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Automated Underwriting:Threat or Opportunity?Jason Bowman, Head of Accelerated Underwriting, NA
Dan Drabik, Senior Magnum Consultant
Ever feel overwhelmed by the pace of change?
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The pace of change
1997 High End Desktop 2012 Smartphone DifferentialProcessor 266 MHz 1.5 GHz 10x fasterMemory 32 MB 1.5 GB 48x moreStorage 4.3 GB 32 GB 8x more
Cost $2,800 $600 Fifth of priceWeight 25-30 pounds 5 ounces 1% of weight
iPad adoptionhit 20 milliondevices in just15 months
Limit successand lack of ROI
Late 1990's:Internet changeseverything!
4
Automated Underwriting
A long and winding road!
80's / 90'sFirst systemsimplemented
Initial implementationwith point of sale
technology(too early)
Main focus onpaper processingin head office
Early 2000's:Emergence of tele-
underwriting 2013: Automationnow a ticket to the
game!
2010 onwards:First deploymentson mobile devices
Mid 2000's:Direct internet
sales
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How will automation affect me?
"Is my job in danger withpotentially less cases
requiring underwriting?"
"In addition to everythingelse do I now have tobecome IT expert?"
"Is my company going tobe able to keep pace with
these changes?"
The move to simplifiedunderwriting and theincreased focus on themiddle market is drivingthe adoption ofautomated underwriting
In a recent surveyreferenced 18% ofcompanies say they areconsidering developing adirect internet channel inthe next 5 years (31% forlarge companies)
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Simplifying the process
Source: Simplified Issue Survey 2012, Hank George Inc
(Response for all companies. For large carriers 77% predictincrease)
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Channels / Modes
Underwriting can nowtake place across a
range of environments
Direct Internet
Paper / Head Office
Branch
Tele-underwriting
Mobile
Agent / Broker
In the UK, South Africa, Asia& Australia, around 50% -80% of all life insurance isassessed automatically
While some companies havereduced underwriting staff,the largest firms still havelarge underwriting teams
The role of the underwriterhas changed and those thathave rule engine experienceare highly sought after
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The global perspective
* - Underwriting engines: the new strategic imperative in life and disability business
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…And the picture in Continental Europe
1 2 3 4 5
11%
56%
0%
22%
11%
The Company I currently work for is…1. Not considering an automated
UW Engine2. Currently considering an
automated UW Engine3. Currently implementing an
automated UW Engine4. Already has an automated UW
Engine in place5. None of the above
Does your company currently use a rules-based underwriting engine to process andinterpret at least some data traditionally reviewed by underwriters?
11
A similar story in North America
34.6%
7.7%
1.0%
40.4%
16.3%
0% 10% 20% 30% 40% 50%
No, we have not considered thisas yet
No, we considered using anengine but decided not to do so
No, we used an engine at onetime but stopped using it
No, but we are considering or inthe process of
acquiring/implementing
Yes
Source: Automated Life Underwriting: Phase 2 Study of Automated Life Insurance Underwriting 2010 Society of Actuaries,
Some common reasons underwriters have negative perceptionsabout engine-based underwriting
Fear of the impact on job security
Pushback from some advisers
Not being comfortable defending engine decisions
Underwriting is a science and an art (no longer true?)
13
Underwriter objections to automation
70%
15%
10%5%
Today
Case AssessmentResearch/StandardsProduct DevelopmentApplication Design
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So, how might the role of underwriter change?
50%
20%
20%
10%
Future
Case AssessmentRule DevelopmentAnaylticsApplication Design
//SMITH1 JOB 1,LEO,MSGCLASS=X // EXEC PGM=IEFBR14 //NEWDS DDDSN=SMITH.LIB.CNTL,DISP=(NEW,CATLG),VOL=SER=WORK02, //UNIT=3390,SPACE=(CYL,(3,1,25) //OLDDS DD D
//ADDPROC1 JOB 1,SMCHUGH,MSGCLASS=X // EXEC PGM=IEBUPDTE//SYSPRINT DD SYSOUT=* //SYSUT1 DD DISP=OLD,DSN=MY.PROCLIB//SYSUT2 DD DISP=OLD,DSN=MY.PROCLIB //SYSIN DD DATA ./ ADDLIST=ALL,NAME=MYJOB1 //STEP1 EXEC=SUZNX1 //PRINT DD SYSOUT=A// (more JCL for MYJOB1) //SYSUDUMP DD SYSOUT=* (last JCL forMYJOB1) ./ REPL LIST=ALL,NAME=LASTJOB //LIST EXEC PGM=SUZNLIST// (more JCL for this procedure) //* LAST JCL STATEMENT FOR LASTJOB ./ENDUP /*SN=SMITH.OLD.DATA,DISP=(OLD,DELETE)
//SMITH2 JOB 1,GEOFF,MSGCLASS=X // EXEC PGM=IEBGENER //SYSINDD DUMMY //SYSPRINT DD SYSOUT=X //SYSUT1 DDDISP=SHR,DSN=SMITH.SEQ.DATA //SYSUT2 DDDISP=(NEW,CATLG),DSN=SMITH.COPY.DATA,UNIT=3390, //VOL=SER=WORK02,SPACE=(TRK,3,3))
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Rule development – the old way!
Rule development – the new way!
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The days of handwritten code areover!
Increasingly thesetools are usingvisual developmentwith simple drag-and-dropcapabilities to givenon-technicalbusiness users rulebuilding ability. Thiseliminates the needfor IT resources.
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Analytics
How much of our medicalbudget is spent on casesthat never complete?
How do differentunderwriting
approaches compare e.g. tele-uw, direct internet, traditional?
What are thebest questions
on the application form forgathering disclosures. Whichquestions add little value?
How reliable is client disclosedinformation versusmedical evidence forany given impairment?
Which of oursalespeople areencouraging the
clients to non-discloseand submit fraudulentapplications?
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The rise of business intelligence
Source: “Where next with business intelligence –plotting your BI roadmap”, Oracle (2010)
There is a strongtrend towards theuse of managementreporting to driveperformance in twoareas:
- Operational(transactional)excellence
- Management(strategic) excellence
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Disclosure patterns and system effectiveness
Understanding the most frequentlydisclosure and how effectively they areassessed through the system
The reliability of client disclosed information
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Questions AnswersNumber ofApplicants
% ofApplicants
Completionrate
% Std
Have you been admittedto hospital within thelast 2 years with this
condition?
No 15,606 98.7 64.1 87.4
Yes 213 1.3 57.3 55.0
Have you taken oralsteroids in the last twoyears for this condition?
No 10,092 87.8 73.3 88.4
Yes 1,403 12.2 68.1 77.5
Have you taken steroidtablets such as
prednisolone in the lasttwo years for thiscondition? (Please
ignore inhaled steroids)
No 4,085 94.5 41.4 87.7
Yes 239 5.5 61.8 60.5
How many attacks haveyou had in the last two
years?
0 8,823 82.9 60.8 88.2
1-3 1,606 15.1 55.7 78.9
4-10 159 1.5 52.2 81.9
over 10 59 0.6 52.5 77.4
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Using data to reduce non-disclosure
Companies are looking to use the data captured through thesesystems to monitor agent behavior in terms of the quantity andquality of underwriting information
22
Case StudyDisclosure rate changes following implementation of salespersonmonitoring
Data highlightedsignificant agentinvolvement in non-disclosure
Remedial actiontaken includingdisciplinary insome cases
Over the course of12 month period a13% increase indisclosure wasobserved
23
Application Form Design
Simplify ProcessReduce application form questions
& simplify process
Reduce PriceIncrease quality of disclosure to
enable more accurate risksegmentation & lower price
Competing Pressures
Question Wording Yes No % Yes % only disclosure
Chest pain for which you have been referred to, or attendeda hospital 898 33,894 2.6% 31.4%
Within the last month, have you started any new course ofdrug treatment or counselling? 507 25,434 2.0% 25.6%
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
% Loaded Average ExtraMortality
Average Age Average BMI Lives withImpairment
% Completing
Tele-UW vs Traditional UW
Tele-UW Traditional UW
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Comparing underwriting process and/or distribution
Understandingimplications ofunderwritingmethod
Understandingimplications ofunderwritingmethod
Using data to understand and predict the experience for newunderwriting approaches and how these will likely vary from traditionalunderwriting models
Difference in disclosurelevels does lead to
higher ratings
Technology advances are having a major impact on theunderwriting process
The pace of change is increasing
The role of the underwriter is vital but will be potentially quitedifferent in the future
Keys to adapting to the future
– Remain open and interested in new developments
– Encourage your company to embrace technology that puts the business(rather than the IT department) in control, and the customer at thecenter
– Get involved & enjoy the journey!
25
Summary
Legal notice
©2013 Swiss Re. All rights reserved. You are not permitted to create anymodifications or derivatives of this presentation or to use it for commercialor other public purposes without the prior written permission of Swiss Re.
Although all the information used was taken from reliable sources, Swiss Redoes not accept any responsibility for the accuracy or comprehensiveness ofthe details given. All liability for the accuracy and completeness thereof orfor any damage resulting from the use of the information contained in thispresentation is expressly excluded. Under no circumstances shall Swiss Reor its Group companies be liable for any financial and/or consequential lossrelating to this presentation.
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