- You don't yet know where your team's time is really going.
- The work spans legacy, desktop or in-house apps with no clean API.
- You'd rather someone else build and maintain the automations.
- You want zero upfront cost and to pay only on proven savings.
- Data must stay on your own infrastructure.
Espai.AI vs. traditional RPA
Traditional RPA is excellent for cheap, reliable, high-volume rule-based tasks you can already describe step by step. Espai.AI is for everything you can't easily map — it watches how work actually happens, then our team builds and runs the automations for you, and you pay only once time is saved.
The bottom line
Choose RPA when you have a stable, well-documented, high-volume process and a team (or budget) to build and maintain the bots. Choose Espai.AI when you don't yet know where the time goes, your work spans legacy or in-house desktop apps, or you'd rather someone else find the opportunities, build the automations, and charge you only once they save time. They can also coexist — Espai.AI is often how teams discover which processes are even worth automating.
Robotic Process Automation (RPA) and Espai.AI both remove repetitive work, but they start from opposite ends. RPA starts with a defined process: you (or a consultant) document the exact clicks and rules, then build a bot to replay them. Espai.AI starts with observation: a lightweight agent records the desktop and system events behind how people really work, the AI finds where time is wasted, and our team builds and runs the automations for you. No process mapping, no API connectors, no per-integration setup.
How they differ
A fair look at where each approach fits. RPA has real, durable strengths — this isn't a strawman.
| Espai.AI | Traditional RPA | |
|---|---|---|
| Setup effort | Install a lightweight agent — no process mapping first. | Each process must be documented and defined before a bot is built. |
| What it needs to work | People simply doing their normal work on screen. | A stable, well-understood, rule-based process to replay. |
| Handles legacy / in-house apps | Yes — works at the level of on-screen actions, so desktop and custom apps are covered. | Often via screen-scraping, which works but tends to be fragile. |
| Who builds the automation | Our team builds and runs it for you (done-for-you). | Your RPA developers, an internal CoE, or an integrator. |
| When a UI changes | Can be affected, but we monitor and adapt automations as part of the service. | UI-based bots are brittle and frequently break; you own the fixes. |
| Upfront cost | €0 — you pay only once automations start saving time. | Licenses plus implementation, typically paid before results. |
| Where data lives | Stays on your own infrastructure; raw activity is never seen by humans. | Varies — on-prem or a vendor-hosted cloud orchestrator. |
| Time to value | Weeks — record, analyze, then built-for-you automations. | Weeks to months per process, after discovery and development. |
| Best at | Finding hidden waste and automating messy, cross-app work. | Cheap, reliable, high-volume execution of a fixed rule set. |
Where RPA is genuinely the right call
If a process is high-volume, stable, and already written down — think "take every invoice from this inbox, key these five fields into this system, file it" — RPA is hard to beat. A well-built bot runs that rule set thousands of times a day, cheaply and predictably. When the workflow rarely changes and you have people who can build and maintain bots, RPA delivers reliable, high-throughput execution. We won't pretend otherwise.
Where RPA gets expensive
The cost of RPA usually isn't the license — it's everything around it. Someone has to discover and document each process before a bot can exist, and that discovery is often the hardest part. Bots that drive application screens are brittle: a redesigned page or a moved button can silently break them, so maintenance becomes an ongoing tax. And because the work lives with your developers or an integrator, the backlog of "processes we'd like to automate" tends to grow faster than it clears.
What Espai.AI does differently
Espai.AI removes the two hardest parts: knowing what to automate and doing the build. Instead of asking you to map processes, the agent records real desktop and system events across every app your team uses, and the AI surfaces where hours are actually disappearing — including work no one thought to write down. Because it operates at the level of on-screen actions, it reaches legacy, desktop and in-house apps that never had an API. Then our team builds and runs the automations for you, monitoring and adapting them over time. You carry no upfront cost and no long-term contract; billing starts only once measurable time is handed back.
They aren't mutually exclusive
Many teams use Espai.AI to find and prove which processes are worth automating, then run some of those as classic RPA bots and others through Espai.AI. Observation-first discovery makes any automation program — including your existing RPA — better targeted.
- You already have one crisply-defined, stable, high-volume process to run.
- You have an in-house RPA team and want to own every bot yourselves.
- You need millions of executions a day of a single fixed rule set.
- You can't run a lightweight recording agent on the relevant devices.
In those cases, purpose-built RPA is often the more direct tool — and we'll tell you so.
Is Espai.AI a replacement for RPA?
Not exactly. RPA is great for stable, high-volume, rule-based steps; Espai.AI is for the messy, undocumented work you can't easily map, and it builds the automations for you. Many teams use both.
Can I use Espai.AI and RPA together?
Yes. Espai.AI is often how teams discover which processes are even worth automating, and those automations can be RPA bots, API integrations or AI agents — whatever fits the task best.
Do I need to map my processes first?
No. The agent records how work actually happens, so there's no process-mapping workshop, no flowcharts and no per-integration setup.
Not sure which fits? Let the recording decide.
Start with a free process analysis. We record how work actually happens, show you where the hours go, and tell you honestly whether Espai.AI, RPA, or both make sense — before you pay anything.
No upfront cost · No long-term contract · Data stays on your infrastructure