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How P&C Can Use Crime Data Better

Although crime data can be spatially expressed just like flood and other perils, it is too often overlooked as a piece of the property risk puzzle.

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For insurers that underwrite commercial properties, crime risk data can often be overlooked or under-prioritized in comparison with other hazard data. In the P&C industry, we’re often quick to note the insured or economic losses associated with catastrophes. But did you know that crime costs billions each year? The FBI reported nearly 7.2 million property crimes in the U.S. in 2018, with an estimated $16.4 billion in property crime losses, not including arson. Although crime data can be spatially expressed just like flood, hurricane, hail and other perils, it is commonly an overlooked piece of the property risk puzzle, and therefore not often supported by underwriting guidelines. One of the factors contributing to the underuse of crime data is that it has generally lagged behind other hazard data in research and development. Now, however, leading data companies are creating models that account for the location where the crime actually occurred, allowing crime risk to be geographically represented. Traditionally, crime data has not been detailed or accurate enough for underwriters to gain a comprehensive understanding of the true risk related to a property or portfolio. That’s because there is a lack of crimes reported at the geographic level versus the law enforcement agency level. Data from Location Inc. and Pitney Bowes, however, can be applied at the point of underwriting or portfolio management to help insurers assess the likelihood of violent crime, theft, vandalism and even behavior-based fire risk at the street level. See also: Using High-Resolution Data for Flood Risk Here are a few examples of how P&C insurers can apply crime risk data within a solution like SpatialKey for more informed underwriting and property risk assessment: Use Case 1: Violent Crime & Property Crime The below image shows a top tier college campus with a moderate crime score according to Location, Inc.’s SecurityGauge crime data. A moderate score is the national average for crime; however, the area around this college's location has an above-average crime rating. As you can see, there is a clear delineation between the school’s campus (near average risk relative to the nation, shown in yellow) and the surrounding city (in orange/red), which has an elevated crime score. So while the school itself is at or below the national average for crime risk, knowing that there is some high crime nearby could raise a flag to ensure proper coverages and adequate premiums are in place when underwriting this risk. Use Case 2: Arson When underwriting property risk outside the U.S. and Canada, for example in the U.K., Pitney Bowes crime data, for England, Wales, Scotland, and Northern Ireland, can be used within SpatialKey to understand factors driving overall risk, as shown below. The location has a very high score (borderline extreme, in fact) for arson. When looking at this map, you can see that there is a bus depot across the street from the location in question. This information should factor into your risk assessment due to the flammable nature of the bus depot. These use cases demonstrate how using expert crime risk data wcan help insurers:
  • Gain a more comprehensive view and reduce adverse selection by determining the overall crime rate for an area at the street level.
  • Adequately or more accurately price for the associated risk — For example, setting a higher theft deductible if the crime data shows increased crime in the area, or lower premium if the property has security measures on-premise such as cameras, lobby security, etc.
  • Determine which coverages to limit or even exclude based on the characteristics of a particular neighborhood/community (e.g. for an apartment complex, review the crime data to determine the level of property and violent crime in the area and limit/exclude coverages accordingly).
  • Evaluate concentrations of exposure in particular for a schedule of risks, as crime codes can vary greatly within the boundaries of a single city.
See also: Fighting Fraud With Data Analytics Check out this article for more information about how to use expert crime data within SpatialKey to inform your underwriting.

Rebecca Morris

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Rebecca Morris

Rebecca Morris has 13 years of insurance industry experience and a passion for problem-solving. With a background in insurance analytics, she has put her mathematics expertise into action by leading the development and delivery of SpatialKey’s financial model.

What’s New in Fight Against Fraud?

Machine learning, social media and aerial imagery, relying on massive amounts of new data, can change the game on insurance fraud.

Insurance fraud has been around since, well, the beginning of insurance. The ancient Greeks created a form of maritime insurance to indemnify against potential losses incurred with the sinking of a commercial ship in transit. It became a common scheme for the boat owner to hide the boat in a foreign port and collect the insurance money. Even in those early times, special investigators were hired to determine if the boat had indeed sunk. Fast-forward to the present, and, for the last few decades, the industry has been using increasingly sophisticated technology to address fraud. Now, several technologies can change the game for detection. For example, machine learning, social media and aerial imagery can all contribute. All generate and rely on massive amounts of data, including many new data sources. Whether we are talking about opportunistic fraud or organized crime rings – these technology areas provide terrific opportunities to combat fraud. Of course, fraud may occur during the underwriting OR the claims process. When a person or business is applying for insurance, there is always the potential to purposely supply incorrect information to get a lower rate. On the claims side, fraud may occur at many points during the lifecycle. In the case of staged accidents, it is occurring even before the accident occurs. So how is the advance of technology aiding in fraud detection today? First, let’s look at new data sources. Rate evasion can be more easily spotted today due to the wide variety of new data sources that can provide checks on the information provided by a customer or agent. For example, for auto, it is easier to spot true garaging locations or identify if a vehicle has been in a flood. For property, there is a wealth of data about the current characteristics of the property. See also: Identifying Fraud in Workers’ Comp   When it comes to machine learning, big data approaches with massive computing power and huge data sets can spot patterns and anomalies that it would be impossible for humans to spot – and do so with a lower rate of false positives. Social media has become a central tool for investigators and law enforcement, especially for workers’ comp fraud. We’ve all heard stories about individuals claiming disabling injuries then show up in Instagram pictures skiing or skydiving. The social media universe also yields a lot of information about connections between various individuals and businesses that can be mapped to identify fraud rings. Using aerial imagery, it becomes easier to compare before and after pictures of a property to determine if damage was caused by a particular weather event. One of the biggest benefits of all this new capability is that technology allows fraud to be detected significantly earlier in a claim and with greater accuracy, so that Special Investigative Units (SIUs) and claims processes are more effective (compared with before, when SIUs or management found out about a fraud three to four weeks or longer after FNOL, by which point it was too late). There is still much work to be done to find the right solution partners, integrate new solutions with existing systems and determine the optimum balance of technology and human expertise. But there is now greater potential to finally make significant headway in reducing fraud, especially the potential for earlier identification and more accurate outcomes. That’s what’s new and encouraging in this long-running battle!

Mark Breading

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Mark Breading

Mark Breading is a partner at Strategy Meets Action, a Resource Pro company that helps insurers develop and validate their IT strategies and plans, better understand how their investments measure up in today's highly competitive environment and gain clarity on solution options and vendor selection.

Popeye’s Chicken, IT And Insurance

If you are in management, when was the last time that you personally examined your systems from an outsider’s standpoint?

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With my wife, Mary Ann, away for two weeks, I’m always looking to score some good food. I live in a small town, where the Super Walmart is the local cultural and epicurean haute cuisine epicenter, so I normally must travel to another town to find something decent to eat. I’m not trying to be a food snob, but that’s just the way it is here in central Florida, where the three basic food groups are defined as Bar-B-Q. While Popeye’s Louisiana Kitchen is certainly not anywhere near any Michelin stars, I like their spicy fried chicken. Forgive me, Julia Child, but I like the flavor and texture. So last Sunday I made my way to the closest Popeye’s drive-thru line. My wife had suggested that I order enough chicken for multiple meals, instead of just for lunch, and I was happy to follow this advice. So, when I got to the menu, instead of ordering a three-piece, I decided that the eight-piece family meal was the right choice. I mean, my wife made the suggestion. As I pulled up to the microphone, I heard a friendly Popeye’s employee ask for my order, or so I assumed. The sound quality was very poor. I said I wanted the eight-piece family meal, spicy. What happened next is where the unlikely alliance starts. The Popeye’s employee started to speak, but the sound was so garbled and filled with static that I could not make heads or tails of it. I did recognize the number nine, but that was about all I understood. Because there was a line of cars behind me that was wrapping around the block, I didn’t want to do anything that would slow the process, so I repeated that I wanted the eight-piece family meal, spicy, and I was able to make out an “OK” over the speaker. As I got up to the window to pay the happy and friendly Popeye’s employee, I mentioned that I heard something about the number nine but couldn’t understand what the person was saying. It turns out that Popeye’s was running a promotional deal. The standard, eight-piece family meal is $13.29, but there was a nine-piece meal available for $12. 99. I cocked my head to one side and said, “So, I can get an extra piece of chicken and save money at the same time? What a deal! Please change my order from eight to nine pieces. And please be sure to make it spicy.” They changed the order; I got an extra piece of chicken while saving 30 cents, and I was happy. That extra piece of chicken seemed to be especially tasty. See also: Using Technology to Enhance Your Agency   My satisfaction as a customer had been blocked because I could not understand the information or my options. My customer experience was later elevated when I got the correct data and options, making it possible to make an informed decision. The data was there all the time, but faulty technology made it difficult, if not impossible, for me to understand my options. I began to wonder: When was the last time that an employee pulled up to the drive-thru and tried to order something like a normal, everyday person? What about the shift manager? The store manager? The franchise owner? Harper Lee was right when she wrote those immortal words in "To Kill a Mockingbird" for Atticus Finch to share with his children, “You never really understand a person until you consider things from his point of view...until you climb into his skin and walk around in it.” While I’m not a betting man, I would gladly wager all the money in my pockets and my checking accounts that no one in management has ever gone through the drive-thru. If they had, I feel confident that my technology experience would have been radically better. Is it the same? Whoever you are, you are reading this because you are interested in the insurance industry. And you are thinking one of two things;
  • Yes, ordering chicken and insurance ARE the same. Chicken is chicken, and insurance is insurance. Both are commodities. Or,
  • No, ordering chicken and insurance ARE NOT the same. While chicken may be chicken, all insurance is not created equal and is not a commodity.
Irrespective of your perspective, selling and servicing insurance depends on clear communication with prospects, customers and authorized third parties. If the data and communications are not clear, then cost and frustrations go up while satisfaction and utilization go down. It is paramount that selling and servicing insurance be based on information, communication and transparency. If you are responsible for systems that collect or share insurance data, when was the last time that you personally examined the system from an outsider’s standpoint? Brought someone alongside who’s not directly involved with the insurance space and walked the person through your data collection and exchange solutions? Collected direct feedback for your users? Made changes in response to user feedback? Moving forward From a technology standpoint, there is much that can be done to enhance communication with prospects, clients and third parties while mitigating miscommunication. Here are six areas to consider; User eXperiences:
  • Don’ts – pave the historical cow path of ACORD/company forms, internal screens or database layouts.
  • Do’s – reimagine the experience based on the user’s perspective alone. Make it easy to follow and use, be sensitive to screen real estate size or constraints.
Start and Stop:
  • Don’ts – force users to gather and complete data entry based on what’s convenient for your system or organization.
  • Do’s – allow users to start, suspend, restart and change the basic intent of the transaction, even allowing them to reorder the screen and field flows.
Big Data:
  • Don’ts – assume that third-party data is valid, clean or up to date.
  • Do’s – tell users what third-party data you are going to access before you retrieve it, show the data to them and ask for feedback.
Artificial Intelligence:
  • Don’ts – hide the AI process, results or how it hurt their eligibility or rate.
  • Do’s – practice complete transparency about your use of AI, explain what it is, what data you are using, sharing both intermediate and final results.
Risk:
  • Don’ts – camouflage what are the favorable risk factors that you are looking for.
  • Do’s – be transparent on both favorable and unfavorable risk factors and what the user can do to reduce their risk.
Reading:
  • Don’ts – use arcane, overly complex and statutory-sounding insurance jargon and terms.
  • Do’s – as the March Hare said, “say what you mean” as simply and straightforwardly as possible for all text on screens, definitions and forms.
See also: Emerging Technology in Personal Lines   If you are looking for some instant, quick fix, low-hanging fruit or some other consult-speak buzzword solution, you need to read a different article by a different author. Improving clarity, understanding and transparency are long-term tasks requiring refinement over time. But we need to start somewhere, and where we are is as good a place to start as any.

Chet Gladkowski

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Chet Gladkowski

Chet Gladkowski is an adviser for GoKnown.com which delivers next-generation distributed ledger technology with E2EE and flash-trading speeds to all internet-enabled devices, including smartphones, vehicles and IoT.

How Machine Learning and AI Reduce Risk

Thanks to recent technological advances, risk management is about to get a long overdue upgrade.

Risk management is integral to insurance, but it’s traditionally been an inexact science. Thanks to recent technological advances, however, risk management is about to get a long overdue upgrade. If an eyebrow is raised, it is likely because the insurance industry has been slow to adopt technology, but artificial intelligence (AI) and machine learning are making headway. The appeal in using data to predict outcomes, drive efficiency and reduce costs has sparked intrigue and curiosity. Tack on the ability to make jobs easier and facilitate claims faster, and even the biggest skeptics, those most resistant to change, are curious about how AI can be applied. Despite the aversion to tech or potentially costly, time-consuming operational overhauls, AI systems already have been put to work in some of the world’s largest insurance organizations, where they are used to address highly specific issues that have plagued different sectors for years. Now, the time has come to consider how AI can help with risk management. New Data, New Insights Much of the information that risk managers value in making assessments is not readily accessible to them today. Data in claim notes, documents, images, even injured worker sentiment requires someone manually poring through files because this type of information can’t be entered or sorted in conventional systems easily. But new, AI-based systems can incorporate and analyze these forms of unstructured data. They make it much simpler for employees — even the least tech-savvy employees — to find and interpret the elements that will be the most crucial to their decisions. See also: How Machine Learning Transforms Insurance   Additionally, the more that AI-based systems “read,” the faster and better they learn and understand. Models that leverage unstructured data yield more accurate and detailed analysis, and, by enabling adjusters to make more informed decisions based on data, organizations can reduce the severity and frequency of claims. This makes everyone happy. The industry can move light years forward by delivering this kind of data and analysis to risk managers’ fingertips whenever they need it. Group Analysis Another way in which new AI-based systems can help risk managers is by analyzing data across groups. It’s far more efficient to grasp what is happening across a portfolio or set of claims when a machine generates a report vs. reading file after file to formulate an opinion. With new tools, risk managers easily can look across very large datasets to see what’s happening collectively. They can determine the macro impact instead of relying on an isolated view of a single claim. In addition to the time and resource advantages, AI-based software spots trends and outliers that cost money unnecessarily. Collective View Vs. Limited Project Basis AI models also are able to draw on a wealth of historical information — information that is constantly updated. This stands in contrast to the way the world of risk works today, where most analysis is conducted on a project basis. The project ends; so does data collection. Important information is often lost in the lapse between projects. Modern AI systems solve the issue by persistently refreshing to ensure updated reports can be ready on demand. The result is a much richer and more realistic picture of what is happening in an organization’s claims. Power of Prediction The gold for risk management, however, lies in AI-based solutions’ ability to predict outcomes. AI applies science to risk management based on an incredible number of data points that should be considered in helping teams prepare for the future. Modern systems show risk managers the behaviors that need to change, assumptions that are incorrect and what things will look like if they continue to follow the present course. This information is so important because every customer or risk manager has observed different behaviors, which shape their views and how they conduct their jobs. AI systems parse all of this behavior to give a far more comprehensive view. Systems then can alert users to adverse trends that are developing so that teams can adjust accordingly. This not only decreases the lifespan of claims but potentially can save millions of dollars. To gain the best predictions, however, it is necessary to use a platform solution that lets users easily gather insights and create models that learn from the entire industry, not just their own data. They then apply that information to a specific customer’s data. The more data a system can analyze, the more patterns come up, yielding more precise and valuable predictions. See also: Key Challenges on AI, Machine Learning   Armed with an abundance of data that is simple to access and interpret, claims managers can do their jobs faster and more easily than ever. This can make a potentially huge positive impact, not only on their own organization but also on the larger sector. As machine learning and AI-based technologies mature and are more widely adopted, the industry will become more exact. Costs will drop, and efficiency will improve, ultimately helping to transform the insurance industry. As first published in WorkCompWire.

Pramod Akkarachittor

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Pramod Akkarachittor

Pramod Akkarachittor, vice president of products at CLARA Analytics, has more than 20 years of enterprise product management and development experience. He is charged with overseeing products across the CLARA platform.

Can You Recession-Proof Your Business?

Companies that provide the best customer experience consistently outperform during downturns. Now is the time to invest in CX.

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The U.S. has enjoyed the longest economic expansion in American history. One thing’s for sure, though – it’s not going to last. Recessions are a normal part of the economic cycle. Expansions lead into contractions, which then lead into more expansions, and so on.  The next downturn is coming, even if no one can predict exactly when. It’s been a while since people had to talk about how to “recession-proof” their business. Indeed, given the length of the current expansion, there are plenty of business leaders out there who have no experience navigating a downturn. For many, the knee-jerk reaction to a slowdown is to cut expenses – curtail travel, freeze hiring, postpone investments. While that can help, it can also hurt. A lot depends on where cuts are made, and how those cuts affect the customer experience. To illustrate the degree by which customer experience can truly recession-proof a business, we pulled data from Watermark Consulting’s Customer Experience (CX) ROI Study. (The study analyzes the stock market performance of the top-rated companies in customer experience versus the bottom-rated. Follow the link for details on the study’s methodology.) See also:  Key Changes for Customer Experience   Specifically, we looked at the performance of CX Leaders and CX Laggards during the last U.S. recession, 2007-2009. (We chose that span based on the National Bureau of Economic Research’s official designation of when the last contraction began and ended.) The story the graph tells is striking. While CX Leaders weren’t immune from the recession, they clearly fared better than other companies. Whereas the broader market and the CX Laggards lost significant market value during the contraction, the CX Leaders actually notched positive returns. What does that tell us? It certainly suggests that the quality of a company’s customer experience does influence its ability to weather a recession. CX Leaders tend to be cushioned from the most severe impacts of a downturn, because they represent one of the last places people cut back (or seek less expensive alternatives), as well as one of the first places to which they return. Of course, the protection a great customer experience affords during economic slowdowns isn’t unqualified. There are many ways a company can sabotage its own success, despite offering an appealing customer experience (see this story about the 2011 bankruptcy of the top-rated company in customer experience). However, in general, companies offering a top-notch customer experience are far-better-positioned to withstand a recession than those that don’t. For business leaders, this means two things:
  • First, when the economy is expanding or business is good, invest in the customer experience to further differentiate your company in the marketplace. This might sound obvious, but the fact is, when revenues are growing and the future looks bright, many organizations de-prioritize CX investments, under the premise that, if business is booming, customers must already be happy and loyal.
  • Second, when the economy sours or business slows, be especially judicious when considering expense cuts that could materially affect customer experience. Such actions might yield short-term gains, but they also introduce serious long-term risks. Furthermore, don’t ignore opportunities to actually improve the customer experience while simultaneously lowering expenses (read more about that approach here).
See also: Customer Experience Gets a Major Facelift   Famed investor (and CEO of Berkshire Hathaway) Warren Buffett once commented that “You only find out who is swimming naked when the tide goes out.” His point? Every business leader looks smart during economic booms; it’s only when adversity strikes that you see who the real geniuses are. With an economic slowdown looming, the tide will soon go out. What will it reveal about your business?

Jon Picoult

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Jon Picoult

Jon Picoult is the founder of Watermark Consulting, a customer experience advisory firm specializing in the financial services industry. Picoult has worked with thousands of executives, helping some of the world's foremost brands capitalize on the power of loyalty -- both in the marketplace and in the workplace.

Walmart May Redefine Primary Care

The health outcomes improvements and savings associated with only using high-performing physicians should be profound.

When Catalyst for Payment Reform hosted a webinar that provided a glimpse into Walmart’s healthcare strategy and management plans, Lisa Woods, senior director of U.S. benefits, talked about a new program to simplify and improve healthcare, particularly primary care, for Walmart’s million-plus associates and their families. She alluded to Walmart’s well established and continuously expanding Centers of Excellence (COE) programs, as well as two new programs. First is a personal healthcare Assistant, powered by healthcare navigation firm Grand Rounds, that helps Walmart associates with billing and appointment issues, finding a quality provider, understanding a diagnosis, coordinating transportation, arranging child care during appointments and addressing other important patient needs. Walmart has also broadened its telehealth offerings, including for preventive health, chronic care management, urgent care and behavioral health. All video visits have a $4 copay, and associates can book an appointment with a primary care physician within one hour and a behavioral health visit within one week, making services highly accessible. Partners for this program are Doctors on DemandGrand Rounds, and Healthscope Benefits. Daniel Stein and Matthew Resnick, from physician profiler partner Embold Health, described how their data collection/analytics approach identifies physicians with histories of providing the most appropriate care. In three markets – Northwest Arkansas, Tampa/Orlando and Dallas/Ft. Worth – Walmart’s “Featured Provider” program will connect patients to the high-performing providers that Embold has identified in eight specialties: primary care, cardiology, gastroenterology, endocrinology, obstetrics, oncology, orthopedics and pulmonology. Walmart has been a key partner in the development of Embold Health – Stein, the CEO, Stein is a former Walmart medical director – and its efforts to accurately profile the quality of healthcare delivery at the individual physician level. The health outcomes improvements and savings associated with only using high-performing physicians should be profound. See also: 11 Ways Amazon Could Transform Care   The changes that Walmart has announced reflect a laser focus on solving specific problems, like overtreatment and patient difficulty with navigating the system, that plague all primary care programs. The company has been tinkering with and testing different primary care models for a decade or more. As with its COE program, the goals of Walmart’s new healthcare programs are a more refined, disciplined and methodical set of innovations focused on driving better care, a better patient experience and lower cost and that, for the most part, are not yet available to most primary care patients elsewhere in U.S. healthcare. As a side note, it’s worth recognizing that, in an ideal world, the major health plans – e.g., United, CIGNA, Aetna, Anthem – with many millions of lives covered, would have pioneered these approaches to manage healthcare risk, to improve health outcomes and to reduce cost. The fact that payers haven’t been motivated along these lines is a reflection of the perverse incentives that have driven the U.S. health system for decades, that all patients and purchasers are up against and that have facilitated the kinds of innovations discussed here. Walmart attacked these problems because it is at risk for its population and its costs. Few employers have the resolve and the resources available to develop key innovations that can move an industry like healthcare forward. Not surprisingly, Walmart appears to see an opportunity here and has larger plans. Walmart almost certainly believes its healthcare efforts are applicable beyond its own population, and, like HavenKroger and Costco, has staked out a healthcare business strategy. Primary care are logical services to begin with, and Walmart has announced that its pricing will be 30% to 50% below conventional primary care prices. Walmart’s focus on improving experience, health outcomes and cost, combined with its national footprint and deep resource base, could immediately catapult it to the first rank of competitors in this space. No doubt, Walmart has its eye on providing primary care services to groups as well as individuals. Relationships with health plans would allow the company to share in the savings it generates through the primary care platform and associated programs. Think about the territory covered here. Walmart intends to:
  • Develop highly price competitive primary care clinics across the country.
  • Offer very low-cost telemedicine that can be a convenient pathway to primary care and other care, streamlining care processes.
  • Implement a personal healthcare assistant that can simplify navigating the healthcare system and expedite a much enhanced patient experience.
  • Connect to the highest-performing local physicians and regional COEs in each specialty, driving appropriate and disrupting inappropriate care and cost, in strong contrast to the inappropriate care and cost patterns that have come to dominate U.S. healthcare.
  • Develop some tie to health plans that would allow the company to benefit from the health outcomes improvements and savings that its management approaches create.
A vigorous primary care campaign by Walmart would undoubtedly threaten traditional primary care models and spur competitive innovation among progressive primary care organizations, especially if the company publicly conveyed a dedicated focus on transparent management of full continuum health outcomes and cost. This would powerfully differentiate Walmart’s primary care efforts from those of competitors like Walgreens and CVS, whose convenience care primary care models are mainly dedicated to maintaining the status quo. See also: Avoiding Data Breaches in Healthcare   Walmart’s activities in this space are one signal that the old paradigm in health care is waning and that a new, value-based healthcare market is emerging. It can’t happen soon enough.

Brian Klepper

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Brian Klepper

Brian Klepper is principal of Healthcare Performance, principal of Worksite Health Advisors and a nationally prominent healthcare analyst and commentator. He is a former CEO of the National Business Coalition on Health (NBCH), an association representing about 5,000 employers and unions and some 35 million people.

Key Tips on Prep to Settle the Claim

The claimant attorney may have 10, 25, or 40-plus clients and may not be an expert with the nuances of the case like you can be.

It's time to settle the most onerous bodily injury case in your inventory. The medicals have been evaluated, and you've scheduled a time this week to open the negotiations with the claimant attorney. This three-year-old file is ripe for resolution. The diary is set to flash on your screen. Are you ready for battle? Perhaps you are ready for some adages first? Cover all the bases. Dot the i's and cross the t's. Hope for the best, but prepare for the worst! Here are some key tips:
  • It is crucial to be prepared for the negotiation from the start. Know your file! The claimant attorney may have 10, 25, or 40-plus clients and may not be an expert with the nuances of the case like you can be. The attorney's negotiations may even dance around similar injuries of their other clients (neck and back being the most common). Read the medicals in detail. Ask for missing records if something does not add up. Check the doctor's release notes and enlist the assistance of a handwriting expert if needed (the best argument can often be what the claimant's own doctor documented hidden deep in the 200 pages of medicals that the attorney glanced over casually).
  • Make a list of your strengths and weaknesses. Understand the direction the attorney will go to argue his key points, and be prepared for counterarguments. (Yes, I understand that your client had quite a bit of pain and suffering as you are stating, but on the release date your client reported a one on a one-to-10 pain scale so your argument the client is still in excruciating pain is difficult to fathom based on what you've provided).
  • Don't get into a dollars-based negotiation. Often, attorneys may try to trick the adjuster into a back and forth of only numbers without regard to the details of the case. Let the facts lead in the negotiation, and the dollars will follow. (Make me understand better why your client deserves a $10,000 increase in the offer; what am I missing in my evaluation based on the medicals you provided me?) Concessions and deviations (when supported by facts) are perfectly acceptable.
  • Sometimes just a call before negotiating can also let the adjuster assess the style and technique of the opponent. Your initial call on the attorney's demand may let you ask questions to see how the attorney came up with the number. You are not forced to make a counter right away. That initial call may let you know that you need additional preparation. You can also adjust your negotiating style. Remember to be an active listener.
  • Always consider the intangibles. The injuries and treatment are one aspect, but is there aggravated liability, a potential credibility issue for witnesses on either side, permanency such as scarring (valued differently on everyone) or an impact on the claimant's daily lifestyle following the loss (unable to enjoy life's pleasures post-accident)?
  • Can your medical evaluation benefit from a claim nurse reviewing the file or an additional doctor's review to understand the case notes?
  • Patience is a huge factor in negotiations. They do not need to be finalized in one phone call!
  • Remain professional even if your adversary is not. Lack of professionalism can be a barrier to settlement. Your opponent may not have a case he is confident about and can use a harsh tone to try to intimidate the adjuster.
See also: The Switch to Preventing Claims   A former manager offered me some unique words to live by when negotiating. He would say to the attorney that, at the end of the day, let's arrive at a number that is appropriate for the case. If it doesn't make either of us overly happy, that's fine, as long as we are both equally unhappy! While you will rarely find yourself performing cartwheels at the culmination of the claim, with the right amount of preparation you can certainly position the settlement closer to your intended goal.

Chris Casaleggio

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Chris Casaleggio

Chris Casaleggio is a liability and risk management professional, having worked in the personal and commercial markets with insurance carriers and third-party administrators. He currently serves in a consulting role working with over 50 insurance clients around the globe.

10 Tips That Your Innovation Program Is Failing

sixthings

The saying in journalism is that there are no new stories, just new reporters. It seems the same is true of mistakes in innovation programs: There are no new errors, just new companies making them.

I say that having spent years watching innovation programs at established companies fail for almost the same reasons, time after time. I thought I'd share the 10 most common mistakes, on the theory that it's a lot better to learn from others' costly errors than to make these yourself.

Here are the 10 most dangerous things I've seen companies believe about innovation:

  1. Investment is innovation. It's not. If you're assigning importance to a technology or insurtech based on how much money it has raised, you're making a huge mistake. You are ceding your future to a crowd of financial analysts and technology treasure hunters. Money always looks backward. You need to look forward. The genius behind RiskGenius didn’t suddenly appear once the company raised a bunch of money. The genius was always there, and RiskGenius, whose natural language tools improve the quality and accuracy of policies, should have a game-changing effect. (We told you about RiskGenius almost three years ago because we know there's more to anticipating the success of an early-stage company than the capital raised.)
  2. We're focused on customer engagement. Just stop. Your customers do not want to be engaged by their insurance company any more than I want to engage with the guy who did my colonoscopy. Your customers want to be served. Stop talking about customer-centricity, which is an excuse for spending a ton of time and money trying to figure out how to sell folks more of the products you developed based on what you thought they needed. Try customer empathy instead. Stand in the shoes of your customers (internalizing all their concerns, fears, hopes, dreams, etc.) and look around for solutions. The answer may not be any of your products. It might not be a product at all. But if you genuinely pay attention, your customers will tell you what they will pay for.
  3. Victory will go to the slow and steady. No, victory will go to the deliberate and focused. That may not sound like a huge distinction, but it is. We have found through our work at our IE Advisory unit that the key is to define strategic areas of opportunity, then to adopt an innovation process based on clear boundaries. Don't think outside the box; think inside the box, once you've sharply defined the right box. John Wooden used to tell his basketball teams to be quick, but don't hurry. There's a difference.
  4. It's not us, it's them. When an insurtech fails to deliver the expected impact, the tendency is to blame the startup for malfunctioning technology, a lack of industry knowledge or entrepreneurial hubris. But the industry has, in many respects, been its own worst enemy. The sloooowness of incumbent "innovation" processes can grind early-stage companies into non-existence—they can’t wait for your next quarterly innovation review; they’re trying to make payroll on Friday. Some incumbents major on pilots or proofs of concept, with no real objective—we call this death by POC. Others just use the try-out process to learn as much they can about an entrepreneur's ideas, about tech features and functionality and about possible applications, with no real intent to engage with the early-stage company. The problem is very likely you, not them.
  5. We’ll see the ROI—one of these days. If your innovation team has been at work for a year or two and you have not generated measurable revenue, I mean of a magnitude that nears the cost of your innovation effort, you need to make a change. If your innovation consultants have not generated measurable revenue from the innovation process they helped you implement within a year of their engagement, you need a new adviser. I’m not saying there's a technological magic bullet, but there is an innovation process that can deliver measurable growth, and rather quickly.
  6. We are the best at that already. Not likely. A famous Bain study from about 15 years ago found that 80% of executives thought their company had the best product in the market—and that 8% of customers agreed. Stop kidding yourself. Whatever it is, you are not the best at it—Silicon Valley, not known for its modesty, nonetheless subscribes to a saying from software pioneer Bill Joy: "No matter who you are, most of the smart people work for somebody else." You should adopt that attitude, too. If you don't, you create a barrier that prevents you from seeing opportunities. Look at Amali Solutions, which developed technology that draws amazing efficiencies out of the subrogation process. The payback on purchasing the technology is less than a year. Beat that. But carriers can't see past their existing subrogation processes. They don’t realize that all they have to do is bend over, because there are dollar bills on the ground all around them. There are lots of insurtechs out there that, like Amali, are built to pull hidden value out of an obsolete supply chain, so, if anyone in your organization tells you to ignore a technology or idea because you're already the best, you might start looking for the person's replacement.
  7. We are sticking with what we do. You will at your peril. If you are in claims administration or the management or settlement business, we have a news flash for you: Technology is going to cannibalize your core business—not completely of course, but a lot. You had better figure out how to generate additional sources of revenue.
  8. We are the oldest and biggest. You will be the oldest only as long as you are in business. You might be the biggest today, but by what measure and for how long? Oh, and Sears and Kodak say, “Hi.”
  9. We have time. Maybe, maybe not. When A.M. Best announced earlier this year that it would include an innovation assessment in its financial rating methodology but said it would phase in the weighting of the assessment, a lot of carriers adopted a we'll-cross-that-bridge-when-we-come-to-it attitude. The phase-in sounds to me a lot like those parents who count to three and then wonder why their kids wait 'til "three" to actually move. We have been huge supporters (and in some ways participants) in A.M. Best’s effort because we believe, as they do, that failure of incumbents to innovate is a threat to their long-term financial resiliency. But we don't see any reason for A.M. Best or for any incumbent to count to three. Let's get moving.
  10. The supply chain is what it is. Every supply chain is always vulnerable—ask HP how it did when Dell's hyper-efficient supply chain hit the PC world two decades ago. Don't ever assume that the way things are done today is they way they will always be done. The job to be done in insurance is to provide insurance policies for businesses and consumers, right? Wrong. The job is to provide financial security, to mitigate risks, to help clients head off losses, etc. If you believe we’re just in the business of manufacturing policies, then you’re dead; you just haven’t made it official.

Innovation is a never-ending journey, with defined ports of call along the way. Let’s not keep running aground on the same shoals. We'll still make mistakes, but let’s make new ones.

Cheers,

Wayne Allen
CEO

P.S. If you found this list useful, please pass it along to a colleague or 10 and encourage them to sign up for our weekly newsletter.


Insurance Thought Leadership

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Insurance Thought Leadership

Insurance Thought Leadership (ITL) delivers engaging, informative articles from our global network of thought leaders and decision makers. Their insights are transforming the insurance and risk management marketplace through knowledge sharing, big ideas on a wide variety of topics, and lessons learned through real-life applications of innovative technology.

We also connect our network of authors and readers in ways that help them uncover opportunities and that lead to innovation and strategic advantage.

First Step to a New, Successful Program

Three types of business provide the best opportunities for an MGA launching an insurance program: distressed, perceived distressed and underserved.

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Editor’s Note: This is the second in a series of posts in which CJ Lotter, a 15-year industry veteran, shares lessons learned in the form of guidance to MGAs on the steps required to build a successful program. The first post is here. 

The trend in insurance today is toward large volumes of policies with very little human intervention. Although the cost benefits may be attractive, this movement is leading us toward a commoditization of the industry where the only differentiator is price. Any business-minded person will tell you this is not a good position to be in. 

Ideally, you want to sell unique solutions that are difficult to replicate, raising the barrier to entry. There is an alternative to commodity products. It’s called programs. 

The best program business is difficult to understand, labor-intensive and hard to automate. Unique underwriting expertise is required, and it should be hard to find and difficult to train. The role of technology in this market is to assist the process and provide the flexibility to adapt to unique risks, not to replace human ingenuity with mass automation. 

For an MGA seeking to launch a new program, there are three types of opportunity that provide the greatest potential: a distressed class, a perceived distressed class and an underserved class. 

A distressed class is one that most underwriters don’t understand or for which losses are difficult to predict. To underwrite this business, you need unique underwriting skills – an understanding of the nuances of the class and of the characteristics of the risk that could produce significant losses. Clever underwriting and careful selection of risks is key to remaining profitable in this niche. Heavy loss control may be required here, too. Your ability to make this riskier class safer is your competitive advantage. 

See also: 10 Steps to Successful Insurance Program   

Nuclear plants are one example of a distressed business class. The dynamics of radioactive materials and the consequences of their incorrect handling are complicated. Losses are catastrophic and will most likely include loss of life, millions of dollars of property losses and loss of business income. Underwriting this class calls for highly trained underwriters who know a good risk from a bad one. These are specialists who can assess, for example, whether safety manuals and procedures are sufficient to minimize the potential for losses. 

A perceived distressed class refers to business that potential competitors shy away from because their underwriters perceive it as too risky. By careful analysis, a clever underwriter can discover that what others thought were drivers of claims were indeed not so. Ski resorts are one example of perceived distress. Underwriters may avoid this class because of the downhill ski exposure, while the real claims drivers are slips and falls in the restaurant. This is an extreme example, but it illustrates the point. 

The underserved class is another spin on program opportunities. The less competition in a class, the better the chances for a successful program. There are many reasons markets avoid certain classes. It may be that the specific geographic territory is overly litigious or that the universe for this specific class is small. Whatever the reason, once you identify the issue and find a solution or compromise, you will have uncovered a program opportunity with little competition. 

The class may also be underserved because a traditional “old school” risk taker with archaic systems is the only alternative for this specific class of risk. By providing modern technology with automation that makes it easy to do business, you can outperform the competition and capture your fair share of the market. 

An example of this kind of risk may be trash truck operators in the boroughs of New York City. It’s a tough jurisdiction to write trash hauling insurance. A longtime traditional insurance company may have locked up the market. But at the same time, pricing may have crept up over the years, and customer service and loss control may be stale. There is no meaningful competition in this space, and it’s ripe for the introduction of an MGA program. 

Start with an updated product offering that includes new coverages like data destruction and privacy, and dynamic pricing tuned to the characteristics of each individual risk. Round off the offering with quick quote turnaround, killer personalized service and fast and fair claims handling, and you’ve got a program that will attract business from the incumbents. 

See also: Is There a Future for MGAs?   

So, there you have it – three scenarios that provide the first ingredients for building a new insurance program. Whichever you choose, when you create your program, ask the following question: “Will my program be so different that it will be difficult to duplicate, and so appreciated by buyers that price will not be the focus?” If your answer is “yes,” you have taken the first step to a successful program. 

Excerpted with permission from Instec. A complete collection of Instec’s insurance industry insights can be found here.


CJ Lotter

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CJ Lotter

CJ Lotter is the director of engagement management at Instec. He spent nine years as chief research and business development officer at the U.S. programs division of Willis Towers Watson.

A Maritime Metaphor for Change in P&C

Innovation requires tapping into an ecosystem of partners that can accelerate change without disruption to your legacy and core systems.

"The pessimist complains about the wind; the optimist expects it to change; the realist adjusts the sails." – William Arthur Ward, Writer New digital technologies, increased competition and changing customer demands are forcing 61% of insurance carriers and financial services firms to move away from traditional business models, according to a recent global study of C-suite insurance and financial services executives. While we don’t need a study to tell us that digital disruption is real, what’s mind-boggling is what the other 39% of organizations are (or aren’t) doing about it. To use a maritime analogy, there are essentially three types of organizations out there. The pessimist says, “Humpf, this storm will surely wreck our ship, so we’re staying in port.” The optimist says, “We’ll stay the course and hope the storm passes.” The realist says nothing—and plots a new course. Where does your organization fall? One thing is clear: The seas are changing, and the time has come to make some pivotal choices about where and how you’re going to steer your ship. Ecosystems and interoperability are the waves of the future All the waste and operational inefficiency that exists in the current P&C environment is simply not sustainable. By getting on board with a more open ecosystem, organizations can accelerate innovation and move our entire industry forward faster. See also: Road to Success for P&C Insurers   The bigger the ship, the harder it is to stop or turn on a dime. You understand the need for change, but inertia is keeping you from dealing with a host of challenges—from complex, inflexible legacy systems to regulatory considerations, sunk development costs and just plain skepticism about whether new solutions can deliver on their promises. I understand and can empathize with all of these hurdles, having spanned the spectrum of the insurance value chain in my career, from broker to modeler and now solution provider. Change is fraught with risk. But staying the course is its own risk. “Well, in insurance, we move slowly,” isn’t an argument you’ll hear from those in the 61%. Not when there are a host of practical technologies and platforms, such as innovations in data and analytics, that have been built to complement existing systems—and can be implemented right now, not years from now. Pragmatic innovations, ecosystems and interoperability accelerate change Scott McConnell, divisional president for NTT Data Services, who published the global C-suite study previously mentioned, wrote in an Insurance Thought Leadership article: “Modernization and core systems have been a conversation for years, but insurers no longer have to face the costly and time-consuming option of replacing legacy technology – or continuing on the same limited path. With a digital business platform (DBP), they can adopt and integrate new technologies with their existing core systems, allowing them to work with a global ecosystem of partners to become more nimble and customer-focused.” No matter the size of your ship or the complexity of your systems, reaping the benefits of more pragmatic technologies means tapping into an ecosystem of partners that can accelerate change without disruption to your legacy and core systems. But, while having a host of practical point solutions to assist in core workflows is necessary, it’s not entirely enough. The ability to advance innovation and market efficiency hinges on improved connections between systems, or interoperability. To effectively leverage practical solutions, investment and attention must be paid by insurers, reinsurers, brokers and solution providers to advance interoperability among systems. This includes the formation of open data standards for the transfer of data in the marketplace, open modeling and data platforms to allow the market to leverage a best-of-breed view of risk across a multitude of expert providers. Likewise, open APIs are needed to facilitate seamless workflow integrations between in-house systems, technology providers and modelers/data providers. Keep it smart and simple It’s clear we’ve reached uncharted waters in our industry. Will you stay the course or brave new seas? Sure, there are regulatory and change management considerations along with competing priorities—all of this is true. The first step starts by acknowledging all of it and recognizing you can't just wait. There are practical innovations right in front of you that you can do and that can create momentum without heavy investment in time and resources, and without totally redoing your legacy systems. See also: Provocative View on Future of P&C Claims I challenge you to think about how you can bring simplicity to some very complex problems. Look to your partners. Look to your customers. Look to pragmatic technologies. And then plot a course for change.

Bret Stone

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Bret Stone

Bret Stone is president at SpatialKey. He’s passionate about solving insurers' analytic challenges and driving innovation to market through well-designed analytics, workflow and expert content. Before joining SpatialKey in 2012, he held analytic and product management roles at RMS, Willis Re and Allstate.