outperform your peers in the transition.

This risk quantification approach can support your climate reporting requirements while generating the insight you need to inform resilience against physical or transition-risk related events or losses.

See also: How AI Can Help Insurers on Climate

Challenge three: Qualitative methods lack precision

Climate risks are complex and intertwined. It’s understandable why your organization may turn to more traditional qualitative methods, such as scenario analysis workshops, to provide a high-level understanding of potential future outcomes.

However, these processes are resource-intensive and rely on being able to get business leaders together regularly to build consensus on identifying and quantifying the risks the business needs to prioritize. The process may also lack precision and repeatability.

Dynamic physical and transition risk models and algorithms provide a more objective, repeatable and auditable approach. These models allow you to create a perspective you can track through time, verifying the assumptions and causality behind the insight you generate.

These perspectives can complement climate risk governance forums like senior stakeholder workshops or risk committees, enabling the business to validate and test climate risk management strategies.

With robust, repeatable and transparent climate risk quantification, it’s easier to demonstrate to auditors or compliance officers how the business arrived at key decisions and be confident you’re allocating resources in optimal ways to support resilience and growth in the face of complex climate risks.

Dynamic climate risk quantification models can also give decision-makers real-time feedback on the financial impacts of complex changes resulting from climate risks. This feedback helps prioritize actions and focus on acute problems that could challenge the viability of operations in the future.

By having tools you can engage with frequently over a year, or even over a decade, you can explore the changing landscape as part of a continuous process, generating auditable feedback on what's driving your progress to reaching a climate-resilient future.

In recent years, many insurers, especially property insurers, have dealt with combined ratios that have remained stubbornly above 100. Two primary factors are persistent inflation, which increases repair costs, and more frequent and severe catastrophic weather activity, which has driven higher-than-average losses for most of the past decade. This scenario has been exacerbated by reinsurers trying to maintain their bottom lines by minimizing their own risk exposure to severe weather or charging more for reinsurance. Without any ability to control inflation, and with little leverage over their risk transfer partners for the foreseeable future, what can insurers do to improve their combined ratios? Invariably, the answer lies in expense management, which is completely within an insurer’s control.

While approaches to expense management typically have involved outsourcing and reductions in force, technology has emerged as an equally favored approach in recent years. To be certain, insurers have been turning to technology to help with expense management for quite some time. For example, software that can perform a basic function such as bill generation, saving both time and money, emerged decades ago. However, in the past few years, technology that is much more sophisticated has emerged to assist insurers in tackling challenges that go well beyond bill generation.

Marketing

Expense reduction can start as early as prospect identification and applicant evaluation in marketing. In a perfect world, insurers could “pre-screen” prospects and only target those deemed worthy. Insurers that distribute through agents can rely on them as a pre-screening mechanism. However, insurers that are direct-to-consumer (or that use multiple channels and can sell directly), have more of a challenge because they often do not have clear visibility into applicant quality at this point. Exacerbating this lack of visibility is that these insurers tend to rely on demand generation tactics such as advertising, which can create and elevate overall brand awareness. The downside to this approach is that the messaging often reaches an unintended audience, leading to lower-quality applicants who have a lower chance of getting underwritten. When policies don’t get bound or get presented at a price that is too high for the applicant, that is a cost with no reward that insurers must bear. As this approach has become more expensive and has yielded mixed results, insurers have begun to reduce their advertising budgets and have begun to seek alternative ways to target a more desirable audience.

Many insurers have turned to targeted marketing to drive a more favorable applicant flow and reduce friction and costs in the underwriting process. These efforts often center on data mining, with insurer staff or third-party vendors culling through the data to develop a targeted list of desirable prospects. Generative AI (artificial intelligence) has emerged to complement these efforts by synthesizing the data and developing supplemental profiles of targeted prospects. Vendors such as Appian provide a generative AI tool that can be used to mine external data sources to profile existing and prospective customers, which will allow insurers to provide highly personalized content, products and services. These profiles can be used to guide messaging and product pitches based on information gleaned about the prospect, which could improve conversion ratios and lower overall acquisition costs. However, insights are only as good as the data they are based on, so forming profiles based on poor (or too little) data likely will fall short. In any case, robust profiles are no more than preliminary filters and are not substitutes for sound underwriting.

Another technology option for increasing efficiency and reducing expenses in marketing and lead development is an appetite alignment tool. By integrating with an agency management system, this tool allows clear communication between any insurer and its agencies about preferred types of business. Insurers enter their appetite preferences and changes into a user portal, and those entries will be communicated to their agencies. Without clear appetite communication, agents submitting out-of-appetite business that ultimately does not get underwritten wastes valuable resources. To be certain, leveraging both generative AI and appetite alignment tools can enhance the applicant pool, and the enhanced applicant pool in turn enable a more efficient underwriting process; however, they cannot solve all underwriting issues.

Underwriting

Underwriting’s primary goal is to make sound risk decisions that enable favorable loss ratios. However, insurers also can realize expense management goals in the underwriting process, especially when emerging technologies are leveraged to reduce lag time, increase straight-through processing and reduce costly underwriter referrals.

Generative AI can assist with all those tasks, but perhaps the most important role it can serve is that of a “completeness checker.” Given policy submission volumes, it is not easy for a human underwriter to verify that all the required information for a policy has been submitted in a timely and accurate manner. Generative AI can help solve this issue by flagging information gaps/inconsistencies, identifying missing components and validating submitted data against third-party data sources. This data validation can tighten up the underwriting cycle and reduce the amount of re-work and accelerate an underwriting decision. In May 2024, Hiscox USA announced a partnership with Convr AI to leverage its Risk 360 AI tool to ensure that underwriting and renewal decisions are based on the most accurate data possible.

Generative AI can also compare presented risks against existing risks within an insurer’s portfolio, help guide the overall risk determination for any application and make sure that the policy is priced appropriately. This is something that a human could certainly do, but the time it would take would be cost-prohibitive. At best, humans are able to make a few comparisons, which would not yield as complete a picture. In this sense, generative AI serves as a time saver but also improves loss ratios by flagging risks that are out of line with the overall portfolio.

Data itself can play a role in expense reduction, although any impact would be in collaboration with another technology (such as AI-driven predictive analytics). Efficiencies can be gained through data pre-fills, but the critical play with data is through analytics, which can assist with risk comparisons and largely affects loss ratios more than expense ratios.

See also: How to Predict Healthcare Costs

Service

Service has had the longest exposure to technology-driven expense management. Direct-to-consumer insurers always have had to provide service, and agent-focused insurers have taken on more service tasks from agents who chose to focus on revenue-generating activities. Policyholder service centers, viewed as cost centers, became targets for expense reduction through tactics such as outsourcing. However, outsourcing comes with inefficiencies and non-monetary costs. Insurers sought a scalable service option that could drive down transaction costs without sacrificing service quality, leading to the adoption of technology.

RPA (robotic process automation) has enabled rules-based chatbots to perform basic service tasks, freeing human capacity for more complex tasks. While RPA offers staffing relief, it is limited to low-complexity tasks, requiring human intervention for more complex issues. Generative AI, being more advanced, can interpret more complex questions and provide relevant responses, reducing the need for human intervention. Plenty of vendors, such as Boost AI, provide these types of services to insurers. Investing in service infrastructure cannot be avoided by direct-to-consumer insurers and may seem like an added burden to insurers that rely on agents. However, many insurers charge agents fees to offset service infrastructure investment costs. Both sets of insurers view service as a relationship enhancement that could lead to higher retention. Armed with technology, insurers can manage service costs much better.

See also: The True Cost of Big (Bad) Data

Claims

The final area in which technology can have an impact on expense management is claims. Some technologies are relatively pedestrian, such as claim “traffic management” systems that keep track of required steps and when they are completed, alert the person responsible for the next step that the step needs to be executed and send alerts when there is an information gap, to name a few. These prompts can save time and eliminate costly delays.

RPA-enabled chatbots can conduct an automated FNOL (first notice of loss) by guiding insureds through the process of collecting videos or photos of the damaged asset and can suggest re-takes if needed. In addition to conducting an FNOL, these chatbots can assign a claim to the appropriate adjuster, who can then begin the claim process. Having a claim assigned to the wrong adjuster is fairly common and can cause a great deal of delay and re-work, so avoiding this outcome will save money and time for any insurer.

While a chatbot-guided damage assessment is perfectly fine for smaller-scale damage (e.g., a single damaged asset such as an auto or a deck hit by a falling tree), it might not be optimal in the event of larger-scale damage resulting from severe weather events. For example, a chatbot might not be equipped to guide a damage assessment of a thoroughly destroyed asset. It also might not be possible for human adjusters to access the damaged property in a timely manner.

Another issue is staffing capacity. Many insurers rely on outsourced inspectors to supplement existing staff or stretch their existing staff to the limit and possibly lengthen the claim process. Both options come with costs (extra costs to hire the outsourced labor in the former; an increase in policyholder dissatisfaction and litigation likelihood in the latter). Clearly, insurers require a cost-effective inspection option that guarantees access to damaged assets.

To that end, many insurers have begun relying on aerial imagery providers as a scalable, less expensive alternative to live adjusters. Vendors such as Iceye can provide images that allow adjusters to assess severe weather damage without having to place staff onsite. These providers can cover a broad geographic region from the air, capture images of damaged properties in that region and send those images along to an insurer for it to synthesize. Insurers have a choice of image source (drone, plane or satellite), each of which has a varying degree of granularity. Without question, these aerial imagery providers can cover far more ground more quickly than a horde of live claim adjusters and can collect damage information at scale.

Once a human adjuster has these images, additional efficiency savings can be realized by leveraging AI. AI can compare collected images of damaged properties against pre-weather event images of those properties and can be trained to recognize the extent of asset damage much more quickly than a human can. This can be accomplished through a tool such as Swiss Re’s Rapid Damage Assessment solution. When integrated with claim estimation software such as Xactimate, AI can arrive at an initial damage estimate that, if needed, can be refined by humans. To be clear, these technologies are not being leveraged to replace employees in the claim process. Having high fixed-cost humans working on lower-end claims is expensive and consumes valuable capacity, and these technologies help insurers reduce expenses and increase staff capacity for handling more complex claims.

Another important technology available to insurers to help reduce expenses and increase staff capacity is fraud detection/prevention. This technology takes many approaches, but most often, the end product is a risk score rating the likelihood of a claim being fraudulent. This score may be based on a claimant’s history, recent transactions or known associates. The primary benefit to insurers is that if a risk score breaches an established acceptability threshold for fraud potential, they can apply extra scrutiny before the claim process gets too deep and is paid out. Without pre-emptive fraud detection, insurers must rely on their SIUs (special investigation units) to claw back money paid out for a fraudulent claim. This is known in the insurance industry as “pay and chase” and is not a great strategy for cost reduction or containment because getting money back is inherently more expensive than not paying it out to begin with. That said, despite an insurer’s best efforts, fraud is still possible, so it is best to have SIUs with as much capacity as possible to chase down payments that went out the door.

Not every technology discussed is going to be a fit for every insurer, but given existing expense pressures, it would behoove insurers to consider any available technology to help manage expenses.

The adage that “everybody talks about the weather, but nobody does anything about it” – often attributed to Mark Twain but written by Charles Dudley Warner in 1897 – is no longer true, especially when it comes to its current and future impact on the insurance industry.  

Simply stated, extreme weather is disrupting property & casualty insurance profitability while destroying coverage affordability and restricting availability. 

The term "climatic change" was first used in a 1975 article titled "Climatic Change: Are We on the Brink of a Pronounced Global Warming?", by Wallace Broecker, a geochemist at Columbia University. Since then, the expression “climate change” has grown to encompass a wide variety of climatological, natural and man-made weather phenomena. The terms "global warming" and "climate change" became more common in the 1980s and are often used interchangeably. 

However, technically, "global warming" only refers to increased surface warming, while "climate change" describes both global warming and its effects on Earth's climate system, such as precipitation changes. 

Paradigm Shift from ‘Repair and Replace’ to ‘Predict and Prevent’

Ironically, these new threats may have surfaced at a perfect time to encourage the insurance industry to finally transform its legacy approaches to risk managements to position itself for the rapidly transforming new economy. At the heart of this makeover is a critical paradigm shift, albeit still early on, from "repair and replace" to a "predict and prevent" mindset applied across the enterprise: product design, underwriting, distribution, claims, service and marketing. Some refer to this capability as resiliency. Climate tech to the rescue.    

And not immaterially, in its new report titled “Building A Climate-Resilient Future,” launched at COP28, Oliver Wyman observes that “by playing a larger role in increasing resilience, insurers have the power to reduce overall weather-related losses, protect their existing markets and expand coverage into new markets — the combination of which presents a $71 billion annual revenue opportunity for the insurance industry.”

Climate Tech and Insurance

For purposes of this article, we have narrowed the lens of the discussion to a specific, more practical short-term focus on what we will call “climate tech” as it relates to extreme weather and its implications for the P&C insurance industry. 

We define climate tech as technology-enabled tools and solutions that can avoid, limit, mitigate and remediate the impact of extreme weather events on policyholders and their property, whether man-made or natural. This includes emergency response and triage services. 

These technologies include sensors and IoT devices connected to people, homes and property, more accurate weather forecasting, satellite aerial imagery, parametric insurance, earthquake warning systems, catastrophe planning and management software and data-driven decision-making.

Extreme weather is disrupting the claims and repair industry

Extreme weather events, including hurricanes, tornadoes, wildfire and, most recently, convective storms, are converging and somewhat of a moving target, competing for the top spot in severity. Carriers are beginning to explore and use climate tech technologies to better predict and react in several ways.

According to the recently released Q2 findings of CCC Intelligent Solutions' 2024 Crash Course report, more frequent and severe storms are resulting in a surge of higher auto insurance claims costs and longer repair times. The report encourages improved preparation efforts through robust strategies and technologies, including leveraging AI-powered tools with historical data and predictive analytic capabilities to improve storm severity forecasting.

See also: Climate and Catastrophe Risk Strategies

The Role of Re/insurers

Global re/insurers are well positioned to support and encourage carrier adoption of climate tech solutions 

Risk Management Partners, a unit of Munich Re, recently announced a partnership with IT consulting firm CGI to help insurers reduce claims and increase profitability. Munich Re will combine its intelligence platform with CGI's climate risk mitigation offerings to provide insurers with a platform that enables data-driven decision-making.

Wildfires are an escalating threat, consistently surpassing historical records. Since 2000, they have consumed 7 million acres annually, double the yearly acreage burned in the 1990s, according to Swiss Re. Swiss Re, in collaboration with Bellwether, announced that it is using AI and comprehensive data harvesting to enhance underwriting capabilities for insurers facing wildfire risk.

INSURANCE FOCUS ON CLIMATE TECH

Capital and resources are beginning to flow into the climate tech space in a variety of forms. The most common are private equity and venture capital investments, start-ups and early-stage market entrants, new insurance products specifically for climate tech solutions, re/insurers conducting research and development of potential tools and solutions and larger established companies extending their capabilities into products and services focused specifically on “sustainability” and “resilience” initiatives.

One innovative example of this comes from Solera, a vehicle lifecycle management data provider, and its new suite of solutions "Sustainable Estimatics," which analyze and measure the CO2 emissions of the touchpoints in the value chain of the auto claims journey, providing information to minimize the CO2 emissions of the claim managed by insurers,

Chubb: Insurance for Climate Tech Companies

As the global population grows and energy demands increase, clean technology companies are critical to the global economy. As climate tech businesses innovate, they face unique risks due to both the unprecedented nature of their operations and the urgency of scaling for the low-carbon transition. 

These are the companies developing the cutting-edge products, services and technologies necessary to mitigate greenhouse gas emissions and protect Earth’s natural resources during the energy transition.

Chubb is leveraging its expertise in the climate tech industry to support these clients and help protect their organizations.

The Geneva Association

Affordable insurance solutions are a prerequisite to attracting sufficient investment in climate technologies and deploying them widely. Assessing and mitigating the risks involved in projects are, in turn, key to developing such solutions. 

The Geneva Association is the only global association of insurance companies; its members are insurance and reinsurance CEOs. In total, the companies of Geneva Association members are based in 26 countries around the world; manage $21 trillion in assets; employ more than 2.5 million people; and protect 2.6 billion people.

The Geneva Association's two-part research series explores how insurers can help facilitate the commercialization of climate tech.

The first report – "Climate Tech for Industrial Decarbonization: What role for insurers?" – examines the climate tech commercialization landscape and presents perspectives of C-level insurance executives on what the industry can offer in this space. It finds that engaging re/insurers from the very early stages of climate tech projects is critical.     

The second report – "Bringing Climate Tech to Market: The powerful role of insurance" – focuses on how the insurability of climate technologies can be enhanced. It presents a novel "insurability readiness framework" that can be used to pinpoint the areas within climate technologies that pose the greatest challenges to insurability. The framework is applied to two technologies – green hydrogen and carbon management – to demonstrate its use.

JVP (Jerusalem Venture Partners)

In May, JVP (Jerusalem Venture Partners) announced the launch of an international initiative to boost AI technologies in insurtech and climate tech, attracting delegations of hundreds of investors from across the globe, including North America, South America, Australia, Europe, Asia and, notably, Israel.

Hundreds of startups, investors, global insurance industry leaders, bankers and international tech leaders came together at JVP's annual meeting in New York City, a robust testament to international partnership and support for Israeli innovation.

See also: Time To Embrace AI In Climate Change Fight

Oliver Wyman

In its new report titled “Insurance and Sustainability Opportunities for 2024,” Oliver Wyman states that sustainability disclosure is becoming mandatory. The direction of travel is clear: Audited climate and sustainability disclosures are becoming mandatory in a growing number of jurisdictions. At the forefront of this trend is the European Union’s Corporate Sustainability Reporting Directive (CSRD), for which the first disclosures are due in 2025. 

We expect to see more insurers refresh their sustainability strategies considering the results, as new ESG impacts, risks and opportunities come into focus. And because the double materiality assessment determines the scope of future disclosures, it has important long-run implications for reporting costs and risks. We will be watching to see how insurers begin to lay the groundwork for their first disclosures with descriptions of their CSRD work in their 2023 reports to be published in 2024.

Industry events

Given the emergence of climate tech, there are a number of insurance industry conferences underway and being planned, validating interest and illuminating the various related challenges and opportunities. 

In February 2024, Oliver Wyman held the first virtual "Sustainable Insurance Summit," bringing together leading industry speakers and more than 300 insurance and sustainability practitioners to network and discuss mission-critical challenges, opportunities and operational actions insurers can take to future-proof their businesses while building resilience and supporting the transition to a low-carbon world.

One live event on the horizon set for April, 2025 is ClimateTech Connect. This conference is designed for industry leaders, government officials, entrepreneurs and investors leading transformational climate resilience through technology. Primary industries include: insurance, supply chain, logistics, real estate development, land use and zoning authorities, emergency response management, public safety and agriculture. This further demonstrates the breadth and reach climate tech will have in the years ahead.

FORECAST: More Climate Change, Greater Focus and Action on Sustainability and Resilience

It is early innings for climate change and climate tech, especially in the property & casualty insurance industry, but the threats and the opportunities are already becoming clear to many.

As climate impacts continue to mount and sustainability disclosure requirements push insurers to focus more clearly on climate-related risks and opportunities, we expect to see more insurers explicitly integrate adaptation and resilience into their sustainability strategies.

I always look forward to the release of the Global Priorities Survey by our colleagues at the International Insurance Society because it provides a reality check for me. While I read voraciously and talk to as many people in the industry as I can, I hardly have the reach of this survey, which is distributed to nearly 20,000 C-suite insurance executives around the world,

This year's survey didn't contain any huge surprises, but I confess to being struck by how much inflation is still a priority globally -- 69% of respondents listed inflation as a top-three economic priority. It's certainly been a massive issue in recent years, but it has cooled significantly -- Goldman Sachs predicted in June that it would soon drop to 2.2% in the world's developed economies -- and insurers, while initially surprised by surging prices for replacement costs, have been increasing rates to catch up.

The good news is that insurance executives generally said they were prepared to deal with inflation. That confidence is surely buttressed by a jump in emphasis on operational efficiency and, in particular, on AI, which holds enormous potential to take time and cost out of all sorts of processes. Fully 55% of executives said AI is a top-three technology and innovation priority, up from 29% last year and only 17% in 2021.

The bad news is that "more than a third of executives report that their companies are unprepared for [AI's] rapid advancement," the IIS says. "Concerns include the industry's slow adaptation to technological changes and the need for extensive reskilling due to an aging workforce."

Let's walk through some of the other intriguing numbers in the survey, as well as some color provided by Josh Landau, president of the IIS, in a conversation he and I had on Friday. 

We'll start with Josh's commentary. 

He said he wasn't surprised by the emphasis on AI. "Insurance is a pure information industry," he said, "so it can take full advantage of what AI offers." As early successes, he pointed to "augmented underwriting, to make underwriters more efficient," as well as "uses in call centers for customer service" and "uses on the analytics side, to sort through the vast amounts of data that are increasingly available."

Although many executives said their companies aren't prepared for AI, Josh said he sees progress. "AI is no longer a new topic. I liken it to when Bitcoin first came out. People didn't understand what it was. Today, people are more comfortable thinking about its value proposition or lack thereof. With generative AI, we're no longer in the first inning. It's still early innings but not the first. We've gone from, 'What's generative AI?' to 'What version of ChatGPT are you using?' or 'Are you using Copilot?'" 

On inflation, he said executives can see the problem being tamed. He also said they acknowledge that we seem to have achieved a "soft landing" -- 28% said a possible recession was a top-three economic priority, down from 43% last year and 44% in 2022. But he said "the impact of inflation is still being felt because of replacement costs on policies that were written in the past."

He also called out the results on climate change, which 60% of those surveyed said was a top priority, continuing a steady increase from 49% in 2021. The 2024 figure was even higher at property/casualty companies: 71% of executives ranked climate change as a top priority. 

The report says, "The increasing volatility of natural disasters makes it 'very difficult to predict future losses,' according to one executive. The associated increase in costs could have a 'destabilizing impact on carriers, governments and consumers.' There are also fears that climate change is driving a lack of insurability and that 'rates are rising to a point that people cannot afford insurance.' A quarter of executives say that their company is not prepared to address the issue in 2024."

Josh adds, "It's no longer just the severity of catastrophes that's increasing. The frequency is increasing, too. The problem is becoming more tangible. It's no longer a one-off event. There's a recognition that we may have to learn how to adapt to a new environment."

In general, I found the survey optimistic. Only one issue -- geopolitical conflicts -- showed up in the quadrant marked as high priority and as an area where insurance executives felt their companies were unprepared. 

While cybersecurity remains a major concern, executives are feeling more comfortable -- 62% listed it as a top priority in 2024, continuing the steady slide from 75% in 2021. The concern about managing a hybrid workforce has seemingly dissipated -- it was a top priority for 45% of executives in 2022, but that figure fell to 14% last year and stayed there this year. The worry about competition from outside the industry continued to wane, being expressed by just 22% of executives this year, down from 45% in 2021. 

Executives also report seeing major growth opportunities that they feel prepared to tackle in some of the areas I harp on at ITL, including customer engagement, product innovation and Predict & Prevent risk management services. Here's hoping....

Now, optimism always makes me a little nervous. Crises like COVID have a way of popping up unannounced. But it's still nice, at least for now, to see executives feeling good after a crazy stretch for many lines of business.

Cheers,

Paul

P.S. The IIS' report will tee up many of the sessions at its annual Global Insurance Forum, being held this year in Miami from Nov. 17-19, 

Josh also says "there will be an increased focus this year on the continuing deglobalization and derisking of supply chains, which is having an impact on insurers following the near-shoring and friend-storing trends."

That's certainly an appropriate topic for a forum being held in Miami, the gateway from the U.S. to Latin America, which figures to see a lot of economic activity as U.S. companies pursue those trends. I hope to see you there.

Building long-term relationships with customers is critical in the competitive insurance marketplace. Customer acquisition costs in the insurance business are high compared with other industries, with research showing it costs seven to nine times more to find a new customer than to retain an existing one. 

Customer portals often allow insurers to engage with their policyholders through omnichannel methods. Continuous engagement through portals plays a pivotal role in maintaining ongoing interactions while fostering loyalty and trust. Research from insured.io has shown that SMS messaging reduces cancellations by 52% when a proactive message is sent before a policy cancellation. Customers who engage repeatedly with their insurers’ portal have a 25% higher retention rate.

We live in a digital age where consumers expect immediate and personalized service, and customer portals provide a crucial touchpoint for insurers to meet these demands. Portals not only facilitate efficient self-service options but also enable insurers to proactively address customer needs, lowering dissatisfaction and increasing retention. 

By investing in robust customer engagement strategies, insurers can transform passive policyholders into active participants, driving loyalty and long-term retention.

The Importance of Continuous Engagement to Customer Loyalty

Insurers who engage with customers through proactive outreach with positive interactions can increase value and retention. The insurance process has traditionally been a difficult one for consumers, with most interactions being negative ones, like paying a bill or filing a claim. But now, policyholders can easily and inexpensively interact at any time with their insurer through different channels with tailored experiences.

Engagement starts with providing customers with the information they need when they need it, avoiding the frustrations often associated with traditional customer service. A customer portal accomplishes this omnichannel expectation by providing information at the right time through self-service options, and most consumers prefer self-service options. Positive experiences keep customers coming back to engage with the portal, with every interaction an opportunity for insurers to exceed expectations and impress customers.

But it is easy for consumers to lose trust in companies they do business with, and once trust is lost it is difficult to earn it back. Research found 65% of consumers will stop doing business with a company if it does not deliver what it has promised. This fundamental misalignment creates a gap between what a consumer believes will happen and the reality that follows — and in an industry like insurance where consumers have many options, many will shop around for a new company that better meets their expectations.

Some reasons why policyholders lose trust in their insurers after an unsatisfactory digital interaction include poor app performance, inconsistent information across channels, and impersonal interactions. 

Re-engaging customers who have had a poor experience or have become less active requires strategic outreach. Proactive communication that feels personal and targeted can bring customers back in, and every time a customer returns to the portal the insurer has another chance to showcase a new feature or benefit. This continuous re-engagement can help maintain customer relationships even when they have stopped engaging.

On the other hand, companies can engage with their customers in some key ways through personalization, including: 

• Proactive safety warnings for homeowners when bad weather approaches
• Information about how to protect homes and businesses during hurricane or wildfire season 
• Special discounts for policyholders who mitigate their risks through programs like telematics for auto insurance customers
• Updates for customers who have filed a claim, like status changes and important details
• Invoices and policy change notices are sent to customers with links allowing them to pay their bills or access their policies 
• Recommendations for additional products, like home, renters, or pet insurance
• Customizable notifications about policy activity sent to a customer’s mobile device 
• Access to policy information anywhere, at any time, from any device 

Overcoming Common Challenges With Continuous Engagement

The insurance industry often lags behind other businesses in technological advancements, hindering effective customer engagement. This lag can create a disconnect between customer expectations and their actual experiences, but investing in a customer portal can help reduce this gap.

Designing user-friendly interfaces that cater to different customer needs is crucial. Personalizing the digital experience to each policyholder gives the portal a bespoke feel while maximizing the value for the customer. Often, customers do not realize their experience is personalized, but the options and messages they see within the portal are designed to customize their insurance experience and make it seamless. Insurers should exercise caution because a poor design can lead to frustration and mistrust when consumers struggle to perform basic functions.

Another challenge insurers face is balancing communication frequency. Over-communicating can be just as detrimental as under-communicating. Consumers may disengage when there is too much communication, so finding an appropriate balance between sending helpful messages and bothering the customer is key. Insurers can help reduce this risk by considering the timing of their messages. Just-in-time push notifications about policy changes, premium payments, and severe weather are all examples of messaging that policyholders often find valuable.

Emerging technologies, particularly AI, play a significant role in enhancing customer engagement. The use of AI to access and interpret massive datasets of customer behavior is a new frontier for insurance, allowing increased personalization on a entirely new scale, with AI tools being able to assess and predict an insured's need for additional or increased coverage, provide advice on coverages, and enable much more in-depth customer service interactions. completely independent of the need for humans. 

The use of AI in this fashion, however, comes with potential challenges. Many companies, particularly regional carriers, pride themselves on their high level of customer service — and finding ways to maintain the "human touch" in AI-based interactions will become a challenge.  Insurers will need to find a proper balance of efficiency and humanity in order to stay competitive while also maintaining their same level of customer care. 

This is especially true during the claims process, where AI can provide huge advantages to workflows by adding additional context and providing detailed help along the way. But the tool cannot sacrifice the human component of much-needed empathy throughout the claims process. Ultimately AI is an absolute powerhouse of a tool for customer engagement when insurers are aware of the risk of alienating customers.

Customer Portals Build Long-Term Relationships With Continuous Engagement

Continuous engagement through customer portals is crucial for building long-term relationships and trust. Insurers can significantly enhance customer satisfaction and loyalty by offering 24/7 access to information, leveraging multi-channel communication, and personalizing interactions. This positive approach ensures that policyholders feel valued and understood, increasing retention rates.

The goal is to provide a seamless, positive customer experience that keeps policyholders engaged and loyal. As the industry evolves, insurers that effectively implement these strategies will stand out in the competitive landscape by fostering stronger, more enduring customer relationships.

Adapting to technological advancements and continuously improving the digital customer experience will be key to maintaining a competitive edge. By focusing on continuous engagement and leveraging technology effectively, insurers can meet and exceed customer expectations, ensuring long-term success in a rapidly changing market.

External Links:

1. https://www.insurancethoughtleadership.com/customer-experience/lowering-costs-customer-acquisition

2. https://39812339.fs1.hubspotusercontent-na1.net/hubfs/39812339/Insured.io%20eBook%20-%20Revolutionizing%20Customer%20Engagement.pdf?utm_medium=email&_hsenc=p2ANqtz-_DlgGcUzyy1cZrBolDV3nJNtIiqUW0fnqy1LHQS_mH4r7-Snt_eNCmpVb8MoHJwRD0HDqAYG9h5UR8OFfRhrve5z0SWg&_hsmi=277014961&utm_content=277014961&utm_source=hs_automation

3. https://www.forbes.com/sites/forbestechcouncil/2023/05/19/the-changing-face-of-customer-experience-in-the-self-service-economy/#:~:text=Many%20people%20like%20it%20that,ability%20to%20solve%20issues%20independently. 

https://www.qualtrics.com/experience-management/brand/brand-trust/

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