What is Robotic Process Automation (RPA)?
Robotic process automation (RPA) is a technology application that automates business activities using business logic and structured inputs. RPA technology simplifies design, deploy and manage Software robots. RPA will partly or fully automatise manual, rule-based, and repetitive human processes. It works by simulating the behaviors of a real person engaging with one or more software applications to perform various tasks like data entry, standard transaction processing or responding to simple client service queries.
Robotic process automation services are often confused with artificial intelligence (AI), but both are different. AI is combination of automation, machine learning (ML), natural language processing (NLP), reasoning, hypothesis generation and analysis.
How Does RPA Work?
Automation process technologies like RPA enable information through legacy systems by integrating with other applications through front-end integrations. So, it helps the automation platform to work like a human worker to work on some routine tasks such as logging in and copying and pasting from one system to another.
To process automation technology like RPA software, include following core capabilities:
- Low-code capabilities to build automation scripts
- Integration with enterprise applications
- Orchestration and administration including configuration, monitoring and security
RPA in BFSI (Banking and Financial Services)
Robotic Process Automation is processed in different industries such as Banking and Financial services, healthcare, manufacturing and Insurance sectors. According to Gartner research, more than 80% of enterprises in Banking and Financial sector are using RPA for various purposes. Here are some of the most prominent benefits of financial process automation:
Banking was one of the prominent industries to accelerate the automation implementation
Here are some of the RPA Use cases in banking and finance industry.
RPA for report generation
RPA for accounts payable
- RPA for mortgage processing
RPA in know your customer (KYC)
- RPA in fraud detection
RPA in Healthcare
While it is mandatory to maintain the accuracy and compliance of all internal processes for many health care companies as they prefer customers’ health and well-being first and foremost criteria for them. So, here are some of the RPA use cases in Health care industry. By leveraging on RPA in healthcare many healthcare providers in the world use robotic process automation to streamline information management, insurance claim processing and other processes for improved experience
- Simplifying patient appointment scheduling
- Speeding up account settlements
- Streamlining claims management
- Implementing discharge instructions
- Recording audit procedures
- Improving the healthcare cycle
RPA in Insurance
RPA in Insurance helps improving transactional, administrative tasks which are repetitive, high volume and rules-based activities by building a high-growth responsive business. Adopting RPA in Insurance sets the industry to become more customer-centric and efficient to help insurers by integrating new front-end technologies with back-office environments. Here are few uses cases for RPA in Insurance.
New Business & Underwriting
Business and Process Analytics
Manual Data Entry Process
Usage of Legacy Applications
- Regulatory Compliance
What are the Benefits of RPA?
RPA helps you to include flexibility, agility, adaptation, and price potency into your business processes.
Enable you to scale operations: Unlike humans, Robots can work longer hours without any breaks.
Saves time: Using a robotic application helps to reduce human errors and the time required correct them which leads to better customer experiences.
Cost Effective: Surveys estimated that RPA deployment is cost effective.
Minimizes IT department interference: With the help of RPA employees are allowed to train and manage their own robotic assistants using RPA.
Ensures there are no extra infrastructure costs: As there is no significant changes required to the infrastructure by implementing RPA in finance and banking.
Increases human employee efficiency: As per the studies, robots can work up to five times faster than humans on specific tasks which results in time saving and increasing the job satisfaction.
Reduces human error: Financial RPA increase output quality by eliminating human errors that happens due to human nature.
What are the Challenges of RPA?
Organisations have struggled to deploy RPA automation process as it is easy to implement but hard to manage.
A big challenge to automate end-to-end processes as many RPA tools may be insufficient to automate all the process steps.
Technical ambiguity: RPA installation is very easy and therefore it is one of the key features of RPA. For the successful RPA deployment, it is important to conduct in-depth research to resolve technical and functional queries.
Conclusion – Leveraging AI and RPA enables faster decision-making and reduces the chances for human bias by improving efficiency for organizations across the industries such as Insurance, Finance and Healthcare. Futran solutions is the best RPA solutions provider to automate your business processes and facilitate digital transformation rapidly. Learn more about how companies can successfully implement digitalisation to scale their operational excellence.