Simple ways AI can empower customer touchpoints in Insurance

Reading Time: 4 minutes

Introduction

Did you know that 77% of Insurance industry executives in a recent survey indicated they are in some stage of adopting AI in their value chain (Conning Inc, 2024)? In today’s fast-paced world, providing a personalized customer experience has never been more critical. In an era where 80% of customers say the experiences provided by a company are as important to them as its products and services (Salesforce Inc, 2024), the insurance industry is no exception. Artificial Intelligence can play a transformative role in revolutionizing how insurers interact with their customers. From virtual assistants to Emotion AI, these technologies can make insurance more accessible, efficient, and customer-centric. This list will delve into the various ways AI can reshape customer touchpoints in the insurance industry, enhancing interactions at every stage of the customer journey.

Personalized policy recommendations at your fingertips

Advanced machine learning algorithms analyze customer data to tailor insurance products to individual needs. This enables insurers to offer more accurate pricing and coverage options. Through precise risk assessments, customers receive policies that fit their specific circumstances, potentially increasing customer loyalty. For instance, Sproutt Insurance employs a 15-minute AI-powered assessment to connect individuals with suitable life insurance plans, bypassing the need for lengthy exams. Customers complete Sproutt’s Quality of Life Index, which considers lifestyle, emotional health, and nutrition. Leveraging up-to-date medical research, Sproutt provides personalized recommendations for life insurance products tailored to each individual’s circumstances. (Thomas, 2024)

24/7 virtual assistants: Your always-on insurance buddy

AI-powered chatbots and virtual assistants are revolutionizing customer service by offering instantaneous, round-the-clock support. These intelligent systems can handle policy inquiries, file claims, and even recommend products, all while significantly reducing wait times. For example, Afiniti enhances customer conversations by pairing callers with customer service representatives based on suitability rather than call sequence. The company’s AI technology uses extensive data to identify behavioral patterns and connects reps with callers accordingly. This personalized approach allows insurance companies to build stronger relationships with their customers.(Thomas, 2024)

Hyper-personalized customer journey mapping

AI crafts detailed customer profiles by analyzing many data points, helping insurers predict customer needs and behaviors. This leads to more targeted marketing strategies and tailored communication. By understanding their customers granularly, insurers can improve cross-selling and upselling opportunities. For example, Allstate assists small business owners through ABIE, the Allstate Business Insurance Expert. ABIE enables customers to obtain answers to queries and find essential documents using an onscreen avatar that engages in naturalistic conversations with insurance agents. Leveraging contextual knowledge and intelligent content, ABIE provides insights into optimal coverages for specific businesses and details about incidents covered by each policy. (Adriano, 2018)

Another example is INSHUR, which offers a mobile-first solution for purchasing car insurance specifically designed for TLC insurance (limo, taxi, rideshare drivers, etc). The INSHUR app, powered by AI, allows professional drivers to explore multiple quotes and select a policy that aligns with their requirements. Furthermore, users can seamlessly transfer existing policies, report claims, and receive real-time alerts. (INSHUR, 2024)

Proactive risk management: Preventing claims before they happen

AI is harnessing data from IoT devices to predict and prevent potential risks before they become claims. Telematics systems in auto insurance provide personalized driving feedback, encouraging safer driving habits. This proactive approach can lead to lower premiums and fewer claims. For instance, Nationwide Insurance introduced the SmartRide program, leveraging telemetry technology to encourage safe driving practices and reduce insurance expenses. Policyholders can install an app that determines driving trends that will in turn determine the discount based on four factors: miles driven, hard braking and acceleration, idle time, and nighttime driving. Nationwide thoroughly analyzes this information to assess each driver’s risk profile and adjusts insurance rates accordingly. Safe drivers may enjoy up to a 40% premium reduction, while those with riskier habits may receive smaller or no discounts(Nationwide Mutual Insurance Company, 2024).

Whether it’s safeguarding homes, health, or vehicles, AI-driven risk management is setting new standards in preventive care.

AI-powered underwriting: Faster, fairer, and accurate

Automating the underwriting process with AI streamlines risk assessments and enables the use of alternative data sources. This results in more inclusive and fair insurance offerings. Real-time policy adjustments based on changing risk factors become possible, ensuring that customers are always adequately covered and adequately priced. For example, John Hancock launched its Vitality program in the US, which is the first life insurance of its kind that rewards customers for their healthy choices and motivates them to live their best lives. Not only are there premium discounts, but the program also offers reward points for healthier choices. It can be cashed in for higher discounts on healthier foods, regular screenings and checkups, and gym memberships. (John Hancock, 2024)

Streamlined claims processing: From weeks to minutes

Gone are the days of lengthy claims processes. AI-powered technologies, such as image recognition and natural language processing, expedite the process. Automated damage assessment and fraud detection make claims handling faster and more efficient. Faster payouts mean happier customers who can rely on their insurance when they need it the most. For example, Lemonade does automated claims triaging by allowing first notice of loss through their mobile phone app. Their AI runs dozens of anti-fraud algorithms. If the claims are instantly approved by these algorithms, the AI then pays out the claim in seconds. Else, the AI hands over the claim to their human claims team. (Lemonade Insurance Company, 2024)

Emotion AI: Understanding and responding to customer sentiments

Emotion AI analyzes voice tone, facial expressions, and text sentiment to gauge customer emotions during interactions. This technology is particularly useful for enhancing customer satisfaction in call centers and digital platforms. Insurers can offer more empathetic and personalized service by understanding and responding to customer sentiments. Companies utilizing emotion AI report higher customer retention rates as they can address issues more effectively and build stronger client connections.

Conclusion

The transformative impact of AI on customer touchpoints in the insurance industry is undeniable. From virtual assistants that provide instant support to AI-powered underwriting, to proactive risk management, these technologies are revolutionizing customer interactions at every stage. The Fosfor Decision Cloud (FDC)is paving the way in enabling data-driven decision-making, helping insurers build and scale their own AI models for enhanced customer experiences. As the insurance landscape evolves, those who leverage AI will undoubtedly lead the charge in delivering superior customer service. Embracing AI is a competitive advantage and a necessity for staying relevant in today’s market, and you’d be at the leading edge of this sea-change in the industry with a powerful tool like the FDC.

References

Adriano, L. (2018, May 23). Allstate deploys AI chatbot to assist small business clients. Insurance Business. Retrieved from https://www.insurancebusinessmag.com

Conning Inc. (2024, March 11). Insights on AI and Transformative Technology. Hartford, Connecticut, USA. Retrieved from https://www.conning.com

INSHUR. (2024, July 11). About Us. Retrieved from https://inshur.com

John Hancock. (2024, July 11). Vitality. Retrieved from www.johnhancock.com

Lemonade Insurance Company. (2024, July 11). Claims. Retrieved from https://www.lemonade.com

Nationwide Mutual Insurance Company. (2024, July 11). SmartRide. Retrieved from www.nationwide.com

Salesforce Inc. (2024). State of the Connected Customer. Sixth Edition. Salesforce Inc. Retrieved from https://www.salesforce.com

Thomas, M. (2024, May 24). 29 AI Insurance Examples to Know. Built In. Retrieved from https://builtin.com

Author

Nikhita Rao

Senior Specialist – Program & Project management, Fosfor.

Nikhita Rao brings more than ten years of expertise in the core insurance industry, initially serving as an underwriter before transitioning to a broker role. Currently, she is a specialist in the field of Insurance and Risk Management Data Analysis. Nikhita is proficient in managing intricate data issues, utilizing Machine Learning techniques for their refinement, and subsequently providing custom-made, data-driven solutions. She merges analytical accuracy with innovative perspectives to analyze complex data sets and develop predictive models that reduce risks and drive business growth. Nikhita is committed to a client-focused approach, guaranteeing personalized solutions with explainability in decision-making processes. She expertly integrates data science methodologies with her knowledge of insurance, effectively converting data into tangible business benefits.

More on the topic

Read more thought leadership from our team of experts

Discovering the triple engine of credit intelligence

The accuracy of credit risk assessment stands as a critical pillar for the sustenance and growth of financial institutions.

Read more

Harnessing the power of GenAI for machine learning automation

Generative AI (GenAI) has become a game-changer in the realm of artificial intelligence, offering advanced capabilities that can significantly enhance machine learning automation workflows. In this article, we delve into how GenAI can be utilized to boost various stages of machine learning such as data augmentation, feature engineering, model training, evaluation, interpretability, automation, and interactive applications.

Read more

How modern data platforms are enabling enterprise DataOps

With the ever-increasing volume and complexity of data, extracting value from it has become more challenging. Organizations are facing challenges in providing the right set of data to the right team while maintaining data security at the same time. This presents an opportunity for organizations to become agile with their data management solution, provide the right data set to the correct domain team, and ensure collaboration among teams to get the maximum out of their data.

Read more
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners. View more
Cookies settings
Accept
Privacy & Cookie policy
Privacy & Cookies policy
Cookie name Active

What is a cookie?

A cookie is a small piece of data that a website asks your browser to store on your computer or mobile device. The cookie allows the website to “remember” your actions or preferences over time. On future visits, this data is then returned to that website to help identify you and your site preferences. Our websites and mobile sites use cookies to give you the best online experience. Most Internet browsers support cookies; however, users can set their browsers to decline certain types of cookies or specific cookies. Further, users can delete cookies at any time.

Why do we use cookies?

We use cookies to learn how you interact with our content and to improve your experience when visiting our website(s). For example, some cookies remember your language or preferences so that you do not have to repeatedly make these choices when you visit one of our websites.

What kind of cookies do we use?

We use the following categories of cookie:

Category 1: Strictly Necessary Cookies

Strictly necessary cookies are those that are essential for our sites to work in the way you have requested. Although many of our sites are open, that is, they do not require registration; we may use strictly necessary cookies to control access to some of our community sites, whitepapers or online events such as webinars; as well as to maintain your session during a single visit. These cookies will need to reset on your browser each time you register or log in to a gated area. If you block these cookies entirely, you may not be able to access gated areas. We may also offer you the choice of a persistent cookie to recognize you as you return to one of our gated sites. If you choose not to use this “remember me” function, you will simply need to log in each time you return.
Cookie Name Domain / Associated Domain / Third-Party Service Description Retention period
__cfduid Cloudflare Cookie associated with sites using CloudFlare, used to speed up page load times 1 Year
lidc linkedin.com his is a Microsoft MSN 1st party cookie that ensures the proper functioning of this website. 1 Day
PHPSESSID ltimindtree.com Cookies named PHPSESSID only contain a reference to a session stored on the web server When the browsing session ends
catAccCookies ltimindtree.com Cookie set by the UK cookie consent plugin to record that you accept the fact that the site uses cookies. 29 Days
AWSELB Used to distribute traffic to the website on several servers in order to optimise response times. 2437 Days
JSESSIONID linkedin.com Preserves users states across page requests. 334,416 Days
checkForPermission bidr.io Determines whether the visitor has accepted the cookie consent box. 1 Day
VISITOR_INFO1_LIVE Tries to estimate users bandwidth on the pages with integrated YouTube videos. 179 Days

Category 2: Performance Cookies

Performance cookies, often called analytics cookies, collect data from visitors to our sites on a unique, but anonymous basis. The results are reported to us as aggregate numbers and trends. LTI allows third-parties to set performance cookies. We rely on reports to understand our audiences, and improve how our websites work. We use Google Analytics, a web analytics service provided by Google, Inc. (“Google”), which in turn uses performance cookies. Information generated by the cookies about your use of our website will be transmitted to and stored by Google on servers Worldwide. The IP-address, which your browser conveys within the scope of Google Analytics, will not be associated with any other data held by Google. You may refuse the use of cookies by selecting the appropriate settings on your browser. However, you have to note that if you do this, you may not be able to use the full functionality of our website. You can also opt-out from being tracked by Google Analytics from any future instances, by downloading and installing Google Analytics Opt-out Browser Add-on for your current web browser: https://tools.google.com/dlpage/gaoptout & cookiechoices.org and privacy.google.com/businesses
Cookie Name Domain / Associated Domain / Third-Party Service Description Retention period
_ga ltimindtree.com Used to identify unique users. Registers a unique ID that is used to generate statistical data on how the visitor uses the web site. 2 years
_gid ltimindtree.com This cookie name is asssociated with Google Universal Analytics. This appears to be a new cookie and as of Spring 2017 no information is available from Google. It appears to store and update a unique value for each page visited. 1 day
_gat ltimindtree.com Used by Google Analytics to throttle request rate 1 Day

Category 3: Functionality Cookies

We may use site performance cookies to remember your preferences for operational settings on our websites, so as to save you the trouble to reset the preferences every time you visit. For example, the cookie may recognize optimum video streaming speeds, or volume settings, or the order in which you look at comments to a posting on one of our forums. These cookies do not identify you as an individual and we don’t associate the resulting information with a cookie that does.
Cookie Name Domain / Associated Domain / Third-Party Service Description Retention period
lang ads.linkedin.com Set by LinkedIn when a webpage contains an embedded “Follow us” panel. Preference cookies enable a website to remember information that changes the way the website behaves or looks, like your preferred language or the region that you are in. When the browsing session ends
lang linkedin.com In most cases it will likely be used to store language preferences, potentially to serve up content in the stored language. When the browsing session ends
YSC Registers a unique ID to keep statistics of what videos from Youtube the user has seen. 2,488,902 Days

Category 4: Social Media Cookies

If you use social media or other third-party credentials to log in to our sites, then that other organization may set a cookie that allows that company to recognize you. The social media organization may use that cookie for its own purposes. The Social Media Organization may also show you ads and content from us when you visit its websites.

Ref links:

LinkedInhttps://www.linkedin.com/legal/privacy-policy Twitterhttps://gdpr.twitter.com/en.html & https://twitter.com/en/privacy & https://help.twitter.com/en/rules-and-policies/twitter-cookies Facebookhttps://www.facebook.com/business/gdpr Also, if you use a social media-sharing button or widget on one of our sites, the social network that created the button will record your action for its own purposes. Please read through each social media organization’s privacy and data protection policy to understand its use of its cookies and the tracking from our sites, and also how to control such cookies and buttons.

Category 5: Targeting/Advertising Cookies

We use tracking and targeting cookies, or ask other companies to do so on our behalf, to send you emails and show you online advertising, which meet your business and professional interests. If you have registered on our websites, we may send you emails, tailored to reflect the interests you have shown during your visits. We ask third-party advertising platforms and technology companies to show you our ads after you leave our sites (retargeting technology). This technology allows us to make our website services more interesting for you. Retargeting cookies are used to record anonymized movement patterns on a website. These patterns are used to tailor banner advertisements to your interests. The data used for retargeting is completely anonymous, and is only used for statistical analysis. No personal data is stored, and the use of the retargeting technology is subject to the applicable statutory data protection regulations. We also work with companies to reach people who have not visited our sites. These companies do not identify you as an individual, instead rely on a variety of other data to show you advertisements, for example, behavior across websites, information about individual devices, and, in some cases, IP addresses. Please refer below table to understand how these third-party websites collect and use information on our behalf and read more about their opt out options.
Cookie Name Domain / Associated Domain / Third-Party Service Description Retention period
BizoID ads.linkedin.com These cookies are used to deliver adverts more relevant to you and your interests 183 days
iuuid demandbase.com Used to measure the performance and optimization of Demandbase data and reporting 2 years
IDE doubleclick.net This cookie carries out information about how the end user uses the website and any advertising that the end user may have seen before visiting the said website. 2,903,481 Days
UserMatchHistory linkedin.com This cookie is used to track visitors so that more relevant ads can be presented based on the visitor’s preferences. 60,345 Days
bcookie linkedin.com This is a Microsoft MSN 1st party cookie for sharing the content of the website via social media. 2 years
__asc ltimindtree.com This cookie is used to collect information on consumer behavior, which is sent to Alexa Analytics. 1 Day
__auc ltimindtree.com This cookie is used to collect information on consumer behavior, which is sent to Alexa Analytics. 1 Year
_gcl_au ltimindtree.com Used by Google AdSense for experimenting with advertisement efficiency across websites using their services. 3 Months
bscookie linkedin.com Used by the social networking service, LinkedIn, for tracking the use of embedded services. 2 years
tempToken app.mirabelsmarketingmanager.com When the browsing session ends
ELOQUA eloqua.com Registers a unique ID that identifies the user’s device upon return visits. Used for auto -populating forms and to validate if a certain contact is registered to an email group . 2 Years
ELQSTATUS eloqua.com Used to auto -populate forms and validate if a given contact has subscribed to an email group. The cookies only set if the user allows tracking . 2 Years
IDE doubleclick.net Used by Google Double Click to register and report the website user’s actions after viewing clicking one of the advertiser’s ads with the purpose of measuring the efficiency of an ad and to present targeted ads to the user. 1 Year
NID google.com Registers a unique ID that identifies a returning user’s device. The ID is used for targeted ads. 6 Months
PREF youtube.com Registers a unique ID that is used by Google to keep statistics of how the visitor uses YouTube videos across different web sites. 8 months
test_cookie doubleclick.net This cookie is set by DoubleClick (which is owned by Google) to determine if the website visitor’s browser supports cookies. 1,073,201 Days
UserMatchHistory linkedin.com Used to track visitors on multiple websites, in order to present relevant advertisement based on the visitor’s preferences. 29 days
VISITOR_INFO1_LIVE youtube.com 179 days
Third party companies Purpose Applicable Privacy/Cookie Policy Link
Alexa Show targeted, relevant advertisements https://www.oracle.com/legal/privacy/marketing-cloud-data-cloud-privacy-policy.html To opt out: http://www.bluekai.com/consumers.php#optout
Eloqua Personalized email based interactions https://www.oracle.com/legal/privacy/marketing-cloud-data-cloud-privacy-policy.html To opt out: https://www.oracle.com/marketingcloud/opt-status.html
CrazyEgg CrazyEgg provides visualization of visits to website. https://help.crazyegg.com/article/165-crazy-eggs-gdpr-readiness Opt Out: DAA: https://www.crazyegg.com/opt-out
DemandBase Show targeted, relevant advertisements https://www.demandbase.com/privacy-policy/ Opt out: DAA: http://www.aboutads.info/choices/
LinkedIn Show targeted, relevant advertisements and re-targeted advertisements to visitors of LTI websites https://www.linkedin.com/legal/privacy-policy Opt-out: https://www.linkedin.com/help/linkedin/answer/62931/manage-advertising-preferences
Google Show targeted, relevant advertisements and re-targeted advertisements to visitors of LTI websites https://policies.google.com/privacy Opt Out: https://adssettings.google.com/ NAI: http://optout.networkadvertising.org/ DAA: http://optout.aboutads.info/
Facebook Show targeted, relevant advertisements https://www.facebook.com/privacy/explanation Opt Out: https://www.facebook.com/help/568137493302217
Youtube Show targeted, relevant advertisements. Show embedded videos on LTI websites https://policies.google.com/privacy Opt Out: https://adssettings.google.com/ NAI: http://optout.networkadvertising.org/ DAA: http://optout.aboutads.info/
Twitter Show targeted, relevant advertisements and re-targeted advertisements to visitors of LTI websites https://twitter.com/en/privacy Opt out: https://twitter.com/personalization DAA: http://optout.aboutads.info/
Save settings
Cookies settings