Contact us anytime to know more — Kuldeep K., Founder & CEO CISIN
What Is Robotic Process Automation (RPA)?
Robotic Process Automation is often heralded as one of the critical strategies in staying ahead of digital disruption as an easy and cost-efficient means to speed up critical processes while increasing life span and saving costs in existing systems.
Robotic Process Automation (RPA) is an increasingly popular software platform that facilitates the design, deployment and administration of digital robots modeled after human movements interacting with digital applications and systems.
Nanonets is one such example. Robotic Process Automation can be an essential element in the digital transformation process; however, enterprises often rely on temporary automation solutions without planning intelligently for long-term automation plans to avoid temporary solutions and expensive disruptions.
Value of RPA
Healthcare organizations operate nonstop. Any slowdown caused by error-prone tasks that consume too much time or are time-consuming has the potential to affect compliance, cost and patient satisfaction negatively - and RPA provides efficiency by automating processes that increase reporting accuracy while speeding decision-making processes, allowing quicker responses and free use of resources where they're most needed.
RPA automates logic- and structured-data-based tasks by using business rules engines for making decisions governed by predefined rules.
RPA can even manage unstructured datasets by extracting them before using tools like optical character recognition and natural language processing to convert them to structured information. RPA solutions combined with AI can create intelligent automation - called cognitive automation - designed to mimic human actions through bots.
Robotic Process Automation in Banking
Robotics refers to applying powerful software to automate robotic processes in various fields, such as banking. Robotic process automation in banking serves as a vital solution to meet the ever-increasing demands of this sector and improve efficiency by cutting costs through services through software models.
Banks and financial institutions must adopt a more strategic rather than tactical approach to fully capitalize on opportunities presented by AI/automation technologies in the coming years.
Machines will likely perform 10%-25% of tasks for various banking functions, increasing capacity while freeing employees up for other, more valuable tasks. According to one report, RPA growth can be measured by its financial services industry reaching $2.9 billion - this represents a dramatic surge when RPA services totalled only $250 million.
The Power of Automation in Banking
Banks and financial institutions reported spending an estimated total of over $321 Billion over ten years for fines, compliance activities and related costs; annually, banks spent approximately $270 Billion just on compliance activities alone (representing almost 10% of operating costs for banks).
Automating Banking/FINTECH
Rising costs, regulatory penalties, and stringent compliance demands slow processes while diminishing customer satisfaction, service delivery satisfaction, and degrading customer experience.
Hiring more staff does not provide solutions; we need new approaches for meeting regulatory compliance while cutting operational expenses.
Robotic Process Automation helps banks and finance companies enhance customer experiences while decreasing costs, increasing compliance levels, mitigating risks and optimizing overall performance.
Its low-code technology makes this an excellent solution for financial institutions like banks. RPA technology is increasingly employed within banking to streamline repetitive processes and increase productivity through real-time customer engagement.
RPA requires extensive employee training and inputs with structured inputs from expert users, along with governance requirements.
Once appropriately implemented, RPA-based bank robots have complete control of mouse- and keyboard actions on banking systems, such as clicking open applications, emailing information, or copying/pasting it back in again. These robots operate similarly to Excel macros; however, their purpose differs. They're intended to work within banking software on individual fields for seamless functionality.
Want More Information About Our Services? Talk to Our Consultants!
The Top 13 RPA Use Cases in Banking
Robotic Process Automation can be implemented into various processes within banking to free up human labor for more critical tasks, including:
Customer Service
Every day, banks must respond to numerous customer queries ranging from information on accounts to updates on application statuses to balance details - making responding rapidly often challenging.
Over 80% of those who used chatbots to inquire about products over the past year would not use them again, while 46% prefer branches.
RPA automates such rules-based processes to provide instant answers and reduce turnaround time to mere seconds - freeing up resources for more critical tasks.
RPA utilizes artificial intelligence to find solutions to questions that require decision-making quickly. At the same time, Chatbot Automation uses Natural Language Processing to build bots capable of understanding natural speech and communicating naturally with its users as humans would.
Compliance
Bankers face stringent regulations regarding compliance regulations. Accenture's 2016 survey discovered that 73% of respondents believed RPA could serve as an essential means for compliance by improving process quality while increasing productivity.
Accounts Receivable
The accounts payable process can be tedious but straightforward: this involves collecting vendor details, validating that data and processing payment through RPA without needing human intelligence for its solution.
Bank Card Payment Processing
Traditional credit card processing took banks several weeks to verify customer data and approve credit cards, leaving many unhappy with the wait and banks shouldering some of the bills for doing it themselves.
With RPA technology now at their fingertips, however, banks can process applications within hours; RPA talks to multiple systems simultaneously to validate information such as required documents, background check results and credit checks before using rules-based decisions to approve or reject applications accordingly.
Mortgage Loan
Processing a mortgage typically takes 50-53 days in the United States. Approval requires various checks such as credit checks, repayment history reviews and employment verification verification - any errors could slow the entire process significantly, but RPA (Rules Based Automation) could speed things up significantly.
Fraud Detection
With digital systems becoming ever more pervasive, banks face increased threats of fraud detection. Banks find it challenging to keep tabs on all transactions in real-time and identify suspicious patterns; RPA offers real-time monitoring that quickly flags potential fraudulent patterns while shortening response delays by stopping or blocking fraudulent transactions or accounts - offering banks peace of mind when fraud prevention measures may otherwise fail.
KYC Process
KYC compliance is an obligatory process banks must conduct for every customer they service and requires 500 to 1000 FTEs (Full-Time Equivalents) to perform checks to meet these regulations, banks are spending over $384 million each year to remain compliant.
General Ledger
Banks must update the general ledger with financial data that includes revenue, assets and liabilities, expenses and revenue to generate financial statements for stakeholders and media access.
Information contained within a financial statement influences the bank's brand identity if overly detailed statements exist.
Reporting Automation
Reporting Automation Banks, like all public companies, must prepare and distribute reports to stakeholders as evidence of their performance so there can be no room for error when producing these vital reports.
Bank Account Closure Procedure
Each month, banks are expected to receive requests to close accounts due to customer neglect in providing the documents required.
One reason could be they forgot!
Underwriter Support
Underwriting involves assessing risk in financial transactions like bonds, loans and insurance policies. Collecting data manually before it's entered into systems takes considerable time and effort; RPA plays a crucial role in automating this process for banks that use automated underwriting processes, so decisions on loan decisions are determined using algorithms rather than human decisions.
Cash Collection And Deposits
Financial and banking organizations face difficulty collecting cash for deposits and mistakenly collecting tasks at multiple points of sale before migrating them accurately across branches.
RPA can assist banking industries by automating data record management; instead of depending on humans to maintain records from various sources, RPA will integrate all records from multiple sources into one central database, allowing easier access and maintaining the security of transactions without risk or theft from occurring as well as detecting any fraudulent activities which might otherwise take place.
The Account Opening Process
Account origination can be an extensive and time-consuming process that entails applying, underwriting and disbursing funds.
To complete this step of origination successfully, staff at banking service desks need to complete multiple origination steps, such as pre qualifying documents, application processes, underwriting processes, credit decision quality checks, and loan funding. RPA technology eliminates errors and data entry throughout the loan application and approval processes while speeding up processing time and adhering to regulatory laws.
RPA Opportunity in the Banking and Financial Sector
Banking and financial institutions with manual processes often find that this negatively compromises productivity levels and customer satisfaction.
RPA provides banks with an ideal means of automating many essential processes.
Customer Service
Banks often experience difficulty answering all the customer inquiries they receive every day- from balance queries to account details- in a timely fashion.
RPA technology allows banks to automate routine, rule-based processes that enable real-time responses to customer needs.
Card Processing at Banks
Banks take time and care when processing credit card applications from potential clients, often taking days before deciding on approval or denial.
RPA can facilitate faster decisions about whether an application should be approved/disapproved using rules-based approaches.
Close Your Account
Banks receive many monthly requests to close accounts due to clients not providing the necessary paperwork; one factor could be a failure of documentation from clients themselves.
Robotic Process Automation services allow banks to address this challenge head-on by tracking accounts that require documents, notifying all accounts automatically and sending reminders about needing these files.
RPA Benefits in Banking & Finance
Remote Process Automation offers numerous advantages to both banking services providers and clients in financial environments, so here are a few critical points of benefit from RPA usage for these industries:
Scalability
These robots can scale quickly up during high-volume business peak hours by adding more robots into your system and responding quickly and decisively when situations arise.
RPA allows banks to focus on innovative business strategies by freeing employees from mundane administrative duties.
Enhancing Operational Efficiency
Banks and financial institutions whose systems have been configured correctly can boost speed, productivity, and efficiency during operations.
Cost-Effectiveness
Want to save money? Cost savings in banking are just as essential to its operations as they would be with any business.
Banks and financial institutions may achieve savings of 25-50% in processing costs and time through efficient operations management practices.
Report on Compliance and Risk
RPA helps generate audit trails of each process to maintain compliance while mitigating risk.
Available
Robots are readily available around the clock to complete any task assigned, emphasizing their accessibility. They will always do what needs to be done!
No Infrastructure Cost
One advantage of RPA's use in financial sector applications is that its user interface automation capability does not necessitate significant infrastructure modifications; cloud-based RPA significantly reduces hardware and maintenance expenses.
Implementation is Fast
RPA offers a drag-and-drop technology for automating banking processes, making implementation and maintenance of automation workflows quick and effortless - even without extensive coding knowledge!
Leverage Your Legacy Data to Expand Your Business
RPA allows banks and the financial industry to use legacy data and acquire new information to bridge gaps between processes.
Banks can benefit by creating faster reports with this type of data infusion.
Read More: What is Robotic Process Automation? RPA: When and Where?
5-step guide for a successful RPA implementation
The Process to Identify
Assess and Determine for RPA Implementation any transformation process must be thoroughly identified; look closely at processes within and between departments as part of this evaluation process.
As most businesses operate within complex environments, this task may prove challenging. Use the below attributes as guidelines for determining the suitability of the automation process within each organization.
Considerations such as compliance, impact, cost, complexity and technicality may also prove invaluable when selecting processes for RPA implementation. Make this step part of your RPA journey to guarantee its success!
People Management
RPA does more than automate machine processes - it also changes how we interact and interact with one another. Once identified processes have been identified, employees must remain convinced about its benefits; otherwise, it could jeopardize automation's success and put you out of business! If communication breaks down, then automation could fail altogether.
Transparency is crucial when communicating the significance of any procedure or practice, especially automation.
You might feel uneasy with automation; therefore, an open and honest discussion between all involved is required for an optimal decision-making process. CIS leads RPA service providers that guide businesses towards taking appropriate actions.
RPA operates straightforwardly, eliminating redundant work and increasing productivity without replacing jobs with automation technology.
To make RPA successful, the ideal situation would be creating a cross-functional team to oversee implementation; they should then be empowered and educated on operational challenges while further expanding RPA technology adoption. At this phase, it's critical that IT and HR work in coordination to ensure RPA configuration and incorporation are comprehensive and precise.
Once ready to adopt RPA in their company, selecting an experienced vendor must come next.
Selecting an RPA Vendor
Each industry has unique needs that must be fulfilled by RPA vendors who understand them and can offer tailored solutions.
To select successful vendors for Robotic Process Automation Companies or organizations are advised to evaluate themselves on which tools are required in achieving RPA successfully, their credentials as an organization about technical skills verification as well as governance experience or development experience as a checklist; ultimately it's vendor automation capabilities which help facilitate its successful deployment.
The Idea
Before commencing the implementation of your idea, it is imperative to create an organized approach and define your strategy clearly.
Appoint a group to establish requirements and guideline principles for each business unit. It is time to select an implementation partner, whether hiring an RPA provider or in-house talent. Ensure the partner you select possesses all necessary domain expertise and technical and functional know-how.
Next, create a process map illustrating the areas you wish to automate and document their function using RPA bots.
Finally, program it according to these specifications, ensuring all departments and people involved work in harmony during programming once finished with testing its module.
Utilize random outputs of bots for evaluation purposes before reviewing. Use test results as evidence of potential bugs to help address them more rapidly and accurately.
Configure bots to be adaptable and responsive, then inform all stakeholders of their roles and responsibilities concerning robotic process automation. Next step: Double-check everything before going live! Happy Planning!
Measure Performance
RPA must provide clear benefits or growth following implementation to make sense as an effort worth making. To accurately gauge its efficacy, create KPIs (key performance indicators).
After your latency period ends, conducting tests will allow you to identify gaps or mismatches within your RPA plan and correct them as necessary.
Top 10 Trends in Robotic Process Automation
The Adoption Of Managed Rpa Service Providers Has Increased
RPA was initially tricky for businesses due to its complexity; however, several RPA providers offered services designed to simplify its adoption and ease implementation costs for many organizations due to deployment, infrastructure planning and resource needs.
Managed service providers offer organizations looking to outsource automation an alternative option; 2023 should bring us an increase in managed RPA Service Providers.
SME Adoption of Robotic Process Automation
Small and medium businesses quickly realized RPA's value during the pandemic. As business conditions shifted, more SMEs incorporated robotic process automation to remain competitive and adaptable to changing conditions.
By 2023, more SMEs are expected to adopt RPA to streamline operations while being competitively advantaged in business operations.
RPA Center of Excellence
A RPA CoE (RPA Center of Excellence) is an enterprise group responsible for successfully deploying Robotic Process Automation in enterprise organizations.
Composed of IT specialists, consultants, project managers and other experts, their primary purpose is to develop a business model and governance structure designed to maximize ROI; to integrate RPA seamlessly and shorten development cycles for maximum return; provide support training to ensure seamless RPA experiences within companies - various RPA CoEs will be established between now and 2023 to offer smooth RPA experiences.
Hyper-automation System with RPA and Low-Cost Vendors
As more RPA providers enter the market, competition between them becomes fiercer than ever. As RPA's popularity increased, so did more low-cost RPA vendors.
In response, many top RPA vendors began offering hyper-automation technologies such as OCR, Artificial intelligence and machine learning as part of their suites to stay ahead of rivalries; more RPA providers will soon start including these technologies alongside RPA solutions.
Integrating RPA into an Intelligent System
RPA will become part of intelligent systems such as machine learning and artificial intelligence by 2023. RPA bots are capable of performing rule-based tasks associated with software or apps; artificial intelligence, machine learning, and other intelligent systems mimic human behaviors to perform complex tasks that involve judgment, reasoning and decisions, whilst intelligent RPA uses can perform repetitive tasks cognitive functions and forecasting on structured and unstructured information sources.
RPA in Enterprise Resource Planning
Enterprise Resource Planning, or ERP software, stores an organization's critical information and manages day-to-day activities like accounting and purchasing.
However, ERPs can be costly, complicated, have implementation issues, migrate data issues between systems poorly and require manual data entry that takes too much time, is error-prone and error-costly - replacing ERP with RPA will become increasingly significant as businesses adopt it to their businesses over the coming year. Employees can create workflows so a bot can complete tasks on their behalf or record processes using code generation technology - making RPA an integral component in shaping ERP's transformation over the coming year.
RPA as Service Model (RPAaaS)
RPA as a Service (RPAaaS) has grown increasingly popular within organizations in recent years. Many adopted it without incurring additional expenses or exertion - particularly banks using RPA.
RPAaaS will become the norm across industries over time with its unique set of capabilities that it brings along.
Semantic Automation Process for RPA Technology
Bots do not understand what they're performing or how. RPA bots (digital employees), known as semantic automation bots, can complete tasks using rule-based systems.
In contrast, RPA bots complete them through observation of activity - humanlike bots can even grasp documents, interfaces and context. Businesses will now have more time to focus on solving real business issues without dealing with paperwork and user interfaces.
Want More Information About Our Services? Talk to Our Consultants!
Final Thoughts
RPA has become popular with banks and financial organizations as an opportunistic point-based solution, quickly implemented compared to large-scale transformation projects.
Robotic Process Automation Solutions have the potential to transform the banking industry by automating tedious manual processes that waste time, effort and workforce. Automating such mundane processes will lead to higher productivity rates with reduced error rates and faster turnaround timeframes.
Working with an RPA partner with extensive expertise is paramount for banks and financial organizations utilizing RPA technologies and tools, providing essential advantages and helping transition from RPA into AI (cognitive processes automation), CPA or any other tools in use today.
Our experts possess diverse areas of knowledge, providing structured methods for developing and deploying RPA. Working closely with you, they will develop an RPA roadmap, select suitable tools, create a proof-of-concept with a set time limit, perform governance, set up a team, test, and deploy solutions
