Robotic Process Automation
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Robotic Process Automation (RPA) is transforming every industry and its processes by eliminating tedious tasks and allowing teams to focus on more high-value work. From regular tasks like processing invoices to managing inventory and handling data entry, every industry is moving towards automation to operate more effectively and scale without any roadblocks.
However, bots can't handle every business function independently; therefore, finding the right process to automate is critical. In this RPA guide, we have covered everything you need to know so you can identify automation opportunities tailored to your unique needs and ROI objectives.
What is RPA?
Robotics Process Automation (RPA) is software technology that mimics mundane, repetitive tasks that humans would otherwise perform. Its objective is to save overall organizational resources, so humans have more time and space to focus on strategic tasks.
How RPA Works?
Step 1- Identify What to automate
A business has a number of processes running in various departments, from simpler to complex tasks. The first step is to identify the repetitive tasks that can be delegated to the rpa bots. For this, different process discovery tools guide organizations in collecting data, mapping each process and analysing inefficiencies or inconsistencies in existing processes to be filled with automation.
Step 2- Selecting the right RPA tool
Different RPA tools are available in the market that offer unique features and capabilities to cater to business needs. Once the automated processes are identified based on different criteria, the organization must pick the right RPA tool. The key factors used to differentiate include ease of use, scalability, cost, user interface, compatibility, etc. Some of the top RPA tools currently available in the market include UiPath, Blue Prism, Automation Anywhere, Microsoft Power Automate and Pegasystems.
Step 3- Development and integration
Development and integration are among the most crucial steps. They involve creating and training bots to automate specific business processes. This step is further broken down into several key components, like defining the sequence of operations the bot will perform and defining workflow acts detailing every action they need to take. The integration involves using application programming interfaces (APIs), screen scraping, data mapping and transformation processes so that bots seamlessly interact with various systems and applications to complete their assigned tasks.
Step 4- Testing and Deployment
Testing takes place before the deployment of RPA to ensure its reliability and effectiveness before deploying it in a live environment. Here, bots go through various scenarios to check that they are running without any issues or bugs. After the testing is completed, the bots are ready for deployment. Bots are either deployed in one go or deployed as needed by business processes.
Step 5- Monitoring and Maintenance
This step ensures that the bots deployed are performing as expected. Some activities that undergo this step include tracking resource utilization, checking error rates and types of errors, and monitoring outcomes. The step ends with a security and compliance check. Monitoring and maintenance are necessary to keep an eye out for any review, change, update or support needed in bots.
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Talk to Our Experts TodayBenefits of RPA Technology
Robotic Process Automation (RPA) as a technology offers numerous benefits that can significantly enhance business efficiency, reduce costs, and improve overall operational effectiveness. Here are some of the key benefits of implementing RPA.
1. Increased Speed and Productivity
RPA bots are designed to take over repetitive human tasks, helping organisations significantly speed up overall performance and workflow execution. Delegating tasks to bots frees up employee time to focus on more complex and strategic work, thus boosting overall productivity.
2. Cost Saving
RPA technology can help organisations save considerable amounts of money by reducing the dependence on and need for manual labour in performing mundane and repetitive tasks. Bots also tend to perform tasks accurately and, in less time, so organizations also see higher returns with RPA implementation.
3. Scalability
RPA technology can easily scale up or down based on business needs. Companies can add or modify bots to handle varying volumes of tasks without the need for significant changes to the underlying systems.
4. Employee Satisfaction
By taking over mundane and repetitive tasks, RPA frees up employees to focus on more engaging and strategic work, which can improve job satisfaction and reduce turnover.
5. Customer Experience
Faster and more accurate handling of customer-related tasks, such as queries, processing orders, and managing data, leads to improved customer service and satisfaction.
Types of RPA with Examples
RPA technology can be broadly differentiated based on the business needs and their effectiveness in automating complex workflow processes. By understanding the different types of RPA technology, enterprises can decide which automation strategy will fit best for their specific business requirements.
1. Attended RPA
Attended RPA as the name suggests requires some kind of human intervention to handle tasks and are operated on the same desktop as a human user. These RPA bots are designed to provide real time assistance to humans and reducing their workload. The only limitation of these bots is fully dependent on human initiation and oversight, so their effectiveness is limited to the tasks within the user’s scope of work.
Example: Bots fetching customer data for representative during a call or bots filling out forms based on customer input.
2. Unattended RPA
Unattended RPA bots’ function without human users and designed to execute tasks based on predefined schedules or triggers from backend systems. Top advantages of these bots include the ability to run 24/7 without human intervention, maximizing efficiency and scalability in handling high-volume, repetitive tasks.
- Limitations: Less flexible in handling exceptions or unexpected variations in the process without predefined instructions or escalations to human handlers.
3. Hybrid RPA
Hybrid RPA bots are combination of both attended and unattended automation. Here both type of bots collaborates with human to perform processes at different levels. These bots leverage the strengths of both attended and unattended bots, providing a flexible, full-spectrum automation solution that optimizes both front-office and back-office functions.
Example: In a typical scenario, an unattended bot can handle data processing tasks overnight and attended bots could take over complex tasks requiring human decision-making.
Struggling to find the right automation strategy?
Connect with automation expertsHow Is RPA Different from Other Kinds of Automation?
General Automation requires extensive system integration, programming and technology to perform processes without human intervention. RPA technology on the other hand mimics human repetitive actions using software bots. General Automation is focused more on system or API level while RPA works on user interface.
RPA and intelligent automation
Intelligent Automation works by integrating modern technologies like AI, ML and analytics. RPA, a component of IA, is responsible for handling rule-based repetitive tasks.
RPA and Artificial Intelligence
RPA and artificial intelligence are perfectly complementary. RPA is best suited to performing structured, rule-based tasks, whereas AI is best suited to cognitive abilities like understanding natural language, recognizing patterns, and making real-time decisions. When AI and RPA combine, they result in intelligent automation (IA) that empowers rapid business process automation.
RPA Use Cases from Different Industries
Let’s look at how RPA is being tailored to meet specific industry needs to drive significant improvements in efficiency, accuracy, and productivity.
RPA in Healthcare: Use Cases
The healthcare industry faces rocket high administrative burden, skills shortages and aging population. Healthcare providers are looking for efficient ways to deliver quality patient care. RPA in healthcare creates opportunities to improve manual and duplicated processes freeing up healthcare professionals to care for their patients. Here's a list of the most common RPA in Healthcare Use Cases:
- Document Management and Audits
- Payment Processing
- Claims Management
- Medical Billing
- Patient Registration
- Appointment Scheduling
- Prior Authorization
- Medical Employee Onboarding
- Follow-up Communication
- EHR Tasks and Updates
- Inventory Management
- Compliance Reporting
- Data Migration and Integration
- Data Analytics
RPA in Healthcare: Market Statistics
$2.22B
is the estimated global robotic process automation in healthcare market size in 2024, projected to reach $22.56 billion by 2034, with a CAGR of 26.10%.
-Precedence Research
$6.92B
is the projected U.S. robotic process automation in healthcare market size by 2034, up from $0.67 billion in 2024, growing at a CAGR of 26.31%.
-Precedence Research
78%
of health systems are currently using — or are in the process of implementing — automation in their revenue cycle operations
-AKASA
56.2%
is the share of therapeutic automation in the global healthcare automation market
-Market.us
Related Read: RPA in Healthcare: Benefits, Use Cases, and Choosing the Right Partner
RPA in Manufacturing: Use Cases
The manufacturing sector is one of the early adopters of automation compared to many other industries. This sector faces several uncertainties and challenges, including shortages, time constraints, risk of human error and rendering higher-quality outputs. To survive these challenges, manufacturers need a solid automation strategy that increases their productivity, drives revenue growth and enhances customer experience while helping them maintain compliance, sustainability, and unexpected risks. Here's a list of the most common RPA in Manufacturing Use Cases:
- Administration and Reporting
- Inventory Management
- Material BOMs
- Vendor and Supplier Management
- Invoice Processing
- Purchase Order Creation
- Production Planning and Scheduling
- Production Planning and Scheduling
- Supply Chain Optimization
- Data Management
- Manual Labor Reduction
Related Read: Top 10 Use Cases & Benefits of RPA in Manufacturing
RPA in Finance and Banking: Use Cases
The finance and banking industry has grown rapidly over the past decade, and with the introduction of modern technologies, the prerequisites to stay relevant have become vital.
RPA in the finance and banking industry is getting widely adopted, helping this sector move faster and deliver to customers' expectations. Here's a list of the most common RPA in Finance and Banking Use Cases:
- Data Entry
- Know Your Customer (KYC)
- Credit Checks
- Verifying Applications
- Customer Onboarding
- Loan Processing
- Fraud Detection and Prevention
- Financial Planning and Analysis
- Financial Reporting
- Cheque Processing
- Risk Assessment
- Loan Origination and Approval
- Account Reconciliation
- Tax Compliance
- Financial Audits
- Account Closure
- Accounts payable automation
- Accounts receivable automation
RPA in Banking and Finance: Market Statistics
80%
of financial firms have either implemented or are planning to implement robotic process automation in their business processes.
-Gartner
$30.85B
is the projected global RPA market size by 2030, growing at a CAGR of 39.9% from 2023 to 2030.
-Grand View Research
RPA in Retail: Use Cases
Retail leaders today orchestrate through a number of processes, including inventory management, store planning, sales forecasting, enterprise resource planning (ERP) management and customer support. As customer demands evolve, retailers are growing more agile in navigating the complex and dynamic retail challenges. The key benefit of automation introduction in retail is that it allows retail leaders to shift their focus to more creative, strategic, and value-added tasks.
Capgemini estimates the retail industry could save as much as USD 340 billion a year by automating critical processes like customer returns, supply chain management, updating customer databases, and maintaining inventory records. Here’s a list of the most common RPA in retail Use Cases:
- Sale and Returns
- Inventory Management
- Price and Promotion Management
- Customer Data Management
- Loyalty Program Management
- Email Marketing
RPA in HR: Use Cases
The HR department plays a critical role in supporting any business, from finding the right talent to nurturing and training employees to employee exit management. While playing all these roles, HR faces the major challenge of timely allocation and resolution. That's where RPA in HR operations comes into play, helping HRs work at their fullest potential. Here’s a list of the most common RPA in HR Use Cases:
- Employee Sourcing
- Hiring
- Onboarding Employees
- Offboarding Employees
- Payroll Automation
- Leave and Attendance Management
- Performance Management
RPA in HR: Market Statistics
30%
cost-per-hire savings are achieved by companies through AI recruitment augmentation.
-Deloitte
81%
have reduced time-to-hire with AI.
-TestGorilla
$2,342
in cost of hiring per role is being saved by employers using skill-based tools.
-TestGorilla
37%
of time savings are observed by companies using payroll software.
-Forrester
RPA in Education: Use Cases
Educational institutions today face varied challenges, including staff shortages, endless paperwork, maintaining attendance and answering queries of parents and students. Here's where RPA in education becomes a life, automating all time-consuming, repetitive tasks, freeing up staff and allowing them to concentrate on quality education. Here's a list of the most common RPA in Education Use Cases:
- Answering queries
- Answering queries
- Attendance management
- Data entry and administration
RPA in Automobile: Use Cases
Automotive companies are looking to embrace digital transformation without disrupting ongoing operations, and RPA's ability to integrate seamlessly with existing IT systems is making it an attractive solution.
Gartner report revealed that by 2028, 70% of vehicles sold would utilize Android Automotive OS, a platform that allows frequent updates, smartphone connectivity, and enhanced telematics capabilities. Here's a list of the most common RPA in Automobile Use Cases:
- Inventory Management
- Vehicle Financing
- Order Processing
- Analytics & Reporting
- Customer Service
- Regulatory Compliance
- After-Sales Service
- Invoice Processing
- Supplier Management
- Manufacturing Operations
- Payment Processing
- Data Management
RPA in Oil and Gas: Use Cases
The oil and gas industry experiences increasing demands and numerous transitions due to economic, environmental, and geopolitical factors influencing its growth. Using RPA in this industry can help it become resilient and scale its initiatives. Let's look at some of the common RPA use cases in this industry.
- Rig and Well Drilling Automation
- Remote Monitoring
- Field Operations Automation
- Oil and Gas Production Optimization
- Logistics and Fleet Management
- Regulatory Compliance
- Back-office automation
- Data, Analytics, and Reporting
- Workplace Safety
- Pricing
- Order Processing
- Pipeline Monitoring and Surveillance
- Lease Record Management
- Asset Management
- Procure to Pay Automation
Does your industry face repetitive tasks and inefficiencies?
Speak with our RPA specialistsWhat a Successful RPA Implementation Looks Like?
Learning what a successful RPA implementation looks like is critical before implementing an actual automation strategy. It requires careful planning and understanding of various tools and techniques to realize the right ROI based on the business needs.
Check out this blog for expert recommendations on the prerequisite steps before implementing RPA.
How to Choose the Best RPA Service Provider for your Enterprise?
Selecting the right RPA service provider requires a tailored strategy for your enterprise needs. Here's a structured approach to help you choose the best RPA service provider.
1. Expertise and Experience
Finding the right use case and expertise significantly impacts the success of your automation projects. Every industry and organization have unique challenges and requirements, so it's important to evaluate the track record of an RPA vendor.
2. Technical Capabilities
Another important factor in selecting the best RPA service provider for your Enterprise is assessing technical features like scalability, security measures, and integration capabilities with existing systems. The chosen RPA solution should be adaptable and compatible with all attended, unattended and hybrid automation scenarios.
3. Ease of use
A good RPA vendor should be able to bridge the gap between complex training and technical implementations. This straightforward approach can help you achieve seamless and quicker automation adoption.
4. Compliance and ROI
Consider how the service provider plans to demonstrate ROI through its solutions. This includes not only initial cost savings, but also long-term efficiencies gained through automation. The provider should also have solid governance frameworks for your industry to ensure accurate compliance with industry regulations.
Delivering Measurable Value with RPA
In this guide, we have compiled what RPA is capable of in your industry or business function. Automation implementation has enhanced productivity and reduced overall operational costs in varied sectors. Did you find the RPA use case relevant to your industry or business function? RPA's core advantage lies in its capacity to free up human resources for strategic work for every industry. As a trusted automation vendor, Accelirate bridges the gap between tech and your business goals.