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The adoption of RPA technology is increasing. A Deloitte survey claims that 72% of the respondents are expected to be on their RPA journey. Robotic process automation (RPA) tools are becoming a staple of digital transformation initiatives because of their numerous use cases and benefits.
However, RPA integration with existing legacy systems can be a complex and time-consuming process. According to another Deloitte survey, “integration and flexibility of solutions” is the third biggest challenge RPA adopters face. This might be one reason why between 30-50% of RPA projects fail.
Fortunately, no-code RPA solutions have emerged as a powerful tool for simplifying RPA integration and empowering increased adoption. In this article, we will discuss the common challenges companies face whilst integrating robotic process automation into their legacy systems. We will then explain why and how using a no-code RPA tool can ease your integration.
What are the challenges of integrating robotic process automation into existing systems?
Whilst robotic process automation is useful for automating repetitive tasks, it’s challenging to incorporate it into your existing business operations. The following the top challenges of robotic process automation integration:
1. System compatibility
One of the major challenges of robotic process automation (RPA) integration is system compatibility. Existing systems and applications may use different technologies, interfaces, and protocols, making it difficult to transfer data between systems. For instance, old legacy systems often don’t use APIs, or application programming interfaces. So for API integration, users have to create their own APIs.
2. Data security
Data security is another major challenge in RPA integration. The RPA bot requires access to sensitive data, such as financial data, to perform the automation task, which may lead to security breaches if not handled properly. Moreover, different systems may have different levels of security, making it difficult to integrate them.
3. System complexity
Old existing applications can be complex, with various functions and different user interfaces. This makes it difficult to identify the optimal point of integration for robotic automation. That is because RPA bots interact with the UI elements like buttons and text boxes to perform repetitive tasks. If each app has a different UI, then each should be individually customized.
4. Resource requirements
Integrating robotic process automation with existing systems and business processes can be resource-intensive, requiring significant time and effort to implement. It may also require specialized IT skills and expertise, which may not be readily available within an organization.
For example, integration often involves data extraction, data entry, and data processing of unstructured data between different apps. This data movement can strain the network bandwidth and require significant storage capacity.
5. Integration with legacy systems
Many organizations have legacy systems that were developed in-house or by vendors that are no longer in business. These systems may be outdated and not compatible with newer technologies, making it difficult to integrate them with new RPA projects.
Learn more about RPA integration with legacy apps.
How can no-code RPA technology help integration?
No-code robotic process automation is a type of RPA solution that requires minimal coding knowledge to set up. So citizen developers unfamiliar with coding can also set up software robots.
No-code RPA is useful for integration into different systems because they have customizable codings that can easily be used to integrate it into any artificial intelligence and machine learning software. Moreover, a no-code RPA solution is likely to come with pre-built integrations and connectors that streamline connection between different systems and applications. These connectors usually work with API, support a variety of communication protocols such as REST, SOAP, and JDBC.
The benefit is workflow automation of complex tasks across a wider range of ERP, CRM (customer relationship management), and other enterprise software apps.
Sponsored:
Argos Labs’ no-code RPA tool is built on customizable low-code python. This means any AI/ML and data science tools can be brought in the toolbox immediately to automate business processes at scale. Other benefits of Argos Labs’ is their easy interface to use RPA bots alongside automation tools, such as natural language processing, to automate processes.
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