Core Insurance, Risk Management
Article | August 4, 2022
There is no doubt that we are living in an era in which insurers have been called to transform their business offerings, infrastructure and operations. Successful transformation translates into new revenue opportunities, stronger customer relationships and sustained brand relevance. However, this need to evolve cannot be addressed through superficial changes. Leading insurers are transforming their core offerings to completely reimagine their role in the insurance landscape. As the nominations and winners for the Efma-Accenture Innovation in Insurance Core Insurance Transformation award show, leading insurers are starting their core transformation at the top, and applying it to every touchpoint of the business.
Nine pioneering nominees
The nine nominees in the core insurance transformation category lead core insurance transformation in various innovations across their value chain. The nominations were:
AXA for A.Iconic Claims
Discovery for AI Quote
RBC for their conversational AI Platform, driven by Personal Insights for Life Insurance Application
Generali for their fund transaction through blockchain innovation
FWD for the AI-Everywhere Smart Insurance Framework
China Life Insurance for an intelligent value evaluation system for salesforce
Multiasistencia for MACARENA, an innovative AI voicebot that provides100% automated First Notice of Loss in home insurance claims
Humania for their ground-breaking income insurance for accident and disability claims
Mapfre for Verbatims, a cognitive behavioural model that integrates live customer feedback
As can be seen, by the nominees above, AI is a leading technology in core insurance transformation. In fact, every innovation used technology in fresh, structured ways to create a lasting impact on their business. Let’s look closer at the winners, and what their innovations say about how to lead core insurance transformation in 2021.
Gold: Discovery
Discovery are transforming the way brokers and clients engage with them through the introduction of their AI Quote service. Users are able to upload a PDF or pictures of competitor insurance and investment documents via phone or computer, and receive an equivalent Discovery quote in seconds. The entire journey can be completed in under a minute. Brokers can take the quotes to their clients and where a client has completed the direct journey, they will be called by a sales agent to discuss the specifics of the quote and close the sale.
Romek Sadowski, Discovery Life’s Head of Technical Marketing says, “Ultimately, AI-powered optical character recognition (OCR) technology has been able to equip us with a seamless journey for clients, advisers and employees of the business as a whole. For clients, benefits include receiving a comparable quote in less than a minute and an improved understanding of Discovery’s products relative to the market. For advisers, key benefits include more accurate and consistent competitor comparisons, as well as a reduction in sales and quoting frictions. By automating the process of extracting data from policy documents and then converting it into comparable Discovery Life benefits, our advisers are able to spend less time on manual work and more time assisting our clients.
AI Quote has also created opportunities for Discovery Life to incorporate digital tools into many of our existing processes and create a single, seamless, digital journey for advisers and clients alike. Additional innovations, such as Virtual Underwriting which allows clients to undergo underwriting from anywhere they choose, have been developed and are being refined in order to make this goal for a seamless digital journey a reality.”
This is an important innovation in the South African insurance and investment landscape, which is highly developed and innovative, and characterised by frequent product updates and enhancements. While products are fine-tuned to meet customer needs, it’s difficult for brokers to keep track of various products in the market and how they compare from one competitor to another. Clients are also not in the position to understand how exactly their financial products compare against competitors.
“The South African insurance industry is a complex environment with a vast array of sophisticated products. Financial advisers are faced with numerous competitors each with multiple products and options, resulting in countless different quoting combinations. By automating the comparison process, AI Quote simplifies the new business experience for both advisers and clients, increasing conversion rates and improving stakeholder satisfaction. AI Quote ensures that clients who have existing policies with our competitors are quoted comparable Discovery benefits and gives advisers confidence that they are providing clients with the best possible advice when comparing policies.”
By removing sales frictions and automatically carrying out comparisons, Discovery’s AI Quote aims to enhance the company’s exposure to potential clients, attract brokers to sell Discovery products, improve the accuracy of replacements and promote Discovery’s brand as a market-leading innovator. With an efficient client- and broker-centric platform, Discovery has taken quoting to the next level.
The potential for AI, however, is just beginning to be untapped. Romek concludes, “The insurance landscape is evolving, and we have seen an influx in microinsurance providers, direct-to-customer insurers and niche players in the market. When it comes to life insurance, clients are faced with a dauntingly large number of options – and that number is increasing. Within such complexity, manual processing of data in order to generate benefit comparisons is simply inefficient. A key benefit of AI is that it can complement or replace manual processes and allows for a far more streamlined user experience.
Outside of the new business process, AI has displayed immense success in other areas such as customer service, underwriting and claims. Chatbots are now commonly used by insurers around the world to assist clients and answer their questions. Car insurance has been fundamentally changed through advancements in telematics. Big data is more readily available and, with the help of AI, can be utilised to make faster and more accurate pricing and underwriting decisions.”
Silver: Generali
Generali conducted a deep transformation in the way they transact with their counterparts and custodians through the use of blockchain technology.
Generali France currently processes 250 thousand orders on funds (to cover unit-linked policies) per year through classical schemes via custodians. The aim is to generate a direct link with asset managers for trading shares of funds without using the costly transfer agent of custodians.
With this transformation in mind, Generali France invested in a startup called Iznes, developing a trading platform on funds based on blockchain technology. With this as a foundation, Generali has begun to connect its IT and operations to the innovative platform.
The innovation can serve all middle and back offices of investment departments and asset management companies. It crunches transaction costs and creates a direct link between the buy-side and the sell-side. The total cost of Generali Unit-linked orders is expected to drop by half, supposing that 50% of counterparts join the platform.
Bronze: FWD
Led by their customers’ needs and vision to change the way people feel about insurance, FWD Group Data developed a ‘Smart Insurance Framework’ which sees the business embarking on a ‘AI-everywhere’ approach. The platform has transformed the entire insurance journey for both their customers and employees with the use of advanced technologies and AI power.
To create a simpler and smoother insurance experience for customers, FWD created a modern data architecture framework that improves operation efficiency internally and convenience externally. The Group Office Data Platform (GODP) streamlines and integrates all data into a single platform that is smart, secured and scalable. This platform allows business users to harness data, insights and run analytics across all our markets, to help support a spectrum of initiatives in FWD with data. The clever use of data allows FWD to evolve and predict customer responses more accurately, develop a better understanding of customer needs and behaviour, and in turn serve them better.
As the nominees and winners show, the insurance industry is embracing technology to pre-empt, analyze and streamline customer, broker and employee experiences. We would love to hear how you are transforming your core insurance operations. Submit your core insurance innovation to the Efma-Accenture Innovation in Insurance Awards for 2022.
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Insurance Technology
Article | August 9, 2022
The COVID-19 pandemic has caused unprecedented disruption to the insurance industry overall, dramatically curtailing business activity, upending the everyday lives of employees and customers, and more. However, companies that derive a substantial portion of their business from motor insurance have enjoyed stronger bottom-line results during the pandemic than in previous years. That’s because when sudden lockdowns kept drivers at home and off the road (see exhibit), claims plunged by 60 to 80 percent almost immediately. As restrictions began to lift, claim volumes subsequently bounced back, although they remain 20 to 30 percent lower than they were before the pandemic. The corresponding drop in payouts for claims was only partially offset by the refunds on premiums that insurers paid to customers to compensate them for traveling fewer miles.
Are motor claims in Europe about to rebound?
As of mid-2021, motor claims volume remains suppressed—at least for the time being. For insurers, this offers a short-term window to pursue or accelerate strategic initiatives aimed at establishing claims excellence, a key driver of profitability. These initiatives include transforming claims processes to improve customer experience, building digital capabilities, leveraging advanced analytics to improve decision-making, and reducing long-standing sources of leakage. Acting now will help insurers be prepared when vaccination rates across Europe accelerate, economies reopen, and both mobility and motor claims rebound.
Even as the pandemic recedes and business returns, insurers are likely to confront three persistent challenges that can be addressed—at least in part—by transforming claims management to improve profitability.
Top-line pressure will continue. Pandemic-related top-line pressure will likely continue for the foreseeable future. If history serves as a guide, commercial lines, which suffered from a temporary halt in business activity in the tourism, aviation, entertainment, and local business sectors, may be slow to recover. During the 2008 financial crisis, for instance, commercial lines took significantly longer to recover than personal lines. As for personal lines today, declines in everyday commuting have altered customers’ perceptions of the value of insurance: if they drive less, they expect to pay less. As noted above, some insurers have proactively offered their customers premium paybacks for reduced car usage—a change that could endure.
Digital is here to stay. Because of the pandemic, people shifted many everyday activities to remote channels and adopted new digital tools. For example, across Europe, 60 to 70 percent of consumers moved some of their shopping online, and most intend to perpetuate the new habit after the pandemic ends. This shift in customer behavior extended to engagement with insurers. In the United Kingdom, claims notifications filed via digital channels doubled during the pandemic, and insurers received 30 percent more digital inquiries than in the past. However, customers’ growing expectations for an end-to-end digital experience—with 24/7 service, instant feedback, and a user-friendly interface—still place most insurers in the position of playing catch-up. The large majority of customers still prefer to place a call rather than use digital self-service; in Europe, for example, more than 50 percent of claims are initiated when a customer contacts an agent. This preference could indicate that insurers have yet to fully digitize the claims handling process.
Inflation will affect claims costs. Insurers anticipate increased pressure on claims costs from multiple sources. First, car repair shops have suffered the knock-on effects of the COVID-19-induced drop in claims volume. Many received government help, but they also responded by increasing labor rates and margins on spare parts. The claims inflation rate currently sits at 4 to 5 percent. Ongoing cost pressure means repair shops are unlikely to reinstate their pre-COVID-19 price levels without some restructuring in the sector. In one scenario, insurers could step into the role of ecosystem orchestrators, significantly consolidating repair volumes and offering strong incentives—including extending insurance services to include maintenance and offering negotiated prices for parts and labor—to repair shops to participate. Meanwhile, insurers can analyze increased volumes of claims data to continually assess the performance of repair shops and then use those insights to guide customers to the best deals.
Even before the pandemic, insurers had made strides in improving the bottom line by increasing productivity and optimizing technical excellence, particularly via pricing. Now is the time to tackle claims. Claims organizations can use this period of lower claims volume to plan their strategic investments in advanced analytics transformation, to devise new digital talent strategies, and to improve their understanding of customer needs and expectations.
A complete suite of analytics and updated process automation—prerequisites for accurate, end-to-end automation—constitute the backbone of the new claims and customer experience model. The tools are evolving, driving automated decision-making along the entire claims handling process: routing, triaging, liability negotiation, cost estimating, deciding to repair or write off damaged vehicles, cash settlements, and fraud detection. All these areas will increasingly use digital and analytics as opposed to manual labor, changing the entire claims operating model.
Responding to customer demands for a seamless claims experience is a top priority. The pandemic has proved that customers are eager for and accepting of new digital experiences. They expect full transparency throughout the claims journey; minimal effort on their part (for example, very little engagement back and forth with the agent to get the claim resolved and receive payment); faster resolution of claims, perhaps including automated payments; and the ability to move seamlessly between the digital and physical worlds.
Furthermore, insurers can work to reduce leakage and improve the bottom line. Leakage takes many forms, including replacing rather than repairing a vehicle, offering a luxury replacement vehicle rather than a car that matches the customer’s vehicle class, and incurring costs for in-person loss assessments even in obvious cases for which pictures would suffice. Tackling leakage will entail enabling efficient detection of anomalies, selecting claims for detailed review, and empowering the claims organizations to efficiently close claims that cast no doubt.
Accomplishing these critical objectives will entail a shift from a scattered and often siloed approach using unintegrated digital and analytics tools to end-to-end digital- and analytics-enabled claims processes. On the front end, insurers will need to establish tools on par with the top digital services their customers use every day (for example, ride-hailing apps, social media, and digital banks).
On the back end, claims organization will need to invest in a suite of analytics engines to support automated decision-making to cut costs. The opportunity starts with claims prevention—using telematics and the Internet of Things to issue safety warnings and damage prevention tips—and continues throughout the claims processing journey, from providing customers with an easy digital first notice of loss interface and improving claims cost accuracy, to digital selection of a repair shop and automated payment processing and invoice checks. This relative lull in activity also gives insurers a good time to provide teams handling claims with the training they need to learn new processes and operate new digital tools.
Claims are already rebounding, so the clock is ticking for insurers. Building end-to-end digital and analytics solutions requires significant investment and will take substantial time. For claims organizations, it is critical to act now or risk missing the opportunity to emerge from the pandemic stronger than competitors.
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Insurance Technology
Article | July 15, 2022
Insurers of the future will play more of a risk avoidance role and less of a risk mitigation one.
The seemingly effective yet simple ideas of Netflix, Uber, Ola, Amazon, and many other ideas have forever transformed their industry segments. Digital transformation in the insurance industry is embraced in various ways to address the complex challenges posed by consumers, regulatory, and digital landscapes.
To keep up with insureds' demands, insurers have had to digitize various aspects of their operations. Any company that wants to stay competitive in today's market must meet customers where and when they need it. Insurance's digital transformation, powered by artificial intelligence, machine learning, predictive analytics, mobile services, live chat, and other technologies, enables insurers to do just that and will continue to change the industry for years.
Insurance Companies to Look at Value Chain through a Digital Lens:
Gain First-Mover Advantage:
Product introduction to gain a potentially sustainable competitive advantage. To achieve the first-mover advantage, the insurer should have two crucial capabilities: the ability to pinpoint unmet customer needs to guide product development and quickly adapt existing products to market forces.
Reduce IT costs to fund innovation:
When insurance companies refactor monolithic applications into modular micro services, application maintenance costs are reduced.
Grow revenue by differentiating the customer journey:
Electronic document capture and processing, robotic process automation (RPA), and robo-advisors improve serviceability and help businesses gain a competitive advantage.
Despite market participants' claims that the insurance industry was not an early adopter of digital transformation, new players, business models, and demanding customers are forcing the industry to embrace digital technologies. As a result, the global insurance market is expected to grow by 45% between 2022 and 2025.
Modern digital engineering does not occur in a vacuum; new products must be compatible with existing technologies and processes. Ascertain that the development team understands legacy insurance applications and the data required to integrate them with new, digitally engineered products.
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Insurance Technology
Article | August 9, 2022
Policy management assists insurance companies in staying on track to meet their client objectives by selling more policies and collecting more premiums. However, organizations using inadequate or fractured policy management software may be leaving a lot on the table. According to a study by Accenture, automation could save the insurance industry a cumulative $5-7 billion.
Are you facing hurdles in processing policies? Are some of the tasks like policy renewal, policy issuance, policy binding etc., that are supposedly automated still taking up time and resources away from the company? If so, it might be time to rethink your policy management. Here are three signs to look out for when this happens.
There are Hiccups in Your Policy Processing Processes
Being able to make universal changes and synergize different processes is a crucial aspect of policy management. If your insurance policy management tool isn’t able to keep up with the information or automate tasks like making updates and syncing information in real-time, it may be time to reconsider it and seek a solution that integrates Robotic Process Automation, or RPA. RPA tools enable organizations to reduce processing time for issuing, updating and cancelling a policy.
The Underwriting Stage Takes Up a Lot of Time
Underwriting can be a tedious, time-consuming process. With modern policy management solutions, it is possible to automate a number of tasks within underwriting. If your application is contributing to negligible or no reduction in the time it takes for underwriters to process everything. From the applicant’s credit history and scores to savings and loos-run reports, the underwriter needs to manually process this data. However, before that, the data needs to be reached in a streamlined manner. If your platform doesn’t support intelligent automation, digitalizing the underwriting process isn’t possible, in turn hampering the ability to access information when needed.
It is Difficult to Keep Up with Claims Processing
Claims management is an integral part of any insurance workflow, and its automation adds immense business value. If your claim settlement process is slow, filled with bottlenecks, and is impacting consumer experience, your existing platform isn’t doing any favours. Advanced claims processing solutions let you integrate features that align with the workflows of the insurer.
Customer Experience Isn’t Up to the Mark
Poor policy management processes are always reflected in the overall customer experience. Are you inundated with customer complaints, feedback about slow processing, and injured employee morale from poor performance and higher work load? The key is to take a good look at your current workflow and how it is affecting the end consumer. In a high-stress service like insurance, nothing less than an impeccable customer experience is a base expectation. The lack of responsiveness in your communication can result in a high customer churn rate. With a good policy management solution, your teams are able to stay on track and automate tasks when needed in order to keep customers updated.
Final Word
The insurance sector is a fast-paced business world and requires insurtech solutions that can handle the tremendous pressures and demands of customers. The four signs indicate that it might be time to introspect and, if needed, jumpstart your digital transformation journey.
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