Discover how leading insurers including New York Life are scaling data capture and automated digitization capabilities across their businesses to unlock key insights from customer data generated by complex paper forms. Learn how insurance organizations are leading the charge to improve data quality, reduce costs and expedite turnaround times while unlocking the power of big data.
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Insurance Organizations Need Access to Good Data Before They Can Benefit from BIG Data
1. Unlocking the Data from Paper Forms
Insurance Organizations Need Access to Good Data
Before They Can Benefit from BIG Data
2. Introductions By Host and Moderator – Ron Clark
Ron is editor and publisher of the award-winning Resource magazine,
the official publication of LOMA, the international association for life insurers
and related financial services companies. The magazine is distributed to over
14,000 insurance officials at LOMA member companies. Resource covers
management and operations of the industry, including technology,
service, financial, human resources and company strategy.
Presentation
• Paper Vs. Paperless: A False Dichotomy
• Data as a Service
• Product Demo
• How Captricity Works
• Customer Stories
Q&A
Agenda
3. Guest Speaker
Brian Cox
Head of Insurance Partnerships, Captricity
Brian Cox currently serves as Director of Industry Sales at Captricity
and 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 with insurance and financial
services companies in the New York area representing IBM's
information management solutions. Brian’s career has led to an
intimate understanding of business-critical processes and the
technology solutions that many of the top insurance companies
leverage to increase operational efficiencies and enhance their
overall customer experience.
4.
5. Paper v. Paperless is a False Dichotomy
• Paper is still often the
best tool for the job
• Critical workflows
require non-disruptive
onramps
6. We Serve Those That Serve Everyone
Government Healthcare Captricity.orgInsurance
11. What we are NOT…
o NOT an “OCR” engine
• Captricity’s 99.9% accuracy and self-serve tools
can be deployed anytime, anywhere
o NOT an outsourced operation
• Enables employees to focus on mission and increased profits,
not menial data entry
o NOT another big on-premise investment
• Cloud service: faster time-to-value and higher ROI
• Scalable, on-demand cloud platform provides flexibility to meet your needs
13. Improved Underwriting – Risk Management
(2 top-10 U.S. life insurers)
Challenges
• Need for better mortality models
• Necessary data resides only in
document images
• Alternatives require expensive
consultants
• Advanced analytics teams lacked data
access
Solution
• Cloud-native platform auto-scales to
handle large volumes of legacy
documents
• Extracted data from multitude of
historical templates
• Cost savings of $1M+ within first 12-
mo.
• Enabled big-data analytics
14. Automation of Business Reply Card Processing
Challenges
• 100’s of BRC templates and versions
• Poor data quality (~90%)
• Slow turnaround times (days)
• Manual process was expensive
and difficult to scale
Solution
• Self-serve setup tools
• Improved accuracy to 99%+
• Improved turnaround time to hours
• 50%+ cost savings
• Directly integrated into legacy
backend DB
15. Application Forms Death CertificatesPayment Authorizations
Iterative Approach: One Workflow at a Time
16. Automating Medical Claim + Service Forms Processing
(Top 5 P&C insurer)
Challenges
• Volume outpacing throughput capacity
• Errors in manual process causing
rework
• Slow turnaround = poor customer
experience
• Analytics team lacked access to
critical customer data
Solution
• Cloud-native SaaS model scales with
business need
• Replace manual outsourced
operations
• Reduced turnaround time in half
• Unlocked actionable data for fraud
detection
17. Higher
Data Quality
99%+ accuracy for
handwritten and/or
typed forms
Better
Value
50% less
expensive than
existing solutions
Improved
Productivity
Reallocate resources
for higher-value
activities
Faster
Time-to-Value
Scalable SaaS model,
self-serve setup, improved
customer response times
Why Captricity?
18. Questions?
1.415.237.FORM | @captricity | captricity.com/resources | captricity.org
To schedule a demo, please contact us
via Captricity.com or email: brianc@captricity.com
Editor's Notes
When I looked up from my dissertation… problem everywhere
Infamous image of the VA backlog of benefits claims.
Each packet is a person, an injured veteran
600k data driven decisions unmade
What happened?
They thought, to go digital, you had to go paperless
Thus focused on process change
VBMS… rip/replace…
Paper workflows are hard to change - "act of congress”…
paper best tool / web forms don’t work for vets without internet
What if paper coexist w having digital data
What if for the VA, we also focus on data access instead of process change
Many orgs share the same love/hate paper, w VA + Dr Emma’s clinic
Insurance co too: imagine your mother, or grandma making a claim
In common: mandate/mission to serve everyone
For them, paper is critical part of multi-channel engagement
Captricity serves these orgs/everyone… to give data access…
Our theory of change: embrace paper to go digital
We have 40% of top 10 us insurers
BC – message here is “we allow our customers to focus on analyzing data … not worrying about how to access it or where to look for it”
Multi-channel in (all the hard channels) / Actionable data out
Crowd-guided deep learning
99%+ Accuracy w unconstrained handwriting
Dynamic Scaling
Paper workflows auto driving digital workflows, straight through
Whenever crowd or cloud mentioned, security concerns.
Core engine shredder named after the office appliance...
Approved and used in product in F100, and 3 agencies in the F1
CMS 1500 claim form
Self serve setup: scaling to hundreds of form types
Data integration: ACORD export, APIs
Exception handling: data repair
I often get the question: is this OCR? Outsourcing? Big IT project?
At a couple other life insurers, help to address a top of mind concern in mortality modeling
...
What I tell my friends running other big data companies: we are big data to create small data to enable big data.
Started at top of funnel… BRC fall out of magazine…
normalize hundreds of versions into single data stream…
proud of integration: orgs/everyone have legacy backend apps
Our success led to rapid expansion to highest volume forms
New biz: TAT, NIGO. New father...
Inforce: accuracy, multi-channel
Death certificates.
Held a contest to design a strategy for rolling out Cap to 250+ workflows
At another major insurer, business units competing to impl first.
Better mortality models at Life Cos