RPA software has been sold for years as a magic fix for any tedious office process. What I see with clients in Spain is more nuanced: sometimes it's the perfect tool and sometimes it's the worst possible decision. I put this comparison together so that, before you sign an annual UiPath license or commit to a six-figure Blue Prism project, you can tell a good use case from one that will fall apart at the first change.
We'll look at seven RPA tools that Spanish companies actually use in 2026, their strengths, their real drawbacks and one thing almost nobody mentions: when the smartest move is not to use RPA at all and to tackle the problem from another angle, usually through APIs or by redesigning the process.
Fair warning: don't expect a neutral Gartner-style ranking. This is what we see in real projects with SMEs, professional firms, distributors and service companies. Some of these opinions may surprise you.
What exactly is RPA software (and what it isn't)
RPA stands for Robotic Process Automation. The core idea is simple: a software “robot” mimics what a person would do at a computer. It clicks, copies data from one screen, pastes it into another, downloads a PDF from the bank and uploads it to your ERP. It works at the user interface level, just like you would, not underneath it.
This has an important consequence you should understand from the start: RPA is fragile by design. If the application you automate gets a new version, moves a button or adds a field, your robot breaks. And it breaks silently, until someone checks why Monday's invoices never came in.
What RPA is not: it isn't artificial intelligence (although some platforms now add AI modules on top), it doesn't replace a well-built API integration, and it doesn't think. It follows rules. If the process has 14 exceptions a month that need human judgment, RPA is not your friend.
The classic use case where it does work
Repetitive processes, high volume, clear rules and applications without a decent API. Think of bank reconciliation at an accounting firm with 200 clients, bulk product uploads into a PIM, or the nightly transfer of orders between PrestaShop and Sage. That's where the ROI shows up within months.
The 7 RPA tools companies in Spain actually use
The RPA tools market is dominated by three big names plus a handful of alternatives that have earned a place through price or integration with their ecosystem. I'll go through them in the order of real adoption I see in mid-sized Spanish companies.
1. UiPath
The de facto leader. It has the largest community, the gentlest learning curve (UiPath Studio is reasonably visual) and a powerful Orchestrator for managing bot fleets. The downside: licenses climb quickly as you scale, and the annually billed cloud version isn't cheap for a small SME. It's the safe choice if you plan to build an internal Center of Excellence.
2. Blue Prism (SS&C)
More enterprise, more rigid, built for banking, insurance and large corporations. Its governance model is excellent, but the learning curve is steep and you need technical staff. I hardly ever see it in SMEs. If you work at a regulated financial institution, it's definitely on the table.
3. Automation Anywhere
The third member of the classic UiPath, Blue Prism, Automation Anywhere trio. It's betting heavily on the cloud and built-in generative AI. A good product, but its partner network in Spain is smaller, which you notice when something breaks on a Friday at 7 p.m.
4. Microsoft Power Automate (Desktop)
The elephant in the room. If your company already pays for Microsoft 365 with E3 or E5 licenses, you get Power Automate Desktop practically free for attended use. For simple, department-level processes, its cost-to-value ratio is unbeatable. For large, unattended fleets, it falls short of UiPath.
5. Make (formerly Integromat) and n8n
Technically they aren't pure RPA but iPaaS (app-to-app integration via APIs). I include them because they solve 70% of what people actually want when they come asking about RPA. They're cheaper, more stable and much easier to maintain.
6. Zapier
The simplest, the most expensive per task run and the best fit for non-technical teams who want to connect a form to a CRM and forget about it. At high volumes, it stops being worth it.
7. Robocorp
Open source and Python-based, ideal if you have a development team and want to avoid lock-in with the big suites. A more technical learning curve, a growing community and very competitive pricing.
RPA vs. APIs: the question almost nobody asks first
Here comes the awkward conversation I have with almost every client who asks for RPA. Before automating with a bot that clicks, ask: does that application have an API? Because if it does, an API integration between systems is always more stable, faster and cheaper to maintain than an RPA robot.
Here's a real example. A distributor in Valencia asked us for a bot to move orders from its Shopify store into Holded every hour. The sensible approach would have been to use the Shopify and Holded APIs, build a middleware layer and forget about it. But the salesperson who sold them the idea had pitched RPA. Result: three months later the bot kept breaking because Shopify kept updating its admin panel. We replaced the robot with an API integration in two weeks, and they haven't had to touch it in two years.
When both systems have an API, using RPA is like hiring someone to copy data by hand when there's a connected spreadsheet right next to them.
When RPA beats an API
- The application is legacy and has no API (mainframes, old banking software, highly specialized ERPs).
- The API exists but is limited to very expensive enterprise plans.
- The process involves third-party web portals (in Spain, for example, the Spanish Tax Agency (AEAT), the Social Security portal or online banking) where you won't get an API and legal scraping is allowed.
- You need to solve something now, within two weeks, while a structural solution is being planned.
Real RPA cases that work in Spanish companies
To keep this from staying theoretical, here are three scenarios where robotic process automation is delivering real value for small and mid-sized Spanish companies in 2026. These patterns come up again and again.
Accounting and professional firms: downloading and sorting bank statements
An accounting firm in Madrid with around 180 clients had two people who spent every morning logging into each client's online banking, downloading the statement and uploading it to the accounting software. Four hours a day per person. We built a UiPath bot that does the round in 40 minutes, drops the CSV files into a shared folder and sends a Teams alert if a client has changed their credentials. ROI in four months.
Manufacturing: processing delivery notes and matching them to orders
A component manufacturer in Zaragoza receives delivery notes as PDFs by email from 60 different suppliers, each in its own format. They combined OCR with a Power Automate bot that extracts the line items, matches them against the order in the ERP (Sage X3) and flags discrepancies. Three administrative staff went from processing documents to supervising exceptions.
Private healthcare: appointment management and reminders
A clinic in Murcia with eight practitioners had a full-time receptionist confirming appointments by phone. A simple bot connects the calendar to the SMS system, sends reminders 24 hours ahead and processes the replies. The receptionist now looks after patients in person. It isn't pure RPA, but it shows how RPA combines with conversational automation.
All three cases have something in common: processes with clear rules, high volume and applications that don't talk to each other. If that pattern sounds familiar, it's a good time to take administrative task automation seriously.
What an RPA project really costs an SME
To budget for RPA, you need to separate licenses, implementation, infrastructure and maintenance. The scope can be organized like this:
Small project (1–3 processes, attended)
A first project can focus on attended processes and simple rules. Check which licenses you already have and define how you'll measure the result.
Mid-sized project (5–10 processes, unattended, with orchestration)
A project with several unattended processes needs orchestration, infrastructure, upfront analysis and support. All of these components should be spelled out in the proposal.
Large project (15+ processes, multiple departments)
A cross-department rollout needs governance, permissions, monitoring and maintenance capacity. The budget depends on the number and complexity of the processes.
Maintenance is part of the project: applications change and bots need adapting. Agree on monitoring, support and update terms from the start.
The real cost of an RPA project isn't building it. It's keeping it alive for three years without it turning into technical debt.
When NOT to use RPA software, even if someone's selling it to you
Several clients asked me for this section after spending serious money. There are scenarios where bringing in RPA is simply a mistake. Treat this as a list of red flags.
- The process changes a lot. If the rules shift every quarter, you'll spend your life rewriting the bot. Custom development or a full process review is the better route.
- The volume is low. Automating something done 30 times a month in five minutes doesn't justify the investment, not even with Power Automate.
- Affordable APIs are available. We've covered this: integration before robots.
- The process is badly designed. Automating chaos only gets you automated chaos, faster. Redesign first, then automate.
- You handle very sensitive data without clear governance. The GDPR and Spain's data protection act (LOPDGDD) apply to bots too. If the bot accesses health or financial data, you need traceability, credential control and auditing. That's not trivial.
- Veri*Factu and e-invoicing. To comply with Spain's mandatory e-invoicing rules now coming into force (including Veri*Factu, Spain's new invoicing compliance system), don't build RPA patches. Use software that supports them natively. RPA here is a regulatory risk.
In my experience working with freelancers and small limited companies, what works best is combining simple iPaaS tools (Make, n8n) with the occasional piece of custom development. Well-planned custom process automation usually goes further than buying the most expensive license on the market.
How to choose your RPA tool, step by step
If after all this you still think your case is pure RPA, here's the logical order to avoid picking the wrong platform. I use it with clients and it usually works.
- List 5–10 candidate processes. Don't start with the tool, start with the processes. Measure real times and volumes.
- Filter by rules and exceptions. If a process has more than 15% exceptions, it's out. It isn't a candidate.
- Check whether APIs exist. For every system involved. If they do, consider iPaaS before RPA.
- Look at your current ecosystem. If you already use Microsoft 365, Power Automate is the first option to try. If you run SAP, UiPath integrates better.
- Ask for a short proof of concept (PoC). Two weeks, one real process, concrete metrics. Any serious partner will agree to this.
- Calculate the 3-year TCO. Licenses + implementation + maintenance. Not the first-year cost, which is misleading.
- Settle governance before you scale. Who maintains the bots, who approves new processes, what happens when they break. Without this, the project dies in its second year.
One last piece of advice: start small. One bot that works and saves two hours a day is a better argument for scaling than ten half-working bots. What we usually see at Interconecta is that companies that automate well start with a single, carefully chosen process and grow from there with good judgment.
RPA software solves a very specific problem: rule-based, repetitive tasks that live between applications that don't talk to each other. When that's your scenario, you save real hours and cut silly mistakes. When it isn't, you're signing up for an expensive project that ages badly and breaks every time the bank changes a menu.
If you're on the fence, my advice is simple. Before comparing UiPath and Power Automate licenses, spend a week mapping the 5 processes where your team loses the most time. Measure hours, errors and peaks. With that data in hand, the choice between RPA, APIs or a process redesign almost makes itself.
And if that analysis shows RPA is the way to go, look for a partner who will tell you when NOT to use it. In the long run, that honesty will save you far more than any license discount.