We build RPA bots that take over your team's repetitive, rule-based work — re-entering data, generating reports, copying orders between systems — and carry it out without fatigue, without routine slip-ups, and without needing to be watched.
A digital worker that does the boring tasks exactly the same way, every single time
RPA Process Automation
We build RPA bots that take over your team's repetitive, rule-based work — re-entering data, generating reports, copying orders between systems — and carry it out without fatigue, without routine slip-ups, and without needing to be watched.
Someone on your team re-types invoice data into a spreadsheet every day, copies orders between systems, or generates the same reports at the same time each week. It's work that doesn't require thinking — it just requires time and focus that could go toward something more important.
Every error in this kind of work comes not from lack of skill but from routine — attention naturally drops after the hundredth repetition of the same action. The person who could be analysing data or serving a customer instead spends part of the day on tasks that don't need their expertise.
The worst outcome isn't one missed row in a spreadsheet — it's a systematic delay in reports that matter for business decisions made off the back of them, one that nobody notices until it's too late.
RPA (Robotic Process Automation) is software bots that carry out clearly defined, repetitive tasks according to fixed rules — not AI models that "guess" the best answer, but software that executes exactly the steps a person used to perform.
RPA runs on rules, not machine learning — the bot performs the exact same steps every time, so the outcome is predictable and can be checked, unlike solutions built on AI models. Before building a bot, we document the process step by step together with the person who currently performs it manually — they know best where the exceptions and edge cases are.
We test the bot alongside the person's own work before it fully takes over the task, to catch differences before they become problems. What we don't do: we don't deploy a bot without a parallel testing phase — it's the only way to check that the logic covers real cases, not just the one described on paper.
What You Get
- Team time reclaimedHours previously spent on tasks that don't require thinking go toward work where a person is actually needed.
- Fewer routine-driven errorsThe bot performs the same steps identically every time, whether it's the first repetition or the thousandth.
- Work done outside team hoursA report generated at six in the morning, before anyone sits down at their desk, instead of waiting for someone to prepare it by hand.
- A predictable, checkable outcomeThe rules that were programmed can be inspected and verified at any time — unlike solutions based on learning models.
We've built RPA bots for tasks including re-entering data between systems, generating recurring reports, and copying orders — on a call we'll show you examples of bots we've built and walk through how we documented the process before automating it.
Scope and Pricing
Scope covers documenting the process to be automated, designing and building a bot to carry out those steps, testing it alongside the person's own work before full deployment, and monitoring and documenting the bot's behaviour after launch.
- A workshop documenting the process step by step with the person who performs it today.
- Designing the bot's logic and exception handling.
- Building the bot and running it in parallel with the person's work.
- Full deployment with monitoring of the first operating cycles.
Price depends on the number of steps and systems the process passes through, the number of exceptions and edge cases to handle, how often the bot runs, and whether the process touches systems with well-documented access or requires simulating interface actions. You get a full quote after the process-documentation workshop. You pay after each stage is accepted, so you see a working part of the automation before paying for the next step.
Our Guarantees
Parallel testing against the person's own work before full deployment. We compare the bot's results with those of the person performing the same process, eliminating discrepancies before the bot fully takes over the task.
Process and bot-logic documentation your team can understand. The automation isn't a black box — if the process changes, the documentation lets us update the bot's logic without starting over.
Repository on your account from day one. The bot's code belongs to you from the start of the project.
Standard technology stack, or a written justification for departing from it. If the process calls for a different approach, you get that reasoning in writing before any decision is made.
Availability
Bot build time depends on the number of steps and systems the process passes through — a simple, single-system task automates faster than a process spanning several applications with different interfaces. We plan our team's availability for new deployments in advance, to keep the agreed parallel-testing schedule.
Order Your Process Automation (RPA)
Write to us describing the repetitive task you want to automate, and the systems it passes through. We'll set up a process-documentation workshop, after which we'll propose a scope and quote.
What You Lose by Waiting
Every additional month of doing the same work by hand is more team hours that could go toward tasks requiring an actual decision — and another opportunity for a routine-driven error to slip through.
In Short
RPA runs on rules, not AI models — a predictable outcome, not guesswork · the process is documented together with the person who performs it today · parallel testing against the person's own work before full deployment · exception and edge-case handling built in, not just the ideal scenario · bot-logic documentation your team can understand.
Frequently Asked Questions
How does RPA differ from AI-based automation?
RPA runs on clearly defined rules — the bot performs exactly the steps that were programmed, and the outcome is fully predictable. AI-based solutions work differently — they analyse data and "decide" based on patterns, which is sometimes needed, but it's a different category of tool than RPA.
What happens if the process you automated changes?
We update the bot's logic to match the process change — because the process and the bot's logic are documented, updating it doesn't mean building the automation from scratch.
Can the bot handle exceptions that couldn't be predicted at the start?
We design the bot to hand off unusual cases it can't handle on its own to a person, instead of taking a wrong action — a safe stop and escalation are a standard part of the design.
Can the bot work across several systems at once?
Yes, the bot can pass through several applications within a single process — the number of systems and how they're accessed affects complexity and build time.
How do we monitor whether the bot is working correctly after deployment?
After launch, we monitor the bot's first operating cycles, and the documentation handed to your team lets you check its work on an ongoing basis yourselves.
Does RPA automation require changes to our existing systems?
Usually not — the bot uses the systems the same way a person does today, though in some cases API access is more stable than simulating interface actions, which we establish during the analysis stage.