Picture this: It’s the late 1990s, and a bank employee is painstakingly entering customer data into a system, one field at a time. The process is slow, error-prone, and monotonous. Fast forward to today, and the same task is performed by a software robot in a fraction of the time, with zero errors. This transformation is the power of Robotic Process Automation (RPA).
According to a report by Gartner, by 2022, 85% of large and very large organizations will have deployed some form of RPA. This shift from manual to automated processes is not just about efficiency; it’s about freeing up the human potential to focus on tasks that require creativity, critical thinking, and personal touch.
In this article, we will dive into the world of RPA through a series of compelling case studies from Kanerika, a leading data and AI consulting software company in the US. These real-world examples will demonstrate how RPA is not just a tool for automation but a catalyst for business transformation.
What is Robotic Process Automation?
Robotic process automation (RPA) is a technology that enables organizations to automate business processes by creating software robots. They are also known as “bots”. These bots can mimic the actions of a human user and are capable of interacting with computer applications and systems.
Benefits of Robotic Process Automation
RPA is making significant strides across various sectors, from streamlining data management in healthcare to accelerating loan approvals in banking. Here are some of the key benefits that RPA brings to the table:
- Increased Efficiency: RPA automates repetitive tasks, freeing up employees to focus on strategic and value-added activities. This shift can lead to a significant increase in overall productivity.
- Improved Accuracy: RPA can minimize errors in data entry and processing, enhancing data quality and reducing the risk of costly mistakes.
- Enhanced Compliance: RPA can automate tasks that require manual intervention, helping to ensure compliance with regulations and reducing the risk of non-compliance.
- Increased Flexibility: RPA can automate tasks that are not easily automated with other technologies. This flexibility allows organizations to be more agile and responsive to change.
- Reduced Costs: RPA can reduce costs by eliminating the need for human intervention in certain tasks. This reduction can lead to significant savings in labor costs.
Revolutionizing Industries with Robotic Process Automation: Case Study by Kanerika
From streamlining HR recruitment processes to equipping global insurance companies with robust fraud detection capabilities, Kanerika’s expertise in the RPA domain is vast and varied.
Let’s discover how Kanerika’s innovative Robotic Process Automation (RPA) solutions have revolutionized industries. These case studies highlight the tangible benefits and the significant impact of automation on various industries.
Robotic Process Automation Case Study I
Client: A prominent Foods Company based in the UK.
Challenges:
- Manual HR onboarding and offboarding processes causing delays and inefficiencies.
- Legacy documentation procedures and isolated data leading to coordination problems and missed deadlines.
- Remote onboarding complications and delayed SLAs impacting employee engagement.
Solution:
Kanerika implemented Robotic Process Automation (RPA) to address these challenges to optimize HR processes while ensuring policy compliance, enhancing accuracy and cost savings.
A flexible RPA workflow was configured for Cloud and on-premises environments, improving process visibility. The company streamlined the overall process flow and utilized RPA tools to boost efficiency and enhance the employee experience.
Data security was maintained through Active Directory (AD) implementation.
Results:
Implementing RPA eliminated manual process delays, resulting in 50% faster onboarding. Improved workflow and data visibility, enhanced coordination and reduced missed deadlines.
Remote onboarding processes were smoother, with an 84% improvement in SLA adherence and a twofold increase in data handling capacity.
Robotic Process Automation Case Study II
Client: A renowned Global Insurance Company.
Challenges:
- Manual insurance claim processes result in financial losses and inefficiencies.
- Absence of a reliable fraud detection system leaving the company vulnerable to fraudulent claims.
- Inflexible processes and human intervention obstruct efficient data analysis and critical detail identification.
Solution:
To overcome these challenges, the company implemented AI/ML-powered Robotic Process Automation (RPA) for fraud detection in insurance claims, significantly reducing fraud-related financial losses.
Leveraging predictive analytics, Artificial Intelligence (AI), Natural Language Processing (NLP), and image recognition, the company monitored customer behavior, enhancing customer satisfaction.
AI/ML-driven RPA solutions were introduced for fraud assessment and operational excellence, leading to substantial cost savings.
Results:
Implementing AI/ML-powered RPA led to remarkable improvements in fraud detection for insurance claims. Manual inefficiencies were eliminated, leading to a 20% reduction in claims processing time.
Adopting advanced technologies significantly enhanced customer behavior monitoring and improved overall operational efficiency by 25%. These factors led to a 36% increase in cost savings due to reduced financial losses from fraud.
Robotic Process Automation Case Study III
Client: A prominent IT Solutions Company.
Challenges:
- The HR team was overwhelmed by the excess workload from manual recruiting, leading to delays and inefficiencies.
- Risk of losing qualified candidates from different portals affecting the hiring process and the quality of hires.
- Lack of a centralized data store and easy access hampering decision-making and operational effectiveness.
Solution:
Kanerika implemented end-to-end process automation using UiPath to address these challenges, streamlining candidate screening and enhancing efficiency.
An HR Bot was deployed to receive, filter, and consolidate resumes from various portals, improving candidate management.
This ensured accurate candidate evaluation, correct routing, and efficient candidate handling, ultimately enhancing the quality of hires.
Results:
The RPA-driven recruitment process significantly reduced the HR team’s workload, leading to a 30% increase in conversion rate.
The automated resume-handling process minimized the risk of losing qualified candidates, improving the overall quality of hires through a 46% increase in time-to-hire. This resulted in a 70% reduction in HR workload.
Why Choose Kanerika for RPA Implementation
Kanerika is a leading provider of Robotic Process Automation (RPA) services. We have a team of experienced consultants who can help you assess your needs, design and implement your RPA solution, and provide ongoing support.
Why Choose Kanerika for RPA Implementation?
- Experience: CIO Insider magazine chose Kanerika among the Top 10 Most Recommended RPA Start-Ups in 2022. We have a proven track record of success, helping businesses of all sizes achieve their RPA goals.
- Expertise: Our consultants are certified partners of leading RPA vendors, including Automation Anywhere, UiPath, and Blue Prism. This means that we have the expertise to implement RPA solutions on various platforms.
- Scalability: Our RPA solutions are scalable, so you can easily add or remove bots as your needs change. This makes it a cost-effective solution for businesses of all sizes.
- Security: We offer secure RPA solutions, so you can be confident that your data is protected. We use various security measures, including encryption, access control, and auditing, to protect your data.
- Support: We provide ongoing support for our RPA solutions. This means that you can always get help if you need it.
What Can Kanerika Do for You?
Kanerika can help you with all aspects of your RPA journey, from assessment and design to implementation and support. We can help you:
- Identify the right RPA opportunities for your business.
- Design and implement a custom RPA solution that meets your specific needs.
- Migrate your existing manual processes to RPA.
- Provide ongoing support for your RPA solution.
Ready to Get Started with RPA? Book A Meeting Today!
FAQ
What is an example of a RPA use case?
RPA, or Robotic Process Automation, is like having a digital assistant that can handle repetitive, rule-based tasks. A good example is automating the process of entering data from invoices into your accounting system. RPA can read the invoice, extract the relevant information, and populate the fields in your software, saving time and reducing errors.
What are 10 amazing examples of robotic process automation in practice?
Robotic process automation (RPA) is revolutionizing various industries by automating repetitive tasks. Imagine robots handling mundane jobs like data entry, invoice processing, and customer service inquiries. This frees up human employees to focus on more strategic and creative tasks, leading to increased efficiency and productivity. Examples of RPA in action include automating order fulfillment, managing customer support, and streamlining financial transactions.
Can you give an example of a task that RPA can automate?
RPA can automate repetitive, rule-based tasks that humans typically perform on computers. For instance, imagine an employee manually entering customer data from emails into a spreadsheet. RPA could automate this by extracting data from emails, validating its format, and then filling the spreadsheet automatically, freeing up the employee for more complex tasks.
How is RPA used today?
RPA, or Robotic Process Automation, is used today to automate repetitive, rule-based tasks in various industries. It's like having a virtual assistant that can handle mundane tasks like data entry, invoice processing, and customer support inquiries, freeing up human employees for more strategic and creative work. Think of it as a digital workforce that operates alongside human employees, streamlining processes and increasing efficiency.
Is RPA an example of AI?
RPA (Robotic Process Automation) is not strictly considered AI. While RPA can automate tasks by following pre-programmed instructions, it lacks the ability to learn and adapt like AI. Think of RPA as a skilled assistant who follows your detailed instructions, while AI is a more independent thinker capable of learning and evolving.
Which is the best RPA tool?
The "best" RPA tool depends entirely on your specific needs and priorities. Consider factors like your budget, the complexity of your automation tasks, the skill level of your team, and the platforms you need to integrate with. Researching and comparing various tools, like UiPath, Automation Anywhere, and Blue Prism, will help you find the one that fits your unique business context.
What is the use case of RPA in HR?
RPA in HR automates repetitive tasks, freeing up HR professionals for strategic work. Imagine using RPA to automatically process new hire paperwork, update employee records, or generate payroll reports. This not only boosts efficiency but also reduces errors, allowing HR to focus on building a strong company culture and attracting top talent.
What is an example of a company using RPA?
Imagine a bank with thousands of customer requests for simple tasks like balance checks or address updates. Using RPA, they can automate these tasks by creating "bots" that mimic human actions on their systems. These bots process requests much faster than humans, freeing up staff for more complex tasks and improving customer service.
In which cases RPA will not apply?
RPA shines when tasks are repetitive, rule-based, and involve structured data. However, it struggles with tasks requiring creativity, judgment, or dealing with unstructured information. For instance, RPA wouldn't be suitable for tasks involving complex decision-making, nuanced customer interactions, or analyzing open-ended text data.
How is RPA used in banking?
RPA in banking automates repetitive tasks, like data entry and transaction processing, freeing up employees for more complex work. It improves accuracy and efficiency by eliminating human error, speeds up transaction times, and reduces operational costs. RPA also helps banks comply with regulations and security standards, ensuring a secure and reliable banking experience.
What are the use cases of process automation?
Process automation is like having a tireless, efficient assistant for repetitive tasks. It can streamline workflows, freeing up human employees for more complex and creative work. From automating data entry to managing customer service inquiries, process automation boosts productivity and improves accuracy across various business functions.
What is the best use of RPA?
RPA shines when automating repetitive, rule-based tasks that are currently done by humans. This frees up employees for more complex, creative, and strategic work. Think of data entry, invoice processing, or scheduling appointments – tasks where robots excel at accuracy and speed. Essentially, RPA excels at freeing up human potential by handling the tedious and repetitive.
What is the main use of RPA?
RPA, or Robotic Process Automation, is essentially a digital workforce that automates repetitive, rule-based tasks previously handled by humans. Think of it as a virtual assistant that can tirelessly process data, fill forms, and even make calculations, freeing up your team to focus on more strategic and complex tasks. This helps businesses improve efficiency, accuracy, and cost-effectiveness.
In which scenario can RPA be helpful?
RPA shines when you have repetitive, rule-based tasks that are currently done manually. Imagine a process that involves data entry, form filling, or simple calculations - these are perfect candidates for RPA automation. By letting robots handle these mundane tasks, your human workforce can focus on more strategic, creative, and value-adding activities.
How to automate using RPA?
Robotic Process Automation (RPA) automates repetitive tasks by mimicking human actions on a computer. It uses software "robots" to interact with applications, extract data, process information, and trigger actions, freeing up humans for more complex work. This automation process typically involves identifying repetitive tasks, designing workflows, configuring bots, and testing the automation.
