JK Technosoft specializes in intelligent automation solutions, integrating technologies like RPA, AI, machine learning, and natural language processing to enhance business processes. They have received recognitions for their excellence in automation, with notable success stories such as the implementation of QAD for Nexteer Automotive. The document outlines their capabilities in various industries, project examples, and future predictions in automation technology.

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US | UK | NETHERLANDS | INDIA
Copyright © 2020, JK Technosoft. All Rights Reserved. ISO 9001:2015 | ISO 27001:2013| ISO 37001:2016| SSAE 18 SOC 1 Type II | SAP AMS Certified | CMMIL5 for SVC | ITIL Certified Pool | GDPR Compliant
INTELLIGENT AUTOMATION: ENABLING BOTS
WITH BRAIN

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Speakers
2
Mr. Sandeep L. Joice
Technical Lead – Intelligent Automation
Mr. David Elliston
Senior Presales Engineer, UK&I (UiPath)
Ms. Vaishnavi Hingankar
Senior Specialist – Intelligent Automation

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JK GROUP FAMILY 140 YEARS OF BUSINESS EXCELLENCE
3
50K+ EMPLOYEES US$ 7B REVENUE 3 RESEARCH CENTRES
Manufacturing
Aerospace & Defence
Fashion
Insurance
Technology
Engineering
Agrocare
Retail
USA | UK | Netherlands| India
Presence in 4 Countries
Noida | Bangalore | Hyderabad
3 Offshore Delivery Centres
From new customers to decade old relationships; have nurtured every partnership since 25 years
100% Customer Guardianship
From Developers to SMEs & Consultants
1600 + Employees
Consulting | Systems Integration Application Development and Managed Services | Digital
Transformation
25 Years of Excellence
Manufacturing | Healthcare | Retail | Financial Services | Logistics & Transport | CPG
Customer Presence Across Industries
CRM | ERP | Technology OEMs | ISVs
Partnership and Alliances
3

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Projects have been nominated in two different categories from
thousands of companies across UK, Europe and ROW
Nominated for the Digital Technical Excellence Award Selected for best practices in Automation by the
Parliamentary Review Committee 2017 & 2018
An elite 15 companies chosen for innovation and leadership
in the tech sector mentioned in the UK Government’s
Autumn review signed by the Prime Minister. This is
distributed across 3500 business heads across UK and
Europe
RECOGNITIONS IN EUROPE

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Automation Spectrum
STAGE 2 STAGE 3 STAGE 4STAGE 1
• Process Automation
• System Automation
• Function Automation
• Analytics
• Predictions & Suggestions
• Machine Learning
• Self Learning
• Self Decision
Task-based
Automation
Process
Automation
Cognitive
Automation
Digital Workforce
Judgement-drivenTransactional

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Past Present Future
• By 2023, 40% of I&O teams will
use AI-augmented automation.
• By 2023,AI-enabled automation in
data management will reduce the
need for IT specialists by 20%.
• By 2024, organizations will lower
operational costs by 30%
• By 2025, more than 90% of
enterprises will have an automation
architect
Productivity
Industrial
Automation
Business
Process
Automation
Digital
Transformation
Intelligent
Enterprises
IA Predictions by Gartner
High-value tasks
Repetitive Task
Automation
Intelligent Automation Trend

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Intelligent Automation Introduction
Robotic ProcessAutomation
(RPA)
• Integrated Desktop
• Process Automation
• Digital/Virtual Assistance
• Cognitive computing
Machine Learning(ML) &
Advanced Analytics
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Data Analytics
Natural Language
Processing(NLP)
• Sentiment Analysis
• Information Extraction
• Text Categorization
• Machine Translation
Artificial Intelligence(AI)
• Cognitive Capabilities
• Computer Vision
• Speech Recognition
• Deep learning
• Knowledge Capture
IA
Intelligent automation is a holistic solution for the digital transformation of the operational business processes through a collaborative
convergence of technologies and strategies.
Intelligent Automation Continuum
Systems
that DO
Systems
that
THINK
Systems
that
LEARN

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RPA vs. Intelligent Automation
RPA Mimics human action
IA incorporates RPA, machine
learning, reasoning, problem-solving,
natural language processing, smart
workflow, and cognitive agents (bots)
IA concerned with simulation of
human intelligence by machines.
RPA Automates rule based,
repetitive, systematic tasks
Benefits include cost reduction, higher
accuracy,
Improved productivity and better
compliance
Combines the capabilities of RPA and AI and provides
additional benefits like reduction in employee turnover,
better insights into the business and creating new jobs.
RPA
IA

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Reduction &
Better handling
of Risk
Ensure Back
Office Operations
run smoothly
after IA
Cost Reduction
Better
efficiency with
processes
Innovation
Benefits of Intelligent Automation over RPA
Better Customer
Experience
Increase in
Productivity

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• Fraud detection
• Digital assistant/chatbot
• Risk evaluation
• Claims management
• Regulatory compliance
• Supply chain management
• Inventory management
• Sourcing and Procurement
• Financial and accounting management
• Demand prediction for Inventory
Management
• Chatbots for Procurement
• Track and WarehouseAnalysis
• Logistics Route Optimization
• Inventory management
• Customer recommendation engine
• Virtual assistants for support
• Supply chain and return management
• Patient appointment scheduling
• Automating discharge procedures
• Insurance claim & billing management
• Prescription management
Manufacturing
Retail
Insurance
Healthcare
Shipping and Logistics
Industry Specific Use Cases of Intelligent Automation

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Use Case - Intelligent Purchase Order Processing
Input received in
PDF / Image format
Extract the data using
Intelligent Automation
Convert raw data into
structured format like
Excel / JSON / XML
Use the data in
respective apps
Use App Insights to
monitor the bots

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Use Case - RPA and AI for Patient Self Service
Solution Landscape
Conversation
Channels
Web
Physical
(In Hospital)
Social
Self Service
Use Cases
Symptom
Reporting
Health
Appointments
Tests & Test
Reports
Claim
Submission
FAQs & Good
Practices
User / Patient
Intents
Picked by
BOT
BOT Actions
Perceive
Threat &
Report
Book
calendar on
availability
Automate Tests
& Email Test
Reports
File Claim
/ Tell
Status
FAQs &
Good
Practices
BOT
Workflo
w
To name a few To name a few
Conversational AI Layer RPA Layer

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Where to start with Intelligent Automation?
IntelligenceCustomers
IT System
Ecosystems
Things
Define the Desired
Business Outcome
Assemble DigitalOps
tools with others Optimize the Process Tools
• Process Discovery
• Process Mining
• RPA
• iBPMS
• Low Code
• Business Rule Engine
Revenue
Cost
Risk
Assess/Rightsize
Industrialize & scale
Enhance
Digital Ops Toolbox
iPaaS
AI

14. Copyright©2020,JKTechnosoft.Steps towards Digital Transformation with Intelligent
Automation
Define
• Work with client
• Automation
goals
• Desired
outcomes
• Key
performance
Indicators
Engage with
clients
• Develop
strategies
• plan pilot
projects
• Benefits/ROI
analysis
Engage with
agency
stakeholders
• Develop Initial
Pilot
• Establish
governance
• Follow best
practices
Work with
client
• To develop ,
test and
release
automations
Management
• Operation
• Management
• Training
• Continuous
improvement
of automation
Assessment Strategy Pilot Implementation
Managed
Operations

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15
Application EE Upgrade- Nexteer
Automotive, India
Copyright © 2019, JK Technosoft. All Rights Reserved. 15
1. QAD Upgrade
2. Customization
Progress
11.6 -
OpenEdge
QAD EE
2016
(GUI)
User Base
60
QAD
Integration
with Audit
JKT
Team Size
5
Servicing
from
2016EE
Client
Overview
• Nexteer is a global manufacturer of `steering and driveline products
• Nexteer operates 20 manufacturing plants worldwide with more than 10,000 employee
• Nexteer is the fourth-largest steering-parts supplier by market share
• Successful QAD 2016EE implementation For Nexteer Automotive which was earlier
running on 2014EE with GST patches only
• Full implementation for 2016EE with complete Finance Mapping along with Operation
side Process
• ROI - Helped in get accuracy into Finance and Operation data
• QAD 2016EE Financial Training to Nexteer IT Team
Value Add
Key Projects
• QAD Conversion from QAD 2014EE to QAD 2016 EE
• Full conversion from YAB for Finance and operation data
• Implementation of JKT-Audit Tool for Supplier Bank Tracking
• Conversion of complete Custom module for QAD 2016EE
• Deployment of new feature of 2016EE like Dashboard
• Provided End-To-End solution from Day to day operation
Current
Engagement
• Onsite QAD Application Support for QAD 2016EE
• 24x7 Offshore Progress DBA shared Support
• QAD Application Offshore support
UiPath

16. 16
Demo
IntelligentAutomation
© 2005–2019 UiPath. All rights reserved.

17. Adding Intelligence to RPA
Artificial Intelligence (AI) can allow the robot to…
 understand documents – forms, structured, semi-structured and unstructured
 visualise screens
 comprehend conversations
 process language
 and much more…

18. Insert AI with drag-and-drop ease
Improve the model
with validated data
Deploy the model
Choose a model
AI FabricDEPLOY MANAGE
CONSUME
IMPROVE
Drag the model
into a workflow
Decision Point
(Humans) Validate exceptions
Run the model

19. AP - Intelligent invoice processing using UiPath Document Understanding01
02 HR – CV/Resume-to-job matching using UiPath AI Fabric
Demo Use Cases

20. AP - Intelligent invoice processing

21. HR – Using AI Fabric to match CV/Resume to job vacancies

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22
Application EE Upgrade- Nexteer
Automotive, India
Copyright © 2019, JK Technosoft. All Rights Reserved. 22
1. QAD Upgrade
2. Customization
Progress
11.6 -
OpenEdge
QAD EE
2016
(GUI)
User Base
60
QAD
Integration
with Audit
JKT
Team Size
5
Servicing
from
2016EE
Client
Overview
• Nexteer is a global manufacturer of `steering and driveline products
• Nexteer operates 20 manufacturing plants worldwide with more than 10,000 employee
• Nexteer is the fourth-largest steering-parts supplier by market share
• Successful QAD 2016EE implementation For Nexteer Automotive which was earlier
running on 2014EE with GST patches only
• Full implementation for 2016EE with complete Finance Mapping along with Operation
side Process
• ROI - Helped in get accuracy into Finance and Operation data
• QAD 2016EE Financial Training to Nexteer IT Team
Value Add
Key Projects
• QAD Conversion from QAD 2014EE to QAD 2016 EE
• Full conversion from YAB for Finance and operation data
• Implementation of JKT-Audit Tool for Supplier Bank Tracking
• Conversion of complete Custom module for QAD 2016EE
• Deployment of new feature of 2016EE like Dashboard
• Provided End-To-End solution from Day to day operation
Current
Engagement
• Onsite QAD Application Support for QAD 2016EE
• 24x7 Offshore Progress DBA shared Support
• QAD Application Offshore support
Questions?

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