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Automation studio · n8n · human in the loop

A studio for process automation and AI

We automate the busywork so people can get back to work that matters. We design n8n workflows, AI agents and system integrations — always with a human in the loop and with care for the team’s well-being.

  • Human in the loop in every implementation
  • Less busywork, less team overload
  • Official n8n ambassador in Poland
Sample workflow: a new inquiry from the website Active
  1. Web formNew inquiry
  2. AI agentScores and enriches
  3. Sales rep approvesOne-click approval Human in the loop
  4. CRM + follow-upRecord, task, reminder

The machine handles the routine; a person makes the call.

  • n8n
  • OpenAI
  • Claude
  • Gemini
  • ElevenLabs
  • HubSpot
  • Pipedrive
  • Salesforce
  • Google Workspace
  • Microsoft 365
  • Slack
  • KSeF
  • PostgreSQL
  • REST API

Sound familiar?

Manual work that quietly costs you the most

Automation makes sense where a process is repetitive and delays hurt sales, customer service, finance or reporting.

Data

The same record in several places

A lead, invoice or ticket lands in a form, the CRM, an inbox and a spreadsheet. Every retype is a chance for error.

Hours a week spent copying.

Ownership

The process works as long as someone remembers

Follow-ups, payment reminders and customer replies depend on one person. They go on vacation — and the process stops.

Lost leads and late payments.

Reports

Reports are built by hand — and too late

Data is scattered, so the report has to be stitched together from many sources — usually when it’s already too late to act.

Decisions based on stale data.

Support

Experts answer simple questions

Customers ask about status, deadlines and documents. Specialists check several systems instead of handling the hard cases.

Slower response times.

Illustrative example

The same lead-handling process — before and after automation

A typical change at a B2B services company. The process stays the same; the manual retyping and deadline-chasing go away.

Before automation

  • An inquiry lands in a shared inbox and waits for someone to notice it.
  • A sales rep creates the contact in the CRM by hand, copying details from the email.
  • Priority is a gut call, and the follow-up goes into a calendar — or gets forgotten.
  • The manager doesn’t know how many leads are waiting until they ask.

After automation

  • The lead goes straight into the CRM, with company details filled in.
  • AI scores fit and urgency; rules assign a sales rep.
  • The task and follow-up are created automatically; no response triggers a reminder.
  • The team and the manager see every lead’s status in real time.

How we work

First we clean up the process. Then we automate it.

We don’t start with a list of tools. We look for the slice of work that will deliver a measurable result, pin down the rules and exceptions, and only then build.

  1. 01

    Audit

    We pick the process with the most potential

    The business goal, process owners, data sources and the points where delays or errors happen.

  2. 02

    Design

    We define the MVP and the rules

    Data, statuses, integrations and test scenarios — plus the human-in-the-loop points where a person makes the decision.

  3. 03

    Build

    We build and test on real data

    n8n workflows, integrations, an AI agent or a chatbot — tested against typical and edge-case scenarios.

  4. 04

    Grow

    We monitor, train and improve

    Alerts, documentation, team training and a plan for the next improvements — automation isn’t a one-off.

In every implementation

A working process, not just “connected apps”

  • DocumentationHow the logic, data and exceptions work, plus instructions for making changes.
  • Monitoring and alertsA workflow error never fails silently — someone gets notified.
  • Access controlSeparate permissions, secure keys and event logs.
  • Handover to your teamTraining on how to use and extend the automation.

Our principles

Human in the loop and well-being: automation should take work off people, not replace their judgment

Three principles we apply in every implementation — from a simple workflow to an AI agent. How we design human in the loop.

01

Human in the loop

AI prepares, people decide

Before implementation, we agree what the system does on its own and what a person approves. Decisions about money, customers and people are approved by a human — with the full context of the case, in one click.

02

Well-being

Less busywork, less overload

We take the draining tasks off the calendar: retyping data, chasing deadlines, answering the same questions. For larger changes, we also check the team’s morale and workload — before and after implementation.

03

Transparency

No black boxes

The team knows what the automation does, why, and who owns it. Every implementation comes with documentation, logs and a simple way to report an error.

Human component

Technology is 80% of an implementation. The other 20% is employee well-being — and whether the change sticks.

AI rollouts rarely fail on technology. More often they fail on resistance, fear of job loss and team overload. That’s why, for larger changes, a psychologist joins the project to look after people’s well-being through the change — see how it works.

Technology · 80%

Automation and AI

Audit, architecture, n8n, AI agents, integrations, testing, monitoring and training. Led by Michał Kozak.

  • solution design and build
  • documentation and monitoring
  • AI literacy training

People · 20%

Team change

Team sentiment assessment, change communication and support for managers. Led by a psychologist who works with us.

  • anonymous sentiment assessment
  • change communication
  • support for managers, including around role changes

Self-check — 30 seconds

Is your process a good fit for automation?

Check the statements that describe the process you have in mind. If it meets at least three, it’s a good candidate for a first implementation.

My process…

0/5 Check what applies to your process.

Studio

A small studio. Hands-on in every implementation.

Michał Kozak leads the technology; a psychologist who works with the studio leads the human component. Meet the studio.

Michał Kozak — Founder · automation and AI architect

Technology

Michał Kozak

Founder · automation and AI architect

Automation and AI architect, AI trainer, official n8n ambassador in Poland and author of the book “Inteligentna firma” (“The Intelligent Company”). Designs automations and AI agents that run in production — with documentation, monitoring and clear ownership.

  • process audits and AI architecture
  • n8n, AI agents and integrations
  • AI training for teams
LinkedIn

Human component

Collaborating psychologist

Supporting the team through change

A psychologist experienced in working with adults, following the principles of professional ethics and working under supervision. Joins projects where the change deeply affects the team, and is responsible for how people get through it.

  • team sentiment assessment
  • change communication
  • support for managers

EU AI Act · Article 4

The AI literacy obligation may apply to your company too

Since February 2, 2025, companies that use AI systems — including popular assistants and chatbots — must take measures to build their people’s AI literacy. We run hands-on training tailored to each role and help you document those measures.

AI literacy training

FAQ

Common questions before you automate

Don’t see your question? Email or call us — you’ll get a straight answer, not a sales pitch.

What does an automation studio do?

We design and implement business process automation: n8n workflows, system integrations, AI agents, chatbots and voicebots. We work like a design studio — small, hands-on in every project, from the audit through to monitoring.

Which process should we automate first?

One that is repetitive, frequent and measurable: lead handling, invoices, support tickets, reports or data moving between systems. We pick one slice (an MVP), ship it, measure the impact and only then expand the scope.

How long does the first automation take?

It depends on the number of systems, data quality and access. A simple workflow connecting two or three tools usually takes days; a process with an AI agent, multiple integrations and approvals takes a few weeks. We give you a specific timeline after a short process review.

How do we start implementing AI in our company?

With a problem, not a tool. We pick one process where AI will genuinely take work off people, agree where a human makes the call, and build a first version on real data. In parallel, it’s worth training the team in AI literacy — AI adoption succeeds when people understand how to use it.

Will automation work with our current CRM, ERP or spreadsheets?

In the vast majority of cases, yes. We connect systems through APIs, webhooks, n8n and ready-made integrations with sales, accounting, marketing and customer service tools. We check technical limitations and security concerns before we quote.

What does human in the loop mean in automation?

Human in the loop is the principle that automation and AI prepare the data, the analysis or a proposal, while a person makes any decision that affects money, customers or people. Before implementation, we agree for every step what the system does on its own, what it only prepares for approval, and what always stays with a human.

Will automation take jobs away from our people?

Our goal is to take work off people, not to replace them. We automate retyping data, chasing deadlines and answering the same questions — the work that wears people down and leads to overload. The team spends the time it gets back on harder cases, customer contact and growth. If the change affects headcount, we help you handle it fairly and respectfully.

What about data security and GDPR?

We design automations on the principle of least privilege: separate accounts and permissions, encrypted connections, event logs and — when needed — self-hosted n8n on your own infrastructure. In AI processes, we spell out which data goes to the model and where a human approves the decision.

Is AI training mandatory?

Article 4 of the EU AI Act has applied since February 2, 2025, and covers companies that use AI systems — including when employees use publicly available tools. A 2026 amendment (the Digital Omnibus) softened the wording, but did not remove the obligation to take measures that build AI literacy.

Why is there a psychologist on the project team?

Because AI rollouts stall on people more often than on technology: on job worries, overload and a lack of trust in decisions. For larger changes, we add a human component led by a psychologist who works with us. It’s an add-on, not a required part of every project.

Do you work with companies across Poland?

Yes. We work remotely with companies all over Poland — including Warsaw, Kraków, Wrocław, Poznań, Gdańsk, Łódź and Lublin. Workshops and sign-offs happen online, and when it makes sense, we meet on site.

Contact

Let’s talk about the process you want to lighten

Briefly describe what takes up most of your team’s time today. We’ll come back with a suggested next step — no strings attached.

Every inquiry is treated confidentially — including those about changes in your team.

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