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3 Steps to Succeed at Open Innovation

Every insurtech startup seems to have been part of a program. So, how to create a compelling and differentiated innovation program?

2018 was the year that insurance embraced open innovation. From medium-sized insurers to Fortune 50 incumbents, everyone seemed to be launching a challenge, accelerator or incubator -- to the point where we now have too much of a good thing. This has led to a certain ennui in the startup and VC ecosystem. Every insurtech startup, the good, the bad and the ugly, seems to have been part of one or more programs. It is hardly surprising that new programs are greeted with a collective shrug. In such a context, how can you create a compelling and differentiated program? Simply put, a compelling program creates immediate business value for both the program sponsor and the program participant. The keyword is "immediate" -- which means the program focus should be on core business processes and customer experience. In other words, ROI should mean return on investment, not reservoir of ideas! Programs to scout for new business models (like accelerators and incubators) have their place in an innovation portfolio but do not add immediate value -- certainly not to the sponsor (and rarely to the participant). In general, it is better to have a narrower focus on digitization and differentiation, before trying to tackle disruption. See also: Era of Insurance Innovation Is Upon Us   For the program to be more than PR spin, it should fulfill the following conditions:
  1. The program should tackle well-defined, real business problems. As a rule of thumb, the problem should be costing the incumbent north of $1 million per year. This size of problem ensures that there is scope for a long-term relationship and a significant opportunity for the startup partner. The problem should also be well-defined -- the improvement metric should be clear. The Netflix prize, which required a 10% improvement to Netflix’s own recommendation engine, is a good example.
  2. The pilot should be with real data and real customers. The end stage of the program has to be more than a demo day, with abstract promises of next steps. A differentiated program will guarantee a pilot that interfaces with the business and is implemented in a live environment. By definition, this will require certain maturity on the startup partner side, which is a good thing.
  3. The pilot should have a real budget. No more "toy prizes" of $20,000 to $50,000. A pilot should have a budget of at least $100,000 to create meaningingful skin in the game, so that both sides are serious about making the pilot a success.
Finally, we need a new brand for programs that meet these conditions. I suggest "implementation challenges" to make clear that the program is about creating value in the here and now. See also: With Innovation, Keep It Simple, Stupid   A well-run implementation challenge can add significant value to both the sponsor and the participant: For the participant:
  1. A "lighthouse" customer -- an actual implementation at a Fortune 500 company makes it easier for the startup to attract both investments and other customers.
  2. Revenue leverage -- depending on the type of product, investors attach a multiple of 8X to 10X. Hence, a $100,000 contract can create a $1 million increase in valuation
For the sponsor:
  1. Access to world-class talent and technology
  2. Kickstarting the digital transformation process
I hope to see more implementation challenges in 2019.

Shwetank Verma

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Shwetank Verma

Shwetank Verma is the co-founder of Leo Capital, an early stage fund and an open innovation consultant. Previously, he led open innovation at MetLife Asia.

Heading Toward a Data Disaster

New catastrophe threats are emerging, to non-physical assets. The modeling tools of the last couple of decades are no longer sufficient.

On July 6, 1988, the Piper Alpha oil platform exploded. 167 people died. Much of the insurance was with what became known as the London Market Excess of Loss (LMX) Spiral, a tightly knit and badly managed web of insurance policies. Losses cascaded up and around the market. The same insurers were hit again and again. After 14 years, all claims had finally been settled. The cost exceeded $16 billion, more than 10 times the initial estimate. The late 1980s were a bad time to be in insurance. Piper Alpha added to losses hitting the market from asbestos, storms in Europe and an earthquake in San Francisco. During this time, over 34,000 underwriters and Lloyd’s names paid out between £100,000 and £5 million. Many were ruined. Never the same again In the last 30 years, regulation has tightened, and analytics have improved significantly. Since 1970, 19 of the largest 20 catastrophes were caused by natural hazards. Only one, the World Trade Center attack in 2001, was man-made. No insurance companies failed as a result of any of these events. Earnings may have been depressed and capital taken a hit, but reinsurance protections behaved as expected. But this recent ability to absorb the losses from physically destructive events doesn’t mean that catastrophes will never again be potentially fatal for insurers. New threats are emerging. The modeling tools of the last couple of decades are no longer sufficient. Lumpy losses Insurance losses are not evenly distributed across the market. Every year, one or more companies still suffer losses out of all proportion to their market share. They experience a “private catastrophe.” The company may survive, but the leaders of the business frequently experience unexpected and unwanted career changes. See also: Data Prefill: Now You See It, Now You Don’t   In the 1980s, companies suffered massive losses because the insurance market failed to appreciate the increasing connectivity of its own exposures and lacked the data and the tools to track this growing risk. Today, all companies have the ability to control their exposures to loss from the physical assets they insure. Managing the impact of losses to intangible assets is much harder. A new class of modelers The ability to analyze and manage natural catastrophe risk led to the emergence of a handful of successful natural catastrophe modeling companies over the last 20 years. A similar opportunity now exists for a new class of companies to emerge that can build the models to assess the new “man-made” risks. Risk exposure is increasingly moving toward the intangible values. According to CB Insights, only 20% of the value of the S&P 500 companies today is made up of physical assets. It was 80% 40 years ago. The non-physical assets are more ephemeral, such as reputation, supply networks, IP and cyber. Major improvements in safety procedures, risk assessment and the awareness of the destructive potential of insurance spirals makes a repeat of the type of loss seen after Piper Alpha extremely unlikely. The next major catastrophic losses for the insurance market are unlikely to be physical. They will occur because of a lack of understanding of the full reach, and contagion, of intangible losses. The most successful new analytic companies of the next two decades will include those that are key to helping insurers measure and manage their own exposures to these new classes of risk. The big data deception Vast amounts of data are becoming available to insurers. Both free open data and tightly held, transactional data. Smart use of data is expected to radically change how insurers operate and create opportunities for new entrants into the market. Thousands of companies have already emerged in the last few years offering products to help insurers make better decisions about risk selection, price more accurately, service clients better, settle claims faster and reduce fraud. But too much data, poorly managed, blurs critical signals. It increases the risk of loss. In less than 20 years, the industry has moved from being blinded by lack of data to being dazzled by the glare of too much. The introduction of data governance processes and compliance officers became widespread in banks after the 2008 credit crunch. Most major insurance companies have risk committees and all are required to maintain a risk register. Yet ensuring that data management processes are of the highest quality is not always a board-level priority. Looking at the new companies attracting attention and funding, very few appear to be offering solutions to help insurers solve this problem. Some, such as CyberCube, offer specific solutions to manage exposure to cyber risk across a portfolio. Others, such as Atticus DQPro, are quietly deploying tools across London and the U.S. to help insurers keep on top of their own evolving risks. Providing excellent data compliance and management solutions may not be as attention-grabbing as artificial intelligence or blockchain, but they offer a higher probability of being successful with innovations in an otherwise crowded space. Past performance is no guide to the future, but, as Mark Twain noted, even if history doesn’t repeat itself, it often rhymes. Piper Alpha wasn’t the only nasty surprise in the last 30 years. Many events had a disproportional impact on one or more companies. The signs of impending disaster may have been blurred, but not invisible. Some companies suffered more than others. Jobs were lost. Each event spawned new regulation. But these events also created opportunities to build companies and products to prevent a future repeat. Looking for a problem to solve? Read on. 1. Enron Collapse (2001) Enron, one of the most powerful and largest companies in the world, collapsed once shareholders realized the company's success had been dramatically (and fraudulently) overstated. Insurers lost $3.5 billion from collapsed securities and insurance claims. Chubb and Swiss Re each reported losses of over $700 million. Jeff Skilling, CEO, spent 14 years in prison. One of the reasons for poor internal controls was that bonuses for the risk management team were influenced by appraisals from the people they were meant to be policing. 2. Hurricane Katrina and the Floating Casinos (2005) At $83 billion, Hurricane Katrina is still the largest insured loss ever. No one anticipated the scale of the storm surge, the failure of the levies and the subsequent flooding. There were a lot of surprises. One of the large contributors to loss, from property damage and business interruption, were the floating casinos, ripped from their moorings and torn apart. Many underwriters had assumed the casinos were land-based, unaware that Mississippi's 1990 law legalizing casinos had required all gambling to take place offshore. 3. Thai Flood Losses (2011) After heavy rainfall lasting from June to October 2011, seven major industrial zones in Thailand were flooded to depths of up to 3 meters. The resulting insurance loss is the 13th-largest global insured loss ever ($16 billion in today’s value). Before 2011, many insurers didn’t record exposures in Thailand because the country was never considered a catastrophe-prone area. Data on the location and value of the large facilities of global manufacturers wasn’t offered or requested. The first time insurers realized that so many of their clients had facilities so close together was when the claims started coming in. French reinsurer CCR, set up primarily to reinsure French insurers, was hit with 10% of the total losses. Munich Re, along with Swiss Re, paid claims in excess of $500 million and called the floods a “wake-up call." See also: The Problems With Blockchain, Big Data   4. Tianjin Explosion (2015) With an insured loss of $3.5 billion, the explosions at the Tianjin port in China are the largest man-made insurance loss in Asia. The property, infrastructure, marine, motor vehicle and injury claims hit many insurers. Zurich alone suffered close to $300 million in losses, well in excess of its market share. The company admitted later that the accumulation was not detected because different information systems did not pick up exposures that crossed multiple lines of business. Martin Senn, the CEO, left shortly afterward. 5. Financial Conduct Authority Fines (2017 and onward) Insurers now also face the risk of being fined by regulators and not just from GDPR-related issues. FCA, the U.K. regulator, levied fines of £230 million in 2017. Liberty Mutual Insurance was charged £5 million (failure in claims handling by a third party) and broker Blue Fin £4 million (not reporting a conflict of interest). Deutsche Bank received the largest fine of £163 million for failing to impose adequate anti-money laundering processes in the U.K., topped up later by a further fine of $425 million from the New York Department of Financial Services. Looking ahead “We’re more fooled by noise than ever before,” Nicholas Taleb writes in his book Antifragile. We will see more data disasters and career-limiting catastrophes in the next 20 years. Figuring out how to keep insurers one step ahead looks like a great opportunity for anyone looking to stand out from the crowd in 2019.

Matthew Grant

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Matthew Grant

Matthew Grant is the CEO of Instech, which publishes reports, newsletters, podcasts and articles and hosts weekly events to support leading providers of innovative technology in and around insurance. 

Reconnecting With Customers Via Claims

Automated systems are important to guide the customer through the correct claims journey, allowing carriers more time to innovate.

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While every carrier manages claims operations in a slightly different way, there are three consistent technology setups currently in practice: Green Screen, Home-Grown and Modern. The back-end operational workflows for each of these practices are generally the same: The adjuster manually enters notes, manually sends emails or makes calls and manually ties documents from the document management systems to the claim systems. The challenge here is that the adjuster is the centrally intelligent component. Relying on an adjuster to connect various systems mires the adjuster in overly manual steps, leaving claims processing vulnerable to reduced speed, mistakes and inefficiencies – all of which lessen customer satisfaction. Green Screen While more common overseas and in smaller markets, green screen systems are still found in many claims operations today. The green screen is a simple claim database that only accepts user inputs from a text-based screen with minimal capabilities to integrate into any other systems. Adjusters are forced to use a separate document management system to store files and photos and use a separate email system for outward communications. Carriers relying on green screen systems see inefficiency with data transfer. Adjusters have to hunt for documents that are not tied to a claim number, annotate the decisions they have made in the green screen system and communicate in a separate system to the customer. Most of the mindshare of the organization is spent on teaching the humans the rules of the claim and how to document their thoughts in the system. See also: Visual Technology Is Changing Claims   Home-Grown Some organizations have managed to build their own systems internally over the years. In these systems, various IT projects over the years have been spliced together with complicated business rules that aim to reduce the human error and ensure legal compliance. Carriers with a home-grown system face significant IT spending to maintain their complex infrastructure. Even with a large IT staff, it is nearly impossible to launch new technology initiatives because change affects rules buried deep in the system. The result is a system that is expensive, inflexible, complex and generally oblivious to the customer experience. Modern Recently, carriers have consolidated their legacy systems into one modern platform. These setups require a large engagement with a third-party system integrator and many years of thoughtful planning and data migration. However, the output is rarely a truly consolidated system. Carriers with modern systems are bound to long-term, third-party support contracts and face many of the issues that home-grown carriers face. Complicated business logic is embedded in the software to try to avoid human errors, but it leads to complexity and rigidity that ensure internal compliance while ignoring the customer experience. Carriers and Customers As customer needs are changing, carriers’ technology should be changing, too. Today’s customers expect a seamless tech experience with clear communication, automation and the ability to input via apps, photos, phones and inboxes. There are several new tech solutions that aim to ease a challenge of current carrier tech configurations. At Snapsheet, we have already built software that eases nearly all of these customer expectations. Here are the capabilities that are critical to advanced claims technology – all of which will help meet customer needs:
  • Cloud-Based Architecture: This feature is important for a flexible design, which eases the implementation. There is no data migration, no system integration and no multi-year project plan. Claims software is launched stand-alone around existing systems or as a full-on replacement. It enables carriers to track, with real-time precision, all of the customer interactions, how the customer engages with the claims process and how the adjuster is engaging with the customer. Immediate insights are gained and can be operationalized.
  • Intelligent Claims Files: Instead of relying on the adjuster to tie systems together and shepherd the customer through the claims process, the Snapsheet platform has advanced capabilities that understand the expectations of each step in the claims process and guide the customer through the appropriate actions. An intelligent engine coordinates the communications and documentation needs for each file and advises the adjuster when to take action. If all of the requested information is provided, the engine may choose to automatically move the work to the next stage.
  • Real-time metrics and operational transparency: It enables the carriers to track, with real-time precision, all of the customer interactions, how the customer engages with the claims process, and how the adjuster is engaging with the customer. Immediate insights are gained and can be operationalized. The result is an enhanced customer claims experience, led by automation and real-time customer engagement to provide a tailored journey through any claim in any language in any country.
  • Customized roll-out: Customization is key. Even with a single consistent platform, such as Snapsheet’s, it is important to customize implementation for whatever legacy IT configuration exists. This adds flexibility and ease-of-use to each project. Snapsheet’s recent strategic collaboration with Zurich is an example of taking a new software approach by putting the customer experience first. Various county entities in Zurich use each of the three software setups mentioned above. Snapsheet software can be leveraged across any configuration, activating software modules that smooth or plug efficiency gaps in the current process, or completely replace existing claims systems.
See also: How to Use AI in Claims Management   As we kick off 2019 and insurtech continues to expand, the industry will see even greater advancement in the technology space for carriers and claims processes. Automated systems are important to guide the customer through the correct claims journey and ultimately allow carriers more time to innovate.

CJ Przybyl

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CJ Przybyl

CJ Przybyl is co-founder and chief strategy officer at Snapsheet. He began working in mobile claims technology startups in 2011 when he helped lead the pivot of BodyshopBids into Snapsheet.

How AI Is Redefining Insurance Industry

The ability to analyze countless data points in mere seconds opens ways to assess and predict that humans simply cannot hope to accomplish.

The insurance industry has operated with great consistency and clear processes for many years. People may not always like or agree with how things work, but nearly everyone from the consumer to the provider essentially goes with it — no uprisings to drive change, no big shakeups. That is until recently.

Seemingly all of a sudden, artificial intelligence (AI) is infiltrating the insurance industry, which may be a bit scary to those devoted to long-established practices. In reality, we are witnessing relatively quick developments and sparks of innovation, considering the overall life cycle of the insurance industry. And what AI offers — now and promises to in the future — is anything but scary. It’s actually quite exciting as the industry enters a truly transformative period that will result in greater efficiency, significant cost savings, and far better service and care.

What Constitutes AI

AI has become one of the biggest buzzwords in the tech landscape, so I want to define what it really means, particularly as it pertains to the insurance industry. AI is a computerized system that exhibits behavior that is commonly thought of as requiring human intelligence. Taking this a step further, it essentially translates to machines acquiring a certain level of “human-ness” so that interactions with software become more like interactions with real people. It also mandates that a system has the ability to learn and improve on its own.

Advances in AI come because of a number of factors, but, undoubtedly, consumer-based technologies have led the charge. Voice, machine learning, computer vision and deep learning have been refined in consumer products, services and platforms, but they are now being combined to create really powerful automated solutions for some of the biggest issues organizations face.

See also: 4 Ways Machine Learning Can Help  

Specific to the insurance industry, novel AI-based applications can shift the workforce and advance what companies are able to assess and offer as well as how quickly they can do it. And this is just over the short term. McKinsey predicts that AI “has the potential to live up to its promise of mimicking the perception, reasoning, learning and problem solving of the human mind. In this evolution, insurance will shift from its current state of ‘detect and repair’ to ‘predict and prevent,’ transforming every aspect of the industry in the process.”

The Rise of Insurtech

This may sound a bit abstract and futuristic, but AI advances have already led to a whole new market segment: insurtech. A slew of new companies have popped up, showcasing strong growth by bringing AI and machine learning to market with the industry’s very specific and nuanced needs in mind.

For example, Cyence, which was acquired by Guidewire Software, developed a platform to ascertain the financial impact of cyber risk and management of risk portfolios; and Cape Analytics provides a service to property insurers that combines AI and geospatial imagery to analyze property and streamline the underwriting process — and these are just two examples. Other AI-based companies have emerged to reduce costs in claims operations, identify various insurance protection options, and transform mobile and social media marketing for insurance companies.

The insurtech segment is not defined by new players alone. Several incumbents have also dipped their toes into the AI waters to develop innovative applications. State Farm developed Distracted Driver Detection that uses dashboard camera images. Allstate has ABIE, a virtual assistant to help agents with information regarding Allstate’s commercial products, and Progressive now applies machine learning on top of data collected from client drivers through the “Snapshot” mobile app.

What Does It All Mean?

First and foremost, the rise of insurtech indicates that the insurance industry is changing profoundly as it modernizes. The ability to analyze countless data points in mere seconds opens ways to assess and predict that humans simply cannot hope to accomplish. This does not mean that humans are no longer needed in the industry. Quite the contrary. People still possess higher-level thinking skills that machines are not equipped to gain. The capacity to factor in intangibles, to make judgment calls, to see and interpret what lies beyond the screen — these are human skills that will always be in demand.

See also: Key Challenges on AI, Machine Learning 

In this light, AI and machine learning applications should be leveraged to streamline and better inform the decisions that humans must make. When this happens, workers are freed to focus on the facets of their jobs that matter the most. In addition to benefits to workers, organizations experience multiples of improvement in cost savings by increased efficiency, accuracy and better predictions generally. Simultaneously, customer service and patient care improve by providing answers and resources tailored to their specific case in a fraction of the time.

Perhaps the most exciting impact of insurtech, however, will be the new business models that arise. The notion of how we administer care will change, as will the way we construct policies for individuals and companies. Essentially, what has never been possible before is suddenly on the table. The options may appear overwhelming or even threatening to the existing way of life, but AI and insurtech have arrived. The advancements that will occur over the next decade will be extraordinary for all constituents. Pay attention and embrace the innovation long needed in the insurance industry.

A New Year's Resolution for Insurers

sixthings

Looking back on the recent push for innovation in the insurance industry, I'd say that 2017 was the first year that insurtech truly piqued the curiosity of a lot of executives and companies. At the beginning of 2018, I predicted the industry would shift from talking to doing. So, where do we stand a year later? And where should we be going in 2019?

 We're not as far along as I had hoped we would be. Companies talked a lot about innovation during 2018, but most were content if they could check a box marked "innovation" and haven't yet forced themselves to do the hard work that comes with the task. More companies designated an innovation leader, joined an incubator, provided some money to update legacy systems to prepare for innovation somewhere down the road, took an executive group to Silicon Valley to see what radical innovation looked like, etc. There was less actual innovation, however, than I expected and more of what I'd call "innovation by press release." 

These more limited actions in 2018 likely satisfied senior management and the board—which was the principal, if unstated, goal, I suspect—but the day of reckoning is still coming, and it's now a year closer. There are some, including people I respect deeply, who don't think the day of reckoning for insurance will be that severe. They think the industry is too tightly regulated, requires too much capital and has too much legacy infrastructure and knowledge to be upended through a technological transformation. Change has certainly been evolutionary, not revolutionary, to this point. Insurtechs are mostly trying to work with incumbents, not replace them.  

But I keep thinking back to conversations I had in the late 1990s and early 2000s with a friend who had a C-suite job at a Fortune 500 company. I kept telling him that the company faced an existential threat, to which he replied that the company was changing as fast as it could and that the day of reckoning was off in the distance. I argued that the market was going to change at its own pace, whether his company could keep up or not. It didn't. It filed for bankruptcy protection. 

I also keep thinking about all the tech giants, including Amazon and Google, that are sniffing around insurance. Yes, Silicon Valley companies like asset-light businesses, not businesses that require as much capital as insurance, but they'll go where they see opportunity, and the operational inefficiencies and poor customer experience in the insurance business reek of opportunity. When I suggested to a brother-in-law, who runs a programming group at Amazon, that something like health insurance might be prohibitively complex, he just smiled and said, "We do complex." 

So, I suggest we step up the pace in 2019. We may be going as fast as we can—but still not be innovating fast enough. 

The will to innovate is clearly there. I see it all around. I also understand the regulatory and legacy factors that seem to require a measured pace. For added complexity, a wave of mergers and acquisitions may well arise and consume a great deal of management attention. 

But we need to get innovation past the press releases and into the market. Consumers are demanding change, and we either have to deliver, or we'll get pushed out of the way so that someone else can. We'll wind up with a bevy of patents for buggy whips just as some guy we've never heard of rolls out the Model T. 

Have a great week. 

Paul Carroll
Editor-in-Chief


Paul Carroll

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Paul Carroll

Paul Carroll is the editor-in-chief of Insurance Thought Leadership.

He is also co-author of A Brief History of a Perfect Future: Inventing the Future We Can Proudly Leave Our Kids by 2050 and Billion Dollar Lessons: What You Can Learn From the Most Inexcusable Business Failures of the Last 25 Years and the author of a best-seller on IBM, published in 1993.

Carroll spent 17 years at the Wall Street Journal as an editor and reporter; he was nominated twice for the Pulitzer Prize. He later was a finalist for a National Magazine Award.

Changing Point of Sale for Insurance

Insurers must rethink how they attract and retain customers as purchasing habits evolve.

The world of insurance is changing rapidly. From transformational advancements driven by insurtech, artificial intelligence, robotics process automation, blockchain and wearables, to changes in the way insurance companies design and implement new products (e.g., design thinking, minimum viable product and behavioral economics), innovation is happening all around us. As Karen A. Morris said in her article "Innovation Lessons From the Flock," “The feather in every innovator’s cap is the ability to question, relentlessly and with energetic humility.” There is no doubt that insurance companies across the country are questioning the impact of changes on their ability to compete. However, the insurance industry may need to spend a little more time thinking about how their customers are purchasing insurance and how the point of sale is potentially changing. This article will share some examples of areas where insurance companies may need to rethink how they attract and retain insurance customers in the very near future as purchasing habits evolve. The Rise of Subscription Models In the CNBC article titled "The ‘Netflix’ Model of Car Ownership Is on the Rise for Drivers Who Need Wheels – Without the Debt," the author discusses the growing trend of automakers, dealers and startups that are offering subscriptions as an alternative way to get into a vehicle. By subscribing to a vehicle, a person can avoid the traditional leasing of a vehicle or financing the vehicle through the auto manufacturer, used car dealer or bank. For insurance companies, perhaps the most important feature to note about a subscription model is that the automaker, dealer or startup will charge a flat monthly fee packaging together all the expenses associated with owning or leasing a vehicle. Included in that fee, you guessed it, is personal automobile insurance. The article mentions a number of companies offering subscription options. A visit to the news sections of these companies shows how fast dealership partnerships and car subscriptions are growing. See also: Digitalization – the Great Disappointment   Professional Employer Organizations (PEOs) For the workers’ compensation line of business, insurance companies will need to monitor the impact of PEOs and aggregators of services that offer to own the insurance risk for multiple clients across multiple states. Through the law of large numbers, mobile claim reporting apps, strategic partnerships with pharmacy benefit managers, third party administrators and insurance companies, PEOs are able to sell the fact that they are better equipped to handle the workers’ compensation claim life cycle. As you can tell from reading the financial results of a number of the largest PEOs, they are growing rapidly… translating into more and more companies where somebody other than the insurance companies competing in the open market are owning the insurance relationship directly through a relationship with the PEO. Why the Point of Sale Matters For insurance companies that are relying on their traditional sales channels of agents and direct sales to renew their current customers or attract new business, they may be in for a surprise some day soon. As subscription models and PEOs continue to attract and rapidly grow their customer base, traditional insurers will lose customers who are shifting to these new low-hassle business models. A good analogy in this case would be the boiling frog in a pot. If you place a frog in a pot of boiling water, it will jump out immediately. If you put a frog in a warm pot and slowly raise the temperature, the frog will continue with business as usual. In a similar manner, if insurance companies don’t recognize that these new models are slowly but surely taking away business, an insurance company could some day wake up and find that a lot of customers have disappeared from the market. Researching Who Owns the Relationships There is no doubt that some companies have gotten out ahead of the curve when it comes to recognizing that the point of sale for insurance has started to change for auto liability, workers’ compensation and a few other lines of business. Although we won’t name the insurance partners of subscription companies and PEOs, there are some easy ways one can find out the information. For publicly traded companies, searching for insurance keywords in the company’s 10-K/10-Q is a fine place to start. For both public and private companies, searching their website and visiting areas that address frequently asked questions related to accidents and filing a claim can also be helpful. For one subscription company, the authors identified the startup’s insurance partner by downloading the app and visiting the FAQ section. By looking for answers related to questions about accidents and insurance, we found the number for the insurance provider, dialed it and heard the name of the insurance partner. For one PEO, we were able to visit the insurance resources section of the website and learn everything about the workers’ compensation program (e.g., certificate of insurance form, claim reporting form, pharmacy benefits provider, etc.). See also: Reinventing Sales: Shifting Channels   Conclusion As Larry Keeley said in his book, "Ten Types of Innovation – The Discipline of Building Breakthroughs," “Successful innovators analyze the patterns of their industry. Then they make conscious, considered choices to innovate in different ways.” Based on the trends and patterns we have described, it will be important for insurance companies to rethink where they should focus their energy when it comes to the point of sale for certain lines of business. As the competitive landscape continues to evolve, those who adapt first and recognize shifting points of sale will likely have a first mover advantage from a data analysis, relationship and diversification perspective.

Greg Chrin

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Greg Chrin

Greg Chrin is a senior manager at Deloitte Consulting LLP and leads the medical professional liability practice and actuarial industry R&D committee.


Kevin Bingham

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Kevin Bingham

Kevin Bingham, ACAS, CSPA, MAAA, is the chief results officer of subsidiary initiatives at Chesapeake Employers’ Insurance. He has over 27 years of industry experience, including 21 years of consulting.

'Sextortion': A New Cyber Danger

A new form of online abuse of young people is growing rapidly: extortion based on the threat of sharing sexually embarrassing photos.

A new form of online abuse and exploitation of young people is growing rapidly. It’s called “sextortion,” and it’s defined as the threatened dissemination of explicit, intimate or embarrassing images of a sexual nature without consent, usually for the purpose of procuring additional images, sexual acts, money or something else. New research from the Cyberbullying Research Center indicates that sextortion is more prevalent among adolescents than first realized, and youth are often involved as both victims and perpetrators. The disturbing results from surveying more than 5,500 middle and high school students from across the country showed:
  • 5% of 12- to 17-year-olds had been the victim of sextortion
  • 3% admitted to sextorting others
  • Most were victimized by a boyfriend or girlfriend (32%) or other friend in real life (22%)
  • Only about 5% said the extorter was someone they didn’t know very well
  • Many victims didn’t tell anyone about the incident; girls were more likely than boys to have told a parent
Sextortion hasn’t received the extensive study or media coverage that other types of online crimes have, but two detailed studies have shown that perpetrators tend to have multiple victims, generally ranging from 10 to more than 100 (Brookings Institution study). Another concern, raised in research by the University of New Hampshire, is that about 70% of victims provided compromising images of themselves voluntarily or were tricked into providing them. This factor seems to contribute to the reluctance of many sextortion victims to report the crime. See also: Time to Talk About Sex Abuse in Schools   The impact of sextortion on victims has been as serious as other forms of bullying and cyberbullying. In too many cases, the outcome is suicide. Many manifest the same mental and physiological symptoms of those who have suffered face-to-face sexual assault, including depression, anxiety, eating disorders and distrust of others. Some whose pictures were distributed in their schools and communities faced further harassment and even physical abuse. Increasing awareness and education of young people and their families about the dangers of sextortion is the first step in protecting children. Parents and friends who are sympathetic and supportive help alleviate the isolation that victims often experience. Several best practices for cyber safety and online behavior can help prevent sextortion in the first place:
  • Teach children that sharing any kind of inappropriate images – of themselves or others – through their computer or phones puts them at risk of serious trouble, from being embarrassed, coerced by others or possible criminal charges.
  • Be sure to keep webcams, including those built into laptops, secure. Cover the lens or close the lid of the laptop when you don’t intend to use the camera.
  • Ensure antivirus protection and privacy settings are in place to reduce the risk of cyber intrusion, distribution of personal information or “remote control” by perpetrators.
  • Parents, let your children know that it is safe for them to come to you for help if they receive any kind of threat online, and that you will assist them supportively if they make mistakes in judgment.
  • Watch for unusual signs of social withdrawal, anxiety, anger or rage, as well as any suspicious attempt to conceal what a child is doing online. These could be indications that the child could be threatened or could be involved in threatening someone else. If this happens, talk to the child frankly, show your concern and seek help from a professional, if necessary.
See also: 5 Tips for Success in Cyber Litigation   As technology becomes more sophisticated and our personal lives are increasingly connected to cyber space, the online hazards that young people are likely to encounter will require all of us to be more vigilant. We encourage you to learn more about bullying, cyber bullying and sextortion so you are better prepared to protect children from abuse.

Kathy Espinoza

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Kathy Espinoza

Kathy Espinoza, MBA, MS, CPE, CIE is a board-certified professional ergonomist. She is assistant vice president of ergonomics and safety for Keenan and has worked with the firm for 16 years providing workstation assessments, solutions and employee training.

Ensure Success

Insurers need not go back to the drawing board. They should go to the studio to further their message through video or photography.

Numbers may numb the senses, but that does not mean insurers should forsake the chance to achieve something that, in contrast to their current approach to marketing, can be numinous, relatively speaking, because neither a lack of communication nor communication that lacks style can yield anything of substance. Insurers need not go back to the drawing board, when they should go to the photography studio instead: a place for photographers, artists, designers, writers, and directors—all of them working in a studio spacious enough for them to realize their vision, which itself is a study in the transformation of space. It is the conversion of space into living space—the way a studio lends itself to interpretation by way of a camera lens—that can allow insurers to further their message through the medium of video or photography. Achieving this goal starts with finding a studio in which a room has plenty of space for invention, and reinvention. To have such a studio is to have the solution to a challenge that is otherwise a logistical mess and a financial disaster. Enter FD Photo Studio, literally or virtually, because this is where insurers can begin to turn their message into effective marketing. I mention this disruption in how photographers do business, or how businesses can leverage a series of photography studios that have low hourly rates and a suite of equipment and services, because the biggest barrier to a shift in marketing is the refusal of most studios to change their prices—to change, period—in the face of changing needs and demands. See also: 10 Essential Actions for Digital Success  With the solution now available, insurers have no reason not to banish the banal, to erase the execrable, to delete the detestable. They do, however, have every reason to express themselves visually—to have a vision that verbalizes a specific set of values—so their marketing speaks for itself. They have to articulate what they believe. They have to believe what they say—they have to know what they believe—so what they say is not only believable but true, so what consumers see is a picture of what insurance is, so what appears on paper or develops on-screen is the summation of a collection of ideals like honor and integrity and hope and opportunity. That honesty is the best policy, for insurers, is both a matter of justice and a measure of goodness. To have a marketing campaign that blurs what should be clear, or to perpetuate a message that fails to clarify what is right, is neither good for business nor a good to possess. It is bad optics, as pundits are wont to say, because it is just plain bad. See also: Engaging Employees: Key to Success Let insurers, therefore, resolve to make excellence a priority and professionalism a promise to keep. Let them produce an actual snapshot of their industry, which says a lot without having to say a word; unless words are necessary; unless the words condense a thousand words into a memorable sentence; unless the sentence implies what consumers will likely infer: that insurers are great marketers.

Insurance and Fourth Industrial Revolution

The accelerating change in our world not only demands new products, but presents entirely new forms of risk, as well, for Insurance 4.0.

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I have been asked a number of times to provide my perspective on the insurance industry in the time of the Industrial Revolution 4.0. In this piece I'll do so, but first, how did we get to 4.0? What preceded and led to this brave new world of what's now called "IR4"? The first industrial revolution occurred in the late 1700s, with most agreeing that the seminal event was the development of the first mechanical loom in England in 1784. More broadly, the period was defined by mechanized production facilities, usually with the help of water and steam power. The second industrial revolution, in the late 1800s, was defined by the concept of division of labor and by mass production, with the help of electricity. Think of hog slaughtering or early automobile assembly lines. The third industrial revolution, starting in the late 1960s, was characterized by the introduction of the electronics and IT systems that accelerated the automation of production and business processes. Think of the room-sized computers of the '60s and '70s. The fourth industrial revolution is happening right now. The IR4 concept was pioneered by Professor Klaus Schwab, founder and chairman of the World Economic Forum. The idea is that we are now entering the fourth major industrial era since the initial industrial revolution of the 18th century. This new world is characterized by the fusion of many technologies and the blurring of lines between the physical, digital and biological spheres. This evolution to what we now call cyber-physical systems, or embedded systems, is leading very rapidly to a world dominated by systems that are controlled or monitored by computer-based algorithms, and integrated with the internet and its users. This kind of connected and communicating world has enabled the development of such things as a smart power grid, remote medical monitoring and autonomous vehicles. This is the "Internet of Things": technology becoming embedded into all facets of society, and even into our bodies. As dramatic as this may sound, the fourth industrial revolution is even more transformative than the previous three in other ways, as well. The speed of recent breakthroughs has no historical precedent; it is exponentially faster in adoption than previous industrial revolutions. Additionally, it is disrupting almost every industry in almost every country. This scope and pace is unprecedented. Like the revolutions that preceded it, the fourth industrial revolution has the potential to raise global income levels and improve the quality of life for populations around the world. At the same time, however, this revolution could yield greater inequality along the way. Access to technology varies widely, so developments like robotics have the potential to displace workers in precisely the parts of the world that need help advancing most. The reason is that there are three separate but connected kinds of disruption going on simultaneously. Technological disruption: artificial intelligence, blockchain, telematics, genomics, the Internet of Things. Economic disruption: imagine: AirBnB is now the #1 hotel company, Uber is the #1 taxi company, big stores and shopping malls are fighting for their lives. Sears, the Amazon of the 20th century, recently declared bankruptcy, and many traditional bricks-and-morter retailers are threatened. Social disruption: some parts of the world are aging rapidly, with attendant retirement savings and healthcare challenges, while other parts, mostly in the Southern Hemisphere, have more young people than jobs; people want to be able to use things without necessarily owning them; concepts of work are changing; income equality and gender equality are major issues. While the concept of a Fourth Industrial Revolution is now widely discussed, I would like to describe the Fourth Insurance Revolution as I see it. Like the eras of the four industrial revolutions, there have been three previous periods in insurance industry history that are somewhat similar to the evolution of the industrial world. The first era, which I call Insurance 1.0, began logically enough in the parts of the world that were the cradles of civilization, the Middle East and Asia. See also: Industry 4.0: What It Means for Insurance   As far back as the second and third millennia BC, traveling Chinese merchants practiced an early form of risk management by distributing their wares among numerous ships and different trade routes, to minimize losses along the way. In Babylonia, merchants receiving a loan to ship goods paid the lender an additional fee that would cancel the loan if the goods were somehow lost – credit insurance. This form of coverage is even memorialized in the Code of Hammurabi. The Greeks and Romans introduced the origins of life and health insurance when they created guilds called benevolent societies, to pay family members for funeral expenses of deceased members. These are our industry’s beginnings. Insurance 2.0 as I see it was the introduction of the first actual insurance contracts. These were developed in Genoa, Italy, in the 14th century and related to marine insurance for goods in transit. This was a formalization of the earlier concepts employed in the Insurance 1.0 period. Our industry matured greatly in the 17th century, into what I deem Insurance 3.0, a major leap forward. Much of the accelerated formalization of insurance was stimulated by the Great Fire of London in 1666. This enormous conflagration destroyed nearly 70,000 of the city’s 80,000 residences, and gave rise to urgent risk management and insurance planning. Property and fire insurance as we know it was launched by Nicholas Barbon in London in 1681. Around the same time, French mathematicians Blaise Pascal and Henri de Fermat conducted loss probability studies that resulted in the first actuarial tables. Insurance became an empirically based enterprise, and became widely understood to be a prudent expenditure for businesses and families. With that brief history of the evolution of our industry, let’s now move on to insurance in the 21st century: Insurance 4.0 In my view, most of the change in the industry since Insurance 3.0 up until the present has been incremental. Broader product lines, more distribution channels and, recently, the first elements of digitization. But what’s happening now is fundamentally different. The basic function and processes of insurance are being disrupted at an accelerating pace. So let me now present some of the issues and implications of change in the industry, what Insurance 4.0 looks like. I’ll start by making some comments on the insurance industry of today. Of course much of the rapid change taking place now and defining Insurance 4.0 is related to technology. The insurance industry’s raw material is data. Data not only to make underwriting and loss reserving judgments, but increasingly to manage virtually every business process in the insurance value chain. Data is valuable. But how can insurers successfully plan and manage data when, as Science Daily magazine tells us, 90% of all the data in the world has been generated in the last two years?! How do we use this avalanche of data to make sound business decisions? More data does not inevitably lead to better decisions. One promising set of tools: Artificial intelligence and machine learning, which represent a quantum leap from the predictive modeling insurers have been using over the past decade. Moving rapidly from applications in high-frequency, low-severity lines like auto and home insurance, AI capabilities are now employed in more complex commercial lines, and already show evidence of having real underwriting and loss reserving value. Skeptical about whether this can work in complex cases? Let me give you an AI example. A few years ago, a computer beat the world chess champion. Well, some said, that’s fine, but it will be a long time before a computer can beat a top Go player. As many of you know, Go is a complex Asian game played on a 19-by-19 grid, with more possible configurations than the number of atoms in the known universe. Google’s Deep Mind Lab computer input all the Go games ever recorded, over a 1,000-plus year span. After playing 4.9 million games against itself in a three-day period to learn, the computer immediately beat the world’s best Go player in a live game. What’s more thought-provoking, though, is what happened next. Putting aside the input of historical game results, Google just uploaded the basic rules of the game – no experience data. This new program, AlphaGoZero, became expert simply from learning first principles alone, without any human knowledge or experience input. Does anyone still think sophisticated underwriting or loss reserving is beyond the capability of modern computers? I don’t. Entrepreneurs have expanded the way technology can influence the insurance value chain to create an ecosystem we call insurtech. Leveraging off fintech’s huge impact on the banking and payments world, insurtech companies, which now number more than 100,000, are innovating in every insurance company department. Investments in them have grown by leaps and bounds. Insurtech attracted about $140 million in funding in 2011, $275 million in 2013, $2.7 billion by 2015 and more than $4 billion last year. Insurtech products and services address product development, marketing, pricing, claims and distribution, especially reducing policy acquisition costs, and have been much more focused on nonlife insurance (especially personal lines) than life and health insurance to date. Up until now, insurtech ventures have tended not to displace the incumbent insurers, but have been invested in or acquired by them to enhance their existing operations. Much of the industry’s current expanded use of technology, including insurtech, is focused on customer interface and the customer experience. It has always been said that an industry can’t disrupt itself; that disruption always comes from the outside. Not surprisingly, then, insurance policyholders and potential customers have had their expectations of customer experience elevated by their interaction with other product and service providers. No longer do they measure their satisfaction against other insurance companies. They want the kind of experience they get from Apple, Alibaba, Amazon, Starbucks and the like. They want mobile, 24/7, personalized service. Most insurers today are simply not capable of delivering this. They lack both the innovation mindsets and the IT budgets to deliver a 21st century insurance customer experience, and they will lose share of market to those companies that do. Another element of change in today’s insurance business is the emergence of public/private partnerships. More sovereign and sub-sovereign governments have come to realize that they are effectively the insurers of last resort when catastrophes strike. Efforts are accelerating to narrow the protection gap between total economic losses and the portion covered by insurance. Because the governments often end up paying directly or indirectly for disasters, and their citizens feel their brunt in terms of higher taxes or reduced services, governments now increasingly seek to partner with insurers. This is a positive development for the industry, one that presents both an enormous growth opportunity and a benefit to society. Recent years have seen the launch of the African Risk Capacity, the Caribbean Catastrophe Risk Insurance Fund and the Pacific Catastrophe Risk Insurance Company. All are regional public/private partnerships, and all are enabled by technology-driven parametric triggers. Others are in the works, facilities designed to address a range of perils including flood pools, terrorism pools and the like, best managed by governments and industry working together. The “lower interest rates for longer” world we live in presents major challenges for investing the assets that support our policy liabilities. Insurers can no longer simply commit the bulk of their portfolios to investment grade corporate and government debt. Such a strategy just isn’t sufficient to pay claims and provide an adequate return on capital now. Insurers and the asset managers who serve them have responded by changing their asset mix, to increase allocations to higher-return, not-much-higher-risk securities (let's hope). More equities. Structured products and bundles of loans. Private equity funds. And recently, infrastructure debt, in both developed and emerging markets. Portfolio yields are rising, but only time will tell whether these new investment allocations provide an appropriate margin of safety in more turbulent market conditions. It’s really too soon to tell if the industry’s investments have become riskier, or if insurers have simply better understood the true risks of 21st century investing. A more subtle but truly profound change in Insurance 4.0 is the industry’s focus on talent. I’ve been in the insurance business more than 47 years, and I can say with complete confidence that insurers have never remotely spent as much time, money and thought on developing their future leadership as today. There has always been talk about this, but the action has never before matched the rhetoric. With approximately 25% of the industry’s top management retiring in the next five years, as Baby Boomers retire in large numbers, the urgency of talent development has finally dawned on CEOs and even boards. Competing for top young talent isn’t easy. The lure of technology firms, entertainment, investment banking and other seemingly more exciting career paths is undeniable. But insurers have to try to attract at least some of the best, because our industry’s role in society is so critical, and the talent gap is large and growing. For the first time in my career, CEOs bring up their programs for attracting, developing and retaining talent without me asking them first. More and more describe carefully thought-out programs that are so strategically important that they have high visibility with their boards. Believe me, this is a real change. These are the companies that will thrive over the long term. All of these initiatives, in technology, in the customer experience, in public/private partnerships, in new investment approaches as well as in talent development, exemplify Insurance 4.0. Not just doing what we have always done, hoping to be somewhat better, but developing new tools to address new challenges, new opportunities and new competitors from within and without the industry. This is because insurers are the financial first responders in this risky world. We rebuild communities and homes after disasters, we provide financial stability when families lose loved ones and we invest to build economies around the world, and in Insurance 4.0 we do it faster and better. As numerous and daunting as the changes of today are for the insurance industry, there will be more and greater challenges in the industry of tomorrow. The accelerating pace of change in our world not only demands new products, but presents entirely new forms of risk, as well. I referred earlier to the three generic kinds of disruption we are witnessing. Each of them carries new risk exposure the likes of which our industry has not dealt with before. Technology disruption, for example, presents a host of new risks related to our connected world. Insurers are struggling to find their place as autonomous vehicles loom large in our future. What does this mean for the motor insurance business, the industry’s largest line of coverage? Will auto manufacturers simply bypass the insurance industry and go directly to the capital markets for their enormous coverage needs? Will commercial drones inspecting property damage claims improve workflow and reduce reliance on human error? How will blockchain reduce expenses? The InsureWave project developed by EY, Maersk, Willis and GuardTime promises to slash marine insurance expense ratios by approximately 10 points! Other blockchain applications are in the works, and industry consortia like The Institutes’ Risk Block Alliance are finding new processes to save and make money every day now. Finally, cyber risk represents the world’s first truly global peril, including a cascading potential due to our connectedness. Clearly, there is premium growth potential in cyber, but the early promoters of long-term-care insurance might remind us that revenue growth potential does not necessarily portend long-term profit. Current cyber combined ratios are running around 60%. True loss experience, though, will take years or decades to be fully understood. Economic disruption also presents new challenges and opportunities for insurers going forward. Who will be the insureds of the future? How does a company insure Uber or AirBnB, let alone the people who use them and the facilities they work with? How does the collapse of traditional industry customers like retailers, coal companies and other industries that dominated the 20th century affect insurers? And by the way, is the industry prepared to cut 25% to 50% of its non-customer-facing jobs over the next decade as a “benefit” of AI and robotics? Some of the internal workforce can become part of the “hybrid system,” the human overlords who write and work alongside the smart systems to make their ultimate decisions, but not many. Social disruption is also a source of new risks. For nonlife insurers, reputation risk and privacy risk have enormous potential exposures, and little existing loss data to make rates. It’s much too soon to tell if providing coverage for these exposures will be viable or not. What are the insurance implications of the sharing economy, where more people want the ability to use things without owning them? Usage based insurance is gaining popularity, but also has the potential to significantly reduce premium volume. What about the “gig economy,” where many people hold several part-time jobs and no full-time job (meaning no benefits)? And how will life and health insurers cope with a rapidly aging developed world? Retirement savings is a looming crisis. And even if we manage to avoid pandemics (consider: If the Spanish Flu of 1918 occurred today, it could kill 400 million people), what are the implications of a hotter and more polluted planet for healthcare? Will wearable devices driving the Internet of Things provide a cornucopia of information to enable better health outcomes? See also: Insurance Service Rates Zero Stars   And what of the big issue: climate change? Both the World Economic Forum and Lloyd’s of London define climate change as a top socio-economic risk to our society. Climate risk is now considered a core strategic issue by governments, businesses, even the military. Certainly for the insurance industry, adaptation and mitigation, the need to make future provisions for inevitable damage, and send pricing signals to insureds of the true cost of risk, is a defining issue of our time. In a broad way, Insurance 4.0 means the industry is becoming part of an ecosystem of connected and communicating sectors that are symbiotic, not as “B to B,” business to business, or “B to C,” business to consumer, but “E to E”: everything to everybody, where the information exchange benefits all participants, but is not equally understood by all parties. The information flow is asymmetrical. We can all agree that reducing risk in our world is a good thing for society, but, if risk is materially reduced, will the size and relevance of our industry then shrink? A few words are also in order about the political capital the insurance industry possesses. I have written herein mostly about the risk management side of our business, and indeed it is the very reason we are in business. But even in a time of increasing public/private partnerships seeking to mitigate and remediate natural disasters, politicians and policy makers primarily ascribe our industry’s power and influence to our investment portfolios. Globally, the industry has over $35 trillion of invested assets. Assets that are invested in companies’ domiciliary countries’ government bond markets and are critical to those countries. Assets invested in their stock and corporate bond markets, as well. And now, insurers’ role, along with pension funds, as the only true long-term investors, means they are vital to infrastructure funding. Growth projects for the emerging world, and reconstruction financing for the developed world. This is what gets the attention of policymakers. And so this attribute is what we must nurture and promote to enhance our stature. Our most promising avenue to high esteem with policymakers is by securing their understanding of the vital role our investment portfolios play in helping them achieve their goals. And so, the world of Insurance 4.0 is not just one of new products covering new risks, but a whole new conception of what insurance can be and do. Some say that in the future, all companies will be technology companies. If that is even close to being true, then insurance companies, which run on information, must surely be technology companies to succeed. But can they all be? No. Some don’t have the innovation mindset to adapt. I know of many insurers that employ only slightly modernized versions of the same processes that have been around for well over 100, and have yet survived. They will continue to try to muddle along until forced. Capital providers to stock insurers are getting impatient about returns, and so merger and acquisition activity is increasing. Few small insurers can afford to become state-of-the-art technology providers, and many will have to seek stronger partners. Most mutual companies, which do not have those demanding investors to answer to, will just carry on, but lose share of market to faster-moving competitors. I believe Insurance 4.0 will feature an accelerating consolidation of the global industry, driven by the technology leaders taking over technology laggards. I also believe that more and better utilization of data by insurers will lead to better pricing and better loss reserving, reducing the amplitude of underwriting cycles. This, in turn, will result in the industry becoming less of a frequency business and more of a severity provider, a tail-risk provider. The greatest value of the industry to its customers will become having the ability to better forecast and the capacity to provide for extreme weather events and other large losses. Examples would include cyber, environmental and terrorism/civil unrest. This is yet another argument for industry consolidation around fewer, bigger, tech-savvy insurers, and for an even greater role for funding from the capital markets. Another rapidly emerging concept of Insurance 4.0 is the industry’s role in loss mitigation. I’m shocked to find that many people still think our industry exists solely to pay money to people after bad things happen. In fact, the industry’s role in mitigating and even preventing losses before they occur is the key reason for the rapid rise of public/private partnerships and invitations by governments to help them anticipate and reduce, not just pay for, losses. As an example, I participated in this year’s G20 meetings in Argentina , where, for the first time ever, a dedicated insurance summit was held. Industry and governments explored opportunities to work together better to reduce losses any way possible. It is becoming widely understood that every dollar spent on loss mitigation and prevention by governments saves five dollars of post-event spending. This gets to a basic disconnect that the industry must come to grips with: Insurers basically want to sell protection for when losses occur, which they have done for centuries now. Customers, on the other hand, now want to buy loss prevention and mitigation, in the form of broader advisory services. If real customer-centricity is to be achieved, making this fundamental shift in the business model of how the industry meets customer needs would truly mean we have reached Insurance 4.0!

Michael Morrissey

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Michael Morrissey

Mike Morrissey is chairman of Protective Life, a Fortune 500 provider of life insurance, annuities and other financial products. Protective Life is owned by Dai Ichi Life Group, one of the world’s largest life insurance companies.

Previously, he was president and chief executive officer of the International Insurance Society (IIS) for 11 years. He continues his 30-year involvement in the leadership of the IIS as a member of its executive council and as its special adviser. He is a steering committee member of the World Economic Forum’s “Longevity Economy” initiative, as well as chairman of Legeis Capital, an alternative asset management firm.

Morrissey earned a BA from Boston College and an MBA from Dartmouth. He has completed the Harvard Business School Corporate Financial Management Program and has a Chartered Financial Analyst (CFA) designation.

How to Automate Your Automation

It's crucial to take a top-down approach, to get a bird’s-eye view of all of processes, to be able to see which will benefit from RPA.

Over the last few years, many insurance companies across the globe have started to integrate workplace automation tools such as robotic process automation (RPA) into their day-to-day business activities and processes. At this point, if you’re the highly competitive insurance industry, this technology is one of your most trusted tools for creating a competitive advantage. But while RPA is an extremely useful software solution that helps large-scale insurance companies run more smoothly and efficiently, saving them money in the long run, it does have its costs, some more salient than others. For starters, many RPA packages are very expensive, and implementation can sometimes take months. Deciding which specific processes to automate is another issue entirely; it’s almost as if insurance companies need an automated process just to sort out which tasks they should automate. It's crucial to take a top-down approach, to get a bird’s-eye view of all of processes, to be able to see which will benefit from RPA. This sort of Process Discovery approach can drastically accelerate implementation; we've seen companies cut their automation deployment time by as much as 80%. Comparing Process Discovery and Process Mining To understand what Process Discovery does and why that matters, it’s helpful to compare it to another technology that some companies have started using in conjunction with RPA: process mining. Both process mining and Process Discovery can be used to identify a company’s processes automatically, reliably and objectively – and they can both offer key insights to help the company decide which processes to automate and in which order. But the two solution types were developed for different reasons, and they gather data very differently. See also: 3 Keys to Success for Automation   Whereas process mining tools were created to help organizations get a better understanding of their processes more broadly, Process Discovery was created specifically to help enterprises get more benefit out of RPA and to do so with optimal speed and efficiency,. While some businesses rely on process mining to decide how to use RPA, the field of process mining was not created specifically to be used with RPA. Additionally, process mining tools gather data on a company’s processes based on system event logs created after a user has performed an action – an approach that can sometimes limit the technology’s impact on successful automation. First of all, extracting processes from logs is a time-consuming project, typically taking between one and four months, and it requires specially trained and qualified personnel. Second, system event logs cannot always measure work processes performed on certain software, such as Citrix and legacy systems. Third, even after a process has been identified and a company has decided to automate it, the company’s employees must still create an automation workflow from scratch before robots can start performing the process – a project that can be slow and time-consuming. In contrast, Process Discovery can gather data primarily through computer vision, which enables it to monitor a user’s activities in real time based on the information displayed on that user’s computer screen. This approach allows for a single business user to manage a company’s entire process of using Process Discovery, taking only one to three weeks from start to finish. And, because it does not require system event logs, Process Discovery can easily detect processes performed on any application – empowering a company to identify all its processes, regardless of platform. Perhaps most importantly, each time Process Discovery identifies a process, it can automatically a fully functional automation workflow for it. Then, employees have the option of fine-tuning the workflow before assigning robots to start performing it. This capability is a key factor in Process Discovery’s tendency to slash the time required to identify and automate a work process. Use Cases For RPA in Insurance RPA is already being implemented in the insurance industry, with the benefits spanning from the reduction of tedious processes and general costs, to overall reduction in human error. A few specific examples include:
  1. Claims Processing — which involves a heavy amount of data and is very document-intensive, requiring people to collect a vast amount of information from various sources. Doing claims processing manually can be lengthy, creating issues for both customer service and operations. Process Discovery can help insurers easily find ways to automate their claims processing, while using RPA to quickly gather data from various sources to be used in centralized documents, allowing them to be processed much faster.
  2. Regulatory Compliance — insurance companies rely on various compliance standards that include HIPAA privacy rules, PCI standards and tax laws, which all continue to change over time. To protect business operations, these compliance standards need to be followed, but often they are hard to keep up with for employees and clients. Through the implementation of Process Discovery, insurance companies can find ways to automate areas of certain compliance processes, to better regulate them with RPA.
  3. Scalability — as the insurance industry only continues to become more competitive, quick and efficient, scalability is important for the success of any insurance company. RPA can be implemented to ease the experience of scaling up, allowing insurance companies to focus more on the company itself rather than the tedious day-to-day activities that take up employee time. Additionally, Process Discovery can find the daily tasks that can be automated, so that new employees can be onboarded faster and more efficiently, without getting bogged down by having to figure out which of their own processes they should automate.
Looking Forward RPA is becoming a popular solution among major companies across the insurance industry, and it is only going to continue to grow. How much benefit a company gets out of it depends largely on which tasks the company automates. And the more quickly and efficiently that company can choose the best processes to automate, the better it is prepared to maximize its RPA ROI. See also: Next Big Thing: Robotic Process Automation   Against this backdrop, Process Discovery does more than “automate the automation.” It gives insurance companies a head start on their competition by providing them with the greatest luxury of all: time. Specifically, Process Discovery empowers these companies to reliably choose the best tasks to automate, deploy RPA up to five times faster and save significant time and money as the insurance industry continues to grow and become more competitive. At the same time, it stands out for its ability to identify all work processes, regardless of their computer platform – maximizing the scalability of RPA. For insurance companies around the world, this is an exciting and promising time for RPA. By empowering these businesses to jumpstart their use of automation, Process Discovery helps to explore this technological landscape aggressively.

Harel Tayeb

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Harel Tayeb

Harel Tayeb is CEO of Kryon. He is a visionary leader and serial entrepreneur with over 15 years of experience in the tech ecosystem. Most recently an investor and adviser for startups and VCs, Tayeb has held several leadership positions, including AVG Israel country manager.