Article | August 9, 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.
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.”
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.
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.
Article | July 13, 2022
Since 2010, as countries waded out of the recession of 2008, they enjoyed economic growth. Coupled with technological innovation, the global economy really got a boost. But, mirroring Nature’s cycles, it seems it is now time to hit a plateau and slow down. In this article, we explore why the slowdown could be happening and more importantly, what it means for us in the insurance industry.
Core Insurance, Risk Management
Article | August 4, 2022
In the financial services industry, reliance on big data has been increasing at a global level. The usage is not limited to marketing purposes alone but extends to fraud and risk prevention. Customer demand for personalised products is responsible for this shift. The future of insurance is also being shaped differently due to this. The current lengthy questionnaires won’t be needed at all. Just the data collected will help to accurately predict risk and create policies customised to the person’s needs.
Article | May 13, 2022
When building a practical framework, AI holds tremendous potential for insurers. Insurance companies can use AI to make better business decisions and provide differentiated customer experiences. To take advantage of AI, insurers need to know and clear the air about what is possible to do with AI.
Insurance with AI: Understand, Learn & Respond
Here are the ways insurers must use AI in their workforce and build a workable model.
Language: Insurers can use natural language processing using AI to extract legacy unstructured data and convert it into structured data. As a result, organizations can extract information and automatically classify it into different sections. In addition, AI can even learn and guide users to make decisions using machine learning and curtail errors.
Management: AI has emerged as a game-changer in managing the workforce, risks, and insurance functionalities and augmenting flawless products and services. While we talk about workforce management, AI puts tasks in one place, organizes them, and stores them under a data-proof model. So, no more scattered documents and pilling of files! AI is here, and it will transform and respond to businesses more efficiently with solution-driven aspects.
Efficiency: Businesses need to be proactive by having a smart workforce that adds efficiency. Before, the insurance sector had a sloppy work platform. But now, with the passing of time, they need to overcome and be more efficient at work. Using AI in your business will save a lot of time, energy and money. It will lead to faster processes that are error-free, accurate, and predictive, encourage crystal clear communication, and have fewer chances of fraud.
Insights on AI’s Role in Insurance
Existing and start-up insurance businesses will be fortified with the help of AI use cases. Let’s get some insights into AI's potential for businesses.
The global AI market is estimated to grow at a CAGR of 42.2% to $733.7 billion by 2027. The inclusion of AI in insurance records a growth of 56% until 2021.
AI has the potential to save insurance companies up to $390 billion by 2023.
In 2021, more than 40% of insurance businesses increased their expenditure on AI use cases and projects.
These statistics show that AI in insurance is only going to get bigger. Investments in AI are high on the priority lists of decision-makers.
The Futuristic Hold
The insurance industry is under enormous pressure in terms of digital transformation. The rate of transformation is consistently accelerating. This paints the future of the insurance industry with AI to be more progressive with improved products and services, which will eventually host numerous opportunities for exponential expansion and reach globally.