When choosing an RPA vendor, you largely determine the success of your automation project. The right partner offers not only software, but also the expertise, support and scalability needed for sustainable process automation. The wrong choice can lead to failed implementations, wasted budgets and frustrated employees. This guide answers the key questions that will help you select the best RPA vendor for your organization.
What is RPA and why do you need a good vendor?
RPA (Robotic Process Automation) is technology that automates repetitive, rule-based tasks by mimicking human actions in computer systems. Software robots perform tasks such as data entry, file transfer and form processing – 24/7 without errors. A good vendor is important because RPA is more than just installing software.
The complexity of RPA implementation is often underestimated. You need not only the right technology, but also process knowledge, change management expertise and ongoing support. An experienced RPA vendor will guide you through the entire process: from process identification and bot development to training and scaling up.
The impact of vendor choice on ROI is significant. With the right partner, you realize cost savings of up to 80% in automated processes. Employees are freed from monotonous tasks and can focus on more valuable activities. In contrast, the wrong vendor can lead to technical problems, employee resistance and ultimately a failed digital transformation.
What types of RPA vendors are there really?
The RPA market has four main types of vendors, each with its own strengths and limitations. Pure software vendors such as UiPath and Automation Anywhere provide only the RPA platform. They offer advanced technology but leave implementation and support to partners. This works well for large organizations with in-house IT expertise.
Implementation partners specialize in building and implementing RPA solutions. They usually work with software from different vendors and have in-depth process knowledge. The downside is that you have to deal with multiple parties: the software vendor for licensing and the partner for implementation.
Full-service providers offer the complete package: software, implementation, training and support. This “all under one roof” model reduces complexity and accelerates time-to-value. You have a single point of contact for all aspects of your RPA journey. Finally, consulting firms focus on strategic advice and process optimization. They help identify automation opportunities but rarely perform implementations themselves.
For Dutch SME Plus organizations, full-service providers are often the best choice. They combine technical expertise with practical implementation knowledge and provide the continuity needed for successful RPA adoption.
What should you look for when comparing RPA vendors?
When comparing RPA vendors, technical capabilities, integration options, scalability and support are the most important criteria. Start by evaluating platform functionality: does the software support your specific processes and systems? Can it integrate with legacy applications without costly modifications?
Certifications provide insight into professionalism and reliability. ISO 27001 certification for information security is especially important when handling sensitive data. ISO 9001 guarantees quality management and ISO 26000 demonstrates social responsibility. Also ask for industry-specific references and proven experience in your sector.
Total cost of ownership (TCO) outweighs initial costs. Calculate not only software licenses but also implementation, training, maintenance and future enhancements. A low-cost license with expensive consultants may end up being more costly than a full-service provider with fixed fees.
Implementation methodology determines project success. Look for vendors who work with proven frameworks, agile methods and incremental rollouts. They should have experience with change management and employee adoption. Training and ongoing support are essential – RPA is not an “install and forget” technology.
How do you evaluate the technical capabilities of an RPA vendor?
Technical evaluation begins with platform functionality. Modern RPA platforms offer AI integration for intelligent document processing, machine learning for process optimization and natural language processing. Low-code/no-code capabilities determine how quickly your team can develop bots on its own without programming knowledge.
Test compatibility with your IT landscape thoroughly. The vendor should demonstrate how their platform integrates with your specific legacy systems, databases and applications. Ask for concrete examples of similar integrations. Cloud versus on-premises deployment is a strategic choice – cloud offers flexibility and scalability, on-premises gives more control over data.
Security features deserve extra attention. Evaluate encryption, access controls, audit trails and compliance with regulations such as GDPR. Monitoring and analytics tools are important for process optimization. You want real-time visibility into bot performance, error reports and improvement opportunities.
Always organize a proof of concept (PoC) with real business processes. A good vendor will gladly invest in a PoC to demonstrate their capabilities. This provides concrete insight into technical capabilities, ease of use and expected results. During the PoC, pay particular attention to speed of development, stability of the solution and support in case of problems.
What are the pitfalls in choosing an RPA vendor?
The biggest pitfall is selection purely on price. Cheap licenses seem attractive but often result in higher total costs due to lack of support, limited functionality or complex implementations. Focus on value and ROI rather than initial cost.
Underestimating change management is a common mistake. RPA changes how people work, and without proper guidance, resistance arises. Choose vendors that have experience with employee adoption and offer training. Vendor lock-in is a real risk – some platforms make it difficult to switch later. Ask about exit strategies and data portability.
Lack of clear requirements leads to disappointment. Define in advance which processes you want to automate, which systems should integrate and what results you expect. Vague objectives make objective vendor comparisons impossible.
Be alert to overselling and unrealistic promises. Claims such as “100% automation of all processes” or “ROI within a month” are warning signs. Serious vendors are honest about capabilities and limitations. Always start with a pilot project to mitigate risks. This provides insight into collaboration, technical capabilities and expected results before you make large investments.
How does Pegamento’s approach fit into the RPA vendor landscape?
We position RPA today as“Agentic AI” – an evolution from executive bots to self-thinking assistants that not only follow instructions, but take initiative and act independently. This vision sets us apart in a market full of traditional RPA providers. Our 15 years of hands-on experience in process automation results in mature, proven solutions.
Our unique advantage is delivering customized solutions with standard building blocks – no costly customization, but smart combination of proven modules. As a full-service ICT specialist, we offer everything under one roof: from development to implementation, management and support. This eliminates the complexity of multiple vendors and speeds up implementation.
Our ISO 27001 certification for information security is paramount, complemented by ISO 9001 for quality management and ISO 26000 for social responsibility. These certifications guarantee professional, secure services. We specialize in legacy system integrations – a major challenge for many Dutch organizations.
For Dutch SME Plus to large corporates, we offer specific sector expertise in education, utilities, housing associations, government and hospitality. Our human-centered technology strengthens human connections rather than replacing them. This results in higher employee engagement and better adoption of RPA/Agentic AI solutions.
Frequently Asked Questions
How long does a typical RPA implementation take and when do I see first results?
A pilot project typically takes 4-8 weeks, with first results seen within 2-3 weeks. Complete implementation of multiple processes can take 3-6 months, depending on complexity and number of processes to be automated. Full-service providers can accelerate this through their experience and pre-built modules, allowing you to realize ROI faster.
What does RPA cost on average and how do I calculate ROI for my organization?
RPA investments vary widely: from €15,000-50,000 for an initial pilot to €100,000+ for enterprise implementations. Calculate ROI by comparing current process cost (hours x hourly rate) to automation cost plus maintenance. Typical payback period is 6-18 months, with savings of up to 80% on automated processes. Ask vendors for a concrete business case for your situation.
Can my employees build RPA bots themselves or do I always need external expertise?
With modern low-code/no-code platforms, employees can build and customize simple bots themselves after training. Start with a 'citizen developer' program where motivated employees are trained. For complex integrations and critical processes, vendor technical expertise remains important. The best approach combines internal knowledge with external support.
How do I prevent my organization from becoming dependent on a single RPA vendor?
Choose open standards and platforms that support data export. In contract negotiations, ask for exit clauses and handover protocols. Make sure processDocumentation and bot logic remain accessible to your own team. Consider a hybrid approach with multiple RPA tools for different process types so you maintain flexibility.
Which processes are best suited to start with RPA?
Start with high-volume, repetitive processes such as invoice processing, data entry between systems, report generation or customer data updates. Ideal starting processes have clear rules, few exceptions and deliver measurable time savings immediately. Avoid processes with lots of human decisions or unstructured data - these require more sophisticated AI solutions.
How do I get employees to embrace RPA rather than fear for their jobs?
Communicate from the beginning that RPA is meant to support employees, not replace them. Involve teams early in process identification and let them think about improvements. Offer retraining so employees can grow into more strategic roles. Celebrate successes where RPA takes away tedious work and showcase how colleagues are now performing more valuable tasks.
