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SMBs' Insurance Needs for 2024

Small businesses remain optimistic but see growing challenges and are painfully aware of their exposures. 

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Small businesses are the backbone of our economy, driving innovation, job creation and economic growth. But growing a small business comes with uncertainties and the constant need for adaptation. These variables don't just affect a business' bottom line; they influence how businesses think about risk mitigation and the insurance policies they need to future-proof what they've worked so hard to build.

At Counterpart, we recently took the pulse of over 300 small business owners and CEOs across the U.S to get a snapshot of what is top of mind as they look toward 2024. The results indicate that the resilience and agility of small businesses continues to be tested by an increasingly volatile operating environment.

Small Businesses Remain Optimistic Despite Challenges

2023 has been marked by sustained high inflation, lingering supply chain snarls and a difficult hiring environment. Yet the determination of American entrepreneurs prevails; small businesses remain optimistic about the economic outlook and the future of their businesses. Roughly 45% of CEOs and business owners believe the economy has improved in the past year, and over 53% report they're optimistic about the future of their businesses.

Despite this optimism, many of the issues that have cast a shadow over the post-pandemic years continue to cause headaches. Inflation is top of the list, followed by supply chain disruption. While inflation may be largely out of the control of business leaders, steps can be taken to minimize its impact. These could include purchasing in bulk, exploring cheaper lines of credit or, if necessary, increasing prices.

See also: Building an Effective Risk Culture

Right-sizing the Workforce

Our survey also revealed that CEOs and business owners are increasingly looking to right-size their workforce. Human resource issues are among the top concerns for business leaders as they work to ensure they have the right workers with the right skills in every role. Recruiting and employee retention were the third and fourth most frequently cited challenges.

As business leaders restructure and rebuild their workforces, we can expect layoffs for the foreseeable future, with four in 10 owners and CEOs indicating they anticipate layoffs. This outlook will create a tricky landscape to navigate; it's important that company leaders understand their legal obligations when it comes to layoffs and terminations. Employee rights and termination laws vary by state, and new regulations are often introduced. Companies without dedicated HR teams should consult with a legal expert before conducting layoffs or terminating employees.

Understanding Exposures and Managing Risks

In the aftermath of the pandemic, and as the corporate and regulatory landscape continues to become more complex, small businesses are very conscious of their exposures. Almost all CEOs and business owners say they understand their exposures, and a quarter have significantly expanded their business insurance coverage over the last year.

Even with this high degree of confidence in understanding risks, it's important that small business leaders consult experts, to make sure their businesses have adequate insurance coverage. Insurance agents and insurance carriers are key stakeholders in helping small businesses better understand their weaknesses and potential exposures. They can offer important guidance and custom risk assessments; businesses can understand their unique operating risks and work with insurance experts to develop preventative strategies and practices.

See also: Biggest Business Trends for 2024

Increase in Insurance Costs and Coverage

Over 65% of CEOs and business owners say business challenges are continuing to increase, which will have a knock-on impact on insurance coverage. As insurance costs continue to rise, small business leaders can do their part to drive down their premiums by reducing risks. Companies should implement employee training programs for common risks like sexual harassment, workplace safety and cyber security. These actions will help small businesses reduce their risk of claims and can help lower overall insurance costs. Businesses can create safer operating environments with fewer exposures.

Small businesses navigate an ever-evolving landscape, with unexpected hurdles around every corner. Anticipating challenges, understanding risks and mitigating potential threats can help clear the path to allow leaders to grow their business with confidence.


Tanner Hackett

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Tanner Hackett

Tanner Hackett founded Counterpart to help small businesses navigate the ever-changing insurance landscape with innovative tools and services and leading coverage.

He has deep expertise in scaling large, data-centric businesses after co-founding two successful ventures, including the Malaysian arm of Lazada, which quickly became the largest e-commerce company in Southeast Asia and was purchased by Alibaba for $3.5 billion in 2018. He subsequently co-founded Button, which has become the world's largest mobile-first affiliate platform, partnering with global brands such as Amazon, Walmart, Booking.com and Uber.

What Tech Should Life Carriers Prioritize?

Despite a legacy of a confusing array of systems, firms need to standardize on a single, cloud-based technology platform. 

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KEY TAKEAWAY:

--Companies are losing out on so much when every product relies on a different tech stack -- a different billing system, different contracts, different vendors and so on. Consolidation can save money. It can smooth the experience for customers who buy more than one product. And it can help organizations get more out of their customer relationships. If a customer is purchasing more than one kind of life insurance, it is easier to track their data if all of your products are using the same tech stack.

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We are at an inflection point in the life insurance industry, and now is the time for carriers to transform their technology and make their products more accessible to everyone. It can be difficult for large organizations to make meaningful changes to their platforms, but the short- and long-term benefits can be substantial.

Life insurance carriers want answers to questions like, What more can we learn about our business? How have the market and field response to our product lines changed? But getting answers to these questions can be difficult on legacy or fragmented systems where the data is everywhere and often unusable. 

The importance of modern cloud-native technology

Most life insurance companies sell more than one product, and diversified revenue is great, but companies are losing out on so much when every product relies on a different tech stack.

Think of it like smartphone apps. There are easily eight apps you want on your phone. But you are not going to go out and buy a smartphone for each app. Yet, that is how many enterprises had been forced to set up in the initial days of legacy systems. If they have eight products, each one has a different billing system, different contracts, different vendors and so on.

Not to mention, carriers are requiring customers to interface with different platforms every time they want to consider a new product. It is also not unusual for customers to have to start from scratch when trying to buy a second or third product from a carrier, even though most of the questions are redundant. The fragmentation creates unnecessary work for everyone and a bad user experience for both customer and distributors.

There are many incentives for life insurance companies to standardize onto one technology platform. Not only can consolidation save money, it can help organizations get more out of their customer relationships. If a customer is purchasing more than one kind of life insurance, it is easier to track their data if all of your products are using the same tech stack. 

See also: How to Find (and Keep) Tech Talent

The power of cloud-native technology

Upgrading technology can be a huge undertaking, and high levels of thoughtfulness are warranted. After all, making such a big change can come with some risk. In 2023, you want your software to be cloud-native. There is a considerable difference between cloud-native software versus just hosting a legacy or monolithic system in the cloud.

Cloud-native means the code is written and orchestrated in smaller containers. While this does not necessarily mean cloud-native technology is immune to bugs, it does mean that finding and fixing bugs is often much faster and easier, and not to mention more easily restricted to less severe types. With old systems, it can take days to find and repair a glitch — and time is literal money, with companies easily losing millions when they struggle with outdated systems.

FOMU: Fear of messing up

If the business benefits of upgrading your technology are clear, what could be holding people back? Many times, FOMU: Fear Of Messing Up. Change can often be perceived as more risk than opportunity. There may be concerns around distributor and client adoption. There may be concerns about internal pushback or a lack of resources. 

When FOMU takes over, the easiest decision is always to do nothing, even if the way things currently “work” is not ideal in many ways. The effects of FOMU may sometimes even override potential improvements in topline revenue and bottom-line cost savings that would come from eliminating older systems and technical debt. 

This is when another powerful factor may come into play: competition.

Many life, health and annuity product lines operate in extremely competitive markets, and when early adopters break the norm to offer a substantially better experience than traditional peers, there often are material movements in market share and operational efficiency, which in turn become the catalyst for change.

Ultimately, the best experience in combination with a fair product setup almost always wins, both within and outside life insurance. It is an exciting time for many companies in the space contributing to this effort, making innovative options available across the industry.

Why AI Can Help SMBs' Marketing

60% of small businesses, including insurance agencies, that use AI or automation say their marketing is working more efficiently.

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Small businesses (SMBs) are a busy bunch. On any given day, they might be fulfilling orders, engaging with customers in-person, managing staff, doing their books — plus dozens of other tasks. Most would relish an opportunity to gain back an extra hour, or save some money.

Luckily, those goals (and others) are attainable thanks to artificial intelligence (AI) and marketing automation. These technologies can help small businesses, including many insurance agencies, work more efficiently, drive more sales and improve the ways they are marketing themselves – without creating more of a headache or a time suck.

We recently published a report at Constant Contact called, Small Business Now: An AI Awakening, that outlines how SMBs like insurance agencies are thinking about AI and automation, and some of the results that early adopters are seeing. With insights from nearly 500 small businesses across the U.S., the study reveals how these technologies can enhance marketing effectiveness and help SMBs save time and money. 

Here are the 10 stats:

  1. Challenge Accepted: 60% of SMBs say their biggest challenge is attracting new customers, while 39% say it’s marketing to their target audience.
  2. Piqued Interest: 74% are interested in using AI or automation in their business, and 55% reported that their interest in using these technologies grew in the first half of 2023.
  3. Off to the Races: 26% are already using AI or automation, and the top use cases are social media (52%), generative content creation (44%) and email marketing (41%).
  4. Proven Success: 91% of the small businesses polled say AI has helped make their businesses more successful.
  5. Reaping the Benefits: 60% of small businesses that currently use AI or automation in their marketing say they have saved time and are working more efficiently.
  6. First Step, Social Media: SMBs say the easiest places to start leveraging AI technology are social media, content creation and analytics.
  7. Financial Gains: 28% of SMBs expect AI and automation to save them at least $5,000 in the next year.
  8. Increasing Efficiency: 33% of small businesses estimate they have saved more than 40 minutes per week on marketing by using AI or automation.
  9. Top Concern: 44% of small businesses noted data security as their top hesitation about using AI.
  10. Value Recognition: The more SMBs use AI, the more they value it. 70% of SMBs would be willing to pay more to access AI and automation. 

See also: To LRO and Beyond: Using Generative AI to Get the Complete Picture for Businesses that Lease Space

So, what do all these stats mean? I’m glad you asked.

AI is here to stay. The small businesses that are currently using tools powered by AI overwhelmingly agree that it is making their businesses more successful. They are working more efficiently, saving money, improving customer experiences and growing quicker.

So, if you’re an SMB that is either starved for more time in your week, or you want to improve the way you engage with your customers without adding extra marketing work to your plate, don’t write off AI as a passing trend. Give it a try, and you might be surprised about the results you see.


Dave Charest

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Dave Charest

Dave Charest is the director of small business success for Constant Contact, a digital marketing and automation platform that has helped millions of small businesses and nonprofits become better marketers.

How Generative AI Changes LRO

Lessor's Risk Only (LRO) insurance carriers are benefiting in four key ways from generative AI.

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Everyone involved in selling, buying and using insurance is experiencing a challenging market. Catastrophic weather, inflation and economic conditions have made it difficult for insurers to pay claims and maintain a profit. Some have pulled out of markets, others have announced they’re not taking on new business and many are raising rates. 

There are new risks everywhere, and Lessor’s Risk Only (LRO) insurance, which provides coverage to building owners from claims from tenants, is no different. It can be challenging – for both businesses and insurers – to understand various risks associated with rental office space. Is there a restaurant renting space on the ground floor of the building? Does the foot traffic from a medical office or store raise issues? Is there a manufacturing firm on the premises?

Insurers can’t write insurance for a business if they don’t have a complete view of the risks associated with a commercial space. In fact, for businesses looking to acquire LRO coverage, a policy could end up being more expensive than it needs to be if an insurer is working from limited information. 

Enter generative AI technology. The technology offers real-time information insurers need to fully understand businesses’ risk profiles. The data not only delivers information on occupant risk factors but can be used to streamline other underwriting processes and identify business opportunities. 

Here are four ways generative AI enables insurers to improve LRO underwriting to grow business: 

1. Better insights and increased accuracy: Many insurers say they don’t always have a good understanding of the businesses occupying a building. For instance, the underwriters might be working from historical data that isn’t always up to date. Or the client might only have limited knowledge of the renters in the building and provide the agent incomplete information. 

Using generative AI and large language model technologies, insurers can get real-time insights into tenant occupancy risks. These technologies use publicly available, structured and unstructured data so insurers are working from the most current information.

Generative AI also enables insurers to continue to get insights on a property during the entire policy term. Renting is fluid and can often have significant turnover. Businesses that occupied a space at the beginning of a policy might change over the course of the coverage period. Insurers can now monitor exposures and decide if the policy needs to be updated based on new risks. 

2. Faster decisions on risks: Spending time researching a business or property to understand its risk profile is not only slow but also wasted time if the entity ends up outside of the insurer’s risk appetite. Generative AI can enable insurance organizations to pre-qualify a prospect’s risk profile in a matter of seconds, with just a business name and address. The insurer can then quickly determine next steps.

See also: Supply Chain 4.0: The Digital Transformation

3. Prospecting opportunities: When insurers use LRO to underwrite a building, they are presented with a list of current occupants. This could identify other potential prospects within that location. For example, an insurer that targets takeout restaurants might be looking at the risk associated with a takeout pizza restaurant in a strip mall. They might learn from the list of occupants that the strip mall also contains a Chinese takeout restaurant and a Mexican takeout restaurant that they currently do not cover. They can pass this information over to their sales team as a new business lead. Additionally, understanding the business exposures of nearby businesses can help insurers identify potential risks and opportunities in their existing portfolio.

4. Beyond LRO: Insights from generative AI technology can be used across commercial lines business. Better understanding of the risks associated with surrounding businesses enables insurers to more accurately identify if they want to write a particular risk in another line of business. For example, an insurer was evaluating a property for LRO risk and determined that a business in the property was outside its appetite. However, the AI solution identified that the insurer was currently writing commercial policies for three other businesses located in that property. The insurer was able to make adjustments and remove those unwanted risks from their book of business, thereby optimizing their overall portfolio and reducing exposure to potential losses. This highlights the importance of not only identifying new business opportunities but also managing and mitigating risks associated with existing policies based on insights generated by AI technology.

With more current and accurate information, insurers are better able to assess the risks. This means they have more confidence in writing policies and businesses are paying premiums that match their actual risk exposure. With generative AI technologies, insurers can overcome hurdles when underwriting LRO coverage and further use the information to grow their entire commercial book of business.


Chris Schrenk

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Chris Schrenk

Chris Schrenk is chief underwriting officer at NeuralMetrics, a provider of real-time, transparent commercial lines data intelligence for insurance classification and underwriting.

He has extensive experience in commercial insurance and collaborating with leading carriers. His specialization lies in identifying and implementing process improvements that drive automation, enhance underwriting efficiency, improve the accuracy and reduce errors.

'Data as a Product' Strategy

Thinking about your data as a product generates new revenue streams while removing the constraints of data silos. 

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In today’s dynamic risk environment and proliferating data in every walk of life, insurers are struggling to harness the data effectively. To address this data deluge and drive business value, a mindset of thinking of data as a product is a necessity.

This approach requires well-designed strategy to deliver data that consumers want. 

For some companies, the key is internal democratization of data to drive synergy and reduce the inefficiencies that data silos cause. For others, the key is to establish data stewardship and accountability for regulatory and compliance needs and to build fit-for-purpose data products (e.g., pre-fill for underwriters, risk scoring and location Intelligence).

Where to begin?

Data products are built incrementally as a minimum viable product (MVP) that is accessible via application programming interface (API), continually enriched with domain specific data and intelligence, version-controlled and governed in a federated manner. For consumers, the data product shields them from the complexity of identifying, acquiring and processing domain-driven data sources into insights for decision making.

For example, a prospective home buyer has access to data on estimated property value based on criteria such as location, square footage and property type. But many first-time home buyers face financial surprises post-purchase. Auto and home insurance premiums may increase. So may replacement costs when they need repairs. Meanwhile, homeowners may find travel times increasing because of traffic congestion.

Insurers could harness their wealth of data and expose it to customers as a data product for “improving livability.”

See also: Achieving a 'Logical Data Fabric'

How to pursue this domain-driven journey?

To pursue this journey, insurers need to organize data by domains (location, policy, claims etc.) and align their MVP to a defined purpose (e.g., improving livability).  

  • Location is the critical data domain. It breaks down into granular data attributes such as basic information, primary modifiers, secondary modifiers, spatial and hazards. Completeness is a key. 
  • The domain must be mastered via machine-learning-based models for de-duplication, anomalies etc. Enriching the data with external sources enables accuracy and trustworthiness and provides a holistic view of location and risk characteristics.
  • Location intelligence must be based on claims and additional data sets such as aerial imagery, weather, crime and hail and wind risks.
  • Federated governance should be enabled through version controls, domain ownership and cataloguing to allow discovery through meta-data.
  • The data and insights should be published through an API interface. Varied insights can be generated based on the context, such as replacement costs, safety score and protection gaps.
  • Agent apps should leverage large language models and and agent-based modeling framework to enable knowledge management and reasoning capabilities for decision making.

To sustain and make a difference

Learn from failure – Many enterprises embark on modernization journeys as a technology initiative, resulting in limited business adoption and value. The strategy must revolve around business value and adopt an iterative approach, focusing on democratizing value through product features and consumption archetypes.

A data-driven culture focuses on multi-disciplinary data product teams with business stakeholders, domain-driven use cases, a data platform to deliver and democratize access to these data products. The work must be governed and measured by key performance indicators (KPIs) and incorporate consumer feedback.


Prathap Gokul

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Prathap Gokul

Prathap Gokul is head of insurance data and analytics with the data and analytics group in TCS’s banking, financial services and insurance (BFSI) business unit.

He has over 25 years of industry experience in commercial and personal insurance, life and retirement, and corporate functions.

Embedded Insurance Is Made for SMBs

The proliferation of vertical SaaS applications for small and medium-sized firms creates openings for embedded insurance.

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KEY TAKEAWAYS:

--While SMBs have long been seen as a growth opportunity for insurers, the insurance industry simply is not built to distribute products that meet both the needs of SMBs and the objectives of underwriters. Servicing SMB accounts consumes substantial amounts of time for agents and brokers, while the data that underwriters require to make informed pricing decisions on such accounts is lacking.

--But tens of thousands of cloud-based solutions have been developed for specific industries, and insurers can embed offerings in those platforms.

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Embedded insurance is one of the fastest-growing digital distribution methods in property and casualty insurance and is forecast to reach more than $720 billion in gross written premium worldwide by 2030. There is a fundamental reason for this tremendous growth. The embedded channel is an innovative way to reach a segment that has been notoriously challenging to serve through traditional distribution.

Small and medium-size businesses (SMBs) have long been considered a high-growth market for the insurance industry, not only for the sheer number of such enterprises but also because of the diversity of industries and risk profiles that SMBs represent. Why has profitable growth in this segment been elusive? A big part of the challenge is structural. The insurance industry simply is not built to distribute products that meet both the needs of SMBs and the objectives of underwriters. Servicing SMB accounts consumes substantial amounts of time for agents and brokers, while the data that underwriters require to make informed pricing decisions on such accounts is lacking.

A “one size fits all” approach for SMBs inevitably results in greater risk and missed opportunities for the insurance industry: 40% of SMBs in the U.S. go without insurance, and 75% are materially underinsured. That means many businesses are exposed to loss and financial hardship they otherwise can mitigate, with the proper protection.

Vertical industry environment

A major step in the digital transformation of business operations is the emergence of vertical software-as-a-service (SaaS) platforms. These cloud solutions are industry-specific and designed to meet the service needs of an industry type. With tens of thousands of vertical SaaS platforms, SMBs form a large portion of their user base.

Examples of successful vertical SaaS platforms are: Toast, a point-of-sale and workflow platform designed for restaurants and the food and beverage industry; Procore, a construction management software; and Service Titan, a business platform for commercial service professionals such as plumbers and electricians. In addition, a wide variety of new vertical SaaS platforms is developing, serving industries from architecture to travel, to scrapyards and waste management, according to Bain Capital Ventures.

These platforms serving vertical industries provide an environment that supports the distribution of multiple kinds of embedded services, from digital payments to finance and, naturally, insurance. The nature of vertical SaaS platforms makes integrating third-party products and services an attractive way to enhance the platform’s customer experience – without having to become expert in providing those products and services. As a result, vertical SaaS platforms working with the right embedded partners do not need to develop their own insurance infrastructure to offer compelling coverage to their customers.

See also: 9 Keys for Embedded Insurance

Advantages of embedded insurance

Embedded insurance is a data-led, seamless integration of insurance products. This solution has numerous advantages, including:

  • Enhanced customer service. By embedding insurance in a vertical platform, users gain the convenience of accessing coverage options and can buy policies within the application or platform.
  • Expanded revenue streams. Vertical SaaS platform providers can establish new revenue streams through fees on insurance policies sold through their platforms.
  • Risk mitigation. Insurance coverage helps platform users manage risks and protect their businesses. 
  • Differentiation and competitive advantage. SaaS platforms can stand out from competitors by offering comprehensive insurance solutions that combine data and behavioral intelligence with financial protection.
  • Platform innovation. Offering embedded insurance is a way to encourage innovation in the vertical ecosystem. By identifying industry-specific risks and offering customized coverage, vertical SaaS platform providers can help customers address emerging risk needs.

The critical element in embedded insurance is the technology and data orchestration layer, which gives the vertical SaaS platform access to insurance companies and brokers for product distribution. Data supporting embedded insurance can come from multiple sources, not just the providers of the insurance products. The SaaS platform provider also can leverage its own data on customers to provide relevant, right-sized insurance products.

This makes the insurance purchase much faster and easier, resulting in a direct benefit to customers that also enhances the platform experience. When SaaS platform providers and embedded insurance partners work together to meet SMBs’ needs, all parties win.


Paul Prendergast

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Paul Prendergast

Paul Prendergast is the chief executive officer and co-founder of Kayna, an insurance infrastructure platform that enables embedded insurance. 

He is a serial entrepreneur and former winner of the Deloitte Fast 50 for the fastest-growing technology company in Ireland. 

Kayna is a Lloyd’s Lab Accelerator alum and the 2023 winner of InsurTech NY’s Carrier/Broker Competition for Global Early-Stage Insurtech. 

How to Respond at Inflection Points

At inflection points, firms tend to congratulate themselves and keep doing the same things. Wrong answer. 

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KEY TAKEAWAY:

--Whether your actions caused the hockey stick growth or whether you just got lucky, you need a new strategy that takes into account the new reality while giving yourself the space to think about your identity and what activities need to be discontinued.

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I’m fascinated by inflection points within organizations. These are periods of rapid growth or change such as technology startups go through if they manage to find product-market fit. When these companies pitch venture capitalists, they often have a chart showing “hockey stick growth,” which is another way of demonstrating an inflection point.

Line graph with data points X, Y, and Z on a table called Inflection Points

Inflection points are caused because of actions taken by an organization or because of fundamental changes in the world around them. When pandemic restrictions were imposed around the world, Peloton experienced an inflection point in demand for their product. Nothing had radically changed about their product, but a good chunk of the world couldn’t leave their houses. Peloton eventually fell back to earth, unable to sustain their good fortune once restrictions were lifted. 

In this article, I want to touch on the three ideas related to dealing with inflection points and how your organization can be better prepared for a possible future or an existing present. 

You Need a New Strategy

I’m talking to an executive of an organization that is doing really well. They have surpassed all of their growth targets within a couple of years of a five-year strategy. Putting aside the anachronistic nature of five-year strategic plans, it was obvious to me that this organization needed a new strategy altogether. 

If we use the chart above as reference, we can see that this organization formulated their strategy at point X. Their strategy had several assumptions about the future that were no longer true. Continuing on the same plan wouldn’t take into account the plethora of opportunities now available because of the inflection point. It doesn’t matter that there’s three years left, because the plan is no longer rooted to reality.

I worked with another organization that was also experiencing an inflection point. The difference was this organization knew they needed a new strategy. In a short time, they realized they needed to be stricter about their criteria for expansion and not risk overextending themselves.

When management teams face inflection points, there’s a tendency to keep doing the same things. After all, isn’t that what created the inflection in the first place?

Yes and no. It is possible that past actions directly contributed to the inflection. Think about Apple and the popularity of products like AirPods, which depended on the success of the iPhone. It is also possible that conditions in the world changed without your input. Think about airlines and the massive rebound of leisure travel that occurred after the pandemic.

Regardless of the cause of the inflection point, an organization needs to reevaluate their strategy and ensure that it still makes sense for where they want to go.

What Does Your Organization Need to Be?

There are many strategic frameworks out there, but I contend that inflection points require organizations to answer one important question. 

What does your organization need to reach point Z in the chart above?

Think about what kind of organization is needed to successfully operate in the future and then determine what decisions are congruent with that identity.

When Uber started, it faced all kinds of legal challenges. They approached the battles with a war mindset, willing to fight in every city and country around the world. There’s no denying that this identity helped them break into a monopolistic industry that had rejected technology. At some point, Uber went from underdog to established player, but it didn’t change its identity. It took the public exit of the founder and CEO for Uber to shed its hostile culture. 

See also: Cyber Insurance at Inflection Point

What needs to be discontinued?

Continual growth, especially in an inflection point, requires equally aggressive discontinuation of certain activities, products and markets.

Sears successfully moved through multiple inflections by decreasing the focus on activities that had made them highly successful in the past. While Sears made their name with their catalog and shipping products by railroad, they eventually replaced all of that with retail stores. They noticed the demographic and cultural changes—migration to urban centers, the rise of the car and the increase in consumer spending after WWII—and successfully discontinued the model that made them successful. But they failed to discontinue their stores and move to ecommerce (like Amazon). 

As you rethink your strategy, you should have a clear plan for how you will get out of specific products or markets. They may be highly profitable or politically important but the consideration has to be whether these activities will fit in your new future. Be wary of activities that consume a disproportionate amount of time and resources. 

Conclusion

Inflection points are a good problem to have, but they can quickly turn into just problems. Regardless of what caused them, organizations need a new strategy that takes into account the new reality while giving them the space to think about their identity and what activities need to be discontinued. You can ride inflections to new heights, but doing so requires careful thinking on how to survive at higher altitudes.


Ruben Ugarte

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Ruben Ugarte

Ruben Ugarte helps insurance organizations, teams and individuals make exponentially superior decisions.

He has done this across five continents, in three languages, and his ideas have helped hundreds of thousands of people. 

 

Under the Hood: Unlocking the Hidden Value in Insurance Data

Discover the secrets to P&C insurance success in the data-driven age.

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In a world where “Data is everything, and everything is data,” carriers need to leverage data better than ever before.

Every day, a staggering 2.5 quintillion bytes of data are being generated, collected, and harnessed worldwide. And 90 percent of this data, according to Forbes, has materialized in just the past two years. Meanwhile, the global insurance data market is experiencing rapid growth and is expected to reach $30 million by 2028. *

Within this data are hidden customer insights and business opportunities. But for this data to be valuable, you must be able to find the data you want when you need it. Then, turn this data into information and information into action.

But that's becoming increasingly harder due to the sheer volume and nature of data. Different kinds of data — transactional data from core business systems and the data collected through other sources (imagery, sensors, warning systems, telematics) — can be scattered throughout a business, making it challenging to marshal in a concerted way. So, while data is everywhere, the question is how do we bring it all together? How do we analyze and extract insights at scale to improve decision-making, create efficiencies, and provide better customer experiences?

In this e-book, we explore the unique data challenges P&C carriers face, how they can harness the data they have, share and leverage information internally and externally, and integrate insights into every step of the decision-making lifecycle — ultimately, optimizing efficiency, offering a better customer experience, and turning this unexcavated data into a goldmine of opportunities.

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Sponsored by ITL Partner: OZ Digital Consulting


ITL Partner: OZ Digital Consulting

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ITL Partner: OZ Digital Consulting

OZ is a global digital technology consultancy and software delivery and development partner founded to enable business acceleration by leveraging modern technologies I.e., Artificial Intelligence, Machine Learning, Data Analytics, Business Intelligence, Micro Services, Cloud, RPA & Intelligent Automation, Web 2.0/3.0, Azure, AWS, and many more.   

Our certified consultants bring a diverse array of backgrounds and skill sets to the table, leveraging the latest outcome-driven technologies and methodologies to address the unique, constantly evolving challenges modern businesses face. We accomplish this by supporting the digital innovation goals of our clients, keeping them ahead of the competition, optimizing profitable growth, and strategically aligning business outcomes with the technologies that drive them – all underpinned by decades of mission-critical experience and a shared culture of continuous modernization. OZ will work side by side with you to fully leverage our relationships with the world’s leading technology companies so you can reap the benefits of best-in-class implementation, integration, and automation—making the most of your technology investments and powering next-gen innovation.

Why Can't People Think Straight?

Analysis of the 49ers' loss to the Browns on Sunday provides a perfect example of a cognitive blind spot that hinders innovation.  

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I come from a long line of people who scream at the TV when our Steelers are playing. My Dad taught my siblings and me well, and I've done my fatherly duty by passing the passion along to my two daughters. When the younger one was watching a Steelers game in college, a fellow student knocked on her door, said he'd heard a lot of yelling and wanted to be sure "you guys are all okay." My daughter was watching the game by herself.

I'm proud of you, Clare.

As you might imagine, I can be a tad critical of what the announcers say. But I was especially struck by the analysis by the TV pundits following the Cleveland Browns' upset of the San Francisco 49ers on Sunday. 

The pundits praised the Browns and denigrated the 49ers as though the outcome had never been in doubt. But, but, but... the 49ers had a 41-yard field goal attempt with six seconds to go that would have won the game, and NFL kickers are about 85% successful from that distance. The Browns didn't just need a coin flip to win the game; they needed the equivalent of calling a coin flip right three times in a row. 

Yet, given how the human mind works, everything about the game was viewed by the pundits based on the fact that the 49ers' kick leaked slightly outside the right goalpost. Had that kick been a yard or so to the left, the pundits would have had a completely different interpretation -- those gritty 49ers, etc.

I don't mean to trash TV football pundits -- well, maybe a few of them... but not more than half... two-thirds at the most -- but wanted to point to the faulty analysis of the game because it demonstrates a serious cognitive bias that's baked into us humans. 

It's called survivor bias, and it's a real threat to innovation. 

As much as it hurts me to be kind to the Browns (Pittsburghers call them "the Brownies"), their defense was awesome, and they mostly outplayed the 49ers. The win also makes for a great story. The Browns were without their injured $230 million quarterback Deshaun Watson and instead started a journeyman who had been in the XFL four years ago. Yet the Browns beat a team that was generally considered to be the best in the league.

After the game, the TV pundits could only sing the praises of the Browns. For instance, former Dallas head coach Jason Garrett said on "Football Night in America": “The guys on the defensive line for Cleveland were owning the line of scrimmage.... [49er quarterback Brock Purdy] certainly came down to Earth today. Struggled with the conditions, a lot of balls were slipping out of his hands, he wasn’t accurate…he just didn’t play as we’ve seen him play to this point.”

Everything he said is true, but neither he nor any of the other analysts said anything about how lucky the Browns had to be to win the game. Even before the field goal attempt by the 49ers that gave them an 85% chance of winning, the Browns benefited from a phantom unnecessary roughness penalty on what would be their final drive of the game (a clear error demonstrated by exhaustive replay analysis). Rather than face fourth-and-10 against a ferocious defense, the Browns picked up 15 yards and a first down, on their way to the field goal that provided the 19-17 margin of victory.

Just imagine how the take on Purdy would have differed if the 49ers had made the field goal. All his struggles would have been noted, but the narrative would have been about how the second-year quarterback, the last pick in the 2022 draft, had survived a brutal challenge from the Cleveland defense. He had marched the 49ers 52 yards down the field with time running out and had set up a field goal that kept his team undefeated. Why, he might be the new Tom Brady.

Purdy for MVP! Purdy for President!

There is certainly some smart analysis in football. (Looking at you, Ryan Clark and Bill Barnwell.) And that kind of analysis needs to be brought to insurance and innovation.

Barnwell actually accomplishes a lot based on just a single, simple adjustment to win-loss records. Rather than decide that some teams have a talent for winning close games, he believes that games decided by seven points or less are essentially coin flips. So, all a team's close wins become half-wins for analytical purposes, as do close losses. Based on that adjustment, he predicted, for instance, that the Minnesota Vikings would tumble from their 13-4 record last season, because they were 9-0 in close games. Sure enough, the Vikings began this season 1-4. (Barnwell also predicted that my Steelers will have their first losing season in Mike Tomlin's 17 years as head coach, but he can be wrong sometimes... I hope.)

The problem for corporate innovation efforts is that they are typically evaluated based simply on a win-loss record, without a Bill Barnwell on ESPN explaining the sorts of other issues that should be incorporated into the analysis.

Venture capital firms are built on the idea that nine out of 10 startups fail. You just have to be sure that the one success is so big that it covers for the others. In corporations, though, the people who keep moving up the corporate ladder are the ones with the unbroken string of wins, so the strivers don't want a one-in-10 chance of major success. They want a 10-in-10 chance of success, even if that success is small.

That's why, I believe, telematics adoption in cars is still so low even though its potential has been apparent for decades -- I, personally, first wrote about the technology almost 25 years ago -- and even though Progressive introduced its Snapshot capability 15 years ago. This need for guaranteed success is why take-up of the IoT has been so cautious, why companies are being so careful about the switch from the traditional "repair and replace" approach in insurance to a "predict & prevent" model, why so many companies are talking about the potential for generative AI but so few in insurance are actually exploring it in any significant way. 

Guarantees of small successes don't lead to breakthroughs.

The survivor bias is hard to shake, though. The first time I encountered it was in a great book on risk that talked about a ship full of Romans who were caught in a storm that was about to sink them but who prayed to the gods and survived. No one ever heard from the Romans who prayed to the gods and drowned, so how could anyone dispute the claims that the gods saved that one ship?

A very smart friend of mine once wrote a book about self-made billionaires and reported that they tended to be single-minded and made big bets. Great, but what about all the folks who were single-minded, made big bets and lost those bets? You could do a book about the benefits of buying lottery tickets if you just interview the winners.

We all fall victim to the sense that rich people must be smart. How else did they become so successful? But I've interviewed more billionaires than I can count and... hmmm. Lots are very impressive, but plenty just aren't. And I've interviewed loads of people who didn't make it big who struck me as much smarter than most of the billionaires -- such as the fellow who invented the iPad (but before the technology was quite ready) and launched an early form of eBay (but took ownership of the goods being auctioned, rather than just facilitating the exchange between private parties).

The survivor bias has even reared its head in academic research and has required corrective action. Papers on, say, the potential for new drugs get published when they find a statistically significant benefit, which generally means at least 95% likelihood. But research that doesn't find the desired result tends to not be published. Non-results are boring. So those reading the academic research see the survivors -- the studies that are 19 out of 20 certain of a positive link -- but not the potentially many other studies that found no link.

Government sponsors are increasingly requiring that all research be published, whether or not it produced an exciting result. And that sort of discipline needs to be brought to business.

Yes, those who have a sterling record of success might well be CEO material. But how big were their successes? Did they take any actual risks? What about the noble failures, the people who did take big risks and failed through no fault of their own? 

If we can get away from the survivor bias that people who succeed must be winners and can focus on rewarding noble efforts, we'll be much less cautious and more innovative as an industry.

Go, Steelers.

Paul

P.S. If you must know, my pet peeve with TV football analysts is their years-long claim that a receiver catching a 50-yard pass by outleaping a defender grabbed the ball "at its highest point." Paying even the slightest attention to physics, it's obvious that the ball reached its highest point when it was halfway to the receiver -- 25 yards or so upfield. At that point, the ball was 40 feet or more above the ground. While NFL players are exceptionally impressive athletes, no, it isn't possible for someone to catch a ball at its highest point, 40 feet or more in the air.

After years of my yelling at the TV, most announcers have changed their terminology and say a receiver "high-pointed" the ball when he makes a leaping catch on a long pass over a defender. That terminology doesn't make a lot of sense, but at least it's an improvement over grabbing "at the highest point."

Next, we'll get announcers to stop talking about "negative yardage" when they mean a loss and "positive yardage" when they mean a gain.

Here's hoping.

Go, Steelers. 

Redefining Insurance: Embracing AI, Data, and Innovation Beyond Policies

In this Future of Risk Forecast, Jim Jones shares his view of how technology is transforming insurance, and how he prepares students to succeed in this new landscape.

Jim Jones The Future of Risk Forecast

 

James R. Jones Headshot

Jim Jones is the Executive Director of the Katie School of Insurance and Risk Management at Illinois State University. The Katie School supports over 500 students majoring in risk management and insurance, actuarial science, and other majors who are interested in careers in insurance. He works with Katie School staff, the Dean of the College of Business, industry executives, departments chairs, and faculty in helping to develop talent for industry. Jones is Chair of the CPCU Society Ethics Committee.


Insurance Thought Leadership:

What technology now in the market do you believe will have the biggest transformative impact on insurance and risk management in the next 5 years?

Jim Jones:

All of the technologies that are helpful in predicting and preventing losses. The industry will need to distinguish itself by providing value for customers in doing more than just providing insurance policies. This could be smart IoT for homes, wearables to reduce worker injuries, or AI to help insureds better identify loss trends.

Insurance Thought Leadership:

What do you see as the biggest obstacles to insurance innovation, and how would you recommend overcoming them?

Jones:

Status quo bias is always the biggest obstacle. Past success has always been the greatest impediment to future innovation. Regulatory rigidity also is a real challenge to innovation, but can be overcome to some extent through regulatory sandboxes and the use of synthetic data to predict how innovations will impact customers.

Insurance Thought Leadership:

What is an area (or areas) that you believe remains untapped/unfulfilled/overlooked for the promise of innovation in insurance?

Jones:

The creation of a database of curated data that can be used by AI. Industry and regulators will be more comfortable with the AI recommendations if they know the data is accurate and valid.

Insurance Thought Leadership:

How do you believe AI will transform insurance and/or risk management?

Jones:

AI will transform every aspect of insurance, claims, underwriting, and distribution. I think professionals in the future will have limited careers if they do not understand how to leverage AI in their jobs.

Insurance Thought Leadership:

Have your programs changed or expanded to prepare tomorrow’s insurance and risk management professionals for working in new ways with technology and data?

Jones:

Yes, we have workshops and student research with real world clients in order for them to keep up to speed with changing technology and risk landscape.

Insurance Thought Leadership:

Has the wider application of technology in insurance changed how students view opportunities in the insurance industry?

Jones:

Once they see the opportunities, we have a much more diverse pool of talent interested in insurance. Insurance already has so much data and that is appealing to students who want to work with and analyze data. Other technology oriented students see the opportunity for technology in insurance related to AI and to cybersecurity.


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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.

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