Systems that talk to each other
The order in one system becomes the record in another without a person in the middle copying fields and occasionally mistyping a number.
Business Automation
Stop paying people to retype things.
Every business runs on a few processes nobody chose — a spreadsheet copied into a system, a report rebuilt by hand each Monday, an email that always triggers the same four actions. We find them, automate the parts that should be, and leave the judgement where it belongs.
- Process mapping
- Systems integration
- Fewer manual steps
Measured, not guessed
We count the manual steps before and after. If a process does not get shorter, it was not worth automating.
The idea
Automate the process you have, not the one on the diagram
Automation fails when it is built from how the work is supposed to happen. The real process has exceptions, workarounds and one person who knows why step four exists. We start by watching what actually happens, because that is what has to keep working on Monday.
- The real process mapped first, including the exceptions
- The boring, repeated, rule-based parts automated
- Judgement, negotiation and anything sensitive left with people
- A manual fallback for every automated step, because systems go down
What we build
The work that disappears first
Different businesses, same handful of time sinks. These are the ones that pay for themselves quickest.
Document handling
Invoices, forms and statements read automatically, the figures extracted and checked, and only the ones that fail a check put in front of a person.
Approvals and routing
Requests routed to whoever should see them, chased when they sit unanswered, and escalated on a rule rather than on whoever remembers.
Reporting that builds itself
The weekly report assembled from the source systems on a schedule, in the same format, without anybody's Monday morning going into it.
Customer lifecycle
Onboarding sequences, renewal reminders, dormant-customer win-backs — triggered by what the customer does rather than by somebody noticing.
Checks and reconciliation
Daily takings against the system, stock against sales, two lists that should match compared automatically with the differences flagged.
How the work runs
Four stages, in order
Each one ends with something you can look at and a decision you can make.
- 01
Observe
We follow the process as it is actually done, count the steps and the handoffs, and write down where the time goes.
- 02
Choose
Not everything should be automated. We agree what is worth doing, in what order, and what is deliberately being left alone.
- 03
Build
The automation, plus the exception path — what happens when the input is wrong, the system is down or the case is unusual.
- 04
Hand over
Your team learns to run it, change it and turn it off. Documentation that assumes the reader was not in the project.
Built with
Whatever fits the systems you have
Some of this is code and some of it is configuration. The right answer depends on what you already run and who will maintain it.
Integration
- REST & webhooks
- Queues
- Scheduled jobs
- Event triggers
Documents
- OCR
- Structured extraction
- Validation rules
- Exception queues
Runtime
- Node.js
- Python
- PostgreSQL
- Cloud functions
Around it
- Monitoring
- Alerting
- Audit trails
- Manual fallback
Questions
Business automation, answered
With whatever your team complains about most. That is usually both the most repetitive and the best understood, which makes it the safest first project and the easiest to prove.
That is your decision, not a consequence of the work. In most of the businesses we work with the same people stay and stop doing the part of the job they liked least — the copying, the chasing, the rebuilding of the same report.
Every automation we build has a manual path and an alert. If the integration fails at 3am, somebody is told and the work can still be done by hand until it is fixed.
Often not. A lot of the highest-value automation is ordinary integration work with no model involved. We use AI where the input is messy or unstructured — reading documents, classifying requests — and plain code everywhere else, because it is cheaper and more predictable.
Usually, though the method varies. A modern API is easy; an older system might need a scheduled export or a database-level integration. We will tell you which case you are in before the work is scoped.
We count the manual steps and the time before, and again after. Agreed up front, so the answer at the end is a measurement rather than an opinion.