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New Underwriting Covers & Tools
6th Reinsurance Meeting of Rio de Janeiro
Agenda
Insurance in the Digital Age
New Technologies in the Insurance Industry
New Underwriting Covers & Tools
2
1
3
2
Conclusion4
1. Insurance in the Digital Age
3
4
In less than 10 years
5
2. New Technologies in the Insurance Industry
6
Data and Analytics
Artificial Intelligence and cognitive computing
Wearables and Internet of Things
2
1
3
7
1 Data & Analytics
Many insurers expect to invest more in data analytics in the coming years.
Underwriting is a key area of focus along with sales, marketing and claims.
Functions in which insurers apply data analytics
(Survey question: To which functions do you apply Big Data
analytics?
Share of all North American insurers investing in Big Data
• Cognitive computing is the simulation of human thought processes in a computer
model
• Cognitive systems continually learn from large sets of data and apply that
knowledge to future situations
• May be able to answer complicated questions faster and more efficiently than
humans
• Examples: IBM's Watson & Magnum
Cognitive systems can create new areas of innovation in life insurance
8
– Can examine through data equivalent of
about 1 million books, analyze the
information and provide responses in less
than 3 seconds
– Commercial applications are growing
(healthcare, pharmaceutical, financial
services, travel, telecom, retail)
Artificial Intelligence and cognitive computing2
The number of connected devices in use in the world is forecast to grow fivefold in the
next 10 years. By 2025 the number of connected devices in use is expected to total around
25 billion.
Wearable devices by area of market focus, % of total
Wearables and Internet of Things3
3. New Underwriting Covers and Tools
10
Automated Underwriting
Tech-enabled solutions2
1
Enhanced consumer experience3
On-going developments4
11
What is
Magnum?
Traditional customer application journey
• The process takes too long
• Requires to fill up application forms, medical questionnaires,
paper heavy
• Medical tests as a prerequisite
• Time consuming communication between insurer, agent and
customer
• During application process current status typically unknown
• Unsure of when, or if, customer will be accepted and at what
rates
• Many customers abandon application process without
insurance due to this long journey
Automated Underwriting1
Lengthy, complex and invasive underwriting processes have long been viewed as
an impediment to reaching and engaging with more of the un- and underinsured.
Automation in underwriting is a growing trend that will be pushed to new frontiers by
cognitive technologies and digital data
Percent of insurers who can auto-underwrite life and health products
Survey question: What share of your business can you auto-underwrite?
Automated Underwriting1
13
What is
Magnum?
Automated Underwriting1
Benefits of automated underwriting Distribution and Marketing
• High point of sale acceptance leading to
increased placement rates
• Multiple channels support
Product and Underwriting
• Cost reduction: medical evidence and no manual
underwriting
• Immediate decision
• Consistent standards and decisions
• No missing errors
• Reduced non-disclosure through salesperson
monitoring
Operation and portfolio
management
• Low maintenance costs due to system
flexibility
• Data insights help to drive profitability
and manage the portfolio
• High volume processing
Automated Underwriting
Example - Industry’s first fully mobile underwriter
14
What is
Magnum?
1
100’000 sales agents armed with tablets
processing up to 60’000 mobile applications
in one day
 A large Chinese insurer with 100’000 agents all
using a Magnum Mobile Point of Sale tablet based
solution processing millions of lives per year
including spikes of 60’000 applications in any one
day.
 With the introduction of Magnum Mobile the
company’s straight through processing rate has
increased by 16%.
 The entire solution is available in simplified Chinese
including Magnum reporting providing them near
real-time insights into their business underwritten
by Magnum.
15
What is
Magnum?
• Different Underwriting solutions exist depending on where
companies stand in their digital journey.
• Simplified underwriting approaches can be implemented before
moving to a full automated underwriting.
• Cognitive computing can help reading applicant’s application,
extracting all relevant facts, comparing to underwriting rules and
guidelines and making decision.
• New types of data and analytical tools will help expand the use of
predictive underwriting. It can help identify lower-risk individuals,
leading to streamlined underwriting process that is more
convenient and customer friendly for healthy applicants.
• The challenge for insurers is to optimize their data management
capabilities and practices to best engage consumers
Automated Underwriting1
New types of data and analytical tools will help expand the use of predictive underwriting
Challenges faced by
companies using data
analytics
• Impaired lives e.g. Diabetes, AIDS
• Wellness & wearables
• Data interpretation
• Facial recognition
16
Tech-enabled solutions2
17
Tech-enabled solutions2
Better understanding and monitoring of risks will push the boundaries of insurability
• Technological advancements and data will allow a shift from traditional experience-based
underwriting to a real-time, exposure-based approach
• Example:
– offers life and disability cover for HIV positive and diabetics
– sends reminders for tests and monitors results, pulling data directly from medical
providers
– policyholders have to go for regular blood tests and take medication as prescribed or
benefits / coverage can be lowered or cancelled
– Some new Health devices provide sensor which reads glucose information and eliminates
the need for the more usual finger prick system used for glucose testing
18
Enhanced consumer experience3
The ideal journey
• Whole process takes less than one hour
• No paper or incomplete application form
• Medical tests only for high sum assured
• Seamless real time communication between agent and
customers
• Current status always known
• Customer informed at point of sale decision and rates
• Greatly reduced chance of customers abandoning the
process without insurance
combined with …
19
Enhanced consumer experience3
Customer Education Strategies: Testimonials
Customer Engagement Strategies: Gamification
Innovative covers
Engaging design (look & feel, symbols vs. words,
scroll vs. clicks, game vs. forms)
Benefits easy to understand ? Able to determine
level and coverage amount without much advice
needed ?
More value to consumers
“No surprise” covers
Reduced costs
20
Examples4
Active Population
by socioeconomic
class
C+
Max
6,533 usd
C
Max
2,690 usd
D+
Max 892 usd
D
Max 523 usd
E
Max 207 usd
AB
+6,533 usd
14.3%
16.9%.
35.6%
21.5%
4.9%
6.8%
Distribution Channel
Traditional Affinity Internet / Cell Phone
John Hancock
Term with Vitality
(US)
Edelweiss Tokio
Term Life (India)
Short Term Care
(EU)
Whole Life LTC
accelerator (UK)
Senior Cancer
Protection (Korea)
CI, Surgical Cash,
Hospital Cash
(Latin Am)
Death, Critical
illness, female
cancer and
reconstructive
surgery (EU)
Simplified Issue
AD/Death (Asia)
21
Examples4
Source: John Hancock Term with Vitality, http://ipg-us.com/wp-content/uploads/JH-Vitality-Term-Guide-Producer.pdf
Success Stories – Online Term Pdt in India
22
• Online term product recently
launched by insurer that is focused
on delivering a customer centric
buying experience
• Customer journey to optimise online
experience to aid policy completion,
including behavioural economics
testing and gamification.
• Strong focus on continual website
optimization to enhance
effectiveness and efficiency across
all touch points of the customer
journey
Examples4
23
Example:
Predictive analytics
Predictive model used to reduce the need to validate self-reported
smoking status. Leverages a triage process to reduce the volume of
fluid testing for younger ages and lower amount policies.
Examples4
Biovotion
Innovation: Medical grade wearable
A Quiet
Sunday
A Day with
Challenges
Example:
Wearables
4. Conclusion
24
25
New underwriting covers and tools can enable:
• accessing new risks pools
• making it easier to buy insurance
• engaging and empowering consumers to buy insurance
Technology is framing expectations and shifting consumer preferences
Reduce Protection Gap
in Latin America
26
1. Connect and Attract
Reach new customers
2. Transact
Simplify the journey with faster, more
efficient underwriting
2. Extend and retain
Create on-going, more fruitful
relationships with your policyholders,
27
Legal notice
28
©2017 Swiss Re. All rights reserved. You are not permitted to create any modifications
or derivative works of this presentation or to use it for commercial or other public purposes
without the prior written permission of Swiss Re.
The information and opinions contained in the presentation are provided as at the date of
the presentation and are subject to change without notice. Although the information used
was taken from reliable sources, Swiss Re does not accept any responsibility for the accuracy
or comprehensiveness of the details given. All liability for the accuracy and completeness
thereof or for any damage or loss resulting from the use of the information contained in this
presentation is expressly excluded. Under no circumstances shall Swiss Re or its Group
companies be liable for any financial or consequential loss relating to this presentation.

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6º Resseguro - Vida Individual - Novas Coberturas e Ferramentas de Subscrição - Charles Lutz

  • 1. New Underwriting Covers & Tools 6th Reinsurance Meeting of Rio de Janeiro
  • 2. Agenda Insurance in the Digital Age New Technologies in the Insurance Industry New Underwriting Covers & Tools 2 1 3 2 Conclusion4
  • 3. 1. Insurance in the Digital Age 3
  • 4. 4
  • 5. In less than 10 years 5
  • 6. 2. New Technologies in the Insurance Industry 6 Data and Analytics Artificial Intelligence and cognitive computing Wearables and Internet of Things 2 1 3
  • 7. 7 1 Data & Analytics Many insurers expect to invest more in data analytics in the coming years. Underwriting is a key area of focus along with sales, marketing and claims. Functions in which insurers apply data analytics (Survey question: To which functions do you apply Big Data analytics? Share of all North American insurers investing in Big Data
  • 8. • Cognitive computing is the simulation of human thought processes in a computer model • Cognitive systems continually learn from large sets of data and apply that knowledge to future situations • May be able to answer complicated questions faster and more efficiently than humans • Examples: IBM's Watson & Magnum Cognitive systems can create new areas of innovation in life insurance 8 – Can examine through data equivalent of about 1 million books, analyze the information and provide responses in less than 3 seconds – Commercial applications are growing (healthcare, pharmaceutical, financial services, travel, telecom, retail) Artificial Intelligence and cognitive computing2
  • 9. The number of connected devices in use in the world is forecast to grow fivefold in the next 10 years. By 2025 the number of connected devices in use is expected to total around 25 billion. Wearable devices by area of market focus, % of total Wearables and Internet of Things3
  • 10. 3. New Underwriting Covers and Tools 10 Automated Underwriting Tech-enabled solutions2 1 Enhanced consumer experience3 On-going developments4
  • 11. 11 What is Magnum? Traditional customer application journey • The process takes too long • Requires to fill up application forms, medical questionnaires, paper heavy • Medical tests as a prerequisite • Time consuming communication between insurer, agent and customer • During application process current status typically unknown • Unsure of when, or if, customer will be accepted and at what rates • Many customers abandon application process without insurance due to this long journey Automated Underwriting1 Lengthy, complex and invasive underwriting processes have long been viewed as an impediment to reaching and engaging with more of the un- and underinsured.
  • 12. Automation in underwriting is a growing trend that will be pushed to new frontiers by cognitive technologies and digital data Percent of insurers who can auto-underwrite life and health products Survey question: What share of your business can you auto-underwrite? Automated Underwriting1
  • 13. 13 What is Magnum? Automated Underwriting1 Benefits of automated underwriting Distribution and Marketing • High point of sale acceptance leading to increased placement rates • Multiple channels support Product and Underwriting • Cost reduction: medical evidence and no manual underwriting • Immediate decision • Consistent standards and decisions • No missing errors • Reduced non-disclosure through salesperson monitoring Operation and portfolio management • Low maintenance costs due to system flexibility • Data insights help to drive profitability and manage the portfolio • High volume processing
  • 14. Automated Underwriting Example - Industry’s first fully mobile underwriter 14 What is Magnum? 1 100’000 sales agents armed with tablets processing up to 60’000 mobile applications in one day  A large Chinese insurer with 100’000 agents all using a Magnum Mobile Point of Sale tablet based solution processing millions of lives per year including spikes of 60’000 applications in any one day.  With the introduction of Magnum Mobile the company’s straight through processing rate has increased by 16%.  The entire solution is available in simplified Chinese including Magnum reporting providing them near real-time insights into their business underwritten by Magnum.
  • 15. 15 What is Magnum? • Different Underwriting solutions exist depending on where companies stand in their digital journey. • Simplified underwriting approaches can be implemented before moving to a full automated underwriting. • Cognitive computing can help reading applicant’s application, extracting all relevant facts, comparing to underwriting rules and guidelines and making decision. • New types of data and analytical tools will help expand the use of predictive underwriting. It can help identify lower-risk individuals, leading to streamlined underwriting process that is more convenient and customer friendly for healthy applicants. • The challenge for insurers is to optimize their data management capabilities and practices to best engage consumers Automated Underwriting1 New types of data and analytical tools will help expand the use of predictive underwriting Challenges faced by companies using data analytics
  • 16. • Impaired lives e.g. Diabetes, AIDS • Wellness & wearables • Data interpretation • Facial recognition 16 Tech-enabled solutions2
  • 17. 17 Tech-enabled solutions2 Better understanding and monitoring of risks will push the boundaries of insurability • Technological advancements and data will allow a shift from traditional experience-based underwriting to a real-time, exposure-based approach • Example: – offers life and disability cover for HIV positive and diabetics – sends reminders for tests and monitors results, pulling data directly from medical providers – policyholders have to go for regular blood tests and take medication as prescribed or benefits / coverage can be lowered or cancelled – Some new Health devices provide sensor which reads glucose information and eliminates the need for the more usual finger prick system used for glucose testing
  • 18. 18 Enhanced consumer experience3 The ideal journey • Whole process takes less than one hour • No paper or incomplete application form • Medical tests only for high sum assured • Seamless real time communication between agent and customers • Current status always known • Customer informed at point of sale decision and rates • Greatly reduced chance of customers abandoning the process without insurance combined with …
  • 19. 19 Enhanced consumer experience3 Customer Education Strategies: Testimonials Customer Engagement Strategies: Gamification Innovative covers Engaging design (look & feel, symbols vs. words, scroll vs. clicks, game vs. forms) Benefits easy to understand ? Able to determine level and coverage amount without much advice needed ? More value to consumers “No surprise” covers Reduced costs
  • 20. 20 Examples4 Active Population by socioeconomic class C+ Max 6,533 usd C Max 2,690 usd D+ Max 892 usd D Max 523 usd E Max 207 usd AB +6,533 usd 14.3% 16.9%. 35.6% 21.5% 4.9% 6.8% Distribution Channel Traditional Affinity Internet / Cell Phone John Hancock Term with Vitality (US) Edelweiss Tokio Term Life (India) Short Term Care (EU) Whole Life LTC accelerator (UK) Senior Cancer Protection (Korea) CI, Surgical Cash, Hospital Cash (Latin Am) Death, Critical illness, female cancer and reconstructive surgery (EU) Simplified Issue AD/Death (Asia)
  • 21. 21 Examples4 Source: John Hancock Term with Vitality, http://ipg-us.com/wp-content/uploads/JH-Vitality-Term-Guide-Producer.pdf
  • 22. Success Stories – Online Term Pdt in India 22 • Online term product recently launched by insurer that is focused on delivering a customer centric buying experience • Customer journey to optimise online experience to aid policy completion, including behavioural economics testing and gamification. • Strong focus on continual website optimization to enhance effectiveness and efficiency across all touch points of the customer journey Examples4
  • 23. 23 Example: Predictive analytics Predictive model used to reduce the need to validate self-reported smoking status. Leverages a triage process to reduce the volume of fluid testing for younger ages and lower amount policies. Examples4 Biovotion Innovation: Medical grade wearable A Quiet Sunday A Day with Challenges Example: Wearables
  • 25. 25 New underwriting covers and tools can enable: • accessing new risks pools • making it easier to buy insurance • engaging and empowering consumers to buy insurance Technology is framing expectations and shifting consumer preferences Reduce Protection Gap in Latin America
  • 26. 26 1. Connect and Attract Reach new customers 2. Transact Simplify the journey with faster, more efficient underwriting 2. Extend and retain Create on-going, more fruitful relationships with your policyholders,
  • 27. 27
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