RPA (Robotic Process Automation) works in practice by using software robots that mimic human actions on computer systems. These digital assistants perform repetitive tasks such as data entry, form processing and system integration, working 24/7 without errors. RPA automates processes by navigating through applications, collecting data and executing actions according to preset rules, resulting in time savings of up to 80% and significant error reduction in administrative processes.
What is RPA and why are companies using it?
RPA is technology that automates repetitive, rule-based tasks with software robots that mimic human actions on computers. These robots work with existing systems without the need to modify software, allowing companies to automate quickly. The main reason organizations deploy RPA is the combination of reducing costs by up to 80% and freeing up employees for more valuable tasks.
The practical benefits of RPA are immediately apparent in everyday business processes. Think of invoice processing where robots automatically extract data from PDF invoices, check them against orders and enter them directly into the accounting system. Or data migration between systems where thousands of records are transferred error-free without manual copying and pasting.
Companies in sectors such as financial services are using RPA for KYC procedures and compliance reporting. In healthcare, organizations are automating claims processing and client registration. These processes that used to take days are now handled in hours with consistent accuracy.
How do RPA robots work behind the scenes?
RPA software works by capturing human interactions with computer systems and translating them into automated workflows. The robots use the user interface just as humans do: they click buttons, fill out forms and navigate between applications. This is done through process recording where your actions are recorded, or through template-based automation with pre-built components.
Technically, there are two main types of robots. Attended robots work alongside employees on their desktops and jump in when needed, such as a digital assistant to help with customer service. Unattended robots run independently on servers and perform processes without human intervention, perfect for nightly batch processing or continuous monitoring.
The intelligence of modern RPA goes beyond simple click actions. With OCR (Optical Character Recognition), robots read text from scanned documents. Natural Language Processing helps them understand emails and messages. Machine learning allows robots to learn from historical data and improve their performance.
What processes can you best automate with RPA?
The best candidates for RPA automation are processes that are rule-based, repetitive and structured with high volumes. Ideal processes have clear decision rules, work with digital data and require little human judgment. Examples include order processing, inventory management, HR onboarding and financial reconciliation.
In practice, you see successful RPA implementations at:
- HR departments updating personnel files and processing leave requests
- Finance teams automating invoice matching and payment runs
- Customer service answering standard questions and routing tickets
- IT departments creating user accounts and resetting passwords
To identify quick wins, use process mining tools that automatically identify which processes are most appropriate. Pay attention to processes with high frequency, long processing time and many manual actions. Start with simple processes to build experience before automating more complex workflows.
What do you need to get started with RPA?
For a successful RPA implementation, you need three main components: software licenses for your RPA platform, infrastructure on which the robots run, and expertise for development and management. The resources needed vary greatly depending on your organization size and automation ambition.
You can often realize a proof of concept within 4-6 weeks with minimal investment. You then need one developer, a few robot licenses and a test environment. For enterprise-wide implementations, count on 3-6 months with a Center of Excellence team providing governance, development and support.
The infrastructure consists of:
- Development environment for building and testing robots
- Production servers for running unattended robots
- Orchestrator for centralized management and monitoring
- Integrations with existing systems via APIs or front-end automation
How do you measure the success of RPA in your organization?
Measuring RPA success is done through concrete KPIs such as processing time per transaction, error rates, process volumes and direct cost savings. Key metrics include the reduction in manual hours, improved accuracy and increased employee satisfaction as repetitive work disappears.
For effective monitoring, use dashboards that show real-time robot performance. Measure not only technical metrics such as uptime and processing speed, but also business impact such as customer satisfaction and compliance scores. This data helps identify optimization opportunities and prioritize new automations.
Communicate results to stakeholders through monthly reports that show ROI, hours cleared and process improvements. Use concrete examples: “Invoice processing went from 3 days to 4 hours” appeals more than abstract percentages. This builds support for expanding your RPA program.
Why do organizations choose Pegamento’s RPA approach?
Pegamento sets itself apart by positioning RPA as Agentic AI: an evolution from executive bots to self-thinking assistants that not only follow instructions, but take initiative and act independently. This intelligent automation combines traditional RPA with AI capabilities for more complex decision-making.
What particularly appeals to organizations is our philosophy of customized solutions with standard building blocks. You don’t get costly customization, but a smart combination of proven modules that fit your processes perfectly. Everything under one roof means you don’t have to work with different suppliers for development, implementation and support.
For compliance-sensitive industries, our ISO 27001 information security certification provides additional assurance, complemented by ISO 9001 and ISO 26000. With 15 years of practical experience in process automation, we know the challenges of legacy systems integration and help organizations achieve their digital transformation without replacing their existing systems.
Frequently Asked Questions
How long does it take to see ROI from our RPA investment?
Most organizations see a positive ROI within 3-6 months, depending on the complexity of automated processes. Quick wins such as invoice processing or data migration often yield measurable savings within 8-12 weeks. For a full RPA program with multiple processes, count on 12-18 months for maximum value realization, with the first savings noticeable immediately after go-live.
What are the biggest pitfalls in implementing RPA?
The three biggest pitfalls are: starting too complex without first gaining experience with simple processes, insufficient employee engagement causing resistance, and ignoring process optimization before automation. Avoid these by starting small, involving employees early in the design, and streamlining processes first before you automate - don't automate inefficient processes.
Can RPA robots work with old legacy systems without APIs?
Yes, that's precisely one of the strengths of RPA - robots use the user interface just like humans do, so APIs are not needed. They can work with green screen terminals, legacy Windows applications and even Citrix environments via surface automation. For optimal stability, combine UI automation with API integrations where possible, but legacy systems are rarely a blockage to RPA implementation.
How many RPA developers do we need internally?
For a pilot phase, one experienced RPA developer is sufficient, supported by a business analyst. When scaling up to 10-20 robots, count on 2-3 developers plus a solution architect. Large organizations with 50+ robots often have a Center of Excellence with 5-8 FTE, including developers, testers and support engineers. Also consider training citizen developers for simple automations.
What happens when an automated process changes?
RPA robots are flexible to adapt to process changes, usually within hours to days depending on the impact. Modern RPA platforms have self-healing capabilities that accommodate small UI changes automatically. For larger changes, you update the robot configuration, test in the development environment, and deploy the new version - this process is similar to regular software updates but much faster than traditional IT changes.
Is RPA secure enough to handle sensitive data?
RPA platforms offer enterprise-grade security with features such as credential vaults for secure password storage, role-based access control, and full audit trails of all robot actions. Robots only access systems they need through dedicated service accounts. With proper governance and security policies, RPA is often more secure than manual processing because all actions are traceable and human error is eliminated.
When is it better to build a custom application instead of RPA?
Choose custom development for ongoing, high-volume processes (>100,000 transactions/month) where performance is critical, or when complex business logic with many exceptions is required. RPA excels at connecting existing systems and automating processes that can change. If your process lifecycle is shorter than 3 years or you want quick results without large IT projects, RPA is usually the better choice.
