agile and automation conclave 2018 - …...vivek sharma [email protected] title automation...

AGILE AND AUTOMATION CONCLAVE 2018

Intelligent Automation JourneyUnilever

Vivek Sharma

Agile and Automation Conclave 2018

About me


Waves of Technology Revolutions

Robotic Process Automation : Range of Capabilities

Desktop Automation (DA)

Robotic Process Automation (RPA)

Intelligent or Cognitive Automation (IA or CA)

Implementation speed & solution maturity

Valu

e &

capa

bilit

yRDA

RPA

Cognitive Automation


Identifying the most suitable scope of implementation is key to unlocking the value of RPA

Process selection criteriaProcess requires limited exception handling.

5

Process is executed frequently and in large volumes.

Process requires access to multiple systems.

Process can be broken down into unambiguous rules.

1 2 3

Monitor Email inbox for Orders Review Order Input Order into SAP Upload Order Tracker to

SharePoint

Fulfilment of Customer Order

Sales Order Processing - Robotics

Structured and digital data will be available.

4


Typical RPA Use Case Lifecycle

Process Prioritization Design &

Development

Business or Process Team

Automation Factory

Process Identification PrioritizationProcess Simplification Process Design & Documentation

RPA Design and Development Testing Deployment BAU Support


Identifying New RPA Opportunities

1

2

0 Use Cases Yet to be Identified

User Identified Opportunities

Process Mapping to Identify

Opportunities

Analysis by Process Experts- Internal business teams

- 3rd Party Augmented team

- Process SMEs from ETS

Scouting Tools

Experimentation

Value Delivery

Focus on increasing stakeholder awareness around RPA and educating them on its benefits

Pilot use cases get created and deployed

Fragmented Use Cases

Consolidation of Processes


Unilever has established an automation factory to deliverAUTOMATION at scale

WHAT IT IS• Partnerships with experts (ACN,IBM & EY)

• Agile Development team (60+ Developers)

• Technology choices and standards

• Builds & Maintains Infrastructure

• Ongoing maintenance of RPAs

IN THE NUMBERS (so far….)

1 Hub (Bangalore)

250+ Processes Automated

350+ Processes in the pipeline & ideation

50 Bots deployed

200k Hours released

SpeedReliability Scalability Information Security


Resilience

Information Security

Lifecycle

Support

RPA deployment to be managed carefully for core systems

IT Platforms along with Automation Factory to ensure End-to-end ownership


AF Labs - RPA Cognitive/AI skills – ServicesV

isio

nIn

telli

genc

eCo

nver

sati

on Channels Bot Service FulfilmentMachine Learning Engine

Messages

Messages

Messages

Messages

Microsoft Bot Framework on Azure

API Calls to

RPA

Voi

ce

TextConversation and Voice

Capabilities Chatbots etc

Intelligent Optical Character Recognition:Conversion from images of typed, handwritten or printed text into machine-encoded text intelligently using Machine Learning

Computer Vision:Acquire, process, analyse & Understand digital images - Data and information extraction

Machine Learning:Algorithms like anomaly detection, classification

Extract & Digitize

Docs

Process Failed Docs

Validate & Trigger

Workflow

Final Review & Approval

Learn

Classification

Predict a class for input

Regression

Output is continuous

Anomaly Detection

Identify outlier

Clustering

User to identify structure

Supervised [Data is labelled] Unsupervised [Exploratory]


Q&A


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Vivek [email protected]

agile and automation conclave 2018 - …...vivek sharma [email protected] title automation...

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