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August 3, 2016
How RPA and Advanced Capture are Improving
Customer Experience and Productivity in the Enterprise
o Please use the area in the right of your screen to
ask questions during the presentation
o 15 min. at the end of today’s webinar has been
reserved to answer user-submitted questions
o A recording of today’s presentation will be
provided following the webinar
Housekeeping Items
o Presenter Introductions (5-min)
o Forrester (20-min)
o Disruption, Automation, and Age Of The Customer
o Emerging Cognitive Landscape & Future Of Cubicle Employment
o RPA’s Role In Cognitive Development
o Advanced Capture Applications Support RPA and Cognitive Goals
o Captricity (20-min)
o Data-as-a-Service
o RPA for the Enterprise
o RPA in practice: Customer use cases
o Discussion and Q&A (15-min)
Today’s Agenda
Craig Le Clair, Vice President & Principal Analyst
Presenters
Brian Cox, Head of Insurance & Financial Services
© 2015 Forrester Research, Inc. Reproduction Prohibited 6
Agenda
› Disruption, Automation, and Age Of The
Customer
› Emerging Cognitive Landscape & Future Of
Cubicle Employment
› RPA’s Role In Cognitive Development
› Advanced Capture Applications Support RPA
and Cognitive Goals
© 2015 Forrester Research, Inc. Reproduction Prohibited 7
Empowered customers have given rise to a
new era
Age of distribution
Top retail financial services
firms and insurance providers
succeed with extensive
branch networks, thousands
of advisors and agents,
mergers for scale, and mass
advertising.
• Allianz
• Bank One
• Dean Witter
• MetLife
• NationsBank
• Prudential
• Smith Barney
Age of information
Substantial IT infrastructure
including networked computers
gives organizations the
transaction processing power
and economies of scale they
need to grow fast.
• Ameritrade
• Capital One
• Charles Schwab
• Direct Line
• HSBC
• ING Direct
• MBNA
• Progressive Insurance
• Visa
Age of the customer
Customer-obsessed firms
grow faster by spending more
on customer experience and
customer service.
• Ameriprise
• Credit unions
• Edward Jones
• Garanti
• mBank
• RBC Royal Bank
• USAA
• Vanguard
© 2015 Forrester Research, Inc. Reproduction Prohibited 8
Customer Experience Is A Work In Progress
For Insurers
Forrester “The Customer Experience Index, 2013”
© 2015 Forrester Research, Inc. Reproduction Prohibited 9
High-scoring customer experience companies far
outperform their peers
-3%
51%
78%
-20%
0%
20%
40%
60%
80%
100%
Customer experience
index laggards
Overall S&P
performance
Customer experience
index leaders
Forrester’s Customer Experience Index mapped
to S&P stock performance over last 7 years
Leaders outperformed
the market by 27% and
laggards by 81%
Source: Forrester Research, Watermark Consulting
Digital Disruption Is The New Strategic Risk
© 2015 Forrester Research, Inc. Reproduction Prohibited 11
Agenda
› Disruption, Automation, and Age Of The
Customer
› Emerging Cognitive Landscape & Future Of
Cubicle Employment
› RPA’s Role In Cognitive Development
› Advanced Capture Applications Support RPA
and Cognitive Goals
© 2015 Forrester Research, Inc. Reproduction Prohibited 12
Digitization Does Not Require A Big Workforce
2014
Acquisition Value: 19B
Employees At Acquisition: 55
Customers: 450M
2012
Acquisition Value: 1B
Employees At Acquisition: 13
Customer 30M
Apple: Market Cap. $1 trillion
Employees: 115,000
1964 – Four Most Valuable
Companies
AT&T: Employees: 758,611
GM: Employees: 660,977
Standard Oil Employees: 147,000
IBM 149,837
© 2015 Forrester Research, Inc. Reproduction Prohibited 14
Machine
Learning
Engagement
Capability
System
Orchestration
Predictive
Analytics
Business
Intelligence
RoboticsProcess
Automation
Routine Production
Services
CognitiveContinuum
NaturalLanguage
Processing
2. Human addresses
problem – text captured
and converted for machine
ingestion
1. Customer Hits
Portal Link For
Human Assistance
3. Active Learning
Points Prioritized
4. Machine Self
Adjusted
5. Machine extends
support capability
staticdynamic
Active Learning In A Customer Service Context
© 2015 Forrester Research, Inc. Reproduction Prohibited 16
Agenda
› Disruption, Automation, and Age Of The
Customer
› Emerging Cognitive Landscape & Future Of
Cubicle Employment
› RPA’s Role In Cognitive Development
› Advanced Capture Applications Support RPA
and Cognitive Goals
© 2015 Forrester Research, Inc. Reproduction Prohibited 17
What Is Robotics Process Automation
Robotic process automation (RPA) is the
application of technology that automates workflow
processes, primarily for administrative work. RPA
software can help automate large volumes of digital
manual-processing work.
© 2014 Forrester Research, Inc. Reproduction Prohibited 18
RPA – On The Tech Radar For Digitizing Operational
Processes
© 2015 Forrester Research, Inc. Reproduction Prohibited 19
RPA Addresses A Backlog Of Tactical Process Enhancements
› Productivity with be boosted with robotic process automation
(RPA)
• Targets are IT support, customer service agents and back-office work processes.
› API headaches for data integration are eliminated.
• RPA minimizes coding for building web services APIs to access a database or
legacy system.
› An alternative to the BPO labor arbitrage approach.
• Enterprise can avoid today’s BPO headaches, namely disruption due to shifting to
more optimal “labor” locations, the overhead attached to outsourcing, and
questions over quality and poor communications.
› An easy to consume pricing model.
• RPA is often priced as a fraction of the replaced staff person, as a robot license
that can be compared to
© 2015 Forrester Research, Inc. Reproduction Prohibited 20
An Alternative To "Big IT Spend" For Typical BPM Projects
› What can be done in RPA can be done with BPM. So
why use an RPA approach?
› It does not require invasive integration, changes to
underlying systems, and less change management.
› A “low touch” approach for process improvement for
brittle legacy systems.
› RPA appearing as workflow queues on BPM process
maps and “guardrails” for state transitions in case
management
© 2014 Forrester Research, Inc. Reproduction Prohibited 21
Create Your Own RPA Use Case Heat Map
© 2015 Forrester Research, Inc. Reproduction Prohibited 22
RPA Will Climb The Cognitive Scale
RPA today
© 2014 Forrester Research, Inc. Reproduction Prohibited 23
How To Find Your RPA Target
© 2015 Forrester Research, Inc. Reproduction Prohibited 24
Agenda
› Disruption, Automation, and Age Of The
Customer
› Emerging Cognitive Landscape & Future Of
Cubicle Employment
› RPA’s Role In Cognitive Development
› Advanced Capture Applications Support RPA
and Cognitive Goals
Mobile Capture Applications Will Accelerate
© 2015 Forrester Research, Inc. Reproduction Prohibited 26
Capture Silos Get In The Way Of Great
Experiences Across The Journey.
Discover
Ask
Use
Buy
Explore
Engage
“We don't know what a customer is getting. There are so many departments sending information out.
And then there's the quality issue. We also don't always know which communication is
important."(Senior architect, major utility company)
© 2015 Forrester Research, Inc. Reproduction Prohibited 27
RPA and Capture Can Help The Onboarding Process
Multi-channel
Customer Service
Poor Response
And Escalation
Mechanisms For
Issues
Presenting The
Right
Information To
Clients At The
Right Stage In
The Process
Collecting The
Right
Information
While
Maintaining
Customer
Experience
Re-keying Or
Wasted Time
Coordinating
Various Systems
Of Records, Core
Systems, And
Packaged Apps—
Each With Its
Own Record-
keeping Needs
Inability To Get A
Holistic View Of
Operational And
Other Data
Connecting With
The Institution
Via Digital
Channels
Operational
Reporting /Key
Performance
Indicators
Sales
Engagement
Data Gathering KYC
Deal
Configuration
Credit Risk
Closing and
Fulfilment
Too Many
Inconsistent
Internal User
Interfaces
Operational
Reporting /Key
Performance
Indicators
Customer Experience Operational Experience
Risk ScoringKYC,PEP,
MIFID &FACTA
Reporting
Account-Setup/
modifications
© 2012 Forrester Research, Inc. Reproduction Prohibited
Capture As A Service (CaaS) Will Replace Batch Capture
Systems
• Capture today is thought of as a large production and centralized
resource. defined as,
• A cross-LOB capability that asynchronously transforms content
• in real time to support work the optimal step in a work process
• Content likely to come from diverse channels, such as mobile devices in
the field or a customer’s hand, from an MFP in a branch office.
• Less and less will be mailed to the central location.
• CaaS will interact directly with a step in the transactional process.
• Pricing models that may disrupt age-old on-premise approach
28
© 2012 Forrester Research, Inc. Reproduction Prohibited
Page Analytics Has Many Practical Use Cases
• Techniques such as statistical analysis, machine learning, natural language
processing are now bringing text analytics closer to productive use cases.
• Information governance puts pressure on traditional capture.
• Page analytics can see if a contract is signed.
• PDF comparison can show the contract is only 92% the same ,
• Classification extending beyond basic metadata
One Pharma had an “unknown bucket” of 30 Million files that they needed to unravel and
classify. According to one EA, heavy duty analytics is cool but no one can get it to work, but
light analytics available are an immediate win .”
• Fraud detection remains a growth area for capture
• Just finding the right information is a big win
29
Contract Review For M&A Transactions lawyer
• Contract's require review by legal prior to M&A transactions for rights of
assignment, expiration, length, and other aspects that may affect company
value
• Contracts fed into “cognitive platform” that builds model and tags terms;
RPA takes over data entry and builds tables
– Able to review larger pool of contracts. For example: For a 500M
revenue company lawyers may review only 100 to 300 contracts of
the 5K to 10K available, multiple errors,
– Save 90% of time
– Reduction in errors
© 2015 Forrester Research, Inc. Reproduction Prohibited 31
Summary
› RPA and Cognitive Support Will Be a Strong
Enabler Of The Future
› Enterprises Should Expand Their View Of Capture
Or Be Left Behind More Agile And Forward
Thinking Competitors
› Both Must Be leveraged In New Ways To Meet
Age Of The Customer Requirements
GovernmentHealthInsurance & Financial Services
10 of the Top 20 U.S. Insurers
Customers
Non-Profit
• The majority of critical business
processes still rely on paper..
• Common practice is (still) to have
people TYPE information from paper
forms into downstream systems.
• Manual data entry process are error
prone, time consuming and expensive.
• Analytics teams unable to access the
most valuable legacy customer data
from documents.
Problems Insurers Face
• Applications Forms (new business)
• Change forms
• Claims forms
• Electronic payment authorizations
• Contract change requests
• Collateral forms
• Mortgage and banking forms
• Withdrawal forms
• Death certificates
Familiar Use Cases
Operational use cases involve process automation of workflows and eliminating manual entry.
Analytics use cases involve unlocking missing or unavailable data from legacy documents.
Robotic
Process
Automatio
n
(RPA)
Enrichmen
t
APIs
Data Package 1
RPAorDirect
CRM
Policy
Admin
Legacy
Applicatio
n
BI /
Analytics
Internal Systems
1.) Capture & Normalize 2.) Validate & Enrich 3.) Format & Deliver
Data as a Service (DaaS)
Self-Serve Monitoring & Compliance Dashboards
Upload
SFTP
API
Intake
Nanoservices
Voice
Web Forms External Web Services
Data Package 2
Information Types
Systems & Tools
Process
As-Is: New Business Document Processing
Imaging
Manual
Indexing
NIGO / IGO
Underwriting
Scanners
Doc Prep
Document
Repository
New Business
System
Policy Admin
System
Data Entry
Information Types
Systems & Tools
Process
With Captricity: New Business Document Processing
Imaging
NIGO / IGO
Underwriting
Scanners
Doc Prep
Document
Repository
New Business
System
Policy Admin
System
Captricity
Capture
Transform
Deliver
Captricity & Robotic Process Automation (RPA)
RPA
Bot as Data Delivery
• Sample of Business Data to SFDC for “Review and
Submit” process
• Process sample of bene data to customer backend
system without API
Bot as Validation and Enrichment
• Example: Enrich customer data with additional insights
to feed overall customer experience and targeted
marketing
Captricity Use Cases for RPA
RPA Workflow
Customer Stories
CHALLENGE:
No easy access to “cause of death” data from death
certificates, which are submitted along with death claims but
typically filed away without further analysis
SOLUTION:
Unlocked data from over one million documents. Enabled big-
data analytics for underwriting innovation and fraud detection.
Extracting Data from 1M+ Death Claims
Technical Challenges with Death Certificates
New York Life now has access to over 20 million new data points after digitizing ten years of legacy death certificates.
Expanding Across the Enterprise
Application Forms Payment AuthorizationsDeath Claims
Customer service efficiency, Analytics, Fraud detection
Value Delivered
Same-Day Turnaround
Time;
Time-to-Value <30 days
Cost Savings of 50% - 70%+;
Return on Investment <3-8 months
Enterprise-Grade
Security;
100% HIPAA Compliant
Infinite, Elastic Platform Scalability
Significant Data
Accuracy Improvement
(99.5%+, even on
handwriting)
Questions?
Thank You
Brian Cox
Insurance & Financial Services Group
Contact:
brian.cox@captricity.com

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Captricity + Forrester - RPA and Advanced Capture Webinar

  • 1. August 3, 2016 How RPA and Advanced Capture are Improving Customer Experience and Productivity in the Enterprise
  • 2. o Please use the area in the right of your screen to ask questions during the presentation o 15 min. at the end of today’s webinar has been reserved to answer user-submitted questions o A recording of today’s presentation will be provided following the webinar Housekeeping Items
  • 3. o Presenter Introductions (5-min) o Forrester (20-min) o Disruption, Automation, and Age Of The Customer o Emerging Cognitive Landscape & Future Of Cubicle Employment o RPA’s Role In Cognitive Development o Advanced Capture Applications Support RPA and Cognitive Goals o Captricity (20-min) o Data-as-a-Service o RPA for the Enterprise o RPA in practice: Customer use cases o Discussion and Q&A (15-min) Today’s Agenda
  • 4. Craig Le Clair, Vice President & Principal Analyst Presenters Brian Cox, Head of Insurance & Financial Services
  • 5.
  • 6. © 2015 Forrester Research, Inc. Reproduction Prohibited 6 Agenda › Disruption, Automation, and Age Of The Customer › Emerging Cognitive Landscape & Future Of Cubicle Employment › RPA’s Role In Cognitive Development › Advanced Capture Applications Support RPA and Cognitive Goals
  • 7. © 2015 Forrester Research, Inc. Reproduction Prohibited 7 Empowered customers have given rise to a new era Age of distribution Top retail financial services firms and insurance providers succeed with extensive branch networks, thousands of advisors and agents, mergers for scale, and mass advertising. • Allianz • Bank One • Dean Witter • MetLife • NationsBank • Prudential • Smith Barney Age of information Substantial IT infrastructure including networked computers gives organizations the transaction processing power and economies of scale they need to grow fast. • Ameritrade • Capital One • Charles Schwab • Direct Line • HSBC • ING Direct • MBNA • Progressive Insurance • Visa Age of the customer Customer-obsessed firms grow faster by spending more on customer experience and customer service. • Ameriprise • Credit unions • Edward Jones • Garanti • mBank • RBC Royal Bank • USAA • Vanguard
  • 8. © 2015 Forrester Research, Inc. Reproduction Prohibited 8 Customer Experience Is A Work In Progress For Insurers Forrester “The Customer Experience Index, 2013”
  • 9. © 2015 Forrester Research, Inc. Reproduction Prohibited 9 High-scoring customer experience companies far outperform their peers -3% 51% 78% -20% 0% 20% 40% 60% 80% 100% Customer experience index laggards Overall S&P performance Customer experience index leaders Forrester’s Customer Experience Index mapped to S&P stock performance over last 7 years Leaders outperformed the market by 27% and laggards by 81% Source: Forrester Research, Watermark Consulting
  • 10. Digital Disruption Is The New Strategic Risk
  • 11. © 2015 Forrester Research, Inc. Reproduction Prohibited 11 Agenda › Disruption, Automation, and Age Of The Customer › Emerging Cognitive Landscape & Future Of Cubicle Employment › RPA’s Role In Cognitive Development › Advanced Capture Applications Support RPA and Cognitive Goals
  • 12. © 2015 Forrester Research, Inc. Reproduction Prohibited 12
  • 13. Digitization Does Not Require A Big Workforce 2014 Acquisition Value: 19B Employees At Acquisition: 55 Customers: 450M 2012 Acquisition Value: 1B Employees At Acquisition: 13 Customer 30M Apple: Market Cap. $1 trillion Employees: 115,000 1964 – Four Most Valuable Companies AT&T: Employees: 758,611 GM: Employees: 660,977 Standard Oil Employees: 147,000 IBM 149,837
  • 14. © 2015 Forrester Research, Inc. Reproduction Prohibited 14
  • 15. Machine Learning Engagement Capability System Orchestration Predictive Analytics Business Intelligence RoboticsProcess Automation Routine Production Services CognitiveContinuum NaturalLanguage Processing 2. Human addresses problem – text captured and converted for machine ingestion 1. Customer Hits Portal Link For Human Assistance 3. Active Learning Points Prioritized 4. Machine Self Adjusted 5. Machine extends support capability staticdynamic Active Learning In A Customer Service Context
  • 16. © 2015 Forrester Research, Inc. Reproduction Prohibited 16 Agenda › Disruption, Automation, and Age Of The Customer › Emerging Cognitive Landscape & Future Of Cubicle Employment › RPA’s Role In Cognitive Development › Advanced Capture Applications Support RPA and Cognitive Goals
  • 17. © 2015 Forrester Research, Inc. Reproduction Prohibited 17 What Is Robotics Process Automation Robotic process automation (RPA) is the application of technology that automates workflow processes, primarily for administrative work. RPA software can help automate large volumes of digital manual-processing work.
  • 18. © 2014 Forrester Research, Inc. Reproduction Prohibited 18 RPA – On The Tech Radar For Digitizing Operational Processes
  • 19. © 2015 Forrester Research, Inc. Reproduction Prohibited 19 RPA Addresses A Backlog Of Tactical Process Enhancements › Productivity with be boosted with robotic process automation (RPA) • Targets are IT support, customer service agents and back-office work processes. › API headaches for data integration are eliminated. • RPA minimizes coding for building web services APIs to access a database or legacy system. › An alternative to the BPO labor arbitrage approach. • Enterprise can avoid today’s BPO headaches, namely disruption due to shifting to more optimal “labor” locations, the overhead attached to outsourcing, and questions over quality and poor communications. › An easy to consume pricing model. • RPA is often priced as a fraction of the replaced staff person, as a robot license that can be compared to
  • 20. © 2015 Forrester Research, Inc. Reproduction Prohibited 20 An Alternative To "Big IT Spend" For Typical BPM Projects › What can be done in RPA can be done with BPM. So why use an RPA approach? › It does not require invasive integration, changes to underlying systems, and less change management. › A “low touch” approach for process improvement for brittle legacy systems. › RPA appearing as workflow queues on BPM process maps and “guardrails” for state transitions in case management
  • 21. © 2014 Forrester Research, Inc. Reproduction Prohibited 21 Create Your Own RPA Use Case Heat Map
  • 22. © 2015 Forrester Research, Inc. Reproduction Prohibited 22 RPA Will Climb The Cognitive Scale RPA today
  • 23. © 2014 Forrester Research, Inc. Reproduction Prohibited 23 How To Find Your RPA Target
  • 24. © 2015 Forrester Research, Inc. Reproduction Prohibited 24 Agenda › Disruption, Automation, and Age Of The Customer › Emerging Cognitive Landscape & Future Of Cubicle Employment › RPA’s Role In Cognitive Development › Advanced Capture Applications Support RPA and Cognitive Goals
  • 25. Mobile Capture Applications Will Accelerate
  • 26. © 2015 Forrester Research, Inc. Reproduction Prohibited 26 Capture Silos Get In The Way Of Great Experiences Across The Journey. Discover Ask Use Buy Explore Engage “We don't know what a customer is getting. There are so many departments sending information out. And then there's the quality issue. We also don't always know which communication is important."(Senior architect, major utility company)
  • 27. © 2015 Forrester Research, Inc. Reproduction Prohibited 27 RPA and Capture Can Help The Onboarding Process Multi-channel Customer Service Poor Response And Escalation Mechanisms For Issues Presenting The Right Information To Clients At The Right Stage In The Process Collecting The Right Information While Maintaining Customer Experience Re-keying Or Wasted Time Coordinating Various Systems Of Records, Core Systems, And Packaged Apps— Each With Its Own Record- keeping Needs Inability To Get A Holistic View Of Operational And Other Data Connecting With The Institution Via Digital Channels Operational Reporting /Key Performance Indicators Sales Engagement Data Gathering KYC Deal Configuration Credit Risk Closing and Fulfilment Too Many Inconsistent Internal User Interfaces Operational Reporting /Key Performance Indicators Customer Experience Operational Experience Risk ScoringKYC,PEP, MIFID &FACTA Reporting Account-Setup/ modifications
  • 28. © 2012 Forrester Research, Inc. Reproduction Prohibited Capture As A Service (CaaS) Will Replace Batch Capture Systems • Capture today is thought of as a large production and centralized resource. defined as, • A cross-LOB capability that asynchronously transforms content • in real time to support work the optimal step in a work process • Content likely to come from diverse channels, such as mobile devices in the field or a customer’s hand, from an MFP in a branch office. • Less and less will be mailed to the central location. • CaaS will interact directly with a step in the transactional process. • Pricing models that may disrupt age-old on-premise approach 28
  • 29. © 2012 Forrester Research, Inc. Reproduction Prohibited Page Analytics Has Many Practical Use Cases • Techniques such as statistical analysis, machine learning, natural language processing are now bringing text analytics closer to productive use cases. • Information governance puts pressure on traditional capture. • Page analytics can see if a contract is signed. • PDF comparison can show the contract is only 92% the same , • Classification extending beyond basic metadata One Pharma had an “unknown bucket” of 30 Million files that they needed to unravel and classify. According to one EA, heavy duty analytics is cool but no one can get it to work, but light analytics available are an immediate win .” • Fraud detection remains a growth area for capture • Just finding the right information is a big win 29
  • 30. Contract Review For M&A Transactions lawyer • Contract's require review by legal prior to M&A transactions for rights of assignment, expiration, length, and other aspects that may affect company value • Contracts fed into “cognitive platform” that builds model and tags terms; RPA takes over data entry and builds tables – Able to review larger pool of contracts. For example: For a 500M revenue company lawyers may review only 100 to 300 contracts of the 5K to 10K available, multiple errors, – Save 90% of time – Reduction in errors
  • 31. © 2015 Forrester Research, Inc. Reproduction Prohibited 31 Summary › RPA and Cognitive Support Will Be a Strong Enabler Of The Future › Enterprises Should Expand Their View Of Capture Or Be Left Behind More Agile And Forward Thinking Competitors › Both Must Be leveraged In New Ways To Meet Age Of The Customer Requirements
  • 32.
  • 33. GovernmentHealthInsurance & Financial Services 10 of the Top 20 U.S. Insurers Customers Non-Profit
  • 34. • The majority of critical business processes still rely on paper.. • Common practice is (still) to have people TYPE information from paper forms into downstream systems. • Manual data entry process are error prone, time consuming and expensive. • Analytics teams unable to access the most valuable legacy customer data from documents. Problems Insurers Face
  • 35. • Applications Forms (new business) • Change forms • Claims forms • Electronic payment authorizations • Contract change requests • Collateral forms • Mortgage and banking forms • Withdrawal forms • Death certificates Familiar Use Cases Operational use cases involve process automation of workflows and eliminating manual entry. Analytics use cases involve unlocking missing or unavailable data from legacy documents.
  • 36. Robotic Process Automatio n (RPA) Enrichmen t APIs Data Package 1 RPAorDirect CRM Policy Admin Legacy Applicatio n BI / Analytics Internal Systems 1.) Capture & Normalize 2.) Validate & Enrich 3.) Format & Deliver Data as a Service (DaaS) Self-Serve Monitoring & Compliance Dashboards Upload SFTP API Intake Nanoservices Voice Web Forms External Web Services Data Package 2
  • 37. Information Types Systems & Tools Process As-Is: New Business Document Processing Imaging Manual Indexing NIGO / IGO Underwriting Scanners Doc Prep Document Repository New Business System Policy Admin System Data Entry
  • 38. Information Types Systems & Tools Process With Captricity: New Business Document Processing Imaging NIGO / IGO Underwriting Scanners Doc Prep Document Repository New Business System Policy Admin System Captricity Capture Transform Deliver
  • 39. Captricity & Robotic Process Automation (RPA) RPA
  • 40. Bot as Data Delivery • Sample of Business Data to SFDC for “Review and Submit” process • Process sample of bene data to customer backend system without API Bot as Validation and Enrichment • Example: Enrich customer data with additional insights to feed overall customer experience and targeted marketing Captricity Use Cases for RPA
  • 43. CHALLENGE: No easy access to “cause of death” data from death certificates, which are submitted along with death claims but typically filed away without further analysis SOLUTION: Unlocked data from over one million documents. Enabled big- data analytics for underwriting innovation and fraud detection. Extracting Data from 1M+ Death Claims
  • 44. Technical Challenges with Death Certificates New York Life now has access to over 20 million new data points after digitizing ten years of legacy death certificates.
  • 45. Expanding Across the Enterprise Application Forms Payment AuthorizationsDeath Claims Customer service efficiency, Analytics, Fraud detection
  • 46. Value Delivered Same-Day Turnaround Time; Time-to-Value <30 days Cost Savings of 50% - 70%+; Return on Investment <3-8 months Enterprise-Grade Security; 100% HIPAA Compliant Infinite, Elastic Platform Scalability Significant Data Accuracy Improvement (99.5%+, even on handwriting)
  • 48. Thank You Brian Cox Insurance & Financial Services Group Contact: brian.cox@captricity.com