The person behind MorenaTech

Michał Chlewicki: process automation, without unnecessary black boxes.

MorenaTech helps companies turn manual, repetitive processes into solutions that can be checked, maintained, and developed. Behind that approach is the experience of an automation tester and the practice of building tools around a real client problem.

Michał Chlewicki

founder and developer of MorenaTech

My name is Michał Chlewicki and I am the technical person behind MorenaTech. I have worked in testing and automation since 2011. For eight years I worked for one of the largest technology companies in the world: Intel.

That experience taught me to look at technology practically: a solution should not only work, it should also be testable, maintainable, and ready to grow.

Approach

Automation starts with the process

I do not start by asking which tool to use. I first identify which part of the company’s work repeats so often that it should stop being manual.

data is copied between systems, spreadsheets, or email

reports, documents, or PDFs are created manually after the fact

the team keeps track of statuses, attachments, deadlines, or notifications by hand

the company has a process that works only because someone keeps watching it all the time

Good automation is not a technology show. It is a piece of process that works predictably, can be checked, and can grow when the company grows or changes its way of working.

What I do

I help companies automate concrete parts of daily work

I automate data, documents, spreadsheets, email, reports, leads, and the flow of information between tools. First the process, then the technology.

Reports and spreadsheets

I organize data, generate summaries, merge information, and reduce manual copying.

Documents and PDFs

I automate protocols, reports, offers, and summaries built from forms, spreadsheets, or application data.

Email and communication

I create message templates, notifications, statuses, and sending workflows that do not need constant manual supervision.

Leads and company data

I automate collecting, sorting, filtering, and preparing data for the next step instead of stopping at a chaotic spreadsheet export.

Internal processes

I build tools for statuses, checklists, activity history, attachments, customer data, and a simple flow of information.

Without no-code

Simple does not mean fragile

No-code can be useful for testing an idea and connecting simple services. Code is a stronger foundation when the process needs custom logic, tests, and long-term development.

At MorenaTech, automations are built technically. That gives more control over logic, data, integrations, tests, and future development.

If the company has a simple problem, the solution can also be simple. But simplicity should not mean a black box that nobody understands or can fix.

Solution examples

From process to a working tool

Each example is described in business terms, but the Tech block also shows what actually works underneath. No imaginary features added for effect.

Mobile Service Protocol

Problem

Service companies often have to gather photos, notes, customer data, and protocol details manually after the work is done.

Result

The application organizes the visit, attachments, status, and PDF document, leaving a clear record after every job.

Tech

Web application, protocol forms, checklists, photos and attachments, PDF generation, file archiving, statuses, email events, change history, automated tests, and deployment options tailored to the client’s process.

Lead Automation

Problem

A company list alone does not solve lead acquisition. Data quality, contact status, and sending controls still need a clear process.

Result

Lead Automation combines deduplication, statuses, message templates, test mode, and human approval before sending in one workflow.

Tech

Python, web panel, deduplication, contact statuses, message templates, dry-run mode, human approval before sending, and an activity log.

AI News Creator 2.0

Problem

For expert articles and editorial materials, generating text alone is not enough. The source, claim verification, and the final human decision still matter.

Result

An editorial pipeline moves the material from sources to publication candidate, with Polish screening, risk control, and final human approval.

Tech

Python, CLI, SQLite, RSS, staged source screening, a claim ledger, editorial statuses, and human approval before publication.

Contact

Do you have a process that takes too much time?

Describe what is still manual: what has to be copied, checked, generated, sent, or cleaned up. I will check whether it can be automated in a sensible way.

Write to me