Coopen / Automation / RPA software
RPA software that does the repetitive work nobody should.
Robotic process automation puts a software robot in front of the systems your team already uses. It logs in, reads the screen, moves the data and finishes the task — the same way, every time, at any hour. We design, build and run those bots around your real processes instead of selling you a platform and leaving you to figure it out.
Process & workflow automation
What RPA actually solves
Every business runs on a handful of processes that are pure repetition: pull a report from one system, check it against another, copy the result into a third, send a confirmation. There is no judgment involved — just steps. Yet those steps are done by people, at people prices, with people error rates, and only during business hours.
Robotic process automation attacks exactly that layer. An RPA bot works at the interface level: it uses the same screens, files and logins your staff use, which means you do not have to change or replace the underlying systems to automate on top of them. That is the whole appeal — it works with legacy software that has no API, no integration and no vendor left to call.
The catch is that RPA is often sold as a licence rather than an outcome. Companies buy seats, automate two processes, and quietly renew a large contract every year for bots nobody maintains. We build it the other way around: we start from the process and its cost, and only then decide what it should be built with.
What we automate
The kind of work RPA takes over
If a task is rules-based, high-volume and done on a screen, it is a candidate. These are the ones we see most.
- Cross-system data transfer — Moving records between systems that were never built to talk to each other.
- Report generation — Pulling the same reports on the same schedule, formatting them and distributing them.
- Form and portal filling — Submitting data into supplier, government or client portals that have no API.
- Reconciliation and checks — Comparing two sources line by line and flagging only what does not match.
- Onboarding and provisioning — Creating accounts, permissions and records across several systems from one request.
- Inbox and document handling — Reading incoming emails and attachments, extracting the data and filing it where it belongs.
Straight answer
RPA is not always the right answer — and we will tell you
RPA works at the surface. That is its strength and its weakness: it can automate anything a human can do on a screen, but it also breaks when that screen changes. A redesigned page, a new field, a slower load, and a brittle bot stops.
So we apply a simple rule. If a proper integration exists — an API, a database connection, a file exchange — we build the integration, because it is faster, cheaper to run and far more stable. We reach for RPA when there is genuinely no other way in, or when the process spans systems you do not control.
The result is usually a hybrid: APIs where they exist, bots where they do not, and one orchestration layer that runs the whole process end to end. That is what most "RPA projects" should have been from the start.
Attended, unattended and the honest difference
An unattended bot runs on its own, on a schedule or a trigger, with no one watching. That is where the real savings live: overnight batches, month-end runs, queues that clear themselves before anyone arrives.
An attended bot sits beside a person and fires on demand — it handles the tedious middle of a task while the human keeps the judgment calls. It is the right shape for customer-facing work, where speed matters but a person still owns the outcome.
- Unattended — Best for volume: batch processing, overnight runs, scheduled reconciliation and reporting.
- Attended — Best for support and sales desks: the bot does the lookups and typing while the agent talks.
- Hybrid with AI — When inputs are messy, a model reads and classifies first, then the bot executes the rules.
How it works
How we deploy RPA without a two-year programme
One process at a time, each one paying for itself before the next starts.
Pick the process by cost
We measure hours, volume and error rate to find the process where automation returns the most, fastest.
Map it exactly as it runs
Including the undocumented steps and the exceptions — that is where naive bots fail.
Build and shadow-run
The bot runs alongside your team first, so you can compare its output against reality before trusting it.
Hand over with monitoring
Alerts when something breaks, logs of every action, and documentation so the bot is yours — not a black box.
Results
What changes
Work that never queues
Bots run overnight, so the backlog is gone before your team logs in.
No transcription mistakes
A bot copies the same field the same way on record one and record ten thousand.
Not years, to first value
The first process goes live in weeks, and it is chosen so the savings are obvious.
Who it's for
RPA pays off fastest when
A quick test — if several of these are true, there is money on the table.
- Staff spend hours a day moving data between systems by hand.
- A core system is old, critical, and has no API or integration path.
- Volume is high and the rules are stable — the same task, thousands of times.
- Errors from manual entry cause real cost: rework, penalties, lost customers.
- Work piles up overnight or at month-end because people can only work business hours.
FAQ
Robotic process automation FAQ
What is robotic process automation software, in plain terms?
It is software that operates other software the way a person would — opening applications, reading screens, entering data and clicking through steps. Because it works at the interface level, it can automate systems that offer no API or integration.
Do we need to buy an RPA platform licence?
Not necessarily. Enterprise RPA suites make sense at very large scale with a dedicated internal team. For most businesses we build on lighter open tooling or custom automation, which removes the per-bot licence cost entirely. We tell you which applies to you before you spend anything.
Will RPA replace our staff?
It replaces tasks, not judgment. In practice teams stop doing the transcription and start handling exceptions, customers and decisions — the work that actually needs a person. Most of our clients automate to grow without hiring for busywork, not to cut headcount.
What happens when a system we automate gets updated?
Bots that depend on a screen can break when that screen changes — which is exactly why we prefer APIs wherever they exist and build monitoring into every bot. If something breaks, you get an alert instead of silently wrong data, and the fix is a small change, not a rebuild.
How long does an RPA project take?
A focused first process is typically live in a few weeks: audit, mapping, build, shadow run, handover. We deliberately start with one process so you can see the return before committing to more.
How much does RPA cost?
We scope every automation against the labour hours and error costs it removes, and we show you that math before building. If the numbers do not work, we say so — a bot that saves less than it costs to maintain is not worth having.
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Tell us the repetitive work slowing your team down. We'll show you what it costs — and what to automate first.