Historically, the insurance claims process was built on paper files, and that infrastructure has not fundamentally changed in more than 100 years. It’s long overdue for a refresher. Even as carriers have shifted from filing cabinets to the cloud, much of the resulting information remained unstructured data that could not be fully leveraged. AI is transforming this by unlocking insights from decades of records and converting them into a powerful and flexible knowledge base.

AI is widely regarded as one of the most transformative forces in the insurance industry, creating opportunities to streamline processes and enhance customer satisfaction. In home insurance alone, 70 percent of insurers are already using AI or are actively exploring its applications, with adoption strongest in claims (54 percent), underwriting (47 percent), marketing (47 percent) and fraud detection (42 percent), according to an August 2023 NAIC staff report on home insurance, artificial intelligence and machine learning. This rapid uptake reflects the industry’s recognition that longstanding systems are overdue for change.

By analyzing data and imagery, AI not only improves efficiency but also helps reduce human bias in underwriting, leading to fairer and more consistent outcomes. These advancements mark an inflection point. The future of insurance lies in new models that marry AI’s speed and precision with human judgment and empathy, achieving both efficiency and trust.

How AI Is Transforming Homeowners Claims

More than half of insurers already use AI in the claims process, according to a survey conducted by Gallagher Bassett as reported in Insurance Journal, most often for subrogation, triage and image evaluation. For example, current applications already reshaping the claims journey include:

• Assessment and detection: AI-powered image recognition can detect roof or water damage within minutes, while predictive analytics highlight claims likely to escalate into disputes or delays. For policyholders, this means faster identification of issues and quicker resolutions. For agents and adjusters, it provides early insights that help them prioritize cases, reduce disputes and focus on delivering the right level of support.

• Communication and documentation: Generative AI has begun to draft repair scopes and customer communications, reducing errors and freeing adjusters to focus on the most complicated and pressing interactions. AI also ensures claims are routed correctly at first notice of loss, preventing delays and preserving trust, giving policyholders clearer, faster updates while helping agents reduce paperwork and focus on higher-value support.

• Training and support: AI-driven bots support adjusters with claim summaries and “next best action” guidance. These tools not only improve customer service but also accelerate employee training. Moreover, AI is significantly reducing adjuster training time. With AI, the ramp-up time is reduced as knowledge is rapidly transferred from system to adjuster, allowing them to transform those interactions into wisdom.

That’s only the beginning. Powered by diverse data inputs such as claim history, roof data, geospatial imagery and weather information, emerging tools are designed to generate faster, more consistent and more accurate assessments. Looking ahead, insurers will be able to anticipate documentation needs, forecast repair timelines and guide next steps, making the claims journey even smoother.

This next wave of tools will directly support adjusters, enabling technology to work alongside humans, greatly improving both sides of the claims process. For consumers, it delivers faster service, fairer outcomes, smoother communication and reduced bias. For agents and adjusters, it reduces repetitive tasks, organizes unstructured customer input and shortens communication cycles, allowing them to focus on complex cases, empathy and dispute resolution where human judgment is essential.

Keeping the Human Touch

A recent Insurity survey shows that only 15 percent of consumers want a fully self-service, digital-only experience with their insurer, while nearly half (48 percent) prefer a digital-first model with the option to connect with a person if needed. This demonstrates that most policyholders prefer a human touch when it comes to their insurance needs.

Part of this is certainly because insurance policies are complex and often difficult to navigate without expert guidance. Human adjusters can also provide judgment and flexibility in situations that do not fit neatly into policy rules, addressing the gray areas in ways that AI cannot. However, it is also largely due to needing empathy, trust and compassion during difficult moments. Even as AI technology continues to advance, the human element remains indispensable in fostering trust and ensuring customers feel confident they are engaging with a person rather than solely with a machine.

The majority of customers have never experienced a property claim, which means that when a loss does occur, they are often unprepared for the process and uncertain about what steps to take. This contrasts with auto claims, which are more common and familiar to many consumers. Claims often arise in moments of crisis, such as fires, floods, storms or theft, leaving homeowners under significant emotional and financial strain. A claim represents something of real value that has been lost, and because most customers are unfamiliar with the process, it can feel confusing and overwhelming.

For example, a house fire claim may take months or even years to resolve. In such cases, efficiency is important, but customers place even greater importance on guidance, consistent communication and compassion from their adjusters. Clear explanations and realistic expectations help ease anxiety during a difficult time. While AI brings efficiency, human empathy and reassurance remain critical for trust and satisfaction. Emotional intelligence and relationship-building remain competitive advantages, particularly during prolonged or complex claims.

The Importance of a Balanced Approach

AI should act as an assistant, not a replacement, delivering faster insights that allow adjusters to focus on meaningful interactions requiring judgment and empathy. While automation is the future, it is important to be aware of the risks of becoming too reliant on technology alone. Algorithms can embed bias that leads to unfair outcomes, and rapid adoption may disrupt the workforce if not managed carefully.

Customer preferences vary, with some seeking personal interaction in moments of distress. Others preferring digital convenience, and many fall in between. To address varying preferences and needs, hybrid models are the best path forward for the industry, combining the efficiency of technology with the empathy of human adjusters to deliver stronger outcomes for insurers and policyholders. A hybrid approach gives carriers the flexibility to adapt, with humans handling complex decisions such as coverage determinations while AI and chatbots manage routine tasks that benefit from speed and automation.

The insurance industry stands at an inflection point where the rapid pace of AI-driven innovation is opening the door to lasting transformation. Experimentation is underway, and the gains in accuracy and productivity are already evident. However, the real winners will be those who strike the right balance between people and technology, opening the door to more efficient processes, greater innovation, and more time devoted to supporting policyholders.