Logistics

RPA tools are designed to mimic the same “manual” paths taken by a human by using a combination of user interface (UI) interaction or descriptor technologies. An RPA tool operates by mapping a process for the software “robot” to follow via computer pathways and various data repositories, so RPA can operate in place of a human. An RPA tool can be triggered manually or automatically, move or populate data between prescribed locations, document audit trails, conduct calculations, perform actions and trigger downstream activities.

RPA tools range from solutions that operate on individual desktops with limited ability to take different data feeds to ones that operate on enterprise servers that are able to perform multiple scheduled tasks and meet enterprise security criteria. Some can provide detailed process analytics. RPA tools will evolve over time to offer a variety of functionalities. RPA may be linked to other tools in a software vendor’s product suite with artificial intelligence.

Connect legacy systems, automate repetitive tasks, and tap into disparate data sources to gain more insight about your financial services customers. Online apps, full-service web portals, and real-time account information are prime examples of how digitization drives day to day interactions with consumers and investors. Robotic Process Automation (RPA) can optimize the use of data to keep up with customer expectations and improve the efficiency of internal operations in this competitive market.

• Improve Efficiency

Reduce operational costs, reporting errors and end-to-end customer delivery

• Reduce Fraud

Increase detection and prevention of fraudulent transactions

• Reinforce Compliance

Track and manage data to meet regulatory requirements

Streamline Operations with RPA

Up to 25% of banking processes are likely to be automated in the next few years. RPA can help your organization scale to enhance the customer experience. Use your Digital Workforce to meet consumer needs 24×7.

• Automate Operations

Eliminate manual tasks in back office and customer service operations processes including account opening/closing, payment processing and customer data updates.

• Accelerate Underwriting

Analyze unstructured data files and streamline document-intensive risk assessment and loan/mortgage origination processes.

• Improve Compliance Processes

Enhance KYC and AML compliance by using bots to automate data management activities.