RPA and intelligent automation solutions are becoming more complex, more scalable, and more popular. Is RPA ready to adapt as software changes?
RPA is used to automate repetitive tasks in the workplace that require human actions. RPA seeks to alleviate the business and the employees from the menial, consistent, and transaction-based burden of these tasks. However, as more software is developed with an API driven architecture, RPA will need to adapt.
Gartner predicts that 90% of large organizations globally will have adopted RPA in some form through 2022 as they look to digitally empower critical business processes through resilience and scalability while recalibrating human labor and manual effort. The global robotic process automation market size was valued at $1.57B in 2020 with a CAGR of 32.8% from 2021 to 2028.
As automation has grown in popularity, API driven development has also become more popular, since it allows software to remain modular and provides better data flow and connectivity. Almost all RPA software can utilize APIs. Almost all RPA software also has their own APIs that can be used to remotely control the bots outside of their own internal orchestration. So, let’s connect the dots and dive into RPA’s ability to interact with APIs…
A simple use case illustrating the power of RPA driven integration starts with data that was previously accessible from a downloaded spreadsheet. What happens when that data is moved to a cloud-based reporting system? When the data still needs to be entered into a separate system, RPA can call the data from the cloud API and still process it through the other legacy system.
Leveraging your existing RPA infrastructure keeps you automated as your applications become smarter while reducing process complexity, software footprint, and costs.
RPA bots are always built on modular design principals and can adapt as needs of the business and software change. Like API driven development, RPA is designed on principals of modularity. RPA modules can be updated, removed, added, and can be used in combination with new API driven applications to enhance an already existing robot infrastructure or to accelerate deployment of new bots.
Existing RPA solutions, such as RoboCorp, Open RPA, and UiPath can be used to connect multiple applications through APIs - not just though traditional user interfaces. Middleware/iPaaS application platforms, such as Mulesoft, Zapier, and Boomi can be expensive, especially in high volume. To combat this, an existing RPA platform can provide connectivity between API driven systems without the need for implementing a new costly solution. As discussed, the modular design of RPA allows for easy implementation of API based solutions in already existing bots.
For more information regarding RPA as an integration, please reach out to the DataPrime team!