Concerns have been raised since the invention of artificial intelligence (AI) that it may grow too intelligent, self-aware, and take over the world in a manner similar to Cyberdyne’s Skynet system from the Terminator movie series. Even with the growing use of AI in insurance claims, over 70 years have passed since Alan Turing’s seminal article on thinking computers, and humans still instruct them what to do.
But even for jobs we thought required human interaction, computers have taken the place of people in some situations. But while AI is capable of writing music, Mozart is still needed occasionally. This idea holds true for practically any field: while AI is capable of carrying out tasks, there is still a significant gap between handling complicated projects and completing prescribed tasks.
What does AI in insurance mean for professionals handling claims, then? Will artificial intelligence (AI) take over claims inspections, provide friendly customer service, thoroughly assess damage, and provide insurance firms with reliable recommendations? Or will human resources be required for the duration of the claims process?
We think there is a medium ground and that there is no right or wrong answer when it comes to AI vs human. Let’s first clarify what artificial intelligence (AI) is and what kind of AI we are analyzing in insurance claims.
Artificial Intelligence: What Is It?
To put it simply, artificial intelligence (AI) is the study of using computers, other devices, and datasets to simulate human decision-making and problem-solving abilities. Computers have always been excellent at acquiring, storing, and performing basic calculations. However, computers can now take the data, process it, and draw logical conclusions thanks to artificial intelligence (AI).
Although the word “artificial intelligence” is frequently used as a catch-all, there are a few differences in the field:
The study of teaching machines to “learn” is known as machine learning. It is also capable of reasoning, acting, understanding, and planning.
“A type of machine learning that uses multi-layered neural networks to learn” is called “deep learning.” (This is the motivation behind IMGING at Loveland Innovation.)
Cognitive computing is a branch of artificial intelligence that specializes in thinking like a human. “Natural language processing and machine learning are utilized to facilitate more natural interactions between humans and machines.”
“The interdisciplinary field of data science combines computer science, statistics, mathematics, and business analysis to gather, organize, and analyze vast amounts of data to produce actionable insights.”
Let’s now discuss the application of AI to the insurance industry, concentrating on underwriting and claims.
How Insurance Companies Utilize AI To Handle Claims?
In the past, inspection reports were written and drawn by hand. These days, we can use AI—more especially, deep learning—along with phones and applications to collect property data, then store the results on the cloud. Insurance adjusters are able to maintain organization and standardize inspections with this new cross-collaboration strategy.
This basically means that technology will not take the place of people to conduct inspections and submit claims. Alternatively, adjusters can work more quickly and safely by utilizing AI in insurance claims. AI also lowers expenses, improves uniformity across claim data, and eliminates human activities through automation.
IMGING from Loveland Innovations, for instance, leverages AI to streamline the claims process in this way:
Automated: IMGING uses artificial intelligence (AI) to detect damage, which greatly streamlines the claims scoping process. The time savings of AI-assisted visual inspections save adjusters hundreds of hours annually and minutes each residence.
Consistent: When utilizing IMGING’s AI, which is accessible through IMGING on a mobile device or a drone, you will always receive the same data regardless of how often or by whom a property is inspected.
Cost-effective: AI shortens the time an adjuster spends at a property by streamlining the inspection process, which lowers LAE.
Safer: Adjusters can make adjustments to claims while on the ground securely when AI is combined with drone-based image acquisition.
Insurance Companies’ Use Of AI In Underwriting
The methods used by insurance companies to underwrite differ greatly. For instance, by employing data analytics, carriers like as Hippo and Lemonade have completely eliminated people from the equation. “We believe in replacing brokers and paperwork with bots and machine learning, and we now have the backing to unleash this formula across new products and geographies,” stated Daniel Schreiber, co-founder and CEO of Lemonade, about the company’s philosophies.
Businesses using only AI, like Lemonade and Hippo, are succeeding. These businesses have likewise suffered in a challenging insurance landscape. This strategy, nevertheless, carries more risk when used to expensive, unique, or historic homes. Because of this, premium insurers employ IMGING for loss and risk management tasks.
In high-value underwriting, personnel cannot be substituted. The optimal strategy, according to IMGING and businesses like Betterview, blends human-performed traditional underwriting with AI data. Traditional information gathering techniques are provided by a human person, while AI in insurance underwriting offers fresh data that was either unavailable in the past or very expensive to acquire. The lender has access to a thorough understanding of the assumed risk thanks to the two information sources—traditional assessment and AI data.
Insurance Companies’ Use Of AI To Improve Customer Experience
The customer experience is made up of several distinct elements. For the purposes of this discussion, however, we will focus on the usage of AI in insurance sales, customer support, and claim settlement time.
Sales Of Insurance
These days, customisation is everything. Consumers prefer to pay for the insurance they actually need, and insurance websites and apps are responding to this need by adding more customizability features that give streamlined, more affordable, and more specialized insurance options. AI has really improved client satisfaction and efficiency throughout the purchase process for some insurance types.
It’s Time To Go Home
For modest, clear claims, cutting out the middleman (a person) will expedite the settlement process. Lemonade claims that its bots can submit and settle claims without the need for human participation, as was previously mentioned. Human interaction and understanding, however, cannot be substituted when significant damage from recent storms is not immediately apparent and an examination is necessary.
Insurance Companies Use AI To Stop Fraud
It may surprise you to learn that insurance companies annually record $80 billion in false claims. Due to the significance of this, fraud prevention is a top concern for all insurance companies. Furthermore, careful claim investigation and sound underwriting are the best ways to stop fraud.
Undertaking
Carriers can guard against fraud by conducting handheld and aerial inspections of insured properties before to inclement weather and accidents. Once more, it’s critical to integrate human and artificial intelligence data in assessments of high-value properties.
Demands
Although filing claims via an app or website is handy, insurance companies must make sure the claims are legitimate. Finding fraud or mistakes in insurance claims takes a lot of time, money, and effort. AI may also be able to improve this procedure’ efficiency in certain circumstances.
AI can cross-reference and analyze internal and external databases in a couple of seconds to find anomalies. When evaluating a claim, however, there are some aspects that only a human can see. For this reason, insurance adjusters should be used in conjunction to AI data for all but the most obvious claims. True advancements will happen when deep learning models are routinely employed to reduce time while depending on adjusters’ judgment and experience to settle claims and deliver first-rate client experiences, rather than when basic AI is used for anomaly detection.
Without a doubt, AI and other emerging technologies may enhance client satisfaction and operations in the insurance industry. Furthermore, even while some insurance companies have successfully employed AI to take the role of human workers, many tasks still require the combination of AI data and human intuition and insights in order to accurately assess insurance claims, underwrite clients, deliver excellent customer service, and stop fraud.