Yes, RPA can be seamlessly integrated with your existing systems without having to replace or modify them. RPA software acts like a digital collaborator interacting with your systems through the user interface, just as a human colleague would. Whether you’re working with old legacy systems, modern cloud applications or a combination thereof, RPA builds bridges between all your different platforms without costly system replacements.
What systems can actually be connected to RPA?
RPA can connect to virtually any system that has a user interface. From traditional ERP systems like SAP and Oracle to modern CRM platforms like Salesforce, and from old mainframes to new cloud applications. The technology makes no distinction between system age or complexity, as long as there is an interface that a human can work with.
The most common systems that organizations connect to RPA are financial systems for accounting and billing, HR systems for personnel administration, CRM systems for customer management, and legacy databases that have often lasted for decades. Excel files, Web applications, e-mail systems and even old DOS-based programs can also be incorporated into RPA processes with no problem.
RPA uses several techniques to make these connections. Screen scraping retrieves information from the screen, API links communicate directly with modern systems, and database integrations enable direct data exchange. For documents and forms, RPA uses OCR technology to recognize and process text. This versatility means that your organization does not have to replace a single system to benefit from automation.
How does RPA integration work without modifying your systems?
RPA works non-invasively by using the user interface of your existing systems exactly as a human employee would. The software robot clicks buttons, fills out forms, copies data and navigates menus without having to modify a single line of code in your systems. This makes RPA particularly suitable for organizations with systems that cannot or should not be modified.
The robot works at the presentation layer of your applications, meaning that all underlying systems, databases and security protocols remain intact. UI automation lets the robot mimic mouse clicks and keyboard strokes, while more advanced techniques such as computer vision can even work with systems where traditional automation is not possible.
For document processing, RPA uses intelligent OCR that can read and interpret handwritten text, scanned documents and PDF files. API connectors connect to modern systems that support it, but remain optional. Your existing IT infrastructure remains completely unaffected, meaning there is no risk of system failures or compatibility issues.
What are the biggest challenges in RPA integration with legacy systems?
The biggest challenge with legacy systems is often the lack of documentation and outdated interfaces not designed for automation. Legacy systems sometimes have unpredictable response times, limited screen resolutions or use technologies that modern software has difficulty interpreting. Security requirements can also be complex, especially when systems contain sensitive data.
Technical limitations such as lack of APIs, unstructured data storage and inconsistent user interfaces require creative solutions. Sometimes screen layouts change without warning, or there are specific access protocols that must be followed carefully.
Modern RPA platforms address these challenges with smart solutions. They use advanced image recognition to deal with changing interfaces, build in wait times for slow systems, and can even learn from interface changes. For security issues, they work with encrypted credentials and audit trails that meet the strictest compliance requirements. The key is to work with an experienced partner that knows these challenges and has proven solutions.
How much time does it take to integrate RPA with existing systems?
A simple RPA process for a single system can be up and running within 2-4 weeks, including analysis, development and testing. For more complex integrations involving multiple systems, count on 6-12 weeks. The exact timeline depends on factors such as the number of systems, the complexity of the processes, and how well prepared your organization is.
Implementation usually comes in stages. First comes process analysis (1-2 weeks), where experts map out your current workflow. Then comes the development of the robot (2-4 weeks for simple processes), followed by extensive testing and fine-tuning (1-2 weeks). For multi-system automations that require combining data from five different sources, for example, the entire process can take 3-4 months.
What affects lead time is the availability of process knowledge within your organization, the stability of the systems to be automated, and the number of exceptions in the process. Organizations that have their processes well documented and employees available for knowledge transfer see significantly shorter implementation times. Starting with a pilot process also helps get results faster and scale up from there.
What benefits does RPA integration offer for Dutch companies?
Dutch companies save up to 80% on process costs with RPA by being able to keep their existing systems. Instead of investing millions in new systems, they automate the connections between what they already have. This is especially valuable for organizations in sectors such as financial services, government and healthcare, where legacy systems often support critical business processes that cannot simply be replaced.
The speed of process execution increases dramatically, from hours to minutes for tasks such as billing, compliance reporting and customer data processing. Human error virtually disappears, which is crucial for Dutch companies that must comply with strict regulations such as AVG, Wwft or industry-specific compliance requirements. Employees can focus on valuable customer contact and complex issues instead of repetitive copywork.
For Dutch organizations struggling with staff shortages, RPA offers a solution without costly customization. We at Pegamento have advanced this traditional RPA to what we now call Agentic AI: intelligent assistants that not only follow instructions but take initiative independently. With our ISO 27001 certification for information security, complemented by ISO 9001 and ISO 26000, we offer Dutch companies the assurance of safe, reliable automation that fits perfectly with their existing systems.
Frequently Asked Questions
What happens when our systems get an update after RPA implementation?
Modern RPA software is flexible enough to deal with system update. For small interface changes, robots often adapt automatically thanks to smart object recognition. Larger updates usually require a small adjustment in the robot configuration, which can be taken care of within a few hours to days without disrupting the underlying systems.
Can we use RPA also for systems containing sensitive customer data?
Absolutely, RPA is just ideal for handling sensitive data securely. The robots work with encrypted access data, log all actions for auditing purposes, and can be configured to comply with AVG, NEN7510 and other privacy regulations. In addition, automation reduces the risk of data breaches by eliminating human error.
How much IT knowledge do our employees need to work with RPA?
No technical knowledge is required to work with RPA on a daily basis - the robots run in the background while employees do their normal work. For managing and monitoring robots, basic knowledge of process flows is sufficient, similar to working with Excel. Only building new robots or complex modifications requires specialized knowledge, which is usually outsourced to RPA experts.
What if a process is too complex for full automation?
RPA excels precisely in hybrid solutions where humans and robots work together. For example, the robot can automate 80% of a process and forward the complex exceptions to an employee. This 'attended automation' model gives the best of both worlds: efficiency where possible and human intelligence where needed. So you can start automating immediately without waiting for the perfect solution.
How do we measure the success of our RPA integration?
RPA platforms provide comprehensive dashboards with real-time metrics such as processing time per task, number of transactions processed, error rates and cost savings. You can see exactly how many hours of human work are saved, how quality improves (fewer errors), and what the financial return is. Most organizations see a return on investment within 6-12 months through measurable time savings and error reduction.
Can we start small and scale up later?
In fact, that's the recommended approach! Start with one simple, repetitive process such as invoice processing or data entry between two systems. After proven success, you can add more processes and systems incrementally. RPA licenses are usually scalable, so you only pay for what you use. This phased approach minimizes risk and builds internal support through quick, visible results.
What are typical pitfalls in RPA integration that we can avoid?
The biggest pitfall is starting without proper process analysis - don't automate inefficient processes, optimize them first. Also avoid underestimating change management; involve employees early and communicate clearly that RPA enriches their work, not replaces it. Finally, choose processes with stable rules and few exceptions for your first projects, and work with an experienced partner who knows the technical and organizational challenges.
