UiPath Document UnderstandingGet documents processed intelligently

April 2021

3

This presentation may include forward-looking statements. Forward looking statements include all statements that are not historical facts, and in some cases, can be identified by terms such as “anticipate,” “believe,” “estimate,” “expect,” “intend,” “may,” “might,” “plan,” “project,” “will,” “would,” “should,” “could,” “can,” “predict,” “potential,” “continue,” or the negative of these terms, and similar expressions that concern our expectations, strategy, plans or intentions. By their nature, these statements are subject to numerous risks and uncertainties, including factors beyond our control, that could cause actual results, performance or achievement to differ materially and adversely from those anticipated or implied in the statements. Although our management believes that the expectations reflected in our statements are reasonable, we cannot guarantee that the future results, levels of activity, performance or events and circumstances described in the forward-looking statements will be achieved or occur. Recipients are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date such statements are made and should not be construed as statements of fact.

This meeting is strictly confidential. By participating in this meeting, you agree to keep any information we provide confidential and not to disclose any of the information to any other parties without our prior express written permission. Neither the information contained in this presentation, nor any further information made available by us or any of our affiliates or employees, directors, representatives, officers, agents or advisers in connection with this presentation will form the basis of or be construed as a contract or any other legal obligation.

Safe Harbor

Document processing:

challenges & solutions

5

Document processing is a core of RPA. Why?

One of the main promises

of process automation is

freeing up data trapped

in documents

There is no company in

the world which does not

deal with documents,

especially in the industries

like banking, finance,

insurance, manufacturing,

HR, public sector

Any selling process

involves repetitive

document processing

(accounts payable &

receiving, invoices, receipts,

purchase orders, shipment

tracking)

6

35%cost reduction

compared to manual

document

processing

17%reduction in time

employees spend on

document

processing

40%increase in

employee

productivity or

customer satisfaction

52%decrease in errors

that mitigates the

risk of rework and

related losses

Why would you automate document processing?

7

Document processing can be a

Manually extract, interpret, act upon

Variety of document types and quality

Human error, rework, losses

Cost and time consuming

Lack of end-to-end complex solutions

challenge

8

Manually extract, interpret, act upon

Variety of document types and quality

Human error, rework, losses

Cost and time consuming

Lack of end-to-end complex solutions

Delegation to robots understanding documents with AI

Processed automatically despitedocument structure, volume, or quality

Accurate and fast document processing

Cost and time efficiency

End-to-end solution powered by AI

Document processing can be a solution

9

What is document understanding?

Not

OCR

Not

Computer

Vision

Document understanding is the ability to extract and interpret information and meaning from a wide range of documents.

It emerges at the intersectionof document processing, AI, and RPA.

Introducing UiPath

Document

Understanding

11

Get documents processed

intelligently

12

Get documents processed intelligently

Teach robots how to process your documents using intelligent drag-and-drop skills

for data extraction and interpretation

AI understands documents,

takes actions, and learns

from the data

Getting rid of the “noise”

caused by unrelated, rotated,

or skewed documents

Saving time and costs

with seamless end-to-end

automation

Processing a wide range of

documents and layouts,

handwriting, checkboxes

Mix of template and

template-less approaches

for most accurate results

Machine learning (ML) skills

improve over time

based on the custom data

INTELLIGENTFLEXIBLE

ACCURATE EFFICIENT

13

Let robots take on document processing routine

Extract and interpret data from structured documents (different forms,

passports, licenses, time sheets, etc.) that can contain handwritten text,

signatures, checkboxes.

Extract data from semi-structured documents containing fixed and variable

parts like tables. Samples of semi-structured documents are invoices,

receipts, purchase orders, medical bills, bank statements, utility bills, etc.

Analyze and extract data from complex unstructured documents like

various contracts, agreements, emails, disease descriptions, drug

prescriptions, news, voice scripts, etc.

Leverage human knowledge to process the data from documents by

robots that use AI to understand and act upon the extracted content.

14

Every company in the world processes documents

GeneralFinancial Services

& Insurance

Human

Resources

(HR)

Manufacturing Public Sector Healthcare

• Invoice

• Receipt

• Purchase

Order

• Utility bill

• Bill of

Landing

• Passport

• License

• Accounts Payable

& Accounts

Receivable

• IRS form

• Loan application

• Mortgage

processing

• Account opening

and customer

onboarding

• Claims

processing

• Vendor

onboarding

• Compliance-

related processes

• Employee

onboarding

• Resume

screening

• HR records

processing

• Sales order

processing

• Customer

parts

request

• Remittance

processing

• Immigration

application

• School

application

• Passport

management

application

• Medical

forms

• Medical bills

• Health

records

• Drug

prescriptions

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Higher

efficiency

Save time and costs

spent on paperwork

with easy to deploy

and maintain

automations

Automating document processing leads to…

Accelerated

productivity

Automate highly-

manual document

processing tasks to

accelerate

productivity rates

Better customer

experience

Mitigate the risk of

errors and decrease

the response time to

deliver better

customer experience

Happier

employees

Help employees

escape from the

mundane chores

and focus on higher-

value tasks

16

“Respondents across all industries said content intelligence

technologies enabled several key corporate initiatives, including

employee engagement, customer engagement, work

transformation, and overall digital transformation.”

Holly Muscolino

International Data Corporation (IDC)

17

UiPath Document Understanding webpage ← for trial and more

resources

How AI Can Continuously Improve and Scale Automations (webinar with

customers sharing case studies)

AI Coming to the Rescue: Accurate Document Processing at Scale

(product deep-dive webinar, February 2021)

Guide on Document Understanding (white paper)

Academy training

Documentation on Document Understanding

AI & RPA webpage

Where can you find out more?

Success stories from

our customers and

partners

19

Challenge

• Evros Finance team spend 20 hours a week manually processing up to

1,600 to 1,800 purchase invoices a month.

• Manual, repetitive, and time-consuming document processing led to

overall a poor use of the team’s time.

• They wanted an automated solution that could scale with the business.

Solution

• Mapped the business process to automated approach

• Built and trained the data models for the key suppliers

• Setup & configured UiPath Document Understanding

• Designed & implemented the integrations with Outlook & Microsoft NAV

(Evros financial system)

• Continuous improvement with machine learning (ML)

• Human involvement when required

21,000About 21,000 invoices per year

80%80% improvement in time savings

6-8 weeksSpent on retraining to increase

accuracy from 60% to 80%

80%Accuracy that is still improving over

time with automatic retraining

• Important considerations

Each individual customer/client has their individual invoice

template

• There were other document types mixed into the start of the

process that would need to be filtered out (e.g. credit notes etc)

• Each invoice was printed, reviewed, and stored for audit

purposed as part of the manual process. Needed to consider a

new storage approach

IT managed services and

system integration

Location: Ireland

Size: SME

Finance purchase invoice processing

Challenge

• Evros Finance team spend 20 hours a week manually processing up to

1,600 to 1,800 purchase invoices a month.

• Manual, repetitive, and time-consuming document processing led to

overall a poor use of the team’s time.

• They wanted an automated solution that could scale with the business.

Link to the case study

20

7000 invoices processed monthly

45 seconds avg invoice processing time

160+ hours saved monthly

90%+ straight through processing

• Required a custom "Bill of Lading" field to

be trained

• Starting with out-of-the-box ML model

significantly reduced effort

• 6 weeks development + 6 weeks model

trainingFuel invoice

processing

Retail: Fuel invoice processing

Customer:

Wholesale Club

Link to the case study

21

200-250 training data setsthat are representative of production population is core to

building successful ML models

SME education/trainingneeded for SMEs to learn how to prepare data sets

2-3 minutesare needed to tag 1 document with 12 elements

~40% time savedwith 400 docs model training in GPU (10 hours) compared to

CPU (17 hours)

2-4 weeksfrom first cutover to production with expected confidence

levels

Why UiPath Document Understanding?• Out-of-the-box ML model for invoice processing

• Built-in integrations with OCR engines including UiPath Document OCR

and Omnipage OCR

• Action Center for human validation

Challenge

• NY based healthcare provider has 500+ suppliers dealing with frequent

returns/cancellations of orders thus leading to process monthly 800+ credit

memos (reverse invoices) in PeopleSoft ERP

• Accounts team manually processes suppliers credit memos and makes

credit adjustments against the PO in ERP

• Involves number of business validation including the data comparison

between document and ERP

• On average, manual processing takes about 8 minutes

Why automate?

• Timely adjustment of credit amount on Purchase Orders (PO) enables

efficient working capital

• Avoid manual errors with AI automation to address more complex scenarios

Types of documents

• 65% semi-structured scanned

• 20% structured

• 5% semi-structured scanned

handwritten

• 10% digital PDFs

Healthcare provider Location: USA

Automation of credit adjustment on purchase order

Link to the case study

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Why UiPath Document Understanding?• Automated redaction of PII and PHI coverage

• Continuous improvement with ML Learning

• US-based operations for production support

• Human validation if required

Challenge

• Customer has compliance needs to redact

documents before transmission to third

parties to validate patient claims

• Time-consuming process when done

manually

Location: USA

Redaction of documents

Types of documents

• 10-page documents on average

• Important considerations

• Prioritize top 5 document types

covering 80% of the documents

• 10-11 PII fields + list of medical terms

considered as scope for redaction

• Human to review 100% redactions to

begin with and reducing over time

(move from attended assistance to

STP path)

Link to the case study

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INDUSTRIES

Accounts Payable invoice

processing results:

• Increased operational excellence

• Reduced average hold time (AHT)

• SLAs are met for all invoices

• Reduced # errors vs. manual work

• UiPath robot is used to speed up the

supplier invoice processing by leveraging

UiPath AI solutions like Document

Understanding and Action Center.

Finance: Invoice processing

Customer:

Document Understanding

Product Deep-Dive

25

UiPath Document Understanding and RPA platform

Automation

Hub

Process

Mining

Task

Mining Studio

Family

Test

Manager

Chatbots

Action

Center

Assistant

DISCOVER

ENGAGE

BUILD

Document

Understanding

Marketplace

and

Integrations

AI Center

Orchestrator

Apps

Task

Capture

Insights

MANAGE

RUN

GOVERN

MEASURE

Robots

Studio

Robots

Orchestrator

AI Center

Action Center

• Pre-trained models available out of the box

• Bring your own model – custom or 3rd party

• Retrain the models

• Core RPA tools

• Human validation

26

Document Understanding Framework

Load taxonomy

to define document types

and fields

Digitize

documents using OCR to make them machine-

readable

Export

the extracted

data for further

usage

Extract

information from the

documents

Validate

extraction results (human

review)

Train

extractors

based on the

validated data

Classify

and split the files

into document

types

Validate

classification results (human

review)

Train

classifiers

based on the

validated data

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Load taxonomy

Taxonomy manager is

used once at the start to

define the collection of

documents that you

would want to process.

Additionally, you can

describe what data you

would like to extract.

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Move-For-You Co.

We move so you don’t need to move

PO: NP74006735

1 February 2020

PAYABLE WITHIN 15 DAYS OF RECEIPT

20800 ALMADEN AVE, SUITE 404

SAN JOSE, CA 95120-0520

T: +1 425 555 9876

F: +1 425 555 3456

E: billing@moveforyou-co.com

www.moveforyou-co.com

Bill To:

Tony Tzeng

12345 Mango Lane

Seattle, WA 98108

INVOICE DETAILS

Packing services

Storage fees (1 month)

House move (white-glove service)

Vehicle storage and transport

Sales tax 10%

Total Fee including Tax

FEE

$1,282.00

$1,884.00

$5,320.00

$5,186.00

$1,367.20

$15,039.20

Methods of payment

Personal Check: Move-For-You LLC

Wire Transfer: BigBank Co., Account 123456789-0987ABC

Invoice No: 456200-TZE1

Digitize text in the documents using OCR

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Classify and split the documents

Multi-page

document

______

______

______

______

______

Invoice

______

______

______

Purchase

order

______

______

Receipt

______

______

______

______

______

______

______

_____

______

______

______

______

_____

Unrelated

documents

______

______

Documents scanned into one

file isn’t a problem – owing to

classifiers, the robot can identify

the document types and split the

file to process the documents

accordingly.

Document Understanding offers

different classification capabilities

ranging from keyword-based to

ML-based classification.

30

Validate classification of the documents

Classification Station is

used to check, correct,

and confirm the results of

document classification

and splitting.

31

Extract information from the document

You can easily configure

data extraction to choose

most suitable extractor

for each field.

Use a combination of rule-

based and model-based

approaches to ensure

smooth and accurate

processing of different

documents.

32

Data extraction – from rules to AI to a hybrid approach

RegEx-Based

ExtractorMachine Learning

Extractor

Intelligent Form

Extractor

Form

Extractor

A combination of both –

rule-based and model-based extractors

Rule-based Model-based

Hybrid approach

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Rule-based or template-based approach

Relies on rules (like regular

expressions) and templates

(including anchors)

Processes fixed in format

structured data

Ensures high accuracy for

already known documents

34

Machine learning (ML) models as a template-less approach

Pre-trained ML models

• Invoices

• Invoices for Australia, India, Japan

• Receipts

• Purchase Orders*

• Utility Bills*

• Contracts**

Bring your own model

• Create new custom model

• Third-party models

Model retraining

• AI Center

• Data Manager

• Validation Station

* in public preview

** to be released to public preview in 21.4

Learn about sharing data for model retraining here.

35

Make use of pre-trained ML

models to process invoices,

receipts, utility bills, purchase

orders, contracts (more

models coming soon).

Bring your own model or

3rd party models and

incorporate them in your

automations.

Retrain the models to

improve their accuracy over

time!

Pre-trained ML models

36

ML model training via AI Center

You can use Data Manager to

train your custom ML models

or retrain the existing models

in AI Center. This would help

robots understand the

specificities of your

documents better. The more

you work with the model, the

more effective it becomes.

Thus, the accuracy of the

extracted data improves over

time.

Learn about sharing data for model retraining here.

37

Validate the extracted

Information and handle

exceptions using

Validation Station.

Now, ML models can also

be retrained using the data

confirmed or corrected in

the Validation Station.

Validate extraction results

38

Let the classifiers and

extractors learn from the

data corrected and

validated in the

Classification Station and

Validation Station

respectively.

Train classifiers and extractors

Learn about sharing data for model retraining here.

39

Export the extracted data

Export the data for further

usage/automation.

For example:

- to an Excel spreadsheet

- send as email

- SAP, etc.

40

Example scenario: Mortgage packet audit post-closing

Extract key loan

information from

documents

Split the packet into

underlying files for

faster processing

Robot monitors folder

for new files, initiates

document process

Executed closing packet

received and scanned

• Document scanning

• Digitization with OCR

• Unattended robot • Pre-processing

• Document classification

(keyword, anchors, model)

• RPA parallelization

• Extraction

• ML model-based and/or

rule-based (hybrid)

1 2 3 4

Write results into line of

business application

Send exceptions for

human review

Compare / validate

information across

documents

Check for signature

present in executed fields

• Signature detection • Unattended robot • Confidence / business rule-

based exceptions

• Validation Station

• Attended robot

• Action Center (Unattended

RPA)

• Unattended robot

5 6 7 8

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FlexibleProcess various types and formats of documents

IntelligentMix & match different extractors and retrain them to achieve higher accuracy

End-to-endSeamlessly automate high-volume document processing with end-to-end RPA & AI

Open & extensibleBring your own or third-party components and use them within Document Understanding

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Explore how UiPath Document Understanding can automate this

Define which documents you want to process

Get trained on Document Understanding in Academy

or via instructor-led training from UiPath

Give it a try – start Enterprise Trial

What’s next?

Enterprise Trial, Academy Course and more at uipath.com/document-understanding

Appendix:AI use cases, IDP ecosystem, quotes

44

Example AI use cases

Professional Svc

Data Extraction

from Charts

RFP Opportunities

Classification

Deal Guidance

Financial Svc

Fraud

Detection

Personal Loan

Approval

KYC – Entity

Identification

Retail

Packaging Quality

Evaluation

Inventory

Management

Merchandising

Planning

Healthcare

Real Time Pregnancy

Risk Evaluation

Patient Receivables

Management

Propensity of Claim

Denial Prediction

General

Help Desk

Answers

Customer Churn

Prediction

Resume Matching

Auditing – Anomaly

DetectionAML Alert

Classification

Product

Recommendation

Fraudulent Medical

Claim Prediction

Customer Complaints

- Email Classification

Legal – Win/loss rate

predictionID Information

ExtractionPricing Optimization

Readmission

Prediction

Quality - Visual

Inspection

*Review appendix for details

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AI use cases: a tandem of UiPath Document Understanding, AI Center, and AI Computer Vision

46

Leveraging Document Understanding ecosystem

Optical character

recognition

(OCR)

Structured

documents

Semi-structured

documents

Unstructured

documents

Natural language

processing (NLP)

• UiPath

Document

OCRh

• Kofax

Omnipage

• ABBYY

FineReader

• Google OCR

• Microsoft OCR

• Tessaract

• UiPath Form

Extractor &

Intelligent

Form

Extractorh

• ABBYY

FlexiCapture

• UiPath Machine

Learning Exractorh

• ABBYY FlexiCapture

Distributed / for

Invoices

• Hyperscience

• Ephesoft

• Vidado

• Rossum

• Omnius

• Microsoft Form

Recognizer

• Amazon Textract

• Indico

• SortSpoke

• Botminds AI

• Xtracta

• Contract

Wrangler

• Expert System

• Amazon

Comprehend

• Stanford NLP

Group

47

Document Understanding

21.4 FTS Release

Enhanced extraction capabilities:

• Field-level anchors for Form Extractor & Intelligent Form

Extractor

• Checkbox support for UiPath Document OCR

• Checkbox support in ML semi-structured models

• UiPath handwriting OCR accuracy improvements and support

for handwriting / machine text mixed fields

ML-based classification:

• ML Classifier for cloud and on-prem

ML models:

• Pretrained models: Invoices – India and Invoices – Australia GA;

ID Cards and Passports Preview

• ML model field limit increase to 300 fields with 2-key shortcuts

• Data Manager in AI Center cloud and removal of storage limits

• Auto-retraining capabilities (coming soon after 21.4)

Improved user experience:

• Document Understanding process for Studio / Studio Pro

(Preview)

48

“We have lots of instances where we need to grab documents from portals and sites.

Using Document Understanding, we can automatically read the PDFs, extract the

relevant information and input accurate data into our systems. This was a big

problem we’ve had for a very long time. Within two weeks, we were able to build a

working solution that can be rolled out to teams globally.”

Davendra PatelSenior RPA Developer at Alter Domus

49

“Just 2 days after Classification/Validation station was released into Action Center we immediately

added the missing piece to the Document Understanding Process already built a few months back.

Now we can have SME’s classifying/splitting documents and non classified document. We made it so

smart that it will also extract data from unrecognised documents by the robots, by creating general

classifications & document types where SMEs can select these all and continue on with the workflow.

That’s what I call realtime validation and processing. The bonus was having Data Service to store the

data extracted from the process, and then we use this data to create the spreadsheets from this.

Amazing to see how many months of development coming together as an end to end solution.”

Davendra PatelSenior RPA Developer at Alter Domus

50

“Combining RPA and AI is critical for document processing. Our customers often

have documents containing different layouts, different ways of writing, and different

types of fonts. AI is a powerful addition to any document processing workflows - it

can help read and understand the variations in documents, as well as learn from the

previous iterations. This in turn delivers faster and more accurate automation to

document processing.”

Lahiru Fernando

Executive Lead for RPA at Boundaryless Automation

51

“It has enormous potential for solving document processing challenges in industries

where there is an acute need for a solution, like banking, finance, healthcare,

insurance, and manufacturing. The way that it extracts data from different types of

documents and integrates with the other components of the UiPath Platform like

UiPath AI Center, makes it really compelling.”

Lahiru Fernando

Executive Lead for RPA at Boundaryless Automation

52

“When we compare what we had back then—just a year ago—to what we have

today, the improvements are amazing. There have been lots of new useful features

added. I also provided input on new features that could be added. UiPath listened to

me and the early users. As a result, Document Understanding has become an

excellent product. Now, we do not feel the need to look at other third-party tools as

we used to.”

Lahiru Fernando

Executive Lead for RPA at Boundaryless Automation

53

Help us help you – share data with us

Make Document Understanding better, faster, more accurate to achieve better results at no additional cost

UiPath uses the data to improve the product at its own cost, unblocking the customer use case

The customer gets improved capabilities (including retrained ML models with higher accuracy) - at no cost

UiPath makes the enhanced capabilities available to other customers

A customer encounters a limitation or would like to request an enhancement of a Document Understanding

component for their own benefit (including ML model retraining)1

6

5

4

* Alternative option - UiPath Data Sharing Agreement, please ask your contact at UiPath to generate it in SFDC.

The customer joins UiPath Insider Preview Program2The customer shares sample documents or workflows exhibiting the limitation or enhancement3

54

TRAINING

Course Description

The 3-day instructor-led class for RPA Developers provides an in-depth

knowledge of Document Understanding (DU) and offers practical exercises.

Upon completion of the class, participants will be able to:

• Understand how to leverage and implement UiPath DU Framework to process

documents intelligently.

• Learn how to classify different document types.

• Learn how to process different types of documents by using rule-based,

model-based and hybrid approach.

• Learn how to use out-of-the-box Machine Learning Extractors

• Learn how to train a Custom Machine Learning Extractor

• Learn how to bring human-in-the-loop to validate different actions done by a

robot.

• Build and implement an end-to-end DU workflow

Course Outcomes

Agenda

Day 1

- Introduction

- Document Understanding solution, use cases & RPA platform

- Intelligent OCR & Document Understanding activities

- Hands-on exercises in UiPath Studio

Day 2

- Out-of-the-box and custom ML Extractors

- Data Manager and AI Center (former AI Fabric)

- Hands-on exercises in UiPath Data Manager, AI Center, and Studio

Pre-requisites:

• UiPath Foundation Diploma / partcipants must have hands-on experience with

UiPath platform (Orchestrator, Studio, Robot)

• Basic understanding of ML/AI concepts, but not a must.Note:

This is a paid training. Please each out to your point of contact at UiPath to get more

details.

Day 3

- Closing the loop – Human validation implementation

- DU Framework – how to build and implement production-ready

- Hands-on exercises in UiPath Studio