Process automation
Reports, documents, statuses, reminders, and data flow wherever people still have to do too many repetitive manual steps.
See areaAutomation for small businesses
MorenaTech helps small businesses reduce manual work in spreadsheets, email, reports, documents, and simple back-office workflows. I build automation, internal tools, and practical AI solutions where they actually bring order and save time.
I do not sell generic websites. I work on concrete workflows: reports, spreadsheets, documents, notifications, CRM logic, data cleanup, and practical AI use.
The issue is usually not a lack of tools. The issue is the lack of one calm flow where data stays consistent and the team does not repeat the same manual steps.
Manual copying of data between spreadsheets, emails, and systems.
Recurring reports prepared manually every week or every month.
Reminders, statuses, and follow-ups tracked from memory or across too many places.
Documents and PDFs created manually from data the company already has.
Messy Google Sheets where data is inconsistent and hard to reuse.
Information scattered across email, files, folders, and lightweight office tools.
Most often I work where small businesses already operate: Google Workspace, spreadsheets, email, documents, simple CRMs, and reporting.
These are four entry points into collaboration. All of them lead to cleaner workflows, cleaner data, and calmer day-to-day work.
Reports, documents, statuses, reminders, and data flow wherever people still have to do too many repetitive manual steps.
See areaSheets, Gmail, Docs, Forms, and scripts that clean up daily work without building a heavy system from scratch.
See areaOrganizing data sources, statuses, and process logic so automation has a stable foundation.
See areaClassification, draft replies, summaries, and human-in-the-loop support only where it genuinely makes sense.
See areaThree current MorenaTech product examples: B2B sales support, service workflow, and an AI pipeline with a human in the loop.
A case study of a B2B sales workflow tool: leads, segmentation, message drafts, human approval before messages are sent, and campaign activity reporting.
See case studyA field service case study: jobs, statuses, technician notes, photos, checklists, and a post-visit service report.
See case studyA case study of an AI pipeline for topic screening, research packs, fact checks, and human-approved draft preparation.
See case studyFirst we understand the process. Then we clean up the data, choose a small scope, and roll the solution out in stages.
We start with specifics: what is manual today, where the data lives, and what takes the most time.
I map where data comes from, who performs the next steps, and where the process breaks down.
We choose a small, well-defined first scope instead of building a giant system just because it can be built.
I roll the solution out in stages, with attention to data quality, automation behavior, and real outcomes for the team.
After launch, there is a clear way of working, documented logic, and support only where it is needed.
There is no need to begin with a large implementation. In most cases, a consultation, a simple scope, and the first process worth cleaning up are enough.
Initial consultation
PLN 0
A short call about the process, the data, and the most sensible first step without inflating the scope.
Small automation
from PLN 800
A good starting point for one report, one reminder, one document, or one simple data flow.
Google Workspace / Apps Script
from PLN 900
For companies that want to improve one concrete area of work in Google Sheets, Gmail, or Docs.
MorenaTech is supposed to improve real work, not sell fashionable slogans. Automation and AI should be understandable, controlled, and fitted to the process.
If a process needs a more concrete tool than standard automation, these are the two active product directions.
A flagship product for organizing B2B leads, segmentation, email drafts, human approval before messages are sent, and campaign reporting.
See Lead AutomationA product for organizing field jobs, photos, notes, statuses, and post-visit service reports.
See Mobile Service ProtocolOpen source / AI memory
An experimental project about AI memory, local context, connectors, OAuth/ngrok, and controlled access to tools. For people who want to look under the hood instead of staring at a shiny AI button.
Blog
I publish solutions that make sense in daily work: less tech jargon, more focus on real use cases and cleaner workflows.
Short and concrete: where to start, how to think about data, and when AI actually makes sense.
Start with one process that regularly wastes time or creates errors. The best first step is usually small: one report, one reminder, one document, or one simple data flow.
Not perfectly, but they need to be consistent enough for the process rules to be described. In many projects, organizing the most important part of the data is part of the work itself.
Yes. For many small businesses this is the natural starting point: Google Sheets, Gmail, Docs, Drive, and Forms are a good base for reports, reminders, documents, and simple internal apps.
AI makes sense when the task involves classification, summarization, or draft generation. If the process is simple and rule-based, rule-based automation is usually safer and cheaper.
It depends on scope, but a first step is often just a consultation and a small automation. The current starting price ranges are listed on the pricing page.
Getting started
A few sentences are enough: what is still manual, where data gets lost, which reports or documents consume time, and what frustrates the team the most.
Briefly describe what you want to improve. A problem, an idea, or a workflow that wastes time, creates errors, or clearly needs structure is enough.
For people who prefer to send a direct email and move straight to specifics.
A phone call for those who prefer to talk through the topic immediately instead of writing messages.
Collaboration can be local or remote, depending on what is more practical and sensible.
We answer questions about automation, Google Workspace, data, and practical AI solutions.