In the financial services industry, RPA not only saves costs but also contributes to the bottom line. Based on market analysts, RPA-driven revenues in financial services are more likely to reach $1.2 billion by 2023, that’s a 400% jump from 2018. It’s also a testament to how the financial services industry is heading towards automation.
The non-intrusive nature of RPA makes it highly compatible with an organization’s existing infrastructure. RPA is a highly scalable/flexible platform, that provides all automation and intelligence capabilities needed to tackle complex workflows, without having to increase headcounts, or having to change existing processes/workflows.
Across financial services, RPA has already helped companies drive business transformation by executing pre-programmed rules across structured and unstructured data. Today, intelligent automation has empowered business processes to gain meaningful insights from prior decisions and data patterns to make better decisions and have better outcomes.
Robotic Process Automation helps midsize financial organizations seamlessly overcome complexities and accommodate future changes. To keep up with the ever-changing market demands, organizations need to evolve and embrace AI to stay in the game.
Use case: Verification & extraction of loan history of clients from various sources and push it to the workflow for further processing.
RPA Practice Head, R Systems
Anant Sharma has over 19 years of experience in the automation industry. Currently, he is leading Global Delivery Project Management, Product & Business Development functions at R Systems.
Anant has graduated from the University of Delhi and has pursued Leadership Development Program from IIM, Lucknow. He is also a certified scrum master. He is a solution-oriented person with a positive attitude.
TBD, Amazon Web Services