This presentation defines today's role of RPA in the Enterprise - specifically cognitive technology - and outlines best practices for process discovery, workforce assessment, and technology management for improved customer experience.
Enterprises, in their quest to reduce operational costs and deliver a better customer experience, are applying automation technologies including Robotic Process Automation (RPA), content analytics, and cognitive platforms. Yet, they do not have a well-defined set of principles and best practices.
In this webinar, guest Forrester speaker, VP, Principal analyst Craig Le Clair, will present the seven predictions for enterprise capture applications which include:
1.) How digital acceleration pushes the limits of today's capture solution, 2.) How Data as a Service (DaaS) will alter enterprise capture road maps, and 3.) How cognitive capture sets the tone for the future... just to name a few.
About the Presenters:
Craig Le Clair, Vice President & Principal Analyst
Craig is an internationally recognized expert in helping companies transform from manual and analogue-based processes to the mobile and digital world. Technology areas include enterprise social platforms, dynamic case management, enterprise content management, electronic signature, multichannel capture, and customer communications management.
Brian Cox, Head of Insurance & Financial Services, Captricity
Brian is responsible for the success of Captricity's partners in the insurance and financial services sectors. Prior to Captricity, Brian spent seven years at IBM working in the New York area representing IBM's information management solutions.
For more information please visit: www.captricity.com!
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
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
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.
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
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)