Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software.

1. SEMINAR REPORT ON
ROBOTIC PROCESS
AUTOMATION
Under the guidance of
Mr. K. Venkaiah
Assistant Professor
Presented By-
P. Manishashank
20J21A1230

2. Contents
• 1.Abstract
• 2.Introduction
• 3.what is RPA
• 4. HISTORY
• 5.RPA And Regular automation
• 6.life cycle of RPA
• 7.SOFTWARE
• 8. BLOCK DIAGRAM
• 9. HARDWARE
• 10. APPLICATIONS
• 11.ADVANTAGES
• 12.DISADVANTAGES
• 13.Limitations
• 14.FUTURE SCOPE
• 15.Conclusion

3. 1.ABSTRACT
1. Changes in the global economy driven by the development of new
technologies require businesses to become more agile and to quickly
respond to the needs, wishes, and demands from their customers.
2. Moreover, competitive and financial pressures force organizations to
be more efficient, thus constantly seeking for new technologies and
methodologies that would help them become more productive, save
costs and add value to their business.

4. 2.INTRODUCTION
 Robotic Process Automation (RPA) is a transformative technology revolutionizing business
operations by automating rule-based, repetitive tasks through software robots.
 . These virtual workers emulate human actions within digital systems, streamlining workflows
and enhancing operational efficiency across various industries. RPA enables organizations to
achieve unprecedented levels of accuracy and speed in tasks such as data entry, invoice
processing, and customer service, leading to significant cost savings.

5. 3.WHA
TISROBOTIC
PROCESSAUTOMA
TION
• Robotics process automation (RPA) is the use of
the software with artificial intelligence and
machine learning capabilities to handle high
volume repeatable tasks that previously required
humans to perform . These tasks can include
queries, calculations and maintenances of
records and transaction.
• RPA technology ,sometimes called a software
robot or bot, mimics a human worker, logging
into applications ,entering data, calculating and
completing tasks and logging out.

6. 4.HISTORY OF RPA
• The history of Robotic Process Automation (RPA) can
be traced back to the early 2000s when the concept
of automating business processes using software
robots first emerged.
• The evolution of RPA gained momentum with the
advent of more sophisticated automation
technologies in the mid-2000s. Companies began to
recognize the potential of automating repetitive and
rule-based tasks to improve efficiency and reduce
costs.
• Around 2012, the term "Robotic Process
Automation" gained widespread use as more
advanced RPA platforms entered the market.

7. 5. Differences between RPA and regular automation
What distinguishes RPA from traditional IT Automation is the ability
of the RPA software to be aware and adapt to changing
circumstances, exceptions and new situations.
With RPA technology, however, software that has the ability to
adapt, self-learn and self-correct would handle the exception and
interact with the payroll system without human assistance.
RPA software is particularly useful for organizations that have many
different and complicated systems that need to interact together
fluidly.

8. 6.Life cycle of RPA

9. IDENTIFY IN RPA
Robotic Process Automation (RPA) is a
technology that utilizes software
robots or "bots" to automate repetitive, rule-
based tasks, enhancing efficiency,
reducing costs, and improving accuracy in
various business processes.

10. ANALYSIS IN RPA
• Robotic Process Automation (RPA)
optimizes business processes by
automating repetitive tasks using
software robots. It enhances
efficiency, reduces errors, and
enables organizations to streamline
operations for improved productivity
and competitiveness

11. DESIGN IN RPA
• The design of Robotic Process
Automation (RPA) involves
creating automated workflows
using software bots. It includes
mapping out processes, defining
rules, and integrating RPA
solutions to enhance operational
efficiency.

12. DEVELOP IN RPA
Development of Robotic Process
Automation (RPA) involves creating,
configuring, and deploying
automation scripts
or bots. It includes coding, testing,
and optimizing processes to achieve
seamless integration
and improved business efficiency.

13. TEST IN RPA
• Testing in Robotic Process
Automation (RPA) ensures the
functionality, reliability, and
accuracy of automated processes.
It involves validating scripts,
handling exceptions, and verifying
that bots perform tasks as
intended for optimal performance.

14. IMPLEMENTATION
• Implementation of Robotic Process
Automation (RPA) involves deploying
automated solutions into existing
workflows. It includes integrating bots,
training staff, and monitoring
performance to achieve efficient, error-
free, and streamlined business
processes.

15. 7.SOFTWARE OF RPA
RPA Platform:
The core software that enables the design,
development, deployment, and management of
automation processes. Popular RPA platforms include
UiPath, Automation Anywhere, and Blue Prism.
Integrated Development Environment
(IDE):
The environment where developers create and design
automation workflows. It includes tools for recording,
scripting, and debugging processes.

16. 8.BLOCK DIAGRAM

17. 9.HARDWARE OF RPA
• Server Infrastructure:
 In enterprise-level RPA deployments,
servers or cloud infrastructure may be
used to host and manage the automation
processes.
• Endpoints:
 The devices or endpoints where the RPA
bots interact with applications. This could
include desktops, virtual machines, or
servers where the automation scripts are
executed.

18. 10.APPLICATIONS
• Customer service
• Accounting
• Financial services
• Healthcare
• Human resources

19. CUSTOMER SERVICE
RPA can help companies offer better customer
service by automating contact center tasks,
including verifying e-signatures, uploading
scanned documents and verifying information
for automatic approvals or rejections

20. ACCOUNTING
• Organizations can use RPA for general
accounting ,transactional reporting
and budgeting.
• RPA in accounting automates data
entry, reconciliation, and reporting,
reducing errors, improving
accuracy, and enhancing overall
efficiency in financial processes.

21. FINANCIAL SERVICES
•Companies in the financial services industry
can use RPA for foreign exchange payments ,
automating accounts openings and closings,
managing audit requests and processing
insurance claims.

22. HEALTH CARE
• Medical organizations can use RPA for
handling patient records ,claims, customer
support, account management, billing ,
reporting and analytics
• In healthcare, RPA streamlines
administrative tasks, enhances data
accuracy, and improves operational
efficiency, allowing focus on patient
care and outcomes.

23. HUMAN RESOURCES
RPA CAN AUTOMATE HR TASKS,
INCLUDING ONBOARDING AND
OFFBOARDING, UPDATING EMPLOYEE
INFORMATION AND TIMESHEET
SUBMISSION PROCESSES
RPA IN HR AUTOMATES
RECRUITMENT,ONBOARDING,PAYROLL,AN
D OTHER REPETITIVE TASKS, INCREASING
EFFICIENCY,REDUCING ERRORS,AND
ENCHANCING OVERALL HR PROCESSES

24. 11.Advantages
Cost Saving
Increased
Efficiency
Accuracy and
Error Reduction
Quick
Implementation
Improved
compliance

25. 12.Disadvantages
High Initial Costs
Limited Cognitive
Abilities
Dependency on
Structured Data
Security
Concerns
Maintenance
Complexity

26. 13.LIMITATIONS
OF RPA
1.Complex Decision-Making: RPA
struggles with nuanced decision-making
processes.
2.Structured Data Dependence: It relies
heavily on structured data formats.
3.Job Displacement Concerns:
Automation may lead to job
displacement.
4.High Initial Setup Costs: Implementing
RPA can be expensive initially.

27. 14.Future scope
1. Integration with Advanced Technologies: RPA will increasingly integrate with emerging technologies such
as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and analytics. This
convergence will enable more sophisticated and intelligent automation, expanding RPA's capabilities.
2. Cognitive Automation: RPA will evolve towards cognitive automation, allowing bots to make complex
decisions, learn from experience, and handle unstructured data. This will result in enhanced problem-solving
abilities and a broader range of tasks that can be automated.

28. 15.Conclusion
EFFICIENCY
IMPROVEMENT
COST SAVINGS INCREASED
ACCURACY
FASTER
PROCESSING TIME
ENHANCED
SCALABILITY

29. Thank you !