Automation

No more manual work between systems

We connect ERP, MES, WMS, time and attendance and CRM with the shop floor, machines and spreadsheets — into one flow. We build workflows that keep themselves on track, and we switch off the retyping of data between systems.

A production line with an industrial robot in a hall at night.
Sounds familiar

The company is growing. Manual work is growing faster.

Excel is our system

Three versions of the same file. Nobody knows which one is current. The person who kept it all together has just left.

The systems don’t talk to each other

ERP, T&A, WMS, machines. Each has its own data. Someone retypes it by hand. Every day.

I don’t know where the costs are leaking

Materials run out faster than the standards say they should. Tools go missing. Reconciliation? In a month, by guesswork.

People do what the system should be doing

Copying, retyping, reminders, stitching reports together. A dozen or more hours a week. Per person.

Process automation

From retyping to flow

Process mapAudit: observing the process and talking to the people who carry it out. The result is a list of automations — what, how much it costs, what it pays back.
Connecting systemsAPI, REST, SOAP on the business side; OPC-UA, Modbus, MQTT on the shop-floor side. Data flows on its own, without retyping.
WorkflowWorkflows and approvals, RPA where a system has no API, webhooks between tools. The process stops depending on people’s memory.
OversightAlerts and escalations when something stalls. We monitor, improve and add more — automations stay alive instead of rotting after a year.
Physical automation

Where AI presentations end

Most automation companies stop where the screen ends. We go further down — the signal from the shop floor reaches the report with no human in between.

RFID · UHF · tags

Tools, pallets, PPE — the system knows what was taken, when and by whom, without a logbook.

Sensors and IoT

Temperature, humidity, machine status. The reading goes into the data, not into a notebook on the inspection round.

Environmental monitoring (BMS)

Conditions in the warehouse and on the shop floor under control, with an alert before a loss becomes a fact.

Access control

Badges, PIN, entry logging — who, where and when, linked to HR data.

Automated storage

Tools and PPE 24/7, with employee identification and allowances. In real use at our clients’ sites.

Machine / PLC connectivity

Counter, status, alarm from the machine with no manual reading — straight into the shift report.

Integrations

We connect what already works for you — into a single source of truth

We don’t replace systems that work. We connect them.

Business systems

ERP, MES, WMS, time and attendance, CRM — no retyping between them.

Identification and tracking

RFID, UHF, codes, tags — tools, pallets, products.

Access control

Badges, PIN, biometrics, entry logging.

Monitoring and IoT

Sensors, temperature and humidity, BMS, environmental monitoring.

Scattered sources

Excel, SQL, API/REST, files, machines and PLCs — everything that lives separately today.

Standards and protocols

REST, SOAP, OPC-UA, Modbus, MQTT, SQL, webhooks. No closed formats.

What changes

Before and after launch

Today

  • Three versions of the same file
  • Data retyped by hand between systems
  • Reconciliation a month later, by eye
  • A dozen or so hours a week spent copying — per person

After the rollout

  • A single source of truth
  • Systems exchange data on their own
  • Stock and costs visible in real time
  • People do what they were hired to do
How we work

Done, not planned

Audit — 2–3 weeksA workshop, observation, conversations with the people in the process. A decision document, with no commitment to a rollout.
Pilot — 2–6 weeksOne process — usually the most painful and the easiest to measure. Implemented all the way.
Rollout — 1–6 monthsMore processes, areas and locations. In stages — each stage works on its own.
Support and development — ongoingSystems change, and so do processes. We monitor, improve and add more.
Questions

Before you ask

Our data is a mess — surely it is too early for you?

Quite the opposite. That is exactly when we’re needed. Putting data in order is the first layer of our work, not a prerequisite.

We don’t have an IT department.

Most of our clients have none, or just one person. We work in a way that does not burden your team — we need access and a few hours from people who know the process.

Our previous rollout failed.

The most common cause: too much scope at once and no shop-floor people on the project. That is why we start with one process and talk to the people who carry it out.

How much does it cost?

The audit has a fixed price; the pilot depends on the process. After the audit you know the price range to the last zloty — before any decision on a rollout.

From the blog: automation in practice

Integrations, workflows, apps instead of Excel. No empty promises.

A system instead of Excel: when a spreadsheet stops being enough and how to switch without disrupting work

A spreadsheet is a good tool until more than one person works on it at the same time. How to tell that this moment has passed, and how to move the data into a system without disrupting work.

Read

Process automation in a manufacturing company: which process to start with and how to calculate it

Not the one that hurts the board most, but the one where someone retypes data every day and it can be counted. How to choose the first process and measure the effect without inventing numbers.

Read

Integrating ERP with the shop floor: where to start so as not to sink the budget

The ERP knows what was planned. The shop floor knows what really happened. In between are a spreadsheet, a notebook and a person who retypes. How to close this gap with one process, not a two-year project.

Read

All posts on automation

ERP, MES, WMS, RPA, custom applications. A new post every week.

See the list

Let’s start with one process

Usually the most painful and the easiest to measure. The audit has a fixed price and does not commit you to a rollout.

Book an audit