Banking Process Automation: The Key to Driving Efficiency and Profitability

Banks are using APIs for one or more of the following four main reasons — reach, speed, domains, or the Internet of Things (IoT). RPA is used for both credit and debit card management to improve and simplify such activities as a replacement or upgrade, for instance. All audible information is delivered privately through a standard headphone jack on the face of the machine. Encryption of personal information, required by law in many jurisdictions, is used to prevent fraud.

In many cases, RPA and AI can complement each other within the finance industry, with RPA handling process automation and AI adding intelligence and insights to various financial tasks and processes. It is an application that processes transactions, manipulates data or triggers responses, depending on the scope of the request. RPA technology is especially beneficial for regulated industries with high volume and transactional business processes. In 2019, anti-money laundering compliance costs totaled $31.5 billion for financial institutions in both the US and Canada. According to studies, highly skilled analysts who are supposed to uncover such crimes are wasting around 75% of their time collecting data and another 15% entering it into the system. Both tasks can be automated allowing anti-fraud professionals to focus on their main job.

How does BPA benefit banks and their customers?

A positive side benefit of RPA implementation is that processes will be documented. Bots perform tasks as a string of particular steps, leaving an audit trail, which can be used to granularly analyze what the process is about. This RPA-induced documentation and data collection leads to standardization, which is the fundamental prerequisite for going fully digital. Automation allows you to concentrate on essential company processes rather than adding administrative responsibilities to an already overburdened workforce.

That is why the technology is relatively young in terms of legal regulations it requires to be implemented – the ones issued by the central banks, the government, and other parties. Before the advent of RPA, automation options were cumbersome to integrate and limited in scope. For example, simple macros were popular with Microsoft Office applications like Excel spreadsheets. Another example would be traditional IT process automation solutions that exploit APIs to enable the connection between enterprise applications. The major advantage of RPA over traditional automation solutions is that it functions on top of applications and mimics human actions at the user interface level. Thus, in order to function properly, RPA software doesn’t require changes in the existing applications, nor does it require their replacement.

Quality Patient Experience Driven by Smarter Tools

With RPA tools providing a drag and drop technology to automate banking processes, it is effortless to implement & maintain automation workflows without any (or minimal) coding requirements. Once correctly set up, banks and financial institutions can make their processes much faster, productive, and efficient. RPA allows for easy automation of various tasks crucial to the mortgage lending process, including loan initiation, document processing, financial comparisons, and quality control. As a result, the loans can be approved much faster, leading to enhanced customer satisfaction. We can expect the introduction of more visualized, attractive, and trendy mobile apps in future digital banking trends. Banks will now invest thoroughly in creating innovative mobile banking apps, as customers need enhanced user experiences along with functionality.

• If the difference is higher than a pre-defined limit, then raise operational risk management (ORM) ticket in the core banking system.
• Still, instead of abandoning legacy systems, you can close the gap with RPA deployment.
• We are here for you if you want to change the location of your KePlus systems and support you with the change of location.
• Major banks like Standard Bank, Scotiabank, and Carter Bank & Trust (CB&T) use Workfusion to save time and money.
• These tools help businesses and marketers manage and nurture leads, engage with customers, and optimise their marketing efforts.

IA can also build credit risk models and identify a band of low credit risk for an applicant. Based on this, if the applicant qualifies for a higher loan, organizations can carry out upselling. A leading bank with over 10 million customers wanted to transform the account creation experience to improve customer satisfaction and reduce operational costs. For example, RPA can reduce loan processing times, leading to happier customers who want to conduct more business with the bank. Staff can use RPA tools to collect information and analyze various transactions against specific validation rules through Natural Language Processing (NLP). If RPA bots find any suspicious transactions, they can quickly flag them and reach out to compliance officers to handle the case.

By letting bots fuel the more repetitive functions of their organization, banks keep their processes and sensitive information close to home. More importantly, process automation is far more efficient at addressing these banking challenges than human staffing. BPA elevates this continuous satisfaction climb with a shift from basic web services to seamless, end-to-end banking experiences. This approach to automation aims to absorb time-draining manual processes from the digital workload, ultimately augmenting the decision power of human staff. RPA is focused on automating routine and repetitive tasks, while AI is centered around mimicking human intelligence and making predictions or decisions based on data.

It can help improve visibility into end-to-end processes for better control and compliance and lower risk. Automating a banking operation can also save bank employees time and free them to do higher-value work such as focusing more on customer service—all of which can mean a better, more profitable experience for employees, customers, and a bank. Banking processes automation involves using software applications to perform repetitive and time-consuming tasks, such as data entry, account opening, payment processing, and more.

The back-end functions that fulfill these requests require a balance of customer security, risk, and convenience. However, legacy processes are showing their age as manual, paper-heavy tasks drag far behind BPA-equipped digital competitors. Now as the digital experience becomes the norm, Capco has learned that 72% of customers want the personal relationships they expect with in-person banking. For instance, 34% of Millennials would prefer a tooth cleaning to calling their bank’s support line. Customers now expect their bank to pull context from their account history and past interactions, creating a less cumbersome journey from problem to solution.

As customers become more familiar with digital banking tools, they still need someone to answer their questions. This creates the need for a virtual, 24/7, quick, and effective customer service system. With the growing user base of digital banking, the importance of cybersecurity will continue to rise. Speed has traditionally been the enemy of quality control, nuanced decision-making and regulatory compliance. Traditionally a slow and steady process, assurance lies at the heart of all BFSI businesses. For example, our client, an Oil & Gas company, managed to save 12 weeks per year for each of the 6 FTE processes automated with the help of RPA.

The use of a gateway manages external data flows with partners, such as banks, employers, pension funds, insurance providers, brokers and more. Ultimately streamlined data flows enable better customer experience, providing better results and performance for the organisation. This technology will standardise and secure your file transfers across the business and scale as needed, whilst supporting the move to open banking. Automate corporate banking processes like salary upload, term deposit, tax payment, etc., with Intelligent Automation.

As the technology matures and becomes a must for more financial institutions, the burden of regulatory complexity is slowly but steadily being eased by digital transformation agents and tools. In their Robotics and Cognitive Automation report, Deloitte included process standardization and organizational misalignment among the top challenges in implementing RPA in banking. The difficulty is rooted in the traditional separation of IT and business departments that handle different operations. To integrate RPA solutions in an organization, a new distribution of roles and responsibilities is required to create an alignment between the teams involved. This hurdle, in turn, implies the challenge of process standardization related to unstructured data and non-standardized processes that require human input.

Maintenance services

IBPMS, or intelligent Business Process Management Software, gives you adaptive tools to model, assess, and re-model your processes with less human intervention. Compliance and risk reporting involves regular evaluations of all banking activity to report any fraudulence, misconduct, and concerning events to industry regulators and internal directors. BPA slims down the mess by encouraging processes to go “digital” and peeling away simpler, automation-ready tasks from complex labor best suited for human attention. In addition, customers feel their bank should offer a frictionless flow across service channels. Even with the expansion of digital, the Capco survey found that roughly 2 in 3 customers still want the option to speak with human support.

An IDP tool could be used to “read” such documents, identify and extract required data, and convert it into a structured format. At that point, the RPA tool could be employed to take the now-structured data and enter it into a downstream processing or analytics tool. The Indico approach to intelligent process automation for financial services is fundamentally different from earlier technologies such as RPA and templated approaches that use optical character recognition (OCR). Such approaches only work with documents that are highly structured, where the same data is in the same place each and every time. Rather, they are unstructured, meaning relevant information and data may appear anywhere in the document.

Secure, managed file transfer streamlines data flows and provides a single point of control. This simplifies auditing and reporting for compliance purposes, whilst enabling a real-time view of data. Use our banking chatbots to automate conversational processes to increase customer engagement.

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