Intelligent automation-robotic-entities the-future-of-their-management

CW
IN
CAPGEMINI
WEEK OF
INNOVATION
NETWORKS
Intelligent Automation
Robotic Entities
The Future of their Management
Milan, 25 September 2018, Bibbiano Eros

2Intelligent Automation - Robotic Entities © 2018 Capgemini. All rights reserved.
We take a vendor-agnostic approach to working with RPA tools and have evaluated more than
75 products related to automation, machine learning, knowledge management and related
areas
Capgemini Key Metrics:
• Over 1,200 business processes automated
• Over 4,000 production robots
• Over 800 dedicated RPA professionals
• 3 of top 5 global retail banks are IA clients
• Strategic partnerships with all major RPA vendors
• Ability to drive licensing discounts in most cases
Our RPA Metrics

The Spectrum of Automation
Robotic Process Automation
Cognitive Automation
Software that uses pattern
recognition and machine learning,
potentially combined with natural
language / ‘human’ interface
Software that acts as a ‘virtual person’,
operating existing applications and
systems. Rapid but scalable task
automation.
PotentialValue
Desktop Integration
Record and emulate
desktop user activities
Evolution
Intelligent Automation - Robotic Entities

Robotic Entities - Why Entity ?
- Cognitive Ability- AI
- Government Capacity- RIA
- Interaction Capacity- RDA
- Action Capacity- RPA
- Control Capacity– IT
- Access Resources– IT
Intelligent Automation - Robotic Entities © 2018 Capgemini. All rights reserved.

Agents
Attended work
Robots
Unattended work
 Unattended work it does not require any human
intervention
 'Robot' works on a virtual machine in an 'automation hub'
 The job is activated so as to be put in a work queue that the
"robots" subscribe to
 Attended work involves the employees who
perform the activities (front and back-office)
 'Robot' works on the agent's desktop (or his / her
virtual desktop / Citrix)
 Calls, rules, automation, copying and pasting between
systems etc. They are triggered by desktop events
RoboticAutomationCapabilities
 Collaborative work the fusion of the two areas with the interaction between them
 'Robot' works on a virtual machine in an 'automation hub' and where he can not interpret the situation, he asks for his help
 The work is activated by the user or by an external event
 The obstacle of the authorizations and the validation of the Critical Processes carried out is completely under the user's control
Intelligent Automation - Works Mode

PRODUCTIVITY
IMPROVEMENT
OPERATIONAL
EFFICIENCY
COST
OPTIMIZATION
Costs fraction of Human
Equivalent
Costs one-third the price of an
offshore FTE and one-fifth the
price of an onshore FTE.
Regulatory Compliance
100% compliance with stated
regulatory requirements
Higher Efficiency
Robots can work 24 hours a
day, seven days a week.
Typically, one robot can do the
work of two to five FTEs
Benefits of Intelligent Automation
Scalability
Tens, hundreds or thousands of
robots can be trained at exactly
the same time through workflow
creation
Improved Quality
100% accuracy due to high
repeatability and zero fatigue
Operations Optimization
Improved data gathering and
organization for optimized
operations and full interaction
with human
Improved Service Delivery
Improved process quality,
speed, governance, security,
and continuity
Quick Breakeven
Investment recovery period as
short as 6-9 months
Cost Savings
Cost reduction of 35-65% for
onshore process operations and
10-30% in offshore delivery

Activities
 Identify opportunity
 Develop and review
requirement
specification
 End-to-end process
review
 Assess IA feasibility
 Develop estimation
 Cost/benefit
analysis
 Risk assessment
 Analyse as-is
process deep dive
 Design to-be
process leveraging
IA
 Design document
sign-off
 Develop/configure
robot(s)
 Test execution
 Automation demo
 Prepare deployment
checklist
 Train the support
team
 Deploy to
production
 Document
BCP/support model
 Final acceptance
 Go-live
 Post–go-live
support for one
week
 On-going
maintenance
 Opportunity pipeline
 Requirement
specification
 Feasibility report
 Cost/benefit
assessment
 Risk assessment
 Design document  Test plan, test
result
 Operation handbook
 Authorization
policies
 Production
deployment check
list, user guide
 BCP/support model
 Final go-live
 SLA reporting
 Requestor, local
process SME,
business analyst
 Automation expert
 Requestor, local
process SME,
business analyst
 Local process SME
 Automation
development team
 IA architect
 Maintenance team
 Maintenance team
DeliverableResources
 Local process SME,
business analyst
Opportunity
identification
Feasibility
assessment
Process
optimization
Automation
and testing
Support preparation
and handover
Go-live and
maintenance
Discover Differentiate Deliver
Our years of experience has allowed us to evolve a specific methodology for
realizing benefits
Intelligent Automation - Methodology

A network of automation—with initial focus
on “high readiness to deploy” technology
High
relevance
Currently low
-but monitor
Emerging
Master Data Procurement
Invoice
Processing
Query Payment
T&E Claims
Processing
Reporting Analytics
Order
Management
Master Data Credit Billing Collections
Non-PO
Invoice
Disputes,
Deductions,
Queries
Reporting Analytics
Master Data Journal Fixed Asset Compliance
Tax
Accounting
Treasury Intercompany Close Reporting
Master Data
Recruit to
Hire
Administer to
Work
Reward to
Pay
Learn to
perform
Query
R R R R RIP IP
R
R R R R R R R R
R R R R R R R R
RR
AI AI
AI
AI
AI
AI
IP IP IP RIP
AI AI AI BC
IPR R R R AI
R Robotics IP Interaction platforms AI
“Narrow” artificial Intelligence/
machine learning including analytics
BC Block chain
Record
to Report
Order to
Cash
P2P
HR
For many business processes, ranging from financial to HR onboarding, we bring a set of
acceleration templates that highlight key areas for automation that can often yield rapid ROI
Intelligent Automation - Accelerators

Intelligent Automation - Delivery Models
IA as a Service Capgemini Hosted Customer Hosted
Environment
Multitenancy
Back Office Robots
IA capabilities
Front Office Robots
Development
Responsibility
Server
Responsibility
Robotics SLA
Responsibility
Recommended
minimum amount of
BO robots
Orchestrator
Hybrid
(or plain FO)
BO = Back Office
FO = Front Office
Full scale
Based on technologies /
licenses / services in use
Based on technologies /
licenses / services in use
Shared Customer specific Customer specific
Full scale in BO
Shared BO
Customer specific FO
Yes Yes Yes Yes
No No Yes Yes
Capgemini Capgemini or Customer Capgemini or Customer
BO Capgemini
FO Customer or CG
Capgemini Capgemini Customer
BO Capgemini
FO Customer
Capgemini Capgemini Typically Customer
BO Capgemini
FO Customer
1 5-10 5-10 1
Included Per separate fee Per separate fee Included

Cut
costs
Start
fast
All
included
Low up-front investments
and total costs
Plug & play technologies
from Capgemini Cloud
Innovations and managed
services built-in
1. Platform maintained,
monitored and developed
by leading Intelligent
Automation professionals
2. High IT security
1. Licenses and modern infra
included - immediately
2. Location independent
implementations
3. Talented developers
1. Pay for use: scale capacity
up & down when needed
2. Efficient centralized
operations up-to-24/7
3. Rightshore resources
Intelligent Automation As A Service: fastest way to achieve benefits

-22%
Call reduction thanks to the
Virtual Agent
90% correct
answers
 Combining the benefits of conversational
UI and IA
 Reduce costs
 Improve the quality of service
 Propose outstanding response time
 Learn from the customers by tracking all
the questions & answers and improve the
knowledge database
2,300Knowledge
data entries
given by the Virtual Agent built in the first 6 months
Conversational UI can provide additional benefits as a front-end to IA
Intelligent Automation - Case Study – Automotive Chatbot

Intelligent Automation is a journey
IA is not a project is a journey
 Plan to build a skyscraper, not a
bungalow.
 Build internal Intelligent Automation
capability to evolve, leverage scale and
increase business value
 Multi-skill the robots
 Don’t be tempted of quick wins by
deploying IA in siloed units always start
as an Enterprise rollout
IA must be close to the Business
Standardize and stabilize
Monitoring and Predict
Bring IT onboard early
Communicate internaly
 Compare transversely with
colleagues, the needs of one
can be combined with those of
others
 Intelligent Automation should be
considered as an operational asset –
Business stakeholders and support
from IT, subject matter experts and
process efficiency experts is
important.
 Grow in house IA capability by
building Centre of Excellence made of
a mixture of Operations and IT people.
 Stabilize and streamline prior
before automation – lifting and
shifting a process from a human to
a robot will reduce FTE costs but
will not optimize your processes
 Create a unique and robust
production protocol
 Share the problems
 Common solutions
 Reuse of tools
 Grow up together
 Full control of your Entities
 Real-Time reaction strategy
 Prevent Process or IT issues
 Work balancing
 Predict overwork

We thank you for your
kind attention !!!

Presentation Title | Author | Date © 2018 Capgemini. All rights reserved.
This message contains information that may be privileged or confidential and is
the property of the Capgemini Group.
Copyright © 2018 Capgemini. All rights reserved.
A global leader in consulting, technology services and digital transformation, Capgemini is
at the forefront of innovation to address the entire breadth of clients’ opportunities in the
evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and
deep industry-specific expertise, Capgemini enables organizations to realize their business
ambitions through an array of services from strategy to operations. Capgemini is driven
by the conviction that the business value of technology comes from and through people.
It is a multicultural company of 200,000 team members in over 40 countries. The Group
reported 2017 global revenues of EUR 12.8 billion.
About Capgemini
Learn more about us at
www.capgemini.com
Managing Consultant Lead
IRPA/APA Architect
NICE & UIPath Specialist
https://www.linkedin.com/in/eros-bibbiano
Capgemini Italia Spa | Milano
Mobile : +39 348 4992340
eros.bibbiano@capgemini.com

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