Implementing RPA for Banking and Finance Industry Implementing RPA for Banking and Finance Industry

Customer Background

The client is a market leader in the finance business with over 10 million customers. They examine legal documents related to new market products or investments, such as prospectuses, term sheets and pricing sheets with their banking customers.

  • Industry

    Banking & Finance

  • Technologies / Platforms / Frameworks

    RPA, Power Automate


According to Gartner, 80% of leaders in the financial sector are already using some form of RPA for various purposes


Every banking organization deals with heaps of recurring documents. Despite using document management systems (DMS), they still face document inconsistency, security and integration issues with internal systems like CRM and ERP. The amount of time spent on processing each document requires attention to develop corrective and time-effective measurements.

Our client was no exception. Their primary concern was to streamline the entire document process method and save up to 40% of the time spent on handling documents. By resolving these challenges, they aimed to optimize accuracy for their reports that would impact their financial decision-making. Extracting data from their documents was a lengthy process for them, as it included the following issues:

  • Manual document processes
  • Processing unstructured documents
  • Categorizing different document types
  • Validating multiple data points
  • Lack of accuracy in interpreting the text
  • Document inaccuracies leading to financial loss


At Softweb Solutions, we understand that time is a crucial factor for any banking organization’s ability to make the most of their financial services. Our team of experts analyzed their time-intensive document processing approach and recommended robotic process automation (RPA).

We decided to implement RPA in banking and finance to extract and interpret data from different documents and ensure end-to-end document processing. RPA uses optical character recognition (OCR) technology to speed up data extraction time and ensure document quality. It can use a simple workflow to export the documents to where they need to go.

Using our RPA in banking and financial sector solution, they can now swiftly scan any document to identify any gap or inconsistencies, as well as perform the following capabilities:

  • Extract application data
  • Flag missing documents
  • Classify documents for future use
  • Validate key data points
  • Route workflow automation
  • Increase accuracy and speed
  • 75%


  • 30%

    FTE equivalent

  • 65%


  • 80%


RPA for Banking & Finance

Ready to transform with RPA?

Tell us your banking automation processes and we will help you with RPA implementation