2. Content
• What is Robotic Process Automation
• Examples of Robotic Process Automation
• 4 Phases of RPA
• Benefits of RPA
• Implementation of RPA
• Use Cases of RPA
• Future of RPA
• Conclusion
3. What is Robotic Process
Automation
• Robotic Process Automation (RPA)
is the use of 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 maintenance of
records and transactions.
4. Examples of Robotic Process Automation
Log into
applications
Move files and
folders
Copy and paste
date
Fill forms Extract
structured and
semi structured
data.
5.
6. 4 Phases of RPA
• Analysis: Identification of the business
process for RPA development
• Development: Fulfillment of requirements
• Testing phase: Performance of quality
checks
• Deployment and maintenance: Deployment
and maintenance of bots
7. Benefits of RPA:
1.Increased Productivity - Focus on more valuable and strategic activities.
2.Cost Savings - RPA reduces the need for manual intervention in processes.
3.Increased Efficiency: RPA bots can perform tasks faster and more accurately than
humans, resulting in increased efficiency and productivity.
4.Improved Accuracy and quality: Performs tasks with high accuracy and consistency,
minimizing errors and improving data quality
5.Scalability and flexibility: RPA can be easily scaled up or down depending on
business needs, making it a flexible and cost-effective solution.
6.Enhanced Customer Experience: enables faster response times and improved
accuracy in customer-facing processes. .
8.
9. Use Cases of RPA
• Financial Services
• Healthcare
• Human Resources
• Customer Service
10.
11. Future of RPA
• Artificial Intelligence (AI) and Machine Learning (ML)
• Cloud-based RPA
• Impact on the workforce
12. Conclusion
• RPA is a game-changer for businesses looking to increase
efficiency, reduce costs, and improve customer experience. By
automating repetitive and rule-based tasks, RPA frees up
human workers to focus on more strategic and high-value tasks.
With its scalability and flexibility, RPA is an ideal solution for
businesses looking to streamline their operations and stay
competitive in today's fast-paced business environment.
Editor's Notes
Today, I stand before you to talk about an exciting technological revolution that is reshaping the way we work and transforming industries across the globe. I am referring to Robotic Process Automation, or RPA. In this era of digital transformation, organizations are constantly seeking ways to streamline their operations, increase efficiency, and enhance productivity. RPA offers a powerful solution to achieve these goals by automating repetitive and rule-based tasks traditionally performed by humans.
RPA helps businesses and organizations streamline their processes by allowing people to hand off repetitive tasks to software.It's becoming more and more popular as part of the digital transformation of the workplace.The main goal is to replace repetitive and boring task performed by humans with a virtual workforce.
So, what exactly is RPA? Think of it as software robots or virtual employees that can mimic human actions and interact with digital systems to execute tasks. These robots can log into applications, navigate through various screens, extract data, perform calculations, and even communicate with other systems. In essence, they are like digital assistants that can tirelessly perform routine tasks with speed and precision.
AnalysisThis starts with identifying and selecting the right processes for automation. Organizations need to analyze their existing workflows, evaluate the potential benefits of automatio, and prioritize processes based on factors such as complexity, volume, and impact on business outcomes.
Phase 1: Planning and Analysis The first phase of RPA implementation involves planning and analysis. It begins with identifying the processes that are suitable for automation. This requires a thorough analysis of existing workflows and identifying repetitive, rule-based tasks that can be automated. In this phase, organizations also evaluate the potential benefits and challenges of implementing RPA, define clear objectives, and establish a roadmap for implementation.
Phase 2: Design and Development Once the processes have been selected for automation, the design and development phase begins. During this phase, RPA developers work closely with subject matter experts to design the automated workflows. They define the sequence of tasks, determine the inputs and outputs, and configure the software robots to mimic human actions. This phase also involves integrating RPA with existing systems and applications, as well as creating any necessary interfaces or connectors.
Phase 3: Testing and Deployment After the design and development phase, the automation solution goes through rigorous testing to ensure its functionality, accuracy, and reliability. This includes both unit testing, where individual components are tested, and end-to-end testing, where the entire automated workflow is validated. Once the testing phase is successfully completed, the automation solution is deployed into the production environment. The RPA robots are deployed on designated machines, and the automated processes are initiated, ready to perform the designated tasks.
Phase 4: Monitoring and Maintenance The final phase of RPA implementation involves ongoing monitoring and maintenance of the automation solution. Continuous monitoring ensures that the automation is functioning as expected and any exceptions or errors are promptly addressed. Organizations should establish robust monitoring mechanisms and implement regular performance checks to identify any issues and optimize the automation solution. Additionally, as processes evolve or new opportunities for automation arise, the automation solution should be updated and maintained accordingly.
Increased productivity: RPA can automate repetitive, rule-based tasks, allowing employees to focus on more valuable and strategic activities. By automating mundane tasks, RPA helps increase productivity and reduces human error.
Cost savings: RPA reduces the need for manual intervention in processes, resulting in cost savings. With automation, organizations can accomplish tasks faster and with fewer resources, leading to operational cost reductions.
Improved accuracy and quality: RPA performs tasks with high accuracy and consistency, minimizing errors and improving data quality. By eliminating human errors in manual data entry and processing, RPA helps maintain data integrity and reduces the need for error correction.
Enhanced customer experience: RPA enables faster response times and improved accuracy in customer-facing processes. This leads to enhanced customer satisfaction by ensuring prompt and accurate service delivery.
Scalability and flexibility: RPA allows organizations to easily scale their automation efforts as business needs grow. Robots can be added or modified to accommodate changing process requirements, allowing for flexibility and agility.
Faster process execution: RPA bots can execute tasks round the clock, without the need for breaks or downtime. This enables faster process execution, reducing turnaround times and improving operational efficiency.
Integration with existing systems: RPA can seamlessly integrate with existing IT systems and applications, without the need for significant changes to the underlying infrastructure. This allows organizations to leverage their existing technology investments and extend the capabilities of legacy systems.
Compliance and auditability: RPA offers enhanced compliance and audit capabilities by providing a detailed log of activities performed by the robots. This improves transparency, traceability, and accountability in process execution, which is crucial for regulatory compliance.
Identify and analyze processes: Begin by identifying and analyzing the processes that are suitable for automation. Look for repetitive, rule-based tasks with well-defined inputs, outputs, and decision-making criteria. Assess the potential benefits, complexity, and feasibility of automating each process.
Define automation objectives: Clearly define the objectives of automation. Determine what specific outcomes you aim to achieve, such as improving efficiency, reducing costs, enhancing accuracy, or accelerating process execution.
Select an RPA tool: Choose an appropriate RPA tool that aligns with your requirements and budget. Consider factors such as ease of use, scalability, integration capabilities, security, and vendor support. Some popular RPA tools include UiPath, Automation Anywhere, and Blue Prism.
Build automation workflows: Using the selected RPA tool, design and build the automation workflows or "bots" that will execute the identified processes. This involves creating a sequence of steps, configuring inputs and outputs, defining decision-making logic, and handling exceptions or errors.
Test and refine: Thoroughly test the automation workflows to ensure they function correctly and produce the desired outcomes. Identify and address any issues or errors that arise during testing. Refine and optimize the workflows as needed to improve performance and reliability.
Implement and deploy: Once the automation workflows have been tested and refined, deploy them into the production environment. Ensure that the necessary infrastructure and resources are in place to support the RPA implementation. Define access controls and permissions for the bots as per security requirements.
Monitor and manage: Continuously monitor the performance of the RPA implementation. Keep track of process execution, exceptions, and any changes in the underlying systems or processes. Proactively manage and maintain the automation workflows, making updates or modifications as necessary to accommodate changes in business requirements.
Evaluate and scale: Regularly evaluate the effectiveness and impact of the RPA implementation against the defined objectives. Measure key performance indicators (KPIs) such as cost savings, process efficiency, accuracy rates, and customer satisfaction. Based on the results, identify opportunities for scaling the RPA implementation to automate additional processes or expand to new areas.
Background:
One of the largest IT companies in China would like to automate its daily internal processes to increase productivity, reduce human error and manpower. It required a process automation platform suitable for different departments including Finance, Supply Chain, Logistics and Human Resources with fast and easy deployment.
Challenges:
Many requirements were raised from different departments which required web and desktop automation between internal and external systems for data exchange and reporting. The development was required to be completed within a short time with 100% accuracy. However, the number of automated processes could not be limited in the server.
Solution:
Nikoyo deployed the RPA solution to build over a hundred software robots within a year to automate customer’s daily processes. The solution helps the staff to handle repetitive and tedious tasks, thereby releasing their time to focus on their expertise. The customer saved a large amount of operation cost in the first phase of the project and project expansion is planned in the coming few years.
Walmart: The retail giant has implemented RPA to automate several back-office processes, such as invoice processing, inventory management, and HR tasks. RPA has helped Walmart reduce manual effort, improve accuracy, and enhance operational efficiency.
Amazon: Amazon has leveraged RPA to automate various aspects of its logistics and supply chain operations. RPA bots are used to automate tasks like order processing, inventory management, and data entry, enabling faster and more efficient operations.
Coca-Cola: Coca-Cola has embraced RPA to automate its financial processes, including accounts payable and receivable, invoice processing, and data validation. RPA has helped Coca-Cola reduce manual errors, accelerate financial processes, and enhance compliance.
Siemens: Siemens, a global technology conglomerate, has implemented RPA to automate numerous repetitive tasks across departments such as finance, procurement, and HR. RPA has enabled Siemens to achieve significant time and cost savings while improving data accuracy.
IBM: IBM has integrated RPA into its business processes to enhance efficiency and reduce costs. RPA bots are utilized to automate tasks like data entry, customer onboarding, and IT support, enabling IBM to improve service delivery and employee productivity.
JPMorgan Chase: The financial services giant has adopted RPA to automate various banking processes, including mortgage applications, compliance checks, and customer service operations. RPA has helped JPMorgan Chase improve operational speed, accuracy, and customer satisfaction.
Accenture: Accenture, a global consulting firm, has implemented RPA internally and offers RPA services to its clients. RPA is used to automate repetitive tasks across different business functions, allowing Accenture to drive efficiency, reduce costs, and deliver enhanced services.
Ford: Ford has embraced RPA to automate manual and time-consuming processes in areas such as finance, HR, and procurement. RPA has helped Ford streamline workflows, eliminate errors, and optimize resource allocation.
