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Intelligent Automation in Financial Services & Banking in 2023

One of the best examples of RPA in banking is the automation of the complete AML investigation process. The process is highly manual and takes anywhere between 30 to 40 minutes for investigating a single case depending upon the complexity and availability of information in various systems. These repetitive and rules-based tasks can be easily automated with RPA, enabling more than a 60% reduction in process turnaround time. The automation not only helps in eliminating manual errors but also saves significant time and effort for the back-office operations team. Today, RPA has become an essential tool for most businesses, including banks. The banking industry is witnessing rapid turbulence caused by the global pandemic and economic instability.

Here are the primary benefits organizations have seen from implementing business process automation. This statistic is especially relevant for the banking and financial services industry, which are one of the most data-driven sectors of the economy today. That’s why digitization with the help of modern and secure solutions is so important for building a competitive advantage. Autonom8’s hyperautomation platform can potentially benefit the banking sector, including cost reduction, improved customer experiences, enhanced accuracy, and compliance with regulatory requirements. That is one major factor why process automation can yield particularly significant results in banks. Banks were the leading edge also in implementing RPA (Robotic Process Automation) in their processes, which is a commonly used tool for process automation.

Application of Financial Robots Based on RPA Technology in Small and Medium-Sized Enterprises

Today, financial organizations are customer-centric, and they strive to provide the best possible experience. Modern technologies can help a lot here by analyzing customer behavior patterns and preferences. This is how organizations provide the best products and services in areas ranging from wealth management to investment advisory. By using robotic advisors, banks can interact with customers promptly and provide high-quality assistance even in the most complex issues.

According to GlobalData’s Technology Foresights, which uses over 195,000 patents to analyse innovation intensity for the banking industry, there are 60+ innovation areas that will shape the future of the industry. If you are interested to learn more about the use of Nividous RPA in the banking industry, watch the on-demand webinar on ‘RPA in Banking and Financial Services’ today. There are numerous RPA use cases in banking in addition to what is mentioned in the infographic. The list below highlights some of the most rewarding RPA use cases in the banking industry.

Ticketing Management

This information is used for preparing financial statements of the banks, which is then accessed by the public, media, and other stakeholders. And it is also a great example of how banking has always been an innovative industry. Take advantage of RPA’s high cost efficiency and fast ROI, saving 25-80% on current operating costs. Eleviant Tech symbolizes business transformation and reinforces our mission to help clients elevate and scale their business. As we’ve discussed in our previous article on IPA vs RPA, augmenting RPA with AI and other innovative technologies is a definitive next step toward digital transformation. This was a lesson we learned early on in our own RPA deployment in Deloitte.

• Functions like order-to-cash, procure-to-pay, record-to-report, financial planning, and accounting (FP&A), and finance operations hold a very critical position for any BFSI.
• Today, banks and financial services companies implement automation solutions to streamline processes, accelerate delivery, and provide a better experience to their customers.
• Automation in mortgage lending allows banks to accelerate these processes, including mortgage fraud checking, better loan workflow navigation, and reconciliation process management.
• It is important to first find manual processes that could stand to improve through the efficiencies brought on with intelligent process automation.
• No one knows what the future of banking automation holds, but we can make some general guesses.
• With threats to financial institutions on the rise, traditional banks must continue to reinforce their cybersecurity and identity protection as a survival imperative.

Banking and financial sector players usually deal with large volumes of common client queries. By applying automation, companies cut turnaround times and optimize their internal workflows. Furthermore, banks can combine automation with artificial intelligence, which allows them to replace even more types of repetitive jobs.

Leveraging Artificial Intelligence in HR: Transforming Recruitment and Talent Management

Banking process workflow automation is a thing of serious interest to the banking and financial sector. A number of forward-looking banks are deploying workflow automation technologies to scale up their businesses to higher levels of productivity and cost savings. Cflow is intuitive workflow management software that is an end-to-end banking process automation platform. This combination of multiple technologies is expected to see further advancements in 2023, leading to broader implementation and usage across industries, including hyperautomation in healthcare, insurance, retail, and education. Many leading banks have already started to re-strategize their operational models to leverage automation-led disruption and RPA is one of the key technology enablers in the current situation. We, at Nividous, have worked on numerous automation use cases across industries, including banking that range from customer service desk automation, employee onboarding, risk compliance management to retail fraud detection.

Automation can streamline your organization’s workflow by taking over the routine work and leaving the larger, more complex tasks in the hands of accountants. Instead of spending two to three weeks gathering all spreadsheets and documents, and pushing tasks through the review and approval process, you could shrink the time spent on the financial close cycle by up to 50%. Financial automation allows employees to handle a more manageable workload by eliminating the need to manually match and balance transactions. Having a streamlined financial close process grants accounting personnel more time to focus on the exceptions while complying with strict standards and regulations.

Future of money: Will we see bank cards swallowed up for good?

By gaining access to real-time customer data, EBCx utilizes NLP and Meta-Learning to deliver a more personalized experience to customers. Leave us a short message and our team will contact you back to answer the questions you have. Based on your requirements we’ll help with the best way of process automation. Our developed products meet the most stringent financial regulations, feature numerous frictionless integrations, and tackle the exact problem our clients are facing. Along with regular subscription fees, off-the-shelf solutions often come with upfront license costs which vary significantly and may run into huge sums.

RPA are starting to change the way Banking, Financial

Services and Insurance (BFSI) is doing business. The concept of robotics

automation involves the combination of intelligence metadialog.com with automation. RPA can

produce vast information, data, analysis and workflows which have proven to provide

tangible benefits to banks as well as its customers.

Banking Processes in the Age of Workflow Management

Selecting the right processes for RPA is one of the major prerequisites for success. Relying on intuition rather than objective analysis to select use cases can be detrimental. Selecting use cases comes down to a company-wide assessment of all the processes based on a clearly defined set of criteria. In a nutshell, the more complicated the process is, the harder it becomes to adopt RPA. In the RPA implementation context, the process complexity correlates with standardization rather than the number of branches on a decision tree.

Introducing bots for such non-automated processes can reduce processing costs by 30% to 70%. Several processes in the banks can be automated to free up the force to work on further critical tasks. Digital workflows facilitate real-time collaboration that unlocks productivity. Lastly, you can unleash agility by tying legacy systems and third-party fintech vendors with a single, end-to-end automation platform purpose-built for banking.