captricity + forrester - rpa and advanced capture webinar
TRANSCRIPT
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 distributionTop 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 informationSubstantial 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 customerCustomer-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
-20%20%60%
100%
-3% 51%78%
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
2014Acquisition Value: 19B Employees At Acquisition:
55Customers: 450M
2012Acquisition Value: 1B
Employees At Acquisition: 13
Customer 30M
Apple: Market Cap. $1 trillion
Employees: 115,000
1964 – Four Most Valuable Companies
AT&T: Employees: 758,611GM: 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 AnalyticsBusiness
Intelligence
Robotics Process Autom
ation
Routine Production Services
Cogn
itive
Con
tinuu
m Natural Language
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
stat
ic
dy
nam
ic
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
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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
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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
AskUse Buy
ExploreEngage
“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
InterfacesOperational
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
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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
Automation(RPA)
EnrichmentAPIs
Data Package 1
RPA
or D
irect
CRM
Policy Admin
LegacyApplication
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
ScannersDoc Prep
DocumentRepository
New BusinessSystem
Policy AdminSystem
Data Entry
Information Types
Systems & Tools
Process
With Captricity: New Business Document Processing
Imaging
NIGO / IGO
Underwriting
ScannersDoc Prep
DocumentRepository
New BusinessSystem
Policy AdminSystem
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 YouBrian CoxInsurance & Financial Services Group
Contact:[email protected]