- Much of the real work happens between systems, not inside one.
- Your systems don't emit clean, complete event logs.
- Legacy, desktop and in-house apps are part of the workflow.
- You want the fixes built and run, not just a diagnosis.
- Data must stay on your infrastructure and you want €0 upfront.
Compare
Espai.AI vs. process-mining tools
Process mining is excellent when your work already lives in system event logs — it reconstructs and analyzes those flows brilliantly. Espai.AI needs no logs: it observes what people actually do on screen, including the work between systems, and our team builds and runs the automations for you.
The bottom line
Choose process mining when your key processes already run inside systems that emit clean event logs — it will map order-to-cash or procure-to-pay in remarkable detail. Choose Espai.AI when a lot of the real work happens between systems (email, spreadsheets, copy-paste, desktop and in-house apps) where no usable logs exist — and when you want the fix built and run for you, not just a diagnosis. The two are complementary: one reads system logs, the other reads what people actually do.
Process mining reconstructs how a process really flows by analyzing the event logs your systems already produce — timestamps, case IDs and status changes pulled from an ERP, CRM or ticketing tool. It's genuinely powerful for discovering bottlenecks, variants and conformance gaps in system-of-record processes. Its blind spot is everything a system doesn't log: the manual steps people take in a browser, a spreadsheet or a legacy desktop app. Espai.AI starts exactly there — it records real desktop and system events, no log extraction required, and then our team turns the findings into automations we build and run for you.
Side by side
How they differ
Process mining is a strong discipline in its lane. This compares approaches fairly, not a caricature.
| Espai.AI | Process-mining tools | |
|---|---|---|
| Setup effort | Install a lightweight agent — nothing to extract. | Extract, clean and model event logs from each source system (ETL). |
| What it needs to work | People doing their normal work on screen. | Complete, well-structured logs with case IDs and timestamps. |
| Sees work between systems | Yes — email, spreadsheets, copy-paste and manual steps included. | No — limited to what the source systems record. |
| Handles legacy / in-house apps | Yes — works at the level of on-screen actions. | Only if those apps emit usable event logs. |
| What you get | Ranked insight plus automations that are built and run for you. | A detailed map of the process, its variants and bottlenecks. |
| Who acts on the findings | Our team builds and runs the fix. | You or consultants design and implement the changes. |
| Upfront cost | €0 — you pay only once time is saved. | License plus a data-engineering effort, usually paid up front. |
| Where data lives | Stays on your own infrastructure; never seen by humans. | Often extracted into a vendor-hosted cloud for analysis. |
| Time to value | Weeks — record, analyze, then built-for-you automations. | Weeks to months, often dominated by data preparation. |
Where process mining is genuinely the right call
When a process is largely contained inside systems that log every step — a clean order-to-cash or procure-to-pay flow in a mature ERP — process mining is outstanding. It can show you exactly where cases stall, how often they deviate from the intended path, and where rework creeps in, across millions of transactions. If you already have that log data and the appetite to act on the analysis yourself, it's a powerful lens on your operation.
Where process mining runs out of road
Two limits show up in practice. First, it can only see what the systems record — so the messy reality between systems (the spreadsheet reconciliations, the copy-paste into a portal, the email approvals, the legacy desktop tool) is invisible, and that's frequently where the time actually goes. Second, it's a diagnostic: it tells you where the problem is, but the redesign, integration and automation are still a separate project you have to staff and fund. Getting the logs clean enough to mine is often its own significant effort, too.
What Espai.AI does differently
Espai.AI observes work at the source — the actual on-screen actions — so it captures the cross-application "dark matter" that never reaches a log, including legacy, desktop and in-house apps. There's no ETL and no dependence on log quality: the agent records real events, the AI ranks where hours are wasted, and then our team builds and runs the automations for you rather than handing back a report. Raw activity stays on your own infrastructure and is never seen by humans, you carry no upfront cost, and billing starts only once measurable time is handed back.
Discovery vs. doing
Think of process mining as a microscope for your system logs and Espai.AI as observation plus a build team for the work those logs can't see. If you already mine your core systems, Espai.AI complements it by covering the manual, between-systems work — and by actually shipping the fixes.
- Your priority process lives entirely inside a well-logged system.
- You need conformance and variant analysis over millions of cases.
- You already have clean logs and a team ready to act on the analysis.
- You can't run a lightweight recording agent on the relevant devices.
For deep analysis of a single, fully-logged system process, a dedicated process-mining tool is the sharper instrument.
Is Espai.AI a process-mining tool?
It's related but different. Process mining reconstructs flows from system event logs; Espai.AI records what people actually do on screen, so it also covers desktop, legacy and in-house apps that never write to a central log — and then builds the automations.
Do I need clean system logs?
No. Process mining depends on well-structured logs from your core systems. Espai.AI works from on-screen activity, so it doesn't require existing logs or instrumentation.
Can it see desktop and legacy apps?
Yes. Because it works at the level of user actions, it captures work in desktop clients, spreadsheets and in-house tools that log-based process mining usually misses.
See the work your logs can't
Find the time that never reaches a log
Start with a free process analysis. We record how work actually happens across every app — including the manual steps between your systems — and show you where the hours go before you pay anything.
No log extraction · No upfront cost · Data stays on your infrastructure