Reflections from the Digital Insurance Agenda, Amsterdam

Reflections from the Digital Insurance Agenda, Amsterdam

Earlier this month Craig Beattie and I ventured off to Amsterdam to attend the Digital Insurance Agenda (DIA), where we also delivered a keynote. This was the event’s second year and, within just 12 months, it has grown significantly to around 850 people – attracting insurers, innovative technology players (from both the establishment and budding entrepreneurs), and investors from across Europe and beyond. The format is a sprightly mix of keynote presentations, panels, and live demonstrations. And, like last year, it was another great mix of people and ideas, each focused on driving change in customer engagement across the industry through technology.

(Venue: Gashouder at the Westergasfabriek. An impressive venue – with Celent on stage somewhere up there at the front :-))

Key take-aways for me were:

  • Distribution and front-end engagement remains a strong area of focus for innovation. However, unlike recent history where investment has been heavily channelled into mobile or touch-enabled browser experiences, the presence of chat and other app-less modes of interaction were strongly evidenced throughout most of the live demos. This has been a hot trend over the last 12 months, and where Celent has explored both insurer and consumer attitudes towards it (see Celent report: Applying Conversational Commerce to Insurance: Aligning IT to the Machine World). Given the issues that many insurers have had with trying to encourage customers to download their apps and engage with them through them, it’s not hard to see why 'smart chat' is being pursued so aggressively.
     
  • Heavier focus on the use of data for risk profiling and the application of emerging AI techniques (beyond chat use-cases). Personally, I find it incredible just how low the entry barriers have become for experimenting with data and AI. The perfect storm of huge compute power via the cloud, open-source and pay-per-use models for advanced technology enables those with relatively modest means and a great idea to get started. For me, this continues to be one of the most interesting areas in our industry for mining value. It’s also an area that insurers still find a challenge (see Celent report: Tackling the Big Data Challenges in Global Insurance: Differences Across Continents and Use Cases).
     
  • Celent has been tracking the development of innovation partnerships across the industry for a number of years (see Celent report: Insurer-Startup Partnerships: How to Maximize Insurtech Investments). At DIA, it was easy to see this in action. The vast majority of firms presenting were not a direct threat to the industry at large, but instead were exemplars of better ways of doing things through the use of smart technology. It’s not hard to envision that a few of the firms demonstrating at DIA will walk straight into pilots following the event.

The event was closed with a keynote from Scott Walcheck of Trov. Scott shared openly some of the progress that they have been making – which, to me, feels impressive. For example, they now have ~60-70 engineers working on the team and claim to be growing revenue by ~44% month-on-month (albeit from a starting position of zero).

Out of all of the insurtech start-up activity globally, there are just a handful of firms (in my opinion) who have the potential to really shake things up – and Trov is one of these.  They now have the capital, the engineering capacity and the partnerships to do some truly incredible things – if they choose to.

I also found it interesting to hear that they have started to evolve their business model into three focus areas, being: (1) Trov as a direct brand; (2) White-labelled Trov; and (3) Insurance-as-a-service, where they will rent their platform to partners – plus with an aspiration to evolve it into auto, home and other lines.  Given Celent’s focus on technology research across the industry, this last model-type is of keen interest. Trov’s engineering capacity is already a similar size to (and in some cases larger than) many mid-to-small insurance carriers. It is also larger than some of the traditional independent solution technology providers out there. Could they be the next big technology player on the scene in addition to their existing branded business?  Only time will tell, but it is clear they are already demonstrating how insurtech represents a new way of delivering insurance product development.

For more commentary on DIA, see Craig Beattie’s Moments on Twitter.  Also, keep checking the DIA website as they will shortly release some of the videos from the event.

A cautionary tale of legacy technology or how to avoid a major meltdown in your organization

A cautionary tale of legacy technology or how to avoid a major meltdown in your organization

Were any of you flying Delta from April 5 to April 9?  If so, this story will be no surprise to you.  For the rest of you, you may remember it was spring break and terrible weather pounded Atlanta. The severe weather caused a five–day meltdown across Delta’s flight network and over 4,000 flights were cancelled. During those five days, Delta struggled mightily with two basic functions of its business – flying airplanes and accommodating passengers. The weather is, of course, out of Delta’s control, but the response and the ensuing chaos was amplified by something insurers understand all too well — the lack of modern technology. 

According to a Wall Street Journal article, the root of the problem was a telephone busy signal. An internal investigation found the biggest problem was that Delta’s 13,000 pilots and 20,000 flight attendants calling in for a new assignment couldn’t get through to the people in Atlanta who were rebuilding the airline schedule. Computers told gate agents rescheduled crews would be there, but the flights would end up canceled for lack of a crew member who was lost in Delta’s communication fiasco and unaware of the assignment.

I have to confess, my first thought when I read this article was to wonder how on earth a major company like Delta can be so lacking in modern technology. My next thought was wow, this is true for the insurance industry as well. While life insurance companies don’t have the challenges of rescheduling thousands of flights, a negative change in the stock market can create thousands of customer calls. And when a major catastrophe occurs, property casualty insurers can also be inundated by phone calls.

Delta’s response was to double the size of the crew-tracking team, dramatically increase the number of phone lines by June; and hope to have a system which will be able to send crews information about their trips electronically by August.

Rather than relying on hope, following are suggestions for insurers so that they can avoid the type of meltdown experienced by Delta:

  • Self-service portals or apps where customers can check their balances, make changes to their policies, and communicate with their insurer.
  • Chatbots that can provide answers to questions without human interaction.
  • Text messages to keep insureds informed.
  • Webchat to allow communication via the website.
  • Omni-channel support to allow seamless switching between devices.

We can’t control the weather or the stock market.  Unexpected events will happen.  But, how an insurer responds to them can have a significant impact on the customer experience and the customer long term relationship with the insurer.  In a hyper-competitive market, customer experience is a key differentiator.

If you are interested in building a better customer experience, here is a report you may find interesting, Standing Out in a Bland World: Global Life Insurance Customer Service Strategies.

A Day to Celebrate: Celent 2017 Model Insurer Winners

A Day to Celebrate:  Celent 2017 Model Insurer Winners

Last April 4, Boston, a city surrounded by history of patriotism and independence, was witness of Celent Innovation and Insight Day (I&I day), an event in which 16 insurers were recognized as Model Insurers for their technological initiatives that, I’m sure, inspired more 280 professionals of the Financial Service industry by the efforts and ideas on how other insurers could implement them within their organizations.

Andrew Rear, chief executive of Munich Re Digital Partners was the Model Insurer keynote speaker. He discussed the role of Insuretech for large insurers and spoke of how these insurers could acquire agility, the pathway that they needed to choose, and more importantly, the risks they had to bear. He also discussed how Financial Services were redefining the way financial products are sold, delivered, and serviced.

No sensible website asks you for your email address anymore. They should know who you are by other means

~Andrew Rear

 

In the afternoon, our analysts participated in a series of debates focusing on the Internet of Things (IoT); Artificial Intelligence (AI); and Blockchain which was lively discussion. In between, Celent presented its Model Insurers for five categories and the Model Insurer of the Year.

Digital and Omnichannel

  • CUNA Mutual Group

The rapid development and launch of a simplified-issue term life insurance product that enables members to apply entirely online, answering only two health questions supported by a completely automated underwriting platform that delivers an instant decision in minutes.

  • Lincoln Financial Group

Lincoln Financial created a digital process to meet customer expectations of doing business, automate underwriting, reduce cycle time, and minimize human touch.

  • New York Life

The New York Life Portal initiative utilized digital connectivity and a ratings engine cloud-based platform to achieve a faster process and empower various actors across the organization.

To learn more of these Model Insurers, please read our report here.

Legacy and Ecosystem Transformation

  • Republic Indemnity

Republic Indemnity’s previous home-grown, legacy policy administration system was implemented in 1994 as a single state, Workers Compensation policy administration system. As the previous system could not issue multi-state policies and with the concern of technology obsolesce, Republic Indemnity looked for a new solution to replace its home-grown, legacy system.

  • ERS

Under new management, the business had to transform itself rapidly and replace 20-year-old technology. It had a major license renewal date in two years and would have been locked in by the vendor to a prohibitively expensive contract. It set about transforming claims first, and then policy with full data migration and scheme rationalization, all while growing the underlying gross written premium

  • Insurance Corporation of British Columbia

At the beginning of 2013, the Insurance Corporation of British Columbia (ICBC) launched the Insurance Sales and Administration System (ISAS) policy transformation program. This was the last project in ICBC’s overall $400 million Transformation Program, which had already successfully replaced legacy claims systems and implemented a new Enterprise Data Warehouse and an enterprise service-oriented architecture.

To learn more of these Model Insurers, please read our report here.

Innovation and Emerging Technologies

  • Suramericana de Seguros S.A.- Wesura

Wesura (Sura) created a peer-to-peer Insurance platform around social networks. It develops private insurance communities so final users can share risk and underwrite people who wants to belong to the private community, the bigger the community the more benefits one can receive.

  • Church Mutual Insurance Company

Church Mutual Insurance Company has partnered with The Hartford Steam Boiler Inspection and Insurance Company (HSB), part of Munich Re, to provide temperature and water sensors connected to a 24/7 monitoring system. This innovative Internet of Things (IoT) technology solution is designed to alert customers to take action before damages and disruptions to their ministries can occur.

  • Markerstudy Insurance

Markerstudy launched VisionTrack in February 2016 to tackle the challenge insurers are facing with rising fraudulent motor claims and to help improve driver behavior.

To learn more of these Model Insurers, please read our report here.

Operational Excellence

  • Aflac

Aflac was in need of some modernizing and is still likely to undergo more change as the industry continues to capitalize on social, mobile, and wearables. In response, the Aflac IT Division implemented an Agile Transformation to its projects and processes to meet the changing needs of the customers.

  • Saxon

Saxon serves the Cayman island community. With a limited pool to hire from or sell product to, Saxon realized that to remain viable in the insurance market, it needed to employ technology to better serve the needs of its customers and grow the business.

  • MassMutual

MassMutual offers a Data Science Development Program (DSDP) in Amherst, MA that trains promising, recent graduates to become well-rounded data scientists over a period of three years. The program combines rigorous academic coursework and practical data science projects for MassMutual — a unique and valuable combination.

To learn more of these Model Insurers, please read our report here.

Data Analytics

  • The Savings Bank Life Insurance Company of Massachusetts

SBLI implemented an advanced risk assessment solution using predictive modeling and data analytics to help reduce cycle times, decrease dropout rates, and eliminate the need to pull fluids and conduct exams, while pricing policies more competitively, placing applicants into appropriate risk classes, and improving customer experience.

  • StarStone Specialty Insurance Company

The initiative is based on the implementation of analytics tools to measure and reduce risk. The solution uses data from internal and external sources. The data may be structured or unstructured. This tool helps underwriters make better decisions.

  • Meteo Protect

Although a broker, Meteo Protect gives clients a means to evaluate how climate variability contributes to their companies’ results by analyzing the relationship between each business activity and the weather. It couples this with a platform to price and underwrite fully customized index-based weather insurance, for any business anywhere in the world.

To learn more of these Model Insurers, please read our report here.

CSE, Model Insurer of the Year

In 2017, CSE has been awarded Model Insurer of the Year for its aspiration to achieve “the best product in the industry.” This meant they had to overcome legacy thinking and practices to re-think all the features including coverage, pricing, rules, process, and communications To do so, they sought inputs from customers and analyzed the market using two common analyses: 5 Cs and SWOT. From this point on, CSE assembled and adapted its core system.

To learn more of the Model Insurers of the Year, please read our report here.

The quality of the submissions this year is a clear indication the industry is turning a corner and embracing transformation, digital initiatives, innovation and valuing data analytics.  It is inspiring to see the positive results the insurers have achieved and a pleasure to recognize them as Model Insurers for their best practices in insurance technology.

How about your company? As you read this, are you thinking of an initiative in your company that should be recognized? We are always looking for good examples of the use of technology in insurance. Stay tuned for more information regarding 2018 Model Insurer nominations.

Digitizing Life Insurance New Business with Technology and Tools

Digitizing Life Insurance New Business with Technology and Tools

In February Celent published its second report using data from a 2016 New Business Benchmarking Survey. The first report compared data based on the average face value of products sold by the participating insurers. The second report presented the same benchmarking data but considered technology as the main focus. It compared the overall averages for a set of key metrics with the averages for high and low technology users throughout the new business process. The findings from the report were not surprising; except for the fact that we had to acknowledge that technology in the new business is still slow to take hold.

We found that electronic application use is on the rise. Just less than one half of all applications by the participating insurers were submitted electronically. The insurers that sold moderate face value policies were more apt to use electronic applications than insurers that sell high face value policies. That makes complete sense since most insurers begin their eApplication journey with less complex products like term or whole life. Celent believes that all insurers can achieve benefits from eApplications. Less than half the insurers in the study Insurer reported having an eApplication, and those with captive insurers submitted a larger percent of their new business via eApps. Direct to consumer as a channel was reported by four of the insurers and they received 20% of their applications from e-apps targeted to consumers.

Data quality is a critical issue that strongly impacts unit costs. As a group, the insurers that participated in this study estimated that 69% of all paper applications received were not in good order (NIGO). For those that implemented eApps and have a technology heavy new business process the NIGO rate fell to 5%.

We also found that imaging systems were ubiquitous. Ninety-eight percent of paper applications were imaged. Imaging was also used for the underwriting requirements that are received in paper. Workflow systems were also very common. But as the process moved closer the underwriting evaluation the level of automation began to drop off. Seventy percent of the participating insurers could automatically order and receive underwriting requirements; however, this happened for less than a quarter of the applications. Since most third party providers of underwriting evidence can provide data in digital formats, this Celent recommends this as an area for future investment by insurers. Further down the line shows that technology is not king in the underwriting departments yet. Automated application evaluation, underwriting/case management workbenches, and electronic signatures were used by over half of the insurers in the study; however, less than 40% of all applications were managed on a workbench. Even fewer were processed by an underwriting system, and only 12% included electronic signatures. Electronic policy delivery, new in the 2016 survey, occurred for 4% of all applications.

When an insurer is fully automated in the NBUW process, benefits can be seen in cost and time metrics. For insurers that implemented technology throughout their new business process the unit cost per application dropped from US$312 to US$237, and unit cost per policy issued fell from US$440 to US$329. The average cycle time fell from 38 days to 17 days for the insurers that implemented a full suite of new business and underwriting technology into their process.

The highest-level conclusion that can be drawn from this new business benchmarking data is that even among top-tier insurers, there are significant differences in new business performance, particularly when technology is considered. Creating performance measures such as unit cost, percentage of new submissions “in good order,” and cycle time is essential. Monitoring those measures against a peer group will be an eye-opening experience for insurers that do not do it today. While direct comparisons between insurers are difficult due to product and channel differences, this study and our previous one suggest there is a strong relationship between face amount and unit cost. It also suggests that technology can have an impact on costs and cycle times when it is implemented across the process or even in just parts. Insurers are urged to analyze their own performance, starting with metrics such as unit cost per application received, unit cost per policy issued, and percentage of cases received not in good order.

The notion that life insurance underwriting is more art than science (and thus exempt from automation) is misleading at best. It is true that the subtleties in underwriting present unique challenges for technology. But underwriting is a process like many others in that it requires certain data as input, and there are rules that govern both the process flow and the decisions that result from it. Following basic principles of getting clean data and automating wherever possible will help insurers do their jobs more cheaply and more effectively.

Process improvement strategies should focus on implementing electronic applications, automating the receipt of third party underwriting evidence, and automating underwriting decisions. The order depends on the distribution strategy and change management processes in place to maximize the benefit. Few insurers have maximized the potential value of new business automation, but the findings in this report show the time savings and cost reduction potential of implementing technology across the new business process flow.

I Have a Vision, I Have a Project, I Have a Team

I Have a Vision, I Have a Project, I Have a Team

This year I was honored to coordinate the 11th Celent Model Insurer program.  The journey started in September 2016 when we opened the window to submissions and will not end until April 4 at our Innovation and Insight day at the State Room in Boston, Massachusetts where Celent will award and present the best Information Technologies (IT) initiatives in insurance.

This year we received around 100 nominations from carriers around the world, including those applying for Model Insurer Asia. These nominations are a vast sample of the best IT initiatives in insurance. Particularly for Model Insurer Award, we evaluated 60 cases from countries like:

As part of our methodology, we classify Initiatives within the following themes:

A Glance at Some Cases

As part of the team that judged the cases, I was amazed by the quality of cases we received and by the methodology that insurers are using to implement their projects. I’d say that this year, Celent has witnessed both technology and methodology is moving further and playing an important role in insurance. Here are some examples of our cases:

  • An insurer in an island had to face high operational costs, limited skilled people, and lack of space, and then it decided to move its whole IT department to the cloud.
  • We also evaluated cases in which the need for a quick change to go to market forced the organization to create a separate organization to lead the change and act as another insurer.
  • One insurer, in order to implement its best product, started all from ground up.It hired the right people, made organizational changes, and conducted several market research in order to understand what really its customers wanted. From that point on, the insurer started to customize its core system.
  • Not to mention that Latin America has implemented its first peer-to peer insurer.

All of them are very interesting cases that make it difficult to describe in a single blog.

By evaluating all these cases a question arose, what was in common among these projects? I think the answer is simple. People leading these projects had a vision. Sometimes the long path to pursue success becomes bumpy, but it’s worth it. These cases are examples of people who embarked on a project to pursue a vision by using technology and methodology.

Celent has always acted as a catalyst agent that promotes change and innovation by leading projects and exposing case studies to the insurance industry. This year we’ve seen how insurance companies have responded by using technology to adapt themselves to a more competitive environment, and as part of Celent, I’m thrilled to be part of this evolution.

Back to the Future

Back to the Future

A long time ago, before joining Celent, I was part of the insurance industry from the insurer side and my work was to look for ways to improve the company’s processes and innovate. I really liked the job because you had to come up with ideas and accept that you had restrictions, and sometimes you had to face the sad truth that the technology supporting your ideas wasn't available.

Now at Celent, I’ve witnessed a whole new world of possibilities because, as part of Celent, we are exposed to many, many successful cases implementing technology in insurance through research and events, especially in events like our Innovation & Insight day (I&I day). This year our I&I day takes place in Boston, Massachusetts on April 4, and Celent will award the best Information Technology (IT) initiatives in insurance.

That day, Celent will be presenting winners in 5 categories.

  • Digital and Omnichannel
  • Legacy and Ecosystem Transformation
  • Innovation and Emerging Technologies
  • Operational Excellence
  • Data Analytics

The Model Insurer Award is recognition of an insurer’s effective use of technology in a certain area or theme, not necessarily a statement that the insurer is absolutely best in class (although some may be). Model Insurer success highlights the insurer’s ability to improve performance and meet market demands when tackling issues that face all insurers today.

For instance, do the below examples sound familiar to you?

  • Under new management, the business had to transform itself rapidly and replace 20-year old technology. This insurer had a major license renewal date two years out and would have been locked in by the vendor to a prohibitively expensive contract.
  • An insurance company needed to create a digital process to meet customer expectations of doing business, automate underwriting, reduce cycle time and minimize human touch.
  • Another insurer utilized digital connectivity and ratings engine cloud-based platform to achieve a faster process and empower various actors across the organization.

I’m sure the examples above are the types of projects you’d like to implement at your company, but these are just a sample of the case studies we received. This year we received around 60 case studies applying for our Model Insurer Award. Of those, fifteen will be awarded Model Insurer and one will be the Model Insurer of the Year.

Personally, this year has been different. This year, I was amazed about the quality of cases we received and methodology that insurers are using to implement their projects, which made very difficult to deliberate. I’m not saying this is bad thing, on the contrary; it is a sign that the industry is on the move and it is using the best technology available.

I wish I had a time machine like in “Back to the Future” to go back to the days I worked for insurance companies, and tell my younger self: “you cannot miss this event; it will help you with your project.”

So, this is my advice. If you are part of the insurance industry and you are working in IT projects, this is the type of events you may want to attend to benchmark and learn about initiatives around the world that would help you define yours.

Lost in Innovation?

Lost in Innovation?

So, how do you avoid getting lost in innovation? The simple (and maybe glib) answer might be to buy a map, a compass and start to plan your route. However, what do you do when there is no map, no obvious path to take and no-one to follow?

The last 24 months have seen an incredible amount of activity across the sector in experimenting with novel proposition concepts fuelled by emerging technologies in the internet of things, distributed ledgers and bot-driven artificial intelligence. Although each new concept shows promise, we are yet to experience a clear and obvious pattern for winning new clients or delivering a superior shareholder return using them. Many of the most exciting novel ideas (and many are genuinely exciting) are yet to see any real business volume behind them (see my earlier blog for additional context of what insurtech has to offer in defining the ‘dominant design’ for new tech-enabled propositions).

So, as an insurer faced with having to balance how much it should invest in these new concepts versus furthering the existing business in what is probably a highly successful and scalable model, two of the big questions we often hear from clients are: “Which of these nascent concepts are most likely to deliver real business value the fastest?” and “How much effort should I be devoting to exploring them today?” These are the questions that we looked to address at our latest event in London that we called ‘Lost in Innovation’, attended by just over 70 inquiring insurance decision makers.

Faced with uncertainty, we followed an agenda that focused on the things that an insurer can control, such as the innovation-led partnerships they enter, the skills they develop internally, the criteria used for measuring value, and the potential challenges ahead that they need to plan for.

Celent analyst Craig Beattie presenting on emerged software development approaches

Alongside presenting some of our latest research on the topic, we were joined on-stage by:

  • Matt Poll from NEOS (the UK’s first connected home proposition in partnership with Hiscox) shared his experience on the criteria for a successful partnership.
     
  • Jennyfer Yeung-Williams from Munich Re and Polly James from Berwin, Leighton, Paisner Law shared their experience and views on some of the challenges in the way of further adoption, including the attitude of the regulator and potential legal challenges presented by using personal data in propositions.
     
  • Dan Feihn, Group CTO from Markerstudy, presented his view of the future and how they are creating just enough space internally to experiment with some radical concepts – demonstrating that you don’t always need big budget project to try out some novel applications of new technologies.

So, what was the conclusion from the day? How do you avoid getting lost in innovation? Simply speaking, when concepts are so new that the direction of travel is unclear, a more explorative approach is required – testing each new path, collecting data and then regrouping to create the tools needed to unveil new paths further ahead until the goal is reached. Scaling concepts too early in their development (and before they are ready) may be akin to buying a 4×4 to plough through the scrub ‘on a hunch’ only to find quicksand on the other side.

Some tips shared to help feel out the way:

  • Partnerships will remain a strong feature of most insurer’s innovation activity over the next 12-24 months. Most struggle to create the space to try out new concepts. Also, realistically, many neither have the skills or the time to experiment (given that their existing capabilities are optimised for the existing business). Consequently, partnerships create a way to experiment without “upsetting the applecart”.
     
  • Hiring staff from outside of the industry can be a great way to change the culture internally and bring-in fresh new ideas…however, unless there is an environment in place to keep them enthused, there remains a risk of them turning ‘blue’ and adopting the existing culture instead of helping to change it.
     
  • There are several ways to measure value created by an initiative. The traditional approach is a classic ‘Return on Investment’ (RoI). However, RoI can be hard to calculate when uncertainty is high. To encourage experimentation, other approaches may be better suited, such as rapid low-cost releases to test concepts and gather data to feel the way. Framing these in terms of an ‘affordable loss’ may be another way to approach it – i.e. “What’s the maximum amount that I’m willing to spend to test this out?” – accepting that there may not be an RoI for the initial step. Although no responsible insurer should be ‘betting the house’ on wacky new concepts, reframing the question and containing exposure can sometimes be all that’s required to create the licence to explore.
     
  • There’s still an imbalance between the promise of technology and the reality of just how far end-customers and insurers are willing to go in pursuit of value. The geeks (or ‘path finders’) have rushed in first – but will the majority follows? Regardless, to avoid getting lost in the ‘shiny new stuff’, a focus on customer value, fairness and transparency around how data is being used need to be at the heart of each proposition – plus, recognising that the regulator will not be far behind.
     

In summary, the journey ahead needs to be less about the ‘what’ (with all of its bells, whistles and shiny parts) and more about the ‘how’ (deep in the culture of the firm and its willingness to experiment – even in small ways) – at least while the map to future value is being still being drawn.

Celent continues to research all of these topics, including assessing the different technologies and techniques that insurers can use. Feel free to get in touch to discuss how Celent could assist your organisation further.

Celent clients will be able to access the presentations from the event via their Celent Account Manager.

Long Live Legacy and Ecosystem Transformation

Long Live Legacy and Ecosystem Transformation

When I started working at Celent back in November 2007, one of the research topic we were covering extensively was the legacy system modernization or replacement topic. Nowadays, legacy modernization remains a topic that has still a high importance in insurance CIOs’ agenda across the globe. Indeed based on our 2017 insurance CIO survey and out of 150 responses received across the globe, 57% of insurers are currently working on legacy modernization system projects. Another 10% are in the planning process and 11% will begin new legacy transformation projects next year.

It is therefore important for us to help our insurance customers understand what embarking in a core system replacement or modernization project means. While the benefits of modernizing core legacy systems are clear and compelling (gaining a competitive advantage — or achieving competitive parity, reducing operational and IT costs, making better underwriting and claims decisions, seizing analytic advantages when information and processes become completely digital), there are a lot of factors at play from the definition of the new system requirements, the approach to be chosen between the development of a new system and the purchase of a package or a best-of-breed component, to the selection of the optimal partners. Another crucial part of a legacy system replacement is the implementation of the new system as it can represent a major challenge notably in terms of project management, customization effort and migration. Implementations are particularly challenging when they involve multiple vendors and integrations.

To help our insurance customers figure out all the factors at play, every year we describe some cases in the frame of our Model Insurer program. This year we will be presenting the three cases we have received among more than 20 submissions in the frame of our Innovation & Insight Day event, which will take place in Boston on the 4th of April 2017. In addition to presenting the legacy modernization category award winners, we will also explain why they have decided to replace their legacy systems and what opportunities have been identified. We will also describe the implementation effort and draw out lessons learned. For those of you who will not be able to make it in person, we will publish a report profiling the three winners but I hope to meet you in big number at our event in Boston.

The ABCD of Emerging Technology

The ABCD of Emerging Technology

Alphabet Blocks A to D

Celent has mapped over 45 emerging technologies in P&C and a similar number in Life & Health. That's way too much for an insurer to handle and the pace of technological change outpaces the industry's capacity to absorb it. You could say though that there is a set of 4 emerging technologies with the most potential to profoundly affect insurance; the ABCD of emerging technology:

  • Artificial Intelligence
  • Blockchain
  • Cloud
  • Data (big and small)

The four altogether become a strong enabler for Digital. Digital interactions, digital products, digital claims, everything digital. Digital becoming important to meet the expectations of customers that want insurance to be simple, right now, as I want it, when I want it, and relevant to me. On the other hand, many consumers are still not being attracted by insurance; creating a protection gap. Digital comes as a possible response to close this gap, and in the process has the ability to profoundly change insurance as we know it. Actually, we may not call it insurance anymore. It may just be something that comes as a warranty of the product or service. Have I gone mad?

Imagine cars with assisted driving. There is an accident involving the autopilot function and the manufacturer claims no responsibility. Who is going to buy this car after that incident? No surprise then to see some car manufacturers, vested in automated driving, indicate that they will assume liability. Of course they will, and in the process what they are doing is to offer their customers a guarantee that the product will perform as indicated in the user manual. By being able to monitor the car status they are also able to prevent accidents or breakdown. So in the future will you get car insurance or a manufacturer warranty?

You can imagine any other product that can be monitored, for example as part of the IoT. All these products will generate data, and that data will enable their manufacturers to provide a service; in many cases that service will be a preventive one. See the trend here?

Today many digital initiatives in insurance still rely on the use of a call center. That's not digital because it implies human to human interaction. Each interaction needs of a human in the call center, so each interaction adds cost as there is no way you can make the human person be digital. The use of chatbots or robo-advisors enabled by artificial intelligence and natural language capabilities allow digital interactions, where each interaction can be taken simultaneously by a robot with no, or marginal, cost to do it. By robot don't think about a physical robot but software instead. Just as the one used by Lemonade to settle claims fast.

Artificial intelligence with machine learning capabilities also allows us to mess with a huge amount of data; discovering new patterns. The more information ingested to these machines the better answers you get. The more is used, the more it learns, the smarter it gets. Even most importantly, this technology today is very good at taking repetitive and predictable processes and doing it faster, better and cheaper than humans. You are smart, you don't need me to explain how this is relevant to insurance, do you?

Technology as the one described here is available on demand and in the cloud. Need more computing power? being in the cloud can solve that problem very easily. Pay as you go? cloud deployments make this technology available at a per use price. Basically cloud makes technology accessible to anyone.

Blockchain is the glue that can hold it all together. Digital and physical assets (that can be digitized) can be stored in the blockchain. The IoT could be linked to blockchain. Then, any rules applicable to digital transactions can rely on smart contracts. Finally by providing trust and provenance through a decentralized body blockchain becomes the basis to catapult digital in any scale, even when peers don't know each other.

Are you mastering the ABCD of emerging technology? Not yet? Don't be left behind; insurers around the world have already started. Want to find more about how insurers can take advantage of emerging technology and innovation? Contact me or any person at Celent. We will be happy to dive into this with you.

2016 – A year of InsurTech as well as Insurance Technology

2016 – A year of InsurTech as well as Insurance Technology
We’re fast approaching the end of what has been a very eventful 2016, one that has seen (amongst other things) significant new investment in the insurance industry and a focus on InsurTech. This interest was reflected in those reading our blog with a clear trend towards innovation and sources of new technology for insurers.
  1. Will your next insurance administration system be on the Blockchain?
  2. Guidewire Acquisition of FirstBest – A Wakeup Call for Core Suite Vendors?
  3. The Evolving Role of Architects
  4. Slice: Insurance disruption in action
  5. Insurance companies are embracing technology — for investment
  6. A golden day for insurance: Celent 2016 Model Insurer winners
  7. In search of a new ‘dominant design’ for the industry. What does insurtech have to offer?
  8. Blockchain in insurance – who needs it, anyway?
  9. Is State Farm Pre-positioning Itself for the End of Auto Insurance (and Maybe the End of Homeowners Insurance Too)?
  10. A positive note for Brazil: A few insurance market developments to follow with interest
Mixed in here are a few topics on the basics of running an insurance company but overall the top 10 most popular blogs focused on InsurTech and innovation topics. InsurTech has certainly been a source of much of the hype. Examining some of the most popular reports this year suggest a more balanced focus from our clients though, with an interest in both established methods and technologies, applying new enterprise technologies as well as InsurTech and Block Chain topics.
  1. EMEA Policy Administration Solutions
  2. Changing the Landscape of Customer Experience with Advanced Analytics: Applications in Banking, Wealth Management, and Insurance
  3. Innovation Outlook 2016: Practitioners’ Predictions
  4. Model Insurer 2016: Case Studies of Effective Technology Use in Insurance
  5. IT Spending in Insurance: A Global Perspective, 2016
  6. North America Policy Administration Solutions
  7. Blockchain in Insurance: Use Cases
  8. Choosing Blockchain Use Cases in Insurance: Guiding the Hammer Toward the Real Nails
  9. Robotic Process Automation in Insurance
  10. Insurtech Has Arrived: A Primer
This mix of focus on core insurance topics with an eye to the future and InsurTech aligns well with what we’re hearing from insurers. So far the InsurTech movement has largely been symbiotic with the insurance industry rather than disrupting the incumbents. We are seeing a focus on partnerships and new firms augmenting the old ones – but the insurers need to be ready to bring in this new technology. 2017 will continue to see insurers investing to reduce costs, to increase agility, reduce these inhibitors and address problematic legacy issues. 2017 looks like it’s shaping up to be a year of opportunities for insurers who choose to take them. In the meantime, perhaps these top 10 breakdowns from most of 2016 will offer some useful holiday reading to help catch you up.