For ops and decision makers

Business process automation — get your team time back

Copy-pasting data between systems, manual reports, PDF invoices to your accounting system, replying to the same emails — all of that can be handed off to pipelines. Process automation is not magic, it is a well-designed system that does not take vacations and does not quit.

What is business process automation

Business process automation (BPA) means replacing repetitive human actions with logic triggered automatically — by a schedule, a system event or an incoming message.

In practice: instead of someone pulling a report every morning, reshaping it in Excel and emailing it out — a pipeline fetches the data through an API, transforms it and delivers it where it needs to go, on its own. No coffee breaks, no vacation, no typos.

Automation does not mean a bot clicking buttons in the UI (that is RPA — fragile). Good automation operates at the API and database layer, so it does not break when someone moves a button in an interface.

When process automation is worth it

When the same process repeats regularly — daily, weekly, on every new client — and the rules are clear. Every hour of human work is an hour you can reclaim.

When human error costs you (wrong invoice, missed message, missing data in a report) — automation removes most of them, because it does not forget steps.

When the process spans several systems that do not talk to each other natively, and your team is gluing them together by hand. A classic signal that a pipeline will do it cheaper and faster.

When scale grows linearly with the number of orders/clients, and you do not want operating cost to grow with it.

What we typically automate

Data extraction from invoices and PDFs

Invoice arrives -> structured data -> accounting system. AI recognises fields, validation checks against the order, errors go to a separate queue for a human.

CRM ↔ warehouse ↔ e-commerce sync

Two-way sync of customers, products, stock and orders. Deduplication, field mapping, retry on failure.

Email classification and routing

Emails come in, a model classifies them (complaint / RFQ / invoice / spam), they end up in the right Slack channel or CRM ticket.

Operational reports

Daily, weekly and monthly reports from joined data sources. A dashboard instead of Excel, alerts instead of recurring manual checks.

Employee and client onboarding

Accounts, access, welcome emails, system entries — all in one click or from a form.

Monitoring and alerts

A pipeline watches events (server down, low sales, missing document) and signals immediately, not after a complaint.

How to calculate automation ROI

Baseline rule: hours saved × hourly rate × frequency per year = annual saving. Compare with one-time rollout cost plus annual maintenance.

Example: 4 people × 1 h/day lost on manual order entry × 220 working days × €25/h = over €20,000/year. With a rollout cost in the low thousands, the pipeline pays back in little over a month.

Second, often underestimated dimension: the cost of mistakes that today just fall into operating cost — wrong invoice, missed message, late reaction. Automation reduces those costs to zero in the areas it covers.

Third dimension: scaling cost. Without automation, each extra client = a new fraction of an FTE. With automation, operating cost is fixed.

How a rollout looks at our place

First a process audit — we sit down with the person doing it today and break it into steps: input, decision, output, exceptions. Without this, automation just encodes chaos.

Then a fixed-price proposal: scope, price, timeline. No open-ended T&M billing.

Build in weekly sprints. After every sprint you get a working pipeline on staging — you test before paying for the next step.

Production rollout, monitoring, documentation and 30 days of support included. Then optional SLA: 8 h response during business hours.

Pricing and timelines

Cost is very flexible and depends on the number of systems, rule complexity and whether AI is involved — most rollouts land between a few and a dozen-or-so thousand złoty (roughly €1,000–4,000).

Simple automation of one process is usually the lower end and 2–4 weeks of work; a complex rollout with multiple systems, conditional decisions and a control panel sits at the upper end and 4–8 weeks.

For a well-chosen process the investment usually pays back within a few months. Annual maintenance (monitoring, small changes, support) is typically 10–15% of rollout cost; it works without it too, but then you handle changes yourself.

Every quote is fixed-price before contract signing. No surprise add-ons at the end.

With vs without automation

With automation
Without
Time per repetitive task
Seconds
Minutes to hours per run
Human error
Near zero in automated scope
Scales with volume
Cost of handling 2× volume
Unchanged
~2× more headcount
Reaction to an event
Instant, 24/7
Next business day
Cross-system data consistency
Continuous sync
Drift over days/weeks
Institutional memory
Encoded, people-independent
Walks out with the employee

What we build with

n8n self-hosted and cloud for most pipelines (open source, process ownership, no vendor lock-in). Native APIs and Node.js/Python where n8n is not enough. AI (OpenAI, Anthropic, open-source models) for extraction, classification and RAG. Supabase/PostgreSQL as pipeline database. AWS and Vercel as infra.

Full technology stack

Frequently asked questions

How much does process automation cost?

It's very flexible and depends on the number of systems and complexity — most rollouts land between a few and a dozen-or-so thousand złoty. Every quote is fixed-price based on the audit, and for a well-chosen process the investment usually pays back within a few months.

How long does an automation rollout take?

Simple pipeline: 2–4 weeks. More complex rollout (multiple systems, AI, control panel): 4–8 weeks. The process audit takes 1–2 days and is free.

Do we need an IT department to maintain automation?

No. We deliver documentation, monitoring and email alerts. 90% of issues (e.g. an API key rotation) you can solve yourself via a checklist. The rest — under an SLA if you buy one, or hourly if you do not.

Which processes are best to automate first?

Repetitive, rule-based, with clear input and output — document data extraction, system sync, recurring reports, email classification. Avoid processes that require subjective human judgement at first.

Will automation replace my employees?

No. It typically replaces 60–80% of the time they spend on repetitive work, and leaves them the judgement calls and client contact. Result: the same team handles 2–3× the volume without overtime.

What if the process I want to automate is not well documented yet?

Common situation. The first step of the audit is to write the process out step by step with the person doing it. If it turns out the process is too chaotic to automate — we will say so honestly and recommend cleaning it up first.

Does my data leave my infrastructure during automation?

Only if you want it to. By default we host pipelines on your infrastructure (self-hosted n8n, your own database). For AI we can use on-premise models or providers with DPAs (OpenAI, Anthropic). GDPR-compliant by default.

Got a process eating weeks of your team time?

Start with a free call. In 30 minutes we will tell you whether this specific process is worth automating — and if it is not, we will say so honestly.

See also