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Efficiencies That
Drive
Experience
Anatola He
HyperScience
a@hyperscience.com
HyperScience 2
1 | Company Background
2 | Why We Are Here
3 | Case Studies
4 | Takeaways
HyperScience 3
I. Company Background
HyperScience 4
[ HyperScience ]
uses machine learning to automate office work.
HyperScience 5
We take this…
HyperScience 6
And turn it into this…
HyperScience 7
Data entry is still largely done by hand
HyperScience 8
Data entry is still largely done by hand
Reading text, especially handwriting requires a deep
understanding of language.

HyperScience 9
Data entry is still largely done by hand
Reading text, especially handwriting requires a deep
understanding of language.

Which is why, only doctors can read doctors’ handwriting
HyperScience 10
Scanning Sorting Keying Integration
HyperScience 11
Scanning Sorting Keying Integration
Mail rooms receive high volumes of incoming forms, where they are sorted and
scanned to create digital images of the forms.
HyperScience 12
Scanning Sorting Keying Integration
Forms then need to be identified and sorted into various types to send to the
appropriate processing teams.
We automatically identify and understand each type of incoming form, and sort
them accordingly before processing.
HyperScience 13
Scanning Sorting Keying Integration
Data entry teams receive the forms and spend significant time keying and rekeying the
submitted data. Manual keying is slow, expensive and error-prone.
We reduce the keying workload and increase throughput. Teams go from manually
keying every field on every form to only reviewing a subset of machine-entered fields.
HyperScience 14
Scanning Sorting Keying Integration
The data often needs to be scrubbed and formatted before going into a database
(especially if it comes from a variety of forms).
We understand that the same field can be called different things on different forms,
and conform the data to your database conventions.
HyperScience 15
Machine learning powers better data extraction.
HyperScience 16
HyperScience 17
We operate at the intersection of
the hard and the boring
HyperScience 18
It’s hard because this beyond
the cutting edge of AI
HyperScience 19
Golly gee today is the day
I’m going to work on forms
and document processing!!
“
”
And it’s pretty boring…
HyperScience 20
But it’s these boring spaces that are
often underserved and overlooked,
and therefore where there is often the
most opportunity

And it’s pretty boring…
HyperScience 21
II. Why We Are Here
HyperScience 22
Most companies are building or have built slick mobile apps
and various other portals for customers to access their
information
HyperScience 23
But they’re realizing it’s hard to
convince customers that they’re dealing
with a digital experience like these…
HyperScience 24
But they’re realizing it’s hard to
convince customers that they’re dealing
with a digital experience like these…
HyperScience 25
But they’re realizing it’s hard to
convince customers that they’re dealing
with a digital experience like these…
HyperScience 26
HyperScience 27
When the underlying processes that
power those platforms actually look like
this…
HyperScience 28
HyperScience 29
Serving your customers involves a tremendous amount
of manual work
That has several consequences for the quality of service
you are able to provide your customers…

HyperScience 30
Your customers are waiting for you… or something faster
#1 - It’s Slow
HyperScience 31
#2 - Manual Work Is Expensive
HyperScience 32
#2 - Manual Work Is Expensive
This is faster and cheaper.
HyperScience 33
#2 - Manual Work Is Expensive
Providing a higher level of service to your customers
for less money
HyperScience 34
#3 - Humans Are Error Prone
HyperScience 35
#3 - Humans Are Error Prone
…yeah, okay.
HyperScience 36
Clerical Errors Lead to Misunderstandings…
#3 - Humans Are Error Prone
• It’s annoying
• It’s Infuriating
• It’s possibly life-threatening (depending on
where the error was made)
• Customers feel unheard and misunderstood…
HyperScience 37
HyperScience 38
In Short…
When you serve your customers poorly, slowly,
and at a high price point, they will eventually
discover better options and want to leave.
HyperScience 39
In Contrast…
Some companies are embracing middle and
back office workflow enhancements in their
customer-centric digitization / automation strategy.
And are seeing benefits pop up in the customer
journeys that these workflows power behind the
scenes.
HyperScience 40
[ Faster ]
Cheaper
Better
HyperScience 41
Faster
[ Cheaper ]
Better
HyperScience 42
Faster
Cheaper
[ Better ]
HyperScience 43
III. Case Studies
HyperScience 44
[ Faster ]
HyperScience 45
[ Faster ]
➔ Eliminated and reduced backlogs
➔ Prioritization of high-value / high-urgency customers
➔ New business / product opportunities
➔ Faster turnaround time for quotes and decisions
HyperScience 46
[ Cheaper ]
HyperScience 47
[ Cheaper ]
➔ Reduction of ~70-90% of data keying related costs
➔ Rapid issuance of new policies
➔ Faster or instantaneous claims settlement
➔ More efficient / effective use of underwriters
HyperScience 48
[ Better ]
HyperScience 49
[ Better ]
➔ Optimize underwriting / pricing models
➔ Surface new loss recovery opportunities
➔ Match supply and demand / aggregate customers in novel ways
➔ Create products and incentives for lower risk customers
HyperScience 50
IV. Takeaways
HyperScience 51
1 | Prevailing practices masquerade as best practices
HyperScience 52
1 | Prevailing practices masquerade as best practices
2 | Rip & replace is not the only way to get value
HyperScience 53
1 | Prevailing practices masquerade as best practices
2 | Rip & replace is not the only way to get value
3 | Customer-centric initiatives span across departments
HyperScience 54
HyperScience 55
HyperScience 56
Thank You
a@hyperscience.com

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Efficiencies That Drive and Transform the Customer Experience