Success story

Outsource People 2016

April 2016

Outline

3

Facts about me

What problems banks are trying to solve?

What prevents them to do that?

Smart Process Automation

Team Collaboration

Q&A

Facts about WorkFusion

Facts about me

4

BSU. Faculty of Mechanics and Mathematics. 1995 – 2000

NT lab – 2 years. VHDL developer

IBA – 8 years. Developer -> Team Lead

Exadel – 4 years. Department Manager

Strevus – 3 years. Co-Founder. Director of Engineering

WorkFusion – 1 year. Co-Founder. Director of Engineering

Institute of Technical Cybernetics, National Academy of Sciences

Facts about WorkFusion

5

WorkFusion is in 10 NYC Startups That Raised the Most Amount of

Capital in December

WorkFusion Raises $14M to Drive Smart Process Automation in

Enterprise

What problems banks are trying to

solve?

6

Reduce cost

Configurability

Automation process

Reduce FTE: 25% or more

What prevents them to do that?

7

Tech team can not deliver

Leaving Legacy systems as is

Huge amount of low quality documents

All optimization was considered done by moving to Offshore

Support Chinese, Korean, Japanese, etc.

Smart Automation Process

April 2016

What is “Robotics” and “Cognitive”?

Why are they new?

9

Head work

Hand work Cognitive Automation

Robotics “aka” RPA

i.e. entering data from one application into another

i.e. extracting information from unstructured documents

Why now? End of labor arbitrage + strong adoption of

self-service across enterprise

Why now? Breakaway progress in AI tech + availability of data and compute in

cloud

50% impact can be expected from full-stack

implementation of smart automation, as high

as 70% if starting from onshore

10

Initial state Future state

Plain old offshoring and outsourcing

Sourcing Cognitive Robotics

10-15% robotic automaton on offshore, 40% on onshore resources

10-20% cognitive automation on top of robotics

5-10% human worker analytics / UX improvements

30%

+50%

Smart automation

Automation of onshore FTE remaining due to regulatory reasons

WorkFusion is Smart Automation

11

Human-in-the loop

Crowdsourcing Statistical Quality Control

2011 MIT CSAIL lab research leads to R&D on human-in-the-loop computing

Microtasking Robotics

2012 WorkFusion launches first SaaS platform for Microtasking in enterprise

Machine Learning

2013 WorkFusion launches Machine Learning automation

Smart Automation

2014 WorkFusion becomes first full stack robotics + cognitive + human platform

Full stack Automation

2015 WorkFusion patents Worker Fitness, Virtual Data Scientist

CASE STUDY

Processing of Invoices to extract header information and

individual line-items

12

Situation

A Human Resource software company processes up to 150k invoices on a monthly basis

The current processing method is fully manual, which limits the amount of information that can be extracted

Approach

Optical Character Recognition (OCR) capabilities are applied to turn each invoice into structured text, which is then passed through a workflow

Machine Learning models are applied to automatically extract values where possible

When human effort is required, a semi-automated information extraction task is used to speed-up the manual work

Impact

FULLY MANUAL

TO

80% AUTOMATION

1 LINE PER

DOCUMENT TO

ALL DOCUMENT

LINES

KEYING

REPLACED BY

HIGHLIGHTING

AND AUTO-

SELECTION

CASE STUDY

Standardizing on processing format to collect key values

from tax documents

Problem

Customer is storing and analyzing tax documents for its customers. To add each document to the database correctly, the Company Name and Jurisdiction need to be extracted from the document. The current process is fully manual due to the large variety of PDF types and tax documents

Impact

Utilized WF’s OCR technology to convert all documents to a format maintaining context. Configured web scraper and information extraction tools to be able to collect data. Incorporate in a workflow that incudes normalization of values and human exception management.

1

How does WorkFusion enabled enterprise automation architecture?

14

Enterprise Infrastructure / Enterprise Cloud

Systems of Record (ERP, CRM, …) Data Warehouse / Data Lake

Cognitive Automation (VDS)

Digitization (OCR, Scraping, …)

Workforce Orchestration

Au

tom

ation

A

uto

matio

n en

ablers

Mobile

Business Process Management

Messaging UX D

ata

Inte

grat

ion

(ET

L, D

Q, M

DM

)

Robotic Automation (RPA)

Au

tom

atio

n B

I/A

nal

ytic

s

Emb

edd

ed A

uto

mat

ion

Team collaboration

June 2015

Team structure

Sales, marketing

Pre-Sales

R&D

Engineering

Professional Services

Customer Support

16

Process Improvements

Top priorities focus

Feature Team Approach

Continuous Delivery

Collaboration

Ownership

Seniority

Expertise

17

Q&A

18

Contact

19

Ilya Kazimirovskiy Director of Engineering Mobile: +375 29 163 3393 Email: ikazimirovskiy@workfusion.com Site: workfusion.com