2
Cautionary Statement Regarding Forward-Looking Information
This document and the remarks made within this presentation m...
3
The World of
4
Our Future and Focus
We’ll be there when our
customers need us, helping
them recover and realize
their idea of a better ...
5
We live in a world of
profound change...
Over 90% of the world’s
data was created in the
last 2 years
6
AIG’s Global Transformation has...
NEW
HUMAN CAPITAL
STRUCTURE
NEW
PROCESSES &
TECHNOLOGY
NEW
SCIENCE &
ANALYTICS
Simila...
7
The model has changed
CUSTOMIZATION STANDARDIZATION
REGION
COUNTRY
LOB GLOBAL
LOB
COUNTRY
8
Segmentation, matching severity with
expertise, drives value
CASUALTY
EXPRESS MAJOR COMPLEX
Multiple LOB
9
We run a factory of decision makers
TIME
EXPRESS
COMPLEX
MAJOR
10
AIG’s Global Transformation has...
NEW
HUMAN CAPITAL
STRUCTURE
NEW
PROCESSES &
TECHNOLOGY
NEW
SCIENCE &
ANALYTICS
11
Pivotal
role of the
Claims
Adjuster
Managing
loss costs
and providing
feedback
FRAUD
MED 
MGT
SUBRO
LIT 
MGMT
SALES
U/W...
12
Expanding Shared Services
Right Skill in the Right Place
2500
724
1652
2000
2000
0 2,000 4,000 6,000 8,000 10,000
2015
...
13
14
AIG’s Global Transformation has...
NEW
HUMAN CAPITAL
STRUCTURE
NEW
PROCESSES &
TECHNOLOGY
NEW
SCIENCE &
ANALYTICS
15
Using Science and analytics to
better understand claims
Severity
Modeling
Adjuster
Performance
AIG WayLeakage
Prevention
16
Claims Triage Model
Mitigate
risk,
get people
healthier,
faster
Route
complex
cases
appropriately
Identify
dynamic
path...
17
Fraud Analytical Platform
Model Referrals
to Recovery
PREDICTIVE MODELS
MACHINE LEARNING
LINK ANALYSIS
PATTERN ANALYSIS...
18
Transformation manifests
externally long after felt internally
IDEATIONIDEATION
PROTOTYPEPROTOTYPE
IMPLEMENTATIONIMPLEM...
Thurs,june26 900am-aig keynote
Thurs,june26 900am-aig keynote
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Thurs,june26 900am-aig keynote

  1. 1. 2 Cautionary Statement Regarding Forward-Looking Information This document and the remarks made within this presentation may include, and officers and representatives of American International Group, Inc. (AIG) may from time to time make, projections, goals, assumptions and statements that may constitute “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. These projections, goals, assumptions and statements are not historical facts but instead represent only AIG’s belief regarding future events, many of which, by their nature, are inherently uncertain and outside AIG’s control. These projections, goals, assumptions and statements include statements preceded by, followed by or including words such as “believe,” “anticipate,” “expect,” “intend,” “plan,” “view,” “target” or “estimate”. It is possible that AIG’s actual results and financial condition will differ, possibly materially, from the results and financial condition indicated in these projections, goals, assumptions and statements. Factors that could cause AIG’s actual results to differ, possibly materially, from those in the specific projections, goals, assumptions and statements include: changes in market conditions; the occurrence of catastrophic events, both natural and man-made; significant legal proceedings; the timing and applicable requirements of any new regulatory framework to which AIG is subject as a non-bank systemically important financial institution and as a global systemically important insurer; concentrations in AIG’s investment portfolios; actions by credit rating agencies; judgments concerning casualty insurance underwriting and insurance liabilities; judgments concerning the recognition of deferred tax assets; and such other factors discussed in Part I, Item 2. Management’s Discussion and Analysis of Financial Condition and Results of Operations (MD&A) in AIG’s Quarterly Report on Form 10-Q for the quarterly period ended March 31, 2014 and in Part I, Item 1A. Risk Factors and Part II, Item 7. MD&A in AIG’s Annual Report on Form 10- K for the fiscal year ended December 31, 2013. AIG is not under any obligation (and expressly disclaims any obligation) to update or alter any projections, goals, assumptions or other statements, whether written or oral, that may be made from time to time, whether as a result of new information, future events or otherwise.
  2. 2. 3 The World of
  3. 3. 4 Our Future and Focus We’ll be there when our customers need us, helping them recover and realize their idea of a better tomorrow.
  4. 4. 5 We live in a world of profound change... Over 90% of the world’s data was created in the last 2 years
  5. 5. 6 AIG’s Global Transformation has... NEW HUMAN CAPITAL STRUCTURE NEW PROCESSES & TECHNOLOGY NEW SCIENCE & ANALYTICS Similar as they need to be, different as they have to be Standardization is not mutually exclusive of customization
  6. 6. 7 The model has changed CUSTOMIZATION STANDARDIZATION REGION COUNTRY LOB GLOBAL LOB COUNTRY
  7. 7. 8 Segmentation, matching severity with expertise, drives value CASUALTY EXPRESS MAJOR COMPLEX Multiple LOB
  8. 8. 9 We run a factory of decision makers TIME EXPRESS COMPLEX MAJOR
  9. 9. 10 AIG’s Global Transformation has... NEW HUMAN CAPITAL STRUCTURE NEW PROCESSES & TECHNOLOGY NEW SCIENCE & ANALYTICS
  10. 10. 11 Pivotal role of the Claims Adjuster Managing loss costs and providing feedback FRAUD MED  MGT SUBRO LIT  MGMT SALES U/W CUSTOMER ACTUARIAL CLAIMS ADJUSTER
  11. 11. 12 Expanding Shared Services Right Skill in the Right Place 2500 724 1652 2000 2000 0 2,000 4,000 6,000 8,000 10,000 2015 2014 2013 2012 < 2011 Claims and O&S employees transitioning to Shared Services
  12. 12. 13
  13. 13. 14 AIG’s Global Transformation has... NEW HUMAN CAPITAL STRUCTURE NEW PROCESSES & TECHNOLOGY NEW SCIENCE & ANALYTICS
  14. 14. 15 Using Science and analytics to better understand claims Severity Modeling Adjuster Performance AIG WayLeakage Prevention
  15. 15. 16 Claims Triage Model Mitigate risk, get people healthier, faster Route complex cases appropriately Identify dynamic pathways early INDEXED AVERAGE CLAIM COST ~57% of costs Less than 2% of costs
  16. 16. 17 Fraud Analytical Platform Model Referrals to Recovery PREDICTIVE MODELS MACHINE LEARNING LINK ANALYSIS PATTERN ANALYSIS RULE ENGINE/DECISION TREE EXTERNAL DATA WORKERS COMP FRAUD MODEL REFERRAL PERFORMANCE (HIT RATE) Claim
  17. 17. 18 Transformation manifests externally long after felt internally IDEATIONIDEATION PROTOTYPEPROTOTYPE IMPLEMENTATIONIMPLEMENTATION EXECUTIONEXECUTION RESULTSRESULTS TIME
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