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Presenter:
Kevin Pledge, FSA, FIA
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE
DISTRIBUTION
SESSION 90
OCTOBER 19, 2011
Primary Competency: Strategic Insight & Integration
2
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
“the future is already
here - it just not very
evenly distributed”
3
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
North America
currently have
automated UW
considering automated
UW
not considering
4
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
Source: 2011 Underwriting Survey - Hank George Inc., Select X Ltd.
Elsewhere
currently have
automated UW
considering automated
UW
not considering
5
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
Source: 2011 Underwriting Survey - Hank George Inc., Select X Ltd.
different products
regulations
market pressures
technical barriers
6
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
electronic applications
face amount threshold for lab and paramed
preferred pricing
MIB and MVR
7
8
47 days
9
Source: 2009 LOMA Service Turnaround Times Survey – Term Products
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
10
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
• key drivers:-
• issue time
• cost
• consistency
• minimize invasiveness
• new channel / market
11
COPERNICUS SS/G
URE BUSINESS OBJECTIVES
 Management of Risk
 Complete, objective & consistent risk assessments
 Minimising Underwriting Costs
 Maximising immediate acceptance, reducing need for medical evidence
 Philosophy contains over 10,000 Rules and 40,000 Assessments
 Improving the Customer Experience
 Configurable process allowing continual improvement through experience
 Configured for each distribution channel
 Maximising Business Opportunities & Conversion Rates
 Immediate acceptance at POS maximised at ordinary rates, rated or with exclusions
 Intelligence gathered used to help Up-Sell, Cross-Sell, Alternative Terms, Buy-Now
 Enhanced Management Information
 Full real time data analysis by distribution channel
 Day to day portfolio management
obvious statement:
slow decision = attrition
by how much?
13
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
0
20
40
60
80
100
Immediate Delay
percent who said they
would return
14
0
20
40
60
80
100
Immediate Delay
percent who actually
did return
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
OUR MARKET
STP RATES IN A PRICE DRIVEN MARKET
0%
10%
20%
30%
40%
50%
60%
70%
80%
2002 2004 2005 2007 2009
Acceptance Levels
75%
of customers
wasting time
With SS/G
70%+
of customers get
immediate
decision
Products & Services
Example Benefit
Little ‘t’ Tele-U/W’
Little ‘t’ tele-UW30% 4%
POS/Big ‘T’
Initial Underwriting
Reflexive Underwriting
20%
Rated
Acceptance
100%
72% 42%8%
Original
Acceptance DeclinedNPWs
0%0%
Medical Evidence
GPR/MER 6%15%
68%18% 4%10%Total =
Refer to
Underwriter
Tele-UW
8%
22%
11%
Manual
Decision
20% 6%10% 4%
0% 0%0%
Evidence
15%
Carry Forward
9%
change of emphasis
tactical  strategic
17
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
New ways to
interact
New information in
risk assessment
Using data more
effectively
Underwriting
speed
Ease of case
submission
Sales support
18
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION

Acquisition Features
 ‘Up Sell’, ‘Cross Sell’ and ‘Buy Now’
 Revision of Terms at Point of Sale
 POS Acceptance levels
 70% + for Life
 70% + for Critical Illness
 45% - 55% for Income Protection
Product Development
 Rapid Product development through Configuration
Deployment
 Customer Website, Broker Website, Call Centre, Traditional Back Office
Branding
 Ability to white label within hours (through style sheets) and configuration
 Ability to configure process and products rules according to channel/brand
Copernicus SS/G - Business Acquisition
Summary
control
has
shifted to
the
business
user
20
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
Control of Product
 Product Design - multi-life, multi benefit
 Products Launch - speed of product launch
 Rates - rapid re-pricing
Control of Proposition
 Access to Distribution – multi channel
 Ability to Flex - to suit the way your customers want to do business
Control of Process
 Deployment - Self Serve, Call Centre or Back Office
 Processing - data capture, screen sequencing, process sequencing
 Underwriting Approach - POS U/W, Tele U/W, Back Office U/W
Copernicus SS/G
Business Control
By Configuration – not Customisation
• Impact of immediate acceptance
• 40% change mind
• Impact of alternative offers 20% vs 40%
perception
22
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
predictions
for discussion
23
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
24
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
25
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
26
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
27
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
28
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
29
Michel de Nostradame
1503 - 1566
King Henry II of France
1519 - 1559
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
predictions– data….
• more sophisticated data analysis
• greater connectivity to external data
30
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
predictions– distribution…
• greater control given to the distributor
• more underwriting knowledge at point of
sale
• distributor presenting underwritten
cases to insurance co.s
31
EMERGING TECHNOLOGIES AND THE
FUTURE OF INSURANCE DISTRIBUTION
• Kevin is CEO and Co-Founder of Insight Decision Solutions.
• Kevin has written several articles and is co-author of “The Analysis of
Insurance Earnings” (2008).
• He has served on three SOA section councils and Microsoft’s Partner
Advisory Council for 5 years.
• Kevin qualified as a Fellow of the Institute of Actuaries (UK) in 1992
and a Fellow of the Society of Actuaries (US) in 2004.
kpledge@insightdecision.com
905 475 3282 x 224
@kevinpledge
http://ca.linkedin.com/in/kevinpledge
KEVIN PLEDGE
32

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Emerging Technologies and the Future of Insurance Distribution

  • 1. Presenter: Kevin Pledge, FSA, FIA EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION SESSION 90 OCTOBER 19, 2011 Primary Competency: Strategic Insight & Integration
  • 2. 2 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 3. “the future is already here - it just not very evenly distributed” 3 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 4. North America currently have automated UW considering automated UW not considering 4 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION Source: 2011 Underwriting Survey - Hank George Inc., Select X Ltd.
  • 5. Elsewhere currently have automated UW considering automated UW not considering 5 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION Source: 2011 Underwriting Survey - Hank George Inc., Select X Ltd.
  • 6. different products regulations market pressures technical barriers 6 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 7. electronic applications face amount threshold for lab and paramed preferred pricing MIB and MVR 7
  • 8. 8
  • 9. 47 days 9 Source: 2009 LOMA Service Turnaround Times Survey – Term Products EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 10. 10 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 11. • key drivers:- • issue time • cost • consistency • minimize invasiveness • new channel / market 11
  • 12. COPERNICUS SS/G URE BUSINESS OBJECTIVES  Management of Risk  Complete, objective & consistent risk assessments  Minimising Underwriting Costs  Maximising immediate acceptance, reducing need for medical evidence  Philosophy contains over 10,000 Rules and 40,000 Assessments  Improving the Customer Experience  Configurable process allowing continual improvement through experience  Configured for each distribution channel  Maximising Business Opportunities & Conversion Rates  Immediate acceptance at POS maximised at ordinary rates, rated or with exclusions  Intelligence gathered used to help Up-Sell, Cross-Sell, Alternative Terms, Buy-Now  Enhanced Management Information  Full real time data analysis by distribution channel  Day to day portfolio management
  • 13. obvious statement: slow decision = attrition by how much? 13 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 14. 0 20 40 60 80 100 Immediate Delay percent who said they would return 14 0 20 40 60 80 100 Immediate Delay percent who actually did return EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 15. OUR MARKET STP RATES IN A PRICE DRIVEN MARKET 0% 10% 20% 30% 40% 50% 60% 70% 80% 2002 2004 2005 2007 2009 Acceptance Levels 75% of customers wasting time With SS/G 70%+ of customers get immediate decision
  • 16. Products & Services Example Benefit Little ‘t’ Tele-U/W’ Little ‘t’ tele-UW30% 4% POS/Big ‘T’ Initial Underwriting Reflexive Underwriting 20% Rated Acceptance 100% 72% 42%8% Original Acceptance DeclinedNPWs 0%0% Medical Evidence GPR/MER 6%15% 68%18% 4%10%Total = Refer to Underwriter Tele-UW 8% 22% 11% Manual Decision 20% 6%10% 4% 0% 0%0% Evidence 15% Carry Forward 9%
  • 17. change of emphasis tactical  strategic 17 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 18. New ways to interact New information in risk assessment Using data more effectively Underwriting speed Ease of case submission Sales support 18 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION 
  • 19. Acquisition Features  ‘Up Sell’, ‘Cross Sell’ and ‘Buy Now’  Revision of Terms at Point of Sale  POS Acceptance levels  70% + for Life  70% + for Critical Illness  45% - 55% for Income Protection Product Development  Rapid Product development through Configuration Deployment  Customer Website, Broker Website, Call Centre, Traditional Back Office Branding  Ability to white label within hours (through style sheets) and configuration  Ability to configure process and products rules according to channel/brand Copernicus SS/G - Business Acquisition Summary
  • 20. control has shifted to the business user 20 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 21. Control of Product  Product Design - multi-life, multi benefit  Products Launch - speed of product launch  Rates - rapid re-pricing Control of Proposition  Access to Distribution – multi channel  Ability to Flex - to suit the way your customers want to do business Control of Process  Deployment - Self Serve, Call Centre or Back Office  Processing - data capture, screen sequencing, process sequencing  Underwriting Approach - POS U/W, Tele U/W, Back Office U/W Copernicus SS/G Business Control By Configuration – not Customisation
  • 22. • Impact of immediate acceptance • 40% change mind • Impact of alternative offers 20% vs 40% perception 22 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 23. predictions for discussion 23 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 24. 24 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 25. 25 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 26. 26 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 27. 27 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 28. 28 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 29. 29 Michel de Nostradame 1503 - 1566 King Henry II of France 1519 - 1559 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 30. predictions– data…. • more sophisticated data analysis • greater connectivity to external data 30 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 31. predictions– distribution… • greater control given to the distributor • more underwriting knowledge at point of sale • distributor presenting underwritten cases to insurance co.s 31 EMERGING TECHNOLOGIES AND THE FUTURE OF INSURANCE DISTRIBUTION
  • 32. • Kevin is CEO and Co-Founder of Insight Decision Solutions. • Kevin has written several articles and is co-author of “The Analysis of Insurance Earnings” (2008). • He has served on three SOA section councils and Microsoft’s Partner Advisory Council for 5 years. • Kevin qualified as a Fellow of the Institute of Actuaries (UK) in 1992 and a Fellow of the Society of Actuaries (US) in 2004. kpledge@insightdecision.com 905 475 3282 x 224 @kevinpledge http://ca.linkedin.com/in/kevinpledge KEVIN PLEDGE 32

Editor's Notes

  1. William Gibson
  2. UK and South Africa ahead – widespread e-apps since 2000, high acceptance rates 40-70%, rules engines since 1990, dynamic since 2000 – all channels including internet Aus / NZ – e-apps since 2005, dynamic engines since 2005, up to 50% acceptance Asia (SE Asia, India, Japan) – Starting to adopt e-apps, agent laptops, telesales mainly, up to 40% acceptance
  3. 47 days = 1,128 hours = 67,680 minutes
  4. Michel de Nostradame (aka Nostradamous) 1503 - 1566 “Predicted” the death of King Henry II of France in 1559 Prediction published 48 years after the death of Nostradamous in 1614 Newspaper adopted in 17th century (1731 in France) (Guttenberg press 1440)