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Re-engineering Claims Payments

A recent survey found that 42% of consumers would be more likely to stay with an insurer that pays approved claims within minutes.

Since COVID-19 made its way into the U.S., insurers have been hyper-focused on customer retention.  

But priorities have shifted since the beginning of the year. A Celent survey released in January revealed that most companies were confidently readying for a year that would focus on innovation and be characterized by investments in digital claim offerings, client satisfaction strategies and process optimization. Fast forward to April, when a follow-up survey found that innovation took a back seat to customer retention, process optimization and cost-reduction measures as insurers responded to the 2020 pandemic dynamic.

One strategy remained high on the list: the need for digital transformation, especially in the area of claim payment.

A recent Metabank survey found that 42% of consumers would be more likely to stay with an insurance provider that pays approved claims within minutes. Findings from a VPay report revealed that the majority of policyholders — especially across younger generations — would change carriers to gain access to real-time payment. 

Consequently, groups that are still dealing primarily in paper for claim payment processing must act as their future competitiveness hinges on getting money into policyholders’ hands quicker. And those insurers that have already taken some action on the digital payment front — such as implementing automated clearinghouse (ACH) — can no longer rest on their laurels. Next-generation claim payment will be characterized by an expanded portfolio that considers a wide range of offerings, from ACH and virtual cards to push-to-debit and mobile e-payment. 

See also: Transforming the Claims Space

In the near term, insurers would be wise to consider how to make claim payment as convenient as possible through the provision of more payment options. For example, web-enabled solutions that enable the policyholder to quickly approve payments and opt for e-payments will become key differentiators. The lag time associated with ACH payments will not suffice any longer as the industry moves closer to real-time payment.

Consumers are also increasingly looking for personalized experiences. Options that allow policyholders to select their preferred form of payment, whether a digital offering or paper-based check, improve customer satisfaction across a wide array of generations.  

As insurers speed process reengineering strategies, many are finding that the business case for outsourcing digital payment is easy to make, according to the most recent Celent report. Findings suggested that many groups were considering pushing out non-strategic activities, such as payment, to third parties, as they lacked the infrastructure and expertise to implement and oversee a digital strategy that complies with regulatory requirements and protects security. 

A Growth Strategy for 2020 and Beyond

The introduction of COVID-19 has undoubtably left a lasting mark on the insurance sector, uncovering areas that left many companies exposed in terms of process optimization. These shortfalls only further underscore the need for digital adoption — especially as it pertains to claim payment. Insurers that embrace the digital age during COVID-19 recovery and beyond will be better positioned for future success and sustainability.


Elisa Logan

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Elisa Logan

Elisa Logan is vice president of marketing at Optum Financial. Logan’s focus is to provide strategic leadership and drive company growth. She brings over 25 years of B2B strategy and marketing experience to her role.

The Future of Blockchain Series Episode 1

Episode 1: Usage in Personal Lines

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Blockchain has incredible potential to impact traditional business functions and inspire new innovative opportunities

A key benefit of the technology, providing a single source of truth kept up to date in real time and accessible through permissions by all stakeholders, has huge implications for the insurance and risk management industries. This webinar begins by exploring blockchain’s promise, then dives into the technology’s use in personal lines, highlighting two production-ready use cases. The adoption of this technology could save the industry $1 billion a year.

Watch to learn:

  • Where blockchain is about to make a big impact  
  • The road map for the future of blockchain
  • The status of active use cases and their testing schedule
  • How to start preparing to reap the benefits

Don't miss this free on demand panel discussion.


Presenters:

Christopher McDaniel 

President
The Institutes' RiskStream Collaborative

Christopher McDaniel is President of The Institutes' RiskStream Collaborative, an unprecedented, industry-led consortium collaborating to unlock the business potential of blockchain and other insurtech technologies across the insurance industry. 

He has 30-plus years experience in the financial services industry, including in organizational transformation, process improvement, roadmap development, project management and all facets of operations and technology. He has extensive experience in Property and Casualty, Reinsurance and Life and Annuity.

Most recently, before joining The Institutes, McDaniel was a Specialist Leader in Deloitte Consulting Insurance Practices, specializing in Strategy and Operations. Before Deloitte, he was the SVP of Operations & Technology for the Insured Retirement Institute.

Patrick G. Schmid, PhD

Vice President
The Institutes’ RiskStream Collaborative

Patrick G. Schmid, PhD, is the Vice President of The Institutes’ RiskStream Collaborative, a risk management and insurance blockchain consortium. Dr. Schmid coordinates RiskStream’s consortium of insurers, brokers and reinsurers and collaborates with industry participants and technical partners. Together, the consortium develops production-ready applications that can lower costs, improve the customer experience and drive efficiency across the insurance industry. 

Dr. Schmid formerly served as the head of The Institutes' Enterprise Research department, where he led a team of data scientists and researchers in developing analytical solutions and market insights. Prior to working in the insurance industry, he worked as an economist for Moody's Analytics.

He was the 2018 recipient of the International Insurance Society’s Leaders of Tomorrow award.

Paul Carroll

Editor-in-Chief
Insurance Thought Leadership

Paul is the co-author of The New Killer Apps: How Large Companies Can Out-Innovate Start-Ups and Billion Dollar Lessons: What You Can Learn From the Most Inexcusable Business Failures of the Last 25 Years and the author of Big Blues: The Unmaking of IBM, a major best-seller published in 1993. Paul spent 17 years at the Wall Street Journal as an editor and reporter. The paper nominated him twice for Pulitzer Prizes. In 1996, he founded Context, a thought-leadership magazine on the strategic importance of information technology that was a finalist for the National Magazine Award for General Excellence. He is a co-founder of the Devil’s Advocate Group consulting firm.


Additional Information

Blockchain has long been seen as having great promise, but somehow just over the horizon. The benefits have now become tangible and are about to start rolling out across the insurance industry. This webinar lays out the broad promise, then dives into personal lines, where blockchain will soon go into production -- and where just the two use cases covered here could save the industry as much as $1 billion a year.

Who should watch:

  • Executives at P&C companies, especially in personal lines, or any executive involved in innovation
  • Technologists
  • Operations executives focused on driving down costs

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.

P&C Distribution: Blending Models

For every line of business across P&C, there are compelling reasons to expand distribution beyond the tried and true channels.

A great deal of activity is underway by insurers investigating or implementing new distribution channels. For every line of business across P&C, there are compelling reasons to expand distribution beyond the tried and true channels. This is not to say that agent/broker channels or the direct distribution models are less important or going away. It is more about reaching new segments, addressing new customer expectations and meeting customers at their point of need.

There are two important dimensions to the strategies: 1) determining the right mix of channels for each company, and 2) managing those channels, including any related channel conflict. SMA addresses these two dimensions in a new research report, P&C Distribution R(evolution): Blending Old and New Models

Determining the Right Mix of Channels

Depending on how you count, there are at least eight different models for distribution in P&C, and variations within each of those. There are the models most in use today – captive agents, independent agents and brokers, MGAs and, in some segments, the direct model (call center/web). Then there are those that have been around for a while but are experiencing a surge in interest, such as selling through affinity groups or bundling insurance with the product to be insured. Even worksite marketing, which has been primarily the province of voluntary benefits and life/health, is an option for P&C distribution.

Now, introduce some of the digital age models like the creation of a digital brand or selling through emerging ecosystems like smart homes or connected vehicles. And, of course, there are many insurtech distribution players now in the mix, either in the form of digital agents or MGAs, new digital brands or new affinity or ecosystem partnerships. As with many strategy options in the digital age, there is no shortage of choices. More than ever, the key is to take an outside-in view to identify more discrete customer segments, the risks unique to those segments, and the best channel to reach those customers with products that serve their needs.

See also: Best AI Tech for P&C Personal Lines

Managing Channels, Including Channel Conflict

Some insurers will stick with one primary channel and work to strengthen the relationships and the technology capabilities supporting that channel. However, many are expanding by offering new channel options. When this occurs, there is often an issue of channel conflict, especially when an agent channel has been the primary channel. This is nothing new – insurers have been dealing with this since the early days of the internet, when it became apparent that new distribution models would emerge. However, our findings indicate that the agent/broker community, in general, now accepts the notion of multi-channel distribution. It does not necessarily mean that they are happy about it, but most understand it is the reality of the P&C world today. The key for insurers is finding the right approach to differentiation.

The Future of Distribution

We expect to see a more varied mix of distribution channels for P&C. There will likely be all manner of channels. As connected world ecosystems continue to evolve around property, vehicles, farms and other areas, the paths to the customer will expand. New technologies are likely to increase exposures in some areas (such as cyber) and introduce unexpected risks that need insurance coverage. And, yes, in the midst of all this change, there will still be agents and brokers playing a key role in insurance distribution in the future.


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.

How AI Can Tackle Claims Staffing Gap

A job description with “acquire AI superpowers” might appeal to millennials more than “study policy footnotes and calculate claim reserves.”

Commercial insurance faces a growing claims adjuster staffing gap. On the retirement end, there’s a rising tide of experienced adjusters leaving the profession. According to the Pew Research Center, nearly 10,000 baby boomers retire each day in the U.S., and about 25% of them leave positions in the insurance and financial services sector. Seasoned adjusters leave with a wealth of experience built up over decades, leaving newer adjusters to handle a rising volume of claims.

On the entry side, few adjusters are entering the business to make up for the wave of departures. According to the Hartford’s 2015 Millennial Leadership Survey, only 4% of millennials are interested in entering insurance, compared with 36% interested in education and 31% interested in healthcare. The gap is especially acute in commercial insurance, where few college graduates have been exposed to workers’ comp, business continuity and other types of claims outside of personal lines.

There’s little indication that COVID-19 has changed this dynamic. While job listings for “insurance adjuster” have risen, according to ZipRecruiter, insurance caseloads also continue to rise, increasing pressure on claims teams facing waves of new types of claims, from COVID-19 workers’ comp to business interruption.

One way that carriers can change the game and attract millennials is by focusing on artificial intelligence (AI), which itself is experiencing a surge of interest. AI is commonly seen as a replacement for people, a way of fully automating jobs to prevent the need to even hire in the first place. But the real value lies in machines and humans working alongside each other, where machines can enhance humans’ natural instincts.

It’s this augmentation role that makes AI an appealing solution to the industry-wide talent gap — across three broad dimensions.

Break out of the mundane

The first way AI can help is by handling aspects of the adjuster’s job that are more routine and thus less appealing. AI techniques like machine learning are optimal for handling an array of calculations, such as estimating reserves needed for a claim or tracking the cost of medical bills that have been paid. Natural language processing can identify relevant comments and insights in a sea of text, reducing the need to parse every document that emerges. Entity resolution detects when multiple providers, attorneys or companies are actually related in some fundamental way, which can significantly cut down time-consuming legwork that can go into sizing up the various players engaged in a claim.

In these examples, AI gives adjusters superpowers that free them to focus on the more nuanced and interesting aspects of claims adjusting. A job description with “acquire AI superpowers” might appeal to millennials more than “study policy footnotes and calculate claim reserves.”

See also: How to Recruit Claims Adjusters

A natural mediator

The second major appeal AI offers is in transforming a potentially adversarial relationship into a more mutually supportive one. The traditional workers’ comp claim can feel like a one-dimensional tug-of-war between adjuster and claimant — where one’s gain feels like the other’s loss. But AI can find win-win breakthroughs by considering a wider range of factors and data.

By identifying doctors with successful track records in a specific injury type, for example, AI can get workers to providers that enable them to recover faster, while also reducing both the workload and cost for the adjuster. Automatically interpreting adjuster and provider notes can detect situations where the worker is confused about the claims process, enabling adjusters to address the confusion before it becomes a deeper source of frustration.

Aligning adjuster and claimant plays to the healing side of claims adjusting — and to a new generation that is increasingly looking for meaning in their work. In the 2019 Rising Medical Solutions survey of over 1,000 claims professionals, 36% of respondents indicated that shifting to an advocacy model with workers would improve the reputation and social image of their organizations. Lifting the social image of the organization and profession will increase the appeal to millennials and Generation Z, both more mission-focused cohorts than older generations.

An expedited ramp-up

The third way AI can attract talent is by helping newcomers optimize their impact within months versus having to invest years in traditional training. AI-generated recommendations can come with explanations that show how they were arrived at. This gives the user confidence in the recommendation. It also provides the user with guidance to accelerate overall mastery of the domain.

Adjusters can generate their own insights and recommendations, looking at the various factors in the claim, then compare those against the AI-generated answers, giving the adjusters a ready-made feedback loop to train themselves over time. Newbies can play this “guessing game” until they get enough right answers to start taking action on real claims. They’ll, of course, need training from experienced colleagues, but this approach can get them up to speed faster.

Claims professionals can set themselves up well for future changes by playing up their familiarity with AI. Insurers can emphasize the AI fluency that adjusters will gain from specific roles. Adjusters can increasingly reference AI strengths on their resumes. Technically inclined claims professionals can shift all the way into business intelligence, machine learning or data engineering tracks, which are among the fastest-growing in the entire economy, according to LinkedIn. Claims operations end up with an increased flow of talent and a strengthened internal mobility program that they can showcase to new candidates.

See also: Transforming the Claims Space

The adjuster recruiting challenge didn’t appear overnight and will take years to overcome. But AI is clearly one way smart firms can accelerate progress and stand out to attract a new generation of insurance professionals.

As first published in PropertyCasualty360.


Thomas Ash

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Thomas Ash

Thomas Ash is a former senior vice president at CLARA analytics, the leading provider of artificial intelligence (AI) technology in the commercial insurance industry.

Six Things Newsletter | November 10, 2020

In this week's Six Things, Paul Carroll looks at the new shape of innovation. Plus, transforming the claims space; how AI powers customer contacts; essential steps for cyber insurance; and more.

In this week's Six Things, Paul Carroll looks at the new shape of innovation. Plus, transforming the claims space; how AI powers customer contacts; essential steps for cyber insurance; and more.

The New Shape of Innovation

Paul Carroll, Editor-in-Chief of ITL

When I interviewed Howard Schultz for a magazine cover in the late 1990s, I was struck that he didn’t just talk about imagining Starbucks as a chain of upscale coffee houses like those that had charmed him on a trip to Italy as a young man. He talked about Starbucks as a “third place.” We all have our homes and our offices, he said, but he thought we could all use a “third place” that was somehow positioned between home and office and that let us pursue business or leisure however we cared to.

That thought has stuck with me as I’ve pondered the forms that innovation can take, and the term resurfaced for me when I read a recent interview with Kevin Kelly, a co-founder of Wired magazine and one of the more intriguing thinkers on innovation. He, too, had heard Schultz use his “third place” term and was thinking that the idea of a “third” way could be applied in many areas today. For instance, he said, Uber drivers aren’t really employees in the traditional sense, but they’re also not non-employee contractors. They’re a third thing and should be treated as something new in employment contracts, in insurance and in government regulations.

I think that “third” idea could be important for insurance in two ways... continue reading >

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SIX THINGS

Transforming the Claims Space
by François Metzler

Paying claims needs to be the default, with AI and analytics ensuring that adjusters spend their time more valuably and have more interesting work.

Read More

The Evolution of Telematics Programs
by Harry Huberty

Interest in pay-as-you-drive or pay-per-mile policies has increased in 2020 as more Americans are working from home.

Read More

How AI Powers Customer Contacts
by Patrick Kehoe

Existing and prospective customers now expect prompt, appropriate answers via the channel of their choice, or they may look to your competitors.

Read More

Accelerating Industry’s Digital Scenarios
by Giuliano Altamura

Scenarios that previously seemed like nice-to-haves have suddenly escalated to urgent, and futuristic ideas may become critical.

Read More

Essential Steps for Cyber Insurance
by Ron Pelletier

Corporate IT, legal, risk and business leaders must collaborate on three steps before updating or acquiring new cyber coverage.

Read More

Innovation Comes to Risk Engineering
by Andrew Anzenberger

"From now on, nothing in risk engineering will ever be constant BUT change. If you can’t get used to constant change, you'd better leave.”

Read More

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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.

Are Pay-Per-Mile Policies Here to Stay?

Without a daily commute for the foreseeable future, consumer interest in pay-per-mile coverage is on the rise.

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2020 has been a tumultuous time for consumers and businesses alike. The coronavirus crisis led to nearly half of American employees working from home in the spring of this year. Pair that figure with the fact that unemployment rates climbed to nearly 15% in April 2020, and it’s easy to understand why consumers are looking for ways to reduce their expenses and stretch the dollars they have. And why some insurance companies are making unprecedented moves. 

Numerous auto insurance providers took steps to reduce premiums or issue partial refunds to customers in light of the COVID-19 pandemic, but consumers are still on the hunt for savings. Those one-time deals might not be enough. According to a recent study, online demand for new insurance policies has gone up by 27% since March. 

Without a daily commute for the foreseeable future, consumer interest in pay-per-mile coverage is on the rise 

A recent survey by J.D. Power revealed that more than 40% of consumers were interested in telematics-based auto insurance options. This survey was released in May, early in a pandemic that many hoped would be quickly squashed. With COVID-19 cases once again spiking in some states, the interest could be even higher, because customers only want to pay for as much coverage as they use. 

Despite the appeal, true pay-per-mile policies aren’t offered across the board. At present, only a few carriers offer pay-per-mile insurance and determine premiums according to a mileage fee plus a base rate. Also, the potential savings from a pay-per-mile program may not be quite as high as consumers expect. Drivers who log an average of more than 1,000 miles per month (12,000 miles per year) on the road could end up paying more than they would with a traditional auto insurance policy.  

Increased interest means it may be time for more carriers to consider pay-per-mile insurance as a way to avoid customer turnover while increasing potential revenue.

See also: How to Engage Better on Auto Insurance

The impact of pay-per-mile coverage

While consumers may be interested in the option, some insurers' hands are tied. Providers cannot offer these types of policies without first getting approval from each individual state’s department of insurance. In addition, privacy concerns and state regulations can make it difficult or costly for insurance companies to implement telematics-based programs in certain states. At present, usage-based car insurance policies are only available to residents in a little over half of the U.S. 

With pay-per-mile insurance, the industry may experience:

Fewer payouts. Drivers who sign up for mileage-based car insurance policies may also be more cognizant of their driving habits, speculates Andrew Hurst, insurance analyst at ValuePenguin. More-aware drivers should create safer roads for everyone — and potentially fewer payouts for insurance providers as a bonus. 

Reduction of fraudulent claims. Usage-based insurance could also lead to a reduction in fraud, according to the National Association of Insurance Commissioners (NAIC). Details that insurance companies collect from telematics devices can make it easier to estimate damages and review the actual facts (i.e., speed, time of incident, hard braking, etc.) when accidents take place. 

More insight into driving behaviors. Telematics tracking could also help an insurer identify individual drivers who should possibly pay higher premiums due to risk. Progressive reveals, for example, that it increases the premiums of around two in 10 drivers who sign up for its Snapshot program due to risky driving habits. However, Hurst said, “I'm not so sure this would be worthwhile in the long run, as customers could simply leave and go to an insurer that didn't do that.” 

Pay-per-mile coverage and the future

Thanks to a number of factors, traditional auto insurance rates are likely to rise in 2020. Higher repair costs on tech-heavy vehicles, more accidents from distracted drivers and natural disaster-induced claims are partially to blame.  

See also: How to Thrive in Auto Insurance

At the same time, consumer desire for lower premiums and usage-based options is on the rise. So, the insurance industry may need to find other ways to appeal to price-sensitive drivers while still controlling risk and overall costs.

NPS Scores Provide 3 Keys to Growth

Automation, analytics and the right ecosystem of partners can drive up customer satisfaction and let carriers grow in these chaotic times.

This year has not been kind to the insurance industry. According to the 2020 Allianz Global Insurance Outlook Report, premium income is expected to shrink by 3.8% globally, mostly due to the global COVID-19 pandemic. So, it’s all hands on deck to find ways to stem the losses, and one of the highest priorities is customer retention. Winning new customers is critical to recovering from the economic shocks caused by the virus, but these new customers will only make a difference if carriers can hold on to the customers they already have. 

Happy customers generally remain customers, and one of the best measures of customer satisfaction is the Net Promoter Score (NPS). It’s a simple measure that’s calculated by subtracting the percentage of customers who would not recommend your product or service to friends from the percentage of those who would. But don’t be fooled by its simplicity. It’s a powerful metric. 

In the Harvard Business Review article that introduced NPS to the world, the authors found that, “remarkably, this one simple statistic seemed to explain the relative growth rates across the entire [airline] industry; that is, no airline has found a way to increase growth without improving its ratio of promoters to detractors.” Further research showed that this finding applied across most industries. The takeaway is this: If carriers increase their NPS scores, they will also accelerate growth.

Of course, improving customer satisfaction is no small feat. But with the right technology and the right partners, insurers will see their NPS scores rise. Here are a few of the technologies and strategies we’ve used at my company, HONK Technologies, to achieve a high NPS scores for our carrier clients.

Automation:

Customers appreciate it when they receive fast service, and nothing speeds service like automation. The insurance industry has made a lot of progress on this front. According to the 2019 J.D. Power U.S. Auto Claims Satisfaction Study, customer satisfaction with the auto insurance claims process hit a record, as the amount of time that passed between filing a claim and the return of a vehicle was 12.9 days, half a day less than it took the year before. 

But there’s still room for improvement, particularly on the claims intake side. For example, instead of sending an adjuster to inspect the vehicle or other property and make a report, the carrier can have the customer send photographs of the damage electronically, perhaps using the carrier’s mobile app. The claim can then be audited by a remote adjuster or even artificial intelligence.

See also: 10 Tips For Using Net Promoter Score

It’s a good idea to undertake a full audit of the claims process and then identify where emerging technologies can automate tasks. It’s not a simple project, but if it’s conducted at regular intervals and management acts on recommendations, the long-term benefits to customer satisfaction and cost efficiency can be substantial.

Analytics, AI and machine learning:

It’s not always obvious what changes could improve customer satisfaction and increase NPS scores, especially because many of the obvious measures, such as speeding up claims processing, are already underway at many carriers. Carriers will need insights into customer behavior that aren’t evident even to an experienced insurance professional. Advanced analytics, artificial intelligence (AI) and machine learning (ML) can help provide these insights. 

But these technologies require a lot of data, so insurers should collect as much information about the customer experience as is ethical and legal. No data point is too small to collect. Everything from demographic information and customers' interactions with your website, to recordings of customer service calls and interactions with third-party service providers could be important. Just as the HBR author, Frederick Reichheld, was surprised to find that the simple NPS score correlated with business growth, you may be surprised to discover that something as mundane as the layout of the claims intake form could make an enormous difference to customer satisfaction.

The more information you gather, the more likely you are to uncover unexpected insights about your customers that can help you increase their satisfaction.

Partner evaluation:

These days, ecosystem services are just as important as claims for creating happy customers. According to a report from Bain, additional services beyond traditional insurance — such as assistance with buying or selling a vehicle, home security advice, healthy living consultations or roadside assistance — can make a big difference in customer loyalty. Bain found that carriers that offered three or more ecosystem services had an average NPS score that was more than 3.5 times higher than those that offered none.

After all, customers are likely to interact far more often with one of these services than they are to file a claim (unless they are very unlucky, indeed). These services are not nice-to-haves; they’re must-haves, and, if they’re poor quality, that will reflect on your brand. So as you work with ecosystem partners, require them to provide data on each customer interaction, and regularly evaluate their performance. Set up key performance indicators (KPIs) and, if they’re not being met, find a new partner. Your NPS score and future growth are at stake, after all.

See also: COVID, and How to Pivot to Innovation

It’s a difficult environment right now for insurance, but as anyone who has been in the business long enough knows, even the worst cycles eventually come to an end. Insurers that lay the groundwork now will be well-positioned to grow once the public health crisis finally passes and the economy recovers.


Corey Brundage

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Corey Brundage

Corey Brundage is the CEO of HONK Technologies. a next-generation, on-demand roadside assistance platform for connecting motorists, towing professionals and insurance carriers, fleet management companies and automotive OEMs for faster, more efficient service.

The New Shape of Innovation

Howard Schultz's conception of Starbucks as a "third place" provides an intriguing model for innovators, including in insurance.

When I interviewed Howard Schultz for a magazine cover in the late 1990s, I was struck that he didn't just talk about imagining Starbucks as a chain of upscale coffee houses like those that had charmed him on a trip to Italy as a young man. He talked about Starbucks as a "third place." We all have our homes and our offices, he said, but he thought we could all use a "third place" that was somehow positioned between home and office and that let us pursue business or leisure however we cared to.

That thought has stuck with me as I've pondered the forms that innovation can take, and the term resurfaced for me when I read a recent interview with Kevin Kelly, a co-founder of Wired magazine and one of the more intriguing thinkers on innovation. He, too, had heard Schultz use his "third place" term and was thinking that the idea of a "third" way could be applied in many areas today. For instance, he said, Uber drivers aren't really employees in the traditional sense, but they're also not non-employee contractors. They're a third thing -- and should be treated as something new in employment contracts, in insurance and in government regulations.

I think that "third" idea could be important for insurance in two ways. First, we need to be aware of how the industries we cover are changing, so we can be there to provide insurance for Uber drivers and other innovations as they occur. Second, we, too, can find new forms for doing business if we think beyond traditional boundaries like home and office, as Schultz did.

Although Kelly didn't get into the implications for insurance in this interview in Alta, he noted all sorts of anomalous "third" things that provide food for thought. Facebook isn't a publisher in any traditional sense, but it sure provides a lot of content -- it's just a new animal, whose users provide and even create most of what appears on the platform. "And free speech?" Kelly says. "When you say something on Twitter, is it public? Is it private? Neither; it’s a third thing."

He even raises more fundamental questions. "The idea of ownership is overrated," Kelly says. "In the world where you can have instant delivery of anything you want from this jukebox in the sky, this access is almost the same as owning [something]. In fact, many times it’s better than owning it. You don’t have to store it. You don’t have to catalog it, insure it, clean it. You don’t have to find it."

Transportation networking companies are certainly betting on this sort of approach to ownership, especially as driverless cars move into the mainstream. You won't have to own a car, but you'll always have a claim on one, because you'll subscribe to a service and be able to summon a ride any time you want to go somewhere.

Plenty of other goods and services could move into that sort of in-between world, where you don't own something but you have such clear access to it that you don't really not own it, either. My daughters have occasionally rented formal gowns for events (back when people were hosting events) from an online company that provided an easy way to ship a gown back the next day. While Amazon and other online retailers currently focus on distributing goods, there's no reason they couldn't pick the goods up again after they've been used briefly. Rather than buying a bunch of equipment and leaving it in the garage to gather cobwebs, why not just rent the tools that you need for a weekend project and have them shipped to you, then return them when you're done? After all, as the classic Harvard Business School line puts it: Consumers don't want to buy a quarter-inch drill; they just want a quarter-inch hole.

Kelly says the thinking about the future of work needs to be reframed in a "third" way, too. Rather than wonder which jobs will be done by humans and which by machines, he says, we should think about "centaurs" -- in this case, part human and part machine, rather than part human and part horse. In other words, don't imagine having some work done by machines and some work done by humans. Think of ways that human/machine combos can do work most efficiently and effectively. The contribution by humans and machines in each job will vary a lot, but all will involve some such combination.

"What I’m suggesting," Kelly says, "is that we’re in this era now where we have a whole bunch of things that are the third thing, and we’re still trying to [look at] them in an outdated, binary way."

As the world adopts pieces of this "third" approach, the insurance industry will find huge opportunities in covering the risk for the gig workers at places like Uber, for those who now share assets rather than own them outright, for companies that provide products and services in new forms, etc. The relationship will be symbiotic: Unless insurance can come up with creative ways to cover new risks, these new forms of innovation in business will proceed haltingly, if at all.

Innovators in insurance might benefit from conceptualizing their own work on new products and services as finding a "third" way.

I've covered many of my ideas on the topic in this space over the months and years. For instance, I see term life insurance as potentially being included in a mortgage, to make sure the loan will be paid off even if the mortgagee dies. Such a policy would be cheap because there would be almost no sales cost, and underwriting would be almost automatic, based on the demographics of the person taking out the loan. The amount of coverage could even decline over the years as the mortgage is paid down. Life insurance could also combine more with wealth management, breaking down traditional silos. And why couldn't life and health insurance feed into each other? After all, they're both designed to give you a long, healthy life. I see the data that is currently used to underwrite risk increasingly being used to decrease it; if you see a problem in a company's cyber security, why not help the company address the problem, rather than just jack up the premium? And so on.

There are loads of clever people out there who understand the problems and potential solutions far better than I do. Here's hoping they find a way, "third" or otherwise. Maybe a cup of coffee would help, even if you can't get to your local Starbucks in these pandemic times.

Stay safe.

Paul

P.S. In case you're wondering, Schultz uses a French press to make his coffee. He also must have quite the constitution. It seemed to be a point of honor that he'd welcome each guest with a cup of coffee, and my meeting with him was mid-afternoon, so the pot he made for us in his office must have been at least his sixth or seventh of the day. Yet, while I would have been bouncing off the walls on the first such day and then sleep-deprived for the rest of my life, Schultz was as serene as could be.

P.P.S. Here are the six articles I'd like to highlight from the past week:

Transforming the Claims Space

Paying claims needs to be the default, with AI and analytics ensuring that adjusters spend their time more valuably and have more interesting work.

The Evolution of Telematics Programs

Interest in pay-as-you-drive or pay-per-mile policies has increased in 2020 as more Americans are working from home.

How AI Powers Customer Contacts

Existing and prospective customers now expect prompt, appropriate answers via the channel of their choice, or they may look to your competitors.

Accelerating Industry’s Digital Scenarios

Scenarios that previously seemed like nice-to-haves have suddenly escalated to urgent, and futuristic ideas may become critical.

Essential Steps for Cyber Insurance

Corporate IT, legal, risk and business leaders must collaborate on three steps before updating or acquiring new cyber coverage.

Innovation Comes to Risk Engineering

"From now on, nothing in risk engineering will ever be constant BUT change. If you can’t get used to constant change, you'd better leave.”


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.

Innovation Comes to Risk Engineering

"From now on, nothing in risk engineering will ever be constant BUT change. If you can’t get used to constant change, you'd better leave.”

Ralph Tiede is married with four children and hails from Boston. Prior to retiring in October 2019, he spent 40 years in risk engineering within commercial property insurance. We asked him to describe his career and the industry changes he has experienced, first-hand. Here is what he had to say:

Tell me about your family and your career trajectory. 

I attended State University of New York, and my first job out of school was working for the State Health Department in NYC. I was an environmental engineer inspecting medical facilities and performed field surveys on hospitals and long-term care homes.

A company back then called Improved Risk Mutual (IRM), had a fire protection training program. I didn’t know anything about insurance at the time. The starting salary was $10,500, but I had a company car, which was pretty great. I went to train there and did three weeks of intensive training lab in White Plains, NY. I shadowed experienced engineers and then went back and did three more weeks of intensive training before getting my first assignments. From then on, we were on our own. IRM had approximately 100 field engineers and a total of about 200 employees. All the field engineers worked from home before virtual or remote work was a thing. There were no computers back then or cell phones -- only “snail” mail. They gave me a manual typewriter and a package of carbon paper, and I moved to Buffalo to begin work. 

Can you describe for me, some of the technological and industry changes that took place?

Yes. From there, I went to work for Wausau Insurance. At this point, we were still using typewriters. I made a smart choice because I invested in a $100 Smith Corona electric typewriter to gain a competitive edge. It had an automatic erase feature that worked much faster than whiteout. It was probably one of the reasons I got promoted!

Around this time, electronic mail had begun making its way into the insurance industry. Sysm was the monitor we used, but I wouldn’t call it a computer. It had a screen and a keyboard to send emails, which was groundbreaking! I could get assignments sent to me from Philadelphia and other places in real time rather than in the mail, which saved days! Still, I couldn’t type up reports on it. The other drawback was that, from then on, we needed to track our time electronically vs. manually, which no one liked. 

Eventually, I became the manager for the Northeast territory from Maine down to Florida. I was managing seven or eight engineers. We were still writing reports ourselves or dictating them to one of the 20 young ladies who worked in the steno pool and typed the reports for us. In the late '80s, the computer was introduced. That’s when corporate began expecting us to begin typing reports on the computer. The older engineers fought back because they weren’t used to the technology or typing up their own reports. Many engineers retired at that time because they didn’t want to learn how to type. 

Corporate explained its rationale for using the computers to the engineers. “Now you only have to type up a report once,” they said, “so when you return to your client’s plant in a year’s time, you still have the report you saved on your computer from a year ago. That means you only need to update the document rather than re-type it during an account review.”

So, would you describe the introduction of computers as the first digital transformation you witnessed in your field?

Yes. After 50 years of insurance being stagnant as an industry, the guidelines for underwriting began to change almost annually. New hazards and concerns would come into play, new types of plastics had been developed and new buildings requiring more storage required us to rewrite the reports every year. The result was that the introduction of computers didn’t really save us time! 

As you know with Orbiseed’s customer discovery research, risk engineers are still trying to reduce the time spent reading and writing reports. We’ve had this problem since the '70s. The industry has moved ahead so fast, and our clients’ companies have changed so drastically that we’re required to gather more data than ever before. Fire hazards have changed, and so have the nationally recognized standards. The industry has new models to predict earthquakes, hail and floods. The majority of the modelers’ data is delivered by the engineers. The modeling people, the underwriters and the actuaries all want data from the engineers.

So, the job is basically the same, but the types of data we collect have exploded. We need new ways to aggregate and synthesize it faster to remain competitive.

When computers were introduced at Wausau, they caused an uproar. The transformation was introduced to over 6,000 employees in a short time. HR explained to the risk engineers that this was the way of the future. “We’ve been stagnant for 50 years in the industry,” they said. “But from now on nothing will ever be constant but change. If you can’t get used to constant change, you'd better leave.”

Through a series of events, Wausau was acquired by Liberty Mutual. It was while I was at Liberty that I was asked to interview for the role of VP, risk engineering. I didn’t really want the job because I didn’t want to uproot my family and relocate at this stage in my career. I reluctantly went through the interview process without ever thinking they would offer me the position, but they made me an offer. I remember my wife saying, “You’ve complained so much about the way this company is run. If you think you can make changes, then you should take the job. If you don’t go for it, I never want to hear you complain again!”

I spent the next 15 years trying to bring harmony during a massive company merge. My greatest success was helping to rewrite the standards and guidelines for engineering and underwriting to meet the new and emerging hazards we were faced with at that time. 

What were the major key performance indicators (KPIs) when you started vs. now for risk engineers in insurance? 

Since the '70s and my time at IRM, we would evaluate success based on how long it would take a field engineer or an account engineer to complete a task. But here was one of the problems: When I was a junior engineer, I would cover people’s vacations. The resident engineer would report taking six hours to complete a reinspection when I would complete it in two. Management picked up on this. The resident engineers gave me a hard time. They called me to say, “We don’t how care how long it takes you, you need to account for a minimum of six hours on a reinspection if that’s what was previously recorded.” The account engineers needed to account for 40 hours of account or project work per week, so they were always trying to find creative ways to meet their numbers. 

Management told me I needed to work on our report writing and analysis times to help reflect more accurate hours. However, the field engineers ended up moving their hours over from the report writing bucket to other areas such as the travel time bucket! That’s when we changed from tracking hours to measuring productivity. For example, we would look at how many inspections were made and, based on the scale of the building size and the complexity of the facility being surveyed, we would assess how many field visits they could complete per week.

Account engineers work in a grey world. They need to be comfortable with ambiguity and great in front of the clients. It’s a challenging role. We would measure the account engineer’s performance based on the number of account reviews with the clients they did and how many broker visits they made. We would also look at the number of risk recommendations they sold to clients. Eventually, we took away the account reviews as a KPI, because those will always be there. That’s where AI comes in; we can do account reviews a lot quicker now. We can be measured on the metrics that really count. That’s where I see the big interest is going to be with AI. Every company has the same problem. The engineers are inundated with paperwork and data.

Despite the challenges, I always highly encourage young professionals to pursue the role of field engineer and account engineer. It’s like waking up every day and going on a field trip that 99% of the world will never get to see. You’re like a kid in school exploring aircraft manufacturers, mining facilities, paper manufacturers, even prisons. You have the freedom to go in and explore every inch of the place and see how people get their job done. If you’ve ever seen the TV show, “How Things are Made” -- it’s like that. You get to see how things are made, first-hand. You also realize how tough some people have it. For example, with some manufacturing plants people might get paid by the article they sew. That’s when you realize you have a pretty great life. I’ve seen people working long hours in five-story buildings at 95-degree heat. 

How do you think the future of technology is going to change the way risk engineering is done? 

The world is changing so fast. Insurance companies are trying to build the technologies internally, but they’re so slow at doing it. By the time the carrier has finished creating a product, it’s already obsolete. There’s a lot of resources being put toward improving underwriting efficiencies, but risk engineering is usually last on the priority list. We can perform virtual surveys and aerial mapping, but that still doesn’t solve the problem of analyzing the data. Now we can speed up the process of creating risk surveys and the time it takes to verify them, which is a landmark innovation.

Why do you think risk engineering is last on the list for change?

The way senior managers look at it, underwriting holds the key to success. Most senior managers come from the underwriting or the financial world. Risk engineering is thought of as a data source rather than a profit center or helping to minimize losses and reduce costs. Managers think it’s difficult to track the efforts of evaluating and analyzing risk, which is true. And claims are costly, so insurance companies focus a lot of their IT efforts and resources on claims.

That being said, clients are becoming a lot savvier and more intelligent about managing their own risk. Years ago, you’d have a financial person handling the insurance of a multinational corporation. Now you have an internal risk manager (yes, it’s an actual career path!), where they manage the corporation’s risk internally. They’re more involved in the terms and conditions, ensuring that the multinational gets the best insurance coverage. These internal risk managers understand they need to build loyalty with insurance companies, and, in turn, they’re looking for a long-term relationship – a strategic partner, if you will - and cost savings in return for good compliance. It takes corporations a lot of money, time and resources to change insurance companies. People are looking for more cost saving recommendations and relationships with their carrier to help minimize losses and reduce costs. Brokers are encouraging clients to convince carriers of their business continuity plans and show compliance, as well as a commitment to loss prevention and safety. They need to prove to insurance companies they have a stake in the game, because it's a lot harder to get coverage today than ever before.

See also: 3-Step Framework to Manage COVID Risk

What are your concerns for the future of risk engineering?

My biggest concern is the lack of knowledge transfer with the younger generations of risk engineers coming in. IRM had a great training program and Industrial Risk Insurers (IRI) – one of the biggest carriers  – used to trained hundreds of engineers per year. They were the reinsurance pool for the stock companies. They had an extensive training program and did all the underwriting and engineering for their member companies. Sadly, the company experienced a series of unpredicted large and costly losses and was eventually dissolved. Kemper HPR went out of business also. AIG started building and training their own engineers a few years back, but now they've pretty much reduced their efforts in this area. It’s well known in the industry that 25% or more of risk engineers are retiring within the next five years. All of these companies used to have their own fire protection training labs. Now there are hardly any labs left. 

Chubb has a good training program, but not a lot of companies are providing solid training for up-and-coming engineers. I think it’s really a shame because it’s not the kind of course you can go find in a college. You can get a certificate or degree in fire protection but not in property insurance. You have to learn that side of the business and shadow the experts who have come before you. 

A lot of engineers used to move into underwriting, and that’s really how it should be. But now you have people coming into underwriting from finance and business schools. They don’t understand the risk engineering side and rely 100% on an account engineer’s assessment. That’s a real risk. 

If you had 10 more years of runway as a VP of risk engineering, what changes would you try to implement?

Well, first of all, I think I’d become an account engineer again. That was the most enjoyable time of my career! While it was exciting as a VP to build the risk engineering department, I was responsible for a lot of administration, too, like staffing and budgeting. I used to love when the account engineers or underwriters would come to me with an engineering problem. If I were to be VP of risk engineering again, it would have to be focusing on improving technology to speed up the reporting processes for risk engineers so they can focus on high-knowledge work and being client-facing. That and creating a robust training program for new people.

Ralph is a senior adviser on the board at Orbiseed. Views are his own.


Andrew Anzenberger

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Andrew Anzenberger

Andrew Anzenberger is a senior product manager at Orbiseed, whose AI platform standardizes and summarizes commercial property data for risk engineers to reduce operating costs, improve win rates and manage risk better.

How to Avoid Falling for Groupthink

"In our world, parallel lines do not meet, and you can't turn an orange wrong side out." --Joseph Krutch

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"In our world, parallel lines do not meet, and you can't turn an orange wrong side out." --Joseph Krutch

Yet, I see carrier management and agency owners regularly default to wishful thinking in their decision making. In other words, while parallel lines do not meet, these specific people believe the lines should meet. They make decisions on that assumption. Reality, though, does not change. Parallel lines can never meet no matter how much a person wishes the lines did meet. To pretend otherwise and make decisions in this alternative reality can only lead to problems if not disaster. And just because disaster does not happen immediately should not be taken as a sign that it won't.

A famous company once had an executive promoting how he had made parallel lines meet. Because most people did not look too closely and the accounting was opaque, what people did not notice was that a shell con game was being played (not literally a con game). While the line-bending benchmarks were being touted, the results being reported were mostly due to an entirely new part of the business that did not have a true financial reckoning until the credit crisis. Even after that, it took about 10 more years for people to admit they'd been seeing a mirage -- when financial promises were finally and completely broken.

Always remember: Parallel lines never meet. And you can work to see the lines as they are rather than as you wish them to be.

An example or two might help. Take two carriers of equal size. One has an issue causing expenses to be $200 million more than the competitor's. All else being equal, the first carrier's loss ratio needs to be the equivalent of $200 million better. Yet the management of that carrier has proclaimed that its loss ratio only needs to be the same because there is no way its expense ratio is higher than average. So, the carrier loses money the next year, and the next, and the next, and the next. Parallel lines are straight, not warped. The carrier's thinking is warped (true story).

Or, there are agency owners who think that unmotivated producers will become motivated on their own initiative. That is warped. If the producers had initiative, they would already be motivated (true story, multiplied by thousands).

Yet humans are pre-programmed to believe what they want to believe, reality be damned. St. Augustine wrote something to the effect of, "Do not plan long journeys [pilgrimages], (to help you believe more in something like an aspect of religion in this realm) because whatever you believe in you have already seen." I have read one theory that the strong desire of humans to believe in whatever they want to believe is for survival. If they did not believe in the unreal, they might give up hope. That makes some sense to me, so the challenge is to know when to believe in reality and to be disciplined enough to recognize the "when" to believe in reality regardless of how sour that reality may be.

See also: Another Reason for Insurers to Embrace AI

The solution, one of the few solutions actually, is to have someone close to you who will always be brutally straight with you.

Another solution is to be away from your kingdom, your organization, when you seek advice. A human's ability to accept reality often increases the farther one is from home.

Another solution for larger organizations is to always have outsiders on the board and give them extra influence or voice. An entity will begin believing in alternate realities even more rigidly than individuals. This is what happens with groupthink. An example of carrier groupthink is everyone at a carrier thinking it has great claims service even though the agents, based on their customers' experience, almost universally say differently (again, true story).

Reality really can suck. No bones about that. But reality usually wins, so if you want to be a winner, take steps to understand and accept reality on a vigorous basis.