10 / Software & automation
Hours of manual work turned into scripts and integrations
We automate repetitive tasks and connect systems that don't talk to each other today — from reports and notifications to document processing.
Most companies have tasks someone does by hand every single week: copying data from one system to another, assembling a report from three sources, retyping orders from emails, sending the same reminders. Individually they look harmless. Together they can cost hours a week, and every manual retype is a chance for an error that takes another hour to untangle.
We turn those tasks into automation: Python scripts, API integrations and scheduled processes. You don't get fragile macros that fall apart at the first change — we build automation with error handling, run logging and a notification when something fails, because an automation that fails silently is worse than doing the work by hand. We automate what pays for itself: we start with one process, the first automation ships in days, not months, and the time it hands back to the team is visible immediately.
Before we build anything we work out whether it pays back: how many hours a month the task takes today, how long automating it takes, and after how long the difference turns positive. When the arithmetic doesn't work — and for something done once a quarter it usually doesn't — we say so instead of writing the script. We work remotely with companies across Poland, and on-site with businesses in and around Bydgoszcz — you agree the scope with the engineer who answers for the result.
What the service covers
Automating processes and repetitive tasks
Your team gets back the hours the manual steps were eating. We map how the process runs today and replace those steps with scripts: moving data, tidying files, recurring chores done “because we've always done them”. Often the mapping alone shows that some steps can simply be removed.
- Automated data transfer between systems
- Python scripts replacing manual procedures
- Scheduled jobs that run on a defined cadence
- Data cleanup and normalisation
API integrations and data synchronisation
Data stops drifting apart and nobody enters the same thing in two places anymore. We connect the systems your company runs on — CRM, shop, warehouse, accounting, external tools — so data flows between them automatically.
Automated reports and notifications
Reports build themselves and land in the inbox or team chat on schedule, and you hear about events that need a reaction — an unpaid invoice, stock running low, a failed overnight job — from an alert, not by accident.
- Recurring reports generated without human effort
- Email and team-chat notifications
- Alerts on business events that need attention
Document processing
Nobody retypes invoices or files attachments by hand anymore. We automate document work: reading data out of invoices and orders, generating contracts or offers from templates, and sorting email attachments into the right place.
Typical situations
Someone on the team starts every week with hours of copying data from one system into another.
The monthly report takes two days of manually stitching numbers from several sources, and errors still slip through.
Orders and invoices arrive by email, then get retyped into the system by hand.
Two systems hold the same customer data and nobody knows anymore which one is current.
What you can count on
- Tasks that used to cost hours a week now run on their own, with a run log and an alert whenever something needs attention.
- Integrations built to withstand trouble: error handling, retries and loud alarms instead of silent failures.
- The contract sets the rights to the code and the documentation, and the automations are built so another vendor or your own team can take them over at any time.
- A measurable result: before we start, we establish what the process costs today, so the difference after launch is there in black and white.
Technologies
- Python
- REST APIs
- PostgreSQL
- Supabase
- AWS
- Docker
- GitHub Actions
Projects in this area
Selected work where this scope was part of the delivery.
ThomasSeekerAI
A private trader was combing OLX, Otomoto, Allegro and a handful of smaller sites by hand, every day, for things worth reselling. We built an internal tool that takes that work over: searches described in a plain sentence run on a schedule in the background, the noise is filtered out, and what is left is ranked by how good the opportunity looks — hours of manual browsing turned into an automated job.
Private opportunity-discovery tool with AI-assisted analysis
DevOps Engineering
Most of these projects start the same way: releases done by hand after hours, environments nobody can rebuild, deployment knowledge locked in one head. They end with a repeatable process — CI/CD pipelines, infrastructure described in code and monitoring that reports problems before users do — and with releases nobody holds their breath for.
Selected CI/CD, automation and infrastructure engagements
Questions about this service
We start with a short conversation about what the team does on a recurring basis. The best candidates for automation are tasks that are frequent, rule-based and painful. We pick one, automate it first, and plan further steps only once the first result is visible.
We pick whatever makes sense for the case and say plainly why. Off-the-shelf tools can be fine to start with, but at scale the subscriptions grow and the capabilities run out. A Python script written for your process is fully owned by your company, does exactly what's needed and carries no monthly fee per process step.
We build automations so a change on the other side shows up immediately: input validation, an alert on failure and a safe stop instead of processing bad data. The fix is usually quick, and for business-critical integrations we offer ongoing maintenance.
We find it often pays off fastest in a small company, precisely because the same people do everything and every hour recovered has value. No big platform required: a single script that removes someone's weekly chore is often a few days of work. And where automation wouldn't pay for itself, we say so plainly in the first conversation. Scope and cost are agreed up front, in writing.
Related services
Software development
Software written for a specific problem: internal systems, MVPs, integrations and taking over an application from another vendor — designed around how your company works, not the other way round.
Databases and data
PostgreSQL design and optimisation, migrations, reporting and automated data validation, so the numbers across your company finally agree.
IT consulting
Independent advice on technology decisions: choosing a stack, evaluating vendors, planning a product and rescuing projects that got stuck.
Tell us about the task that eats the most time
The first conversation is free and commits you to nothing. You describe the process and you'll get a concrete answer: what we'd do, what it may cost, and where to start — including when the honest answer is that automation wouldn't pay off.