Copying and pasting between systems
The same information typed two or three times, in different places, by different people.
Workflows and processes: the repeat work, done on its own
Daily repeating tasks turned into automatic flows, with a record of what happened and an alert when something fails.
Who automatic workflows are for
In a business that's been running for years, there's always a set of actions that repeat: someone reads an email and copies the details into a spreadsheet; someone receives an invoice as a PDF and types the figures into the accounting program; someone checks every morning whether a new enquiry has come in and lets whoever handles it know. None of these tasks calls for judgement. All of them eat up hours.
An automatic workflow is that sequence of tasks written to run on its own: it takes in what arrives, works out what it is, pulls out the information that matters, puts it where it belongs, and alerts whoever needs to know. Artificial intelligence steps in only where there's text to interpret or a sorting decision to make — the rest is systems talking to each other.
This service is for people who already know which task they want off their plate. If you don't yet know where to start, the entry point is advice and delivery. If what's missing is the technical link between two programs, with no decision involved, the right service is integrations and APIs.
Problems this service solves
Requests for automation usually come from one of these symptoms.
Documents read by hand
Invoices, delivery notes, CVs or PDF forms whose data someone transcribes every day.
Enquiries left waiting to be sorted
Everything lands in the same inbox and only moves forward once someone has time to open it and hand it out.
Steps that get forgotten
The process lives in people's heads, so sometimes the follow-up email or the record in the system gets missed.
Reports pieced together by hand
Every month someone pulls together exports from three tools just to see the same number.
Automating isn't doing it faster. It's not doing it at all.
How we work
Automating a process nobody fully understands just speeds up the mistake. So the first half of the work is understanding, and only the second half is building.
Mapping the process as it really is
We sit down with whoever does the work and write down what actually happens, step by step, exceptions included. Almost every time, part of the process turns out not to need to exist at all.
Choosing what to automate
We measure how many times a month each step happens and how long it takes. What's frequent and predictable gets automated; what's rare and needs judgement stays with people.
Designing the flow and its checks
We define what triggers the flow, what it does at each step, what happens when the data doesn't add up, and at what point it asks a person to confirm before moving on.
Build and dry run with real data
We build it and run it in dry-run mode against real cases from the last month, without writing anywhere, to compare what the flow would do against what people actually did.
Going live in parallel
In the first few days the flow runs alongside the old method, to confirm it gives the same result. Only then is the manual work switched off.
Monitoring and fine-tuning
You get a record of everything the flow did and an alert when it fails. An automated process that goes quiet can lose weeks of work without anyone noticing.
What you get
Beyond the flow running, you get what lets you understand, fix and take ownership of what's been built.
The workflows, in production
Active, scheduled or triggered by an event, as agreed.
The process map
The before and after, in a document anyone can read, technical or not — useful well beyond this one automation.
Execution log
What came in, what the flow decided and what it wrote, case by case, so you can audit without guessing.
Error handling and alerts
Automatic retries for temporary failures, a queue of cases to review, and an alert to a person when a decision is needed.
Points of human confirmation
Where the flow stops and waits for a person, defined by you, not by us.
Access and accounts in your name
The tools, keys and automations are registered to your company, so another team can take over the work.
Common questions about automation
What people ask us before letting a process run on its own.
Do I have to change the software I use?
Almost never. The flow connects to what already exists. The problem shows up when the current tool allows no connection at all — no API, no database, no automatic export. That's checked before there's a quote, not halfway through the project.
What if the flow gets it wrong?
We assume it will happen one day. That's why there's a dry run before it goes live, a period running in parallel with the old method, a record of everything it does, and alerts when it fails. And there are steps where the flow deliberately stops and waits for a person.
Where does AI come in, and where is it just automation?
Artificial intelligence comes in where there's text to interpret or cases to classify: reading an invoice, working out what an enquiry is about, summarising a document. The rest — moving data, creating records, sending alerts — is ordinary automation, cheaper and more predictable. We always say which is which, because the cost and the risk are different.
How long does it take to build?
It depends on the number of systems involved and the quality of their documentation. What doesn't change is the method: one flow at a time, working, before starting the next. Concrete timelines go into the quote, once the process map is done.
Can my team change the flows afterwards?
It depends on the tool chosen. Wherever possible, we build on platforms where someone on your team can tweak the simple rules, and we document what's safe to change and what's best left alone.
Which task steals the most time?
Tell us what repeats, who does it and how many times a week. We'll tell you whether it's worth automating, what stays out of scope, and what it costs.
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