What are some common use cases for RPA?
RPA is used across industries to automate repetitive business tasks. Most often these use screen scraping as well as other automation techniques to move data from one system or application to another or perform an action.
Because RPA is mainly used for tedious, manual tasks — it is commonly used in roles, functions, and business units that spend significant time on these types of processes. RPA has played an essential role in the insurance, banking, and healthcare sectors, helping:
- Reduce costs and improve the customer and employee experience.
- Streamline customer onboarding.
- Automate data extraction, data entry, and processing across applications, documents, and images.
- Improve process accuracy and compliance.
RPA is most useful in organizations where employees perform a high volume of repeatable tasks and automation could free up their time to work on more value-driving tasks.
Some additional examples of RPA use cases include:
- Manual data entry and manipulation (e.g. CRM updates)
- Employee or partner onboarding
- Reporting and data aggregation
- Document generation
- Payroll processing
- User configurations
- Invoice and payment processing
- Order processing and shipping notifications
- Resume and candidate verification
- Expense management
- Loan, claims, and appeals processes
- Inventory and supply management
What benefits and challenges are associated with RPA?
Automation has become a business-critical issue in this digital age as companies strive to improve productivity, enhance the customer experience, and quickly develop and launch new products and services. As the market for RPA technology grows, IT leaders are becoming increasingly interested in its ability to eliminate repetitive work, streamline operations, and provide cost savings. With any new technology, benefits and challenges come with implementation. Below are some of the most common for each:
- Efficiency: RPA is known to increase productivity for enterprise employees as they spend less time on repetitive tasks. Gartner has found that 30% of a full-time employee’s overall time can be saved with RPA.
- Accuracy: Data entry tasks are often done more accurately with automation than if they were done manually. RPA tools can also be in 100% compliance with industry and organizational policies.
- Cost savings: As employee productivity increases, the organization saves money. Employees are doing more, higher-value work in with the same amount of time.
- Access to legacy technology: Organizations still using legacy technology often struggle to integrate these tools with other cloud-based systems. RPA provides an easy entry point via the user interface to get data to and from legacy systems.
- Displace human workers: One of the biggest criticisms of RPA and other automation technology is its potential to eliminate the need for data entry and clerical-style roles.
- Lacks intelligent capabilities: RPA as a standalone technology can only perform tasks that it can copy from a script — lacking the ability to learn and improve the script it’s performing. The next generation of AI and intelligent automation tools are now being introduced to address this pitfall of RPA.
- Project complexity: Transformative RPA projects tend to be complex and require a time commitment to see the return on investment — as a result, some RPA projects fail before the value is realized.
How do RPA and API-led connectivity relate?
Many people often think that RPA and APIs compete with one another — seeing as APIs allow the systems and datasets to be integrated while RPA scraps the data from one system to another. However, there are situations where an API-led approach could collaborate with RPA as a mechanism to broaden the scope of integration and enable access to more endpoints.
Where business process automation is not yet possible for an API-led approach, RPA may be used. Some examples of this are:
- A system lacks an API, such as a legacy or on-premises application or a system that is heavily customized for the organization.
- There is either delayed investment or lack of investment in the creation of an API for an endpoint — where RPA can be used as a stopgap for temporary access to the system.
- There are different teams managing automation and integration.
Solutions like MuleSoft RPA enable the composable business by replacing repetitive tasks with bots that can intelligently process documents, enter data, or act on the user's behalf, all without any code. This end-to-end business automation drives innovation and collaboration, streamlines processes, increases efficiency and speed, and enables users to integrate and automate with disconnected legacy systems. With MuleSoft RPA, customers can bring together best-in-class integration, API management, and RPA capabilities to transform into a composable business.
For more information on building a successful automation strategy, check out our CIO guide to enabling business automation.