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In Age of Disruption, What Is Insurance?

“Somehow we have created a monster, and it’s time to turn it on its head for our customers and think about providing some certainty of protection.” – Inga Beale, CEO, Lloyds of London

In an early-morning plenary session at this year’s InsureTech Connect in Las Vegas, Rick Chavez, partner and head of digital strategy acceleration at Oliver Wyman, described the disruption landscape in insurance succinctly: while the first phase of disruption was about digitization, the next phase will be about people. In his words, “digitization has shifted the balance of power to people,” forcing the insurance industry to radically reorient itself away from solving its own problems toward solving the problems of its customer. It’s about time.

For the 6,000-plus attendees at InsureTech Connect 2018, disruption in insurance has long been described in terms of technology. Chavez rightly urged the audience to expand its definition of disruption and instead conceive of disruption not just as a shift in technology but as a “collision of megatrends”–technological, behavioral and societal–that is reordering the world in which we live, work and operate as businesses. In this new world order, businesses and whole industries are being refashioned in ways that look entirely unfamiliar, insurance included.

This kind of disruption requires that insurance undergo far more than modernization, but a true metamorphosis, not simply shedding its skin of bureaucracy, paper applications and legacy systems but being reborn as an entirely new animal, focused on customers and digitally enabled by continuing technological transformation.

In the new age of disruption …

1. Insurance is data

“Soon each one of us will be generating millions of data sets every day – insurance can be the biggest beneficiary of that” – Vishal Gondal, GOQUii

While Amazon disrupted the way we shop, and Netflix disrupted the way we watch movies, at the end of the day (as Andy G. Simpson pointed out in his Insurance Journal recap of the conference) movies are still movies, and the dish soap, vinyl records and dog food we buy maintain their inherent properties, whether we buy them on Amazon or elsewhere. Insurance, not simply as an industry but as a product, on the other hand is being fundamentally altered by big data.

At its core, “insurance is about using statistics to price risk, which is why data, properly collected and used, can transform the core of the product,” said Daniel Schreiber, CEO of Lemonade, during his plenary session on day 2 of the conference. As copious amounts of data about each and every one of us become ever more available, insurance at the product level– at the dish soap/dog food level–is changing.

While the auto insurance industry has been ahead of the curve in its use of IoT-generated data to underwrite auto policies, some of the most exciting change happening today is in life insurance, as life products are being reconceived by a boon of health data generated by FitBits, genetic testing data, epigenetics, health gamification and other fitness apps. In a panel discussion titled “On the Bleeding Edge: At the Intersection of Life & Health,” JJ Carroll of Swiss RE discussed the imperative of figuring out how to integrate new data sources into underwriting and how doing so will lead to a paradigm shift in how life insurance is bought and sold. “Right now, we underwrite at a single point in time and treat everyone equally going forward,” she explained. With new data sources influencing underwriting, life insurance has the potential to become a dynamic product that uses health and behavior data to adjust premiums over time, personalize products and service offerings and expand coverage to traditionally riskier populations.

Vishal Gandal of GOQuii, a “personalized wellness engine” that is partnering with Max Bupa Insurance and Swiss Re to offer health coaching and health-management tools to customers, believes that integrating data like that generated by GOQuii will “open up new risk pools and provide products to people who couldn’t be covered before.” While some express concern that access to more data, especially epigenetic and genetic data, may exclude people from coverage, Carroll remains confident that it is not insurers who will benefit the most from data sharing, but customers themselves.

See also: Is Insurance Really Ripe for Disruption?  

2. Insurance is in the background

“In the future, insurance will buy itself automatically” – Jay Bergman

Some of the most standout sessions of this year’s InsureTech Connect were not from insurance companies at all, but from businesses either partnering with insurance companies or using insurance-related data to educate their customers about or sell insurance to their customers as a means of delivering more value.

Before unveiling a new car insurance portal that allows customers to monitor their car-related records and access a quote with little to no data entry, Credit Karma CEO Ken Lin began his talk with a conversation around how Credit Karma is “more than just free credit scores,” elucidating all of the additional services they have layered on top of their core product to deliver more value to their customers. Beyond simply announcing a product launch, Lin’s talk was gospel to insurance carriers, demonstrating how a company with a fairly basic core offering (free credit scores) can build a service layer on top to deepen engagement with customers. It’s a concept that touches on what was surely one of the most profound themes of the conference–that, like free credit scores, insurance only need be a small piece of a company’s larger offering. This may mean embedding insurance into the purchase of other products or services (i.e., how travel insurance is often sold) or it may mean doing what Credit Karma has done and layering on a service offering to deepen engagement with customers and make products stickier.

Assaf Wand, CEO of the home insurance company Hippo, spoke to both of these models in his discussion with David Weschler of Comcast about how their two companies are partnering to make insurance smarter and smart homes safer. When asked about what the future of insurance looks like, Wand put it plainly when he said: “Home insurance won’t be sold as insurance. It will be an embedded feature of the smart home.” Jillian Slyfield, who heads the digital economy practice at Aon, a company that is already partnering with companies like Uber and Clutch to insure the next generation of drivers, agrees: “We are embedding insurance into these products today.”

Until this vision is fully realized, companies like Hippo are doing their part to make their insurance products fade into the background as the companies offer additional services for homeowners, “Can I bring you value that you really care about?” Wand asked, “Wintering your home, raking leaves, these are the kinds of things that matter to homeowners.”

3. Insurance is first and foremost a customer experience

“The insurance industry has to redefine our processes… go in reverse, starting with the customer and re-streamlining our processes around them” – Koichi Nagasaki, Sompo

To many outside the insurance industry, the idea of good customer experience may seem unremarkable, but for an industry that has for so long been enamored by the ever-increasing complexity of its own products, redefining processes around customers is like learning a foreign language as a middle-aged adult. It’s hard, and it takes a long time, and a lot of people aren’t up to the task.

The insurance industry has been talking about the need for customer-centricity for a while now, but many companies continue to drag their feet. But customer-centricity is and remains more than a differentiator. It’s now table stakes. How this plays out for the industry will look different for different companies. Some will turn to partnerships with insurtechs and other startups to embed their products into what are already customer-centric experiences and companies. Chavez of Oliver Wyman would rather see the industry “disrupt itself,” as he believes it’s critical that companies maintain the customer relationship. In his plenary sessions, he cited the German energy company Enercity as a company that disrupted itself. Operating in a similarly regulated industry, rather than becoming just a supplier of energy, the company invested heavily in its own digital strategy to become a thought leader in the energy space, to be a trusted adviser to its customer and to deliver an exceptional digital experience that, among other things, leverages blockchain technology to accept bitcoin payments from customers. For Chavez, insurtech is already a bubble, and, “If you want to succeed and thrive in a bubble, make yourself indispensable.” The only way to do this, he believes, is to maintain ownership over the customer experience, because, in today’s digital economy, the customer experience is the product.

But to own the customer experience and succeed will require insurance companies to completely reorient their business practices and processes – to start with the customer and the experience and work backward toward capabilities. In the words of Han Wang of Paladin Cyber, who spoke on a panel about moving from selling products to selling services, “It’s always a questions of what does the customer want? How do they define the problem? And what is the solution?”

4. Insurance is trust

“The world runs on trust. When we live in a society where we have lots of trust, everyone benefits. When this trust goes away, everyone loses.” – Dan Ariely, Lemonade

During a faceoff between incumbents and insurtechs during one conference session, Dylan Bourguignon, CEO of so-sure cinched the debate with a single comment, calling out large insurance carriers: “You want to engage with customers, yet you don’t have their trust. And it’s not like you haven’t had time to earn it.” This, Bourguignon believes, is ultimately why insurtechs will beat the incumbents.

Indeed, the insurtech Lemonade spent a fair amount of stage time preaching the gospel of trust. Dan Ariely, behavioral economist and chief behavior officer at Lemonade, delivered a plenary session entirely devoted to the topic of trust. He spoke about trust from a behavioral standpoint, explaining how trust creates equilibrium in society and how, when trust is violated, the equilibrium is thrown off. Case in point: insurance.

Insurance, he explained, has violated consumer trust and has thrown off the equilibrium–the industry doesn’t trust consumers, and consumers don’t trust the industry, a vulnerability that has left the insurance industry open to the kind of disruption a company like Lemonade poses. As an industry, insurance has incentives not to do the thing it has promised to do, which is to pay out your claims. And while trust is scarcely more important in any industry as it is in insurance, save in an industry like healthcare, the insurance industry is notoriously plagued by two-way distrust.

What makes Lemonade stand out is that it has devised a system that removes the conflict of interest germane to most insurance companies – as a company, it has no incentives to not pay out customer claims. In theory, profits are entirely derived by taking a percentage of the premium; anything left over that does not go to pay out a claim is then donated to charity. The result: If customers are cheating, they aren’t cheating a company, they are cheating a charity. Ariely described several instances where customer even tried to return their claims payments after finding misplaced items they thought had been stolen. “How often does this happen in your companies?” he asked the audience. Silence.

And it’s not just new business models that will remedy the trust issues plaguing insurance. It’s new technology, too. In a panel titled “Blockchain: Building Trust in Insurance,” executives from IBM, Salesforce, Marsh and AAIS discussed how blockchain technology has the capacity to deepen trust across the industry, among customers, carriers, solutions providers and underwriters by providing what Jeff To of Salesforce calls an “immutable source of truth that is trusted among all parties.” Being able to easily access and trust data will have a trickle down effect that will affect everyone, including customers, employees and the larger business as a whole–reducing inefficiencies, increasing application and quote-to-bind speed, eliminating all the hours and money that go into data reconciliation and ultimately making it easier for carriers to deliver a quality customer experience to their customers.

See also: Disruption of Rate-Modeling Process  

While the progress in blockchain has been incremental, the conference panel demoed some promising use cases in which blockchain is already delivering results for customers, one example being acquiring proof of insurance for small businesses or contractors through Marsh’s platform. With blockchain, a process that used to span several days has been reduced to less than a minute. Experiences like these–simple, seamless and instantaneous – are laying the groundwork for carriers to begin the long road to earning back customer trust. Blockchain will likely play an integral role this process.

5. Insurance is a social good

“We need insurance. It is one of the most important products for financial security.” – Dan Ariely, Lemonade

For all of the the naysaying regarding state of the industry that took place at InsureTech Connect, there were plenty of opportunities for the industry to remind itself that it’s not all bad, and its core insurance is something that is incredibly important to the stability of people across the globe. Lemonade’s Schreiber called it a social good, while Ariely told his audience, “We need insurance. It is one of the most important products for financial security.” Similar sentiments were expressed across stages throughout the conference.

In fact, in today’s society, income disparity is at one of the highest points in recent history, stagnating wages are plaguing and diminishing the middle class, more people in the U.S. are living in poverty now than at any point since the Great Depression, the social safety net is shrinking by the minute and more than 40% of Americans don’t have enough money in savings to cover a $400 emergency, so insurance is more important than ever.

For Inga Beale, CEO of Lloyds of London, insurance has a critical role to play in society, “It goes beyond insurance–it’s about giving people money and financial independence,” she said during a fireside chat. She went on to describe findings from recent research conducted by Lloyds, which determined that, by the end of their lives, men in the U.K. are six times better off financially than women. When designed as a tool to provide financial independence and equality for everyone, insurance can play an important role in addressing this disparity. While this has been a focus in emerging markets, financial stability and independence is often assumed in more developed markets, like the U.S. and Europe. In reality, it is a problem facing all markets, and increasingly so. Ace Callwood, CEO of Painless1099, a bank account for freelancers that helps them save money for taxes, agrees that insurance has an important role to play. “It’s our job to get people to a place where they can afford to buy the products we are trying to sell,” he said.

You can find the article originally published here.

Time to Reinvent Your Products

In my previous article, I stressed that a new commercial insurance model is about breaking down existing operations and rebuilding a collaborative and innovative model. The rebuilt model would improve operational efficiencies, control costs, create innovative products, improve customer engagement experiences and produce sustained profitability. But, if you think operational silos are challenging, I suggest you suit up and put on your protective gear because I’m about to tackle the cold reality of commercial insurance product silos!

Should the market simplify risk management solutions? Duh!!!

The role of a corporate risk manager is to protect the employees, clients and balance sheet of his or her company. The manager looks to the commercial insurance markets for risk management solutions but, instead, receives product responses that create a patchwork of protection.

When the markets can only provide products in lieu of risk management solutions, a variety of customers’ risk exposures are left uninsured — they must now consider self-insuring or creating alternative financing vehicles, including captives. Creating risk management products and simplifying risk management solutions for corporate customers should be the goal of any commercial insurance broker or company.

See also: Leveraging AI in Commercial Insurance

If companies eliminated product and service silos to create a collaborative risk solutions environment, big data collection and analysis could be implemented across all existing products and customers’ uninsured exposures. This collaborative environment would also minimize current big data challenges, including:

  • Unstructured data identification
  • Weak processes to capture and manage data
  • Poor data quality and accuracy
  • Unused data

By eliminating product silos, I’m not suggesting that you eliminate your product experts. On the contrary, each product expert has a vital role to play in challenging and supporting how new and existing products will function.

The removal of internal product silos broadens products expertise and knowledge, thus enabling product experts to further comprehend the risks that corporate customers manage every day.

You already have the clients – start implementing the tools to create risk management solutions!

Currently, commercial insurance brokers and companies are better placed to respond to insurtech competition as, unlike most insurtech startups, they have a large pool of existing customers and the ability to access or create extensive risk management data. When combined with additional imported data such as ISO, ERC and AAIS, an integrated dynamic financial model (IDFM) can be easily created to capture industry, claims, exposure and risk management patterns.

Capturing and codifying risk management data is absolutely crucial, as it elevates existing industry claims and exposure models. In addition to creating new risk management products, the IDFM data outcomes can also create a variety of new risk management services, thus creating additional revenues.

I’m not a data scientist, but I have always been fascinated with risk identification. Many years ago (more than I care to remember!!!), I created an IDFM model with the crudest of tools. The model outcomes enabled me to create risk management products and services that customers want to buy and eliminated the “one-size-fits-all” product response embedded in the commercial insurance market.

Now, by incorporating new technologies such as AI, machine learning, bots and smart sensors to improve risk management analysis, this model becomes even more dynamic! These technological additions to the IDFM model, along with the use of blockchain, enhance the model’s ability to:

  • Gather and store even more data elements;
  • Improve decisions based on that data; and
  • Provide relevant answers to improve the company’s abilities to create risk management products.

Additionally, the IDFM model enables the creation of revenue streams such as usage-based and peer-to-peer commercial insurance. These opportunities will be further examined in future articles.

All geographic regions are not the same! Expand your mind and create something new!

The ability to capture and codify the elements noted in the IDFM model, including the client risk management review, is particularly important for global commercial insurance companies and brokers expanding into Africa, Asia and Latin America.

See also: Innovation Challenge for Commercial Lines  

Risk managers in these regions continue to express their frustration with market responses as local agents, brokers and insurance companies are not expanding their product portfolios. Global companies are extremely slow in creating products that are specific for the risk management needs of these diverse local markets – instead, companies aggressively sell Europe-centric or North American-centric policies while supporting low margins. These diverse local markets would benefit from improved innovation and increased investment in technology and will be explored further in future articles.

And finally ….

Commercial insurance brokers and companies must stop viewing insurance through the prism of products and, instead, recognize its true potential as a service. Remember, it is all about the customer! Or, simply put, no customers, no business.

Cutting renewal prices and watching margins decline every year is not a sustainable business plan for incumbents or insurtech companies. Instead, the commercial insurance market must break down and rebuild product and operational silos to create a collaborative and innovative model to improve their abilities to package complex risk management products and services. Products and services can be presented in a simpler/intuitive manner, with plain language and processes that clearly manage customer expectations and increase customer satisfaction. Breaking down existing products and operations and rebuilding a collaborative and innovative model will also improve operational efficiency, control costs, increase revenue streams and produce sustained profitability. Let’s break down these barriers!

Insurance And Manufacturing: Lessons In Software, Systems, And Supply Chains

Recently, my boss Steve and I were talking about his early career days with one of those Big 8, then Big 6, then Big 5, then Big 4 intergalactic consulting firms. Steve came out of college with an engineering degree, so it was natural to start in the manufacturing industry. Learning about bills of material, routings, design engineering, CAD/CAM … “Ah yes,” he recalled, “Those were heady days.” And all those vendor-packaged manufacturing ERP systems that were starting to take the market by storm.

Eventually Steve found his way into the insurance industry, and thus began our discussion. One of the first things that struck Steve was the lack of standard software packages in the insurance industry. I don’t mean the lack of software vendors — there are plenty of those. Seemingly, though, each software solution was a one-off. Or custom. Or some hybrid combination. “Why?” we wondered.

The reasons, as we now know, were primarily reflected in an overall industry mindset:

  • A “but we are unique!” attitude was pervasive. Companies were convinced that if they all used the same software, there would be little to differentiate themselves from one another.
  • There was also an accepted industrywide, one-off approach. Conversations went something like this: “XYZ is our vendor. We really don’t like them. Taking new versions just about kills us. We don’t know why we even pay for maintenance, but we do.”

But the chief reason for a lack of standard software was the inability to separate product from process. What does this mean?

Well, you can certainly envision that your auto product in Minnesota is handled differently than your homeowners’ product in California. I’m not referring to just the obvious elements (limits, deductibles, rating attributes), but also the steps required for underwriting, renewal, and cancellation. Separation of product from process must go beyond the obvious rate/rule/form variations to also encompass internal business and external compliance process variations.

But there’s still plenty of processing — the heavy lifting of transaction processing — that’s the same and does not vary. For example, out-of-sequence endorsement processing is not something that makes a company unique and therefore would not require a custom solution.

Where the rubber meets the road, and where vendor packages have really improved their architecture over the last several years, is by providing the capability in their policy admin systems for companies to “drop” very specific product information, along with associated variations, into a very generic transaction system.

Once product “components” (digitized) are separated from the insurance processing engine, and once companies have a formal way to define them (standard language), they can truly start making their products “unique” with reuse and mass customization. Much like those manufacturing bills of material and routings looked to Steve way back when.

This separation of policy from product has been a key breakthrough in insurance software. So what is an insurance product, at least in respect to systems automation?

From Muddled To Modeled
The typical scenario to avoid goes something like this:

  • The business people pore over their filings and manuals and say, “This is the product we sell and issue.”
  • The IT people pore over program code and say, “That’s the product we have automated.”
  • The business people write a lot of text in their word processing documents. They find a business analyst to translate it into something more structured, but still text.
  • The business analyst finds a designer to make the leap from business text to IT data structures and object diagrams.
  • The designer then finds a programmer to turn that into code.

One version of the truth? More like two ships passing, and it’s more common than you may think. How can organizations expect success when the product development process is not aligned? Without alignment, how can organizations expect market and compliance responsiveness?

What’s the alternative? It revolves around an insurance “product model.” Much like general, industry-standard data models and object models, a product model uses a precise set of symbols and language to define insurance product rates, rules, and forms — the static or structural parts of an insurance product. In addition, the product model must also define the actions that are allowed to be taken with the policy during the life of the contract — the dynamic or behavioral aspect of the product model. So for example, on a commercial auto product in California, the model will direct the user to attach a particular form (structure) for new business issuance only (actions).

Anyone familiar with object and data modeling knows there are well-defined standards for these all-purpose models. For insurance product modeling, at least currently, such standards are more proprietary, such as IBM’s and Camilion’s models, and of course there are others. It is interesting to note that ACORD now has under its auspices the Product Schema as the result of IBM’s donation of aspects of IAA. Might this lead to more industry standardization?

With product modeling as an enabler, there’s yet another key element to address. Yes, that would be the product modelers — the people responsible for making it work. Product modeling gives us the lexicon or taxonomy to do product development work, but who should perform that work? IT designers with sound business knowledge? Business people with analytical skills? Yes and yes. We must finally drop the history of disconnects where one side of the house fails to understand the other.

With a foundation of product modeling and product modelers in place, we can move to a more agile or lean product life cycle management approach — cross-functional teams versus narrow, specialized skills; ongoing team continuity versus ad hoc departmental members; frequent, incremental product improvements versus slow, infrequent, big product replacements.

It all sounds good, but what about the product source supplier — the bureaus?

Supply Chain: The Kinks In Your Links
Here is where the comparison between insurance and manufacturing takes a sharp turn. In their pursuit of quality and just-in-time delivery, manufacturers can make demands on their supply chain vendors. Insurance companies, on the other hand, are at the mercy of the bureaus. ISO, NCCI, and AAIS all develop rates, rules, and forms, of course. They then deliver these updates to their member subscribers via paper manuals or electronically via text.

From there the fun really begins. Insurance companies must log the info, determine which of their products and territories are impacted, compare the updates to what they already have implemented and filed, conduct marketing and business reviews, and hopefully and eventually, implement at least some of those updates.

Recent studies by Novarica and SMA indicate there are approximately 3,000 to 4,000 changes per year in commercial lines alone. The labor cost to implement just one ISO circular with a form change and a rate change is estimated to be $135,000, with the majority of costs in the analysis and system update steps.

There has got to be a better way …

ISO at least has taken a step in right direction with the availability of its Electronic Rating Content. In either Excel or XML format, ISO interprets its own content to specify such constructs as premium calculations (e.g., defined order of calculation, rounding rules), form attachment logic (for conditional forms), and stat code assignment logic (to support the full plan).

A step in the right direction, no doubt. But what if ISO used a standard mechanism and format to do this? ACORD now has under its control the ACORD Product Schema. This is part of IBM’s fairly recent IAA donation. It provides us a standard way to represent the insurance product and a standard way to integrate with policy admin systems. What if ISO and the other key providers in the product supply chain started it all off this way?

Dream on, you say? While you may not have the clout to demand that the bureaus change today, you do pay membership fees, and collectively the members have a voice in encouraging ongoing improvements in the insurance “supply chain.”

In the meantime, the goal to be lean and agile with product life cycle management continues. We must respond quickly and cost-effectively to market opportunities, policyholder feedback, and regulatory requirements. That all starts at the product source … but it doesn’t end there. So while the supply chain improves its quality and delivery, insurance companies will need to gain efficiencies throughout every corner of their organizations in order to achieve those lean goals.

In writing this article, David collaborated with his boss Steve Kronsnoble. Steve is a senior manager at Wipfli and an expert in the development, integration, and management of information technology. He has more than 25 years of systems implementation experience with both custom-developed and packaged software using a variety of underlying technologies. Prior to Wipfli, Steve worked for a major insurance company and leverages that experience to better serve his clients.