Business process automation

Your systems should move the data. Not your people.

We connect the software you already use and automate the repetitive work: orders, invoices, stock, reports. We start with one process, and you do not need an IT team of your own.

  • No need to replace your software
  • Fixed price for the first stage
  • First result 2-4 weeks after signing
  • The code and access are yours

In the first call we tell you whether there is anything worth automating at all. If there is not, we will say so.

Sound familiar?

Where the hours actually go

In almost every company we look at, the same things keep showing up. Each one looks small. Added up over a month, it is work nobody hired anyone to do.

The numbers never match

One stock figure in the warehouse, another in the shop, a third in accounting. The morning starts with reconciling them.

Spreadsheets as glue

Once a month somebody exports a file from one system and uploads it into another. Half a day, and not always on the first try.

Orders arriving by email

A customer writes in, a person retypes it into the system. Sometimes with a typo, sometimes not at all.

Reports pulled from four places

Answering how much you earned last month means opening four systems and one more spreadsheet.

It all rests on one person

Only they know where each thing goes. When they take a week off, the process stops.

A system that stopped growing

It fit five years ago. Now every new customer means another round of manual work.

What we do

What exactly we do

We do not start with technology. We start by asking where your hours disappear.

Process automation

Invoices, orders from email, reminders, file transfers, reports. What is done by hand every morning happens overnight instead, and you only hear about it when something fails.

System integration

Your shop, accounting, warehouse, CRM and couriers start exchanging data on their own. We connect what you already have, so you usually do not have to replace anything.

Internal systems

For when off-the-shelf software does not fit, or costs more than it gives back. Order handling, stock, production planning, customer portals. Built around your process rather than the other way round.

And what comes with it

  • Process audit

    We find out how the work actually happens and count how many hours a month each step costs.

  • Internal AI assistants

    A language model (LLM) that answers questions about your company from the actual data.

  • Reporting and data

    One place for the real numbers, with no month-end spreadsheet marathon.

  • Hosting and maintenance

    Servers, backups, updates and monitoring. We tell you about an outage before your customers notice it.

Data and AI

Not knowing your own numbers can be expensive

The data is already in your systems: accounting, warehouse, shop, CRM. The trouble is that answering a simple question takes a day, so decisions get made on gut feeling. Often the expensive part is not the mistake itself, but finding out about it too late.

Selling at a loss without knowing it

A supplier raised their price and your price in the shop stayed the same. Every sale eats into the margin until somebody notices at the end of the quarter.

Cash stuck in the warehouse

Stock that has not moved in six months takes up space and working capital, while the best sellers run out at the worst possible moment.

A debt that grows quietly

A customer has owed more every month for three months, and you only find out when they stop answering.

A customer who costs more than they bring

Plenty of orders, but once discounts, returns and delivery are counted, you are working for them at a loss.

What we put in place

  • An internal AI assistant

    A language model (LLM) connected to your systems. It answers from the actual data and shows where each figure came from. It only sees what the person asking is allowed to see.

  • Alerts while there is still time

    The system tells you when a margin drops, an item runs low or a payment is late. No waiting for the month-end report.

  • One place for the numbers

    Dashboards a manager opens themselves, with figures that match the systems because they come straight from them.

We only use AI where it is genuinely needed. Where a plain rule does the job, we leave the AI out: a rule is cheaper and easier to check.

Talk about your data

For example, you can ask:

  • Which customers are more than 30 days late paying?
  • Which products lost margin this month?
  • Which items will run out in less than two weeks?
  • How much did we earn last month compared with the same month last year?
How we work

Four steps, no surprises on the invoice

We do not sell year-long projects whose results you get to see next spring.

  1. 01

    A conversation

    One hour. You tell us what is annoying. We ask how many hours it costs and what happens when somebody gets it wrong.

  2. 02

    Audit and plan

    We draw the process out, point at the weak spots and suggest where to start. This takes one or two weeks. You get a fixed price and a date for the first stage.

  3. 03

    The first working result

    We start with one process, not with the whole company. Within two to four weeks of signing you have something running that saves real time.

  4. 04

    Then we widen it

    Once the first stage has paid for itself, we take on the next one. If it has not, we stop and tell you why.

Technology

We do not lock you in

We pick widely used, well documented technology that we can still maintain in five years. The code, the documentation and the access are yours, so another team can take the system over at any time.

Laravel

The foundation we build internal systems on. Mature and widely known, so the system never depends on one person.

Laravel AI and MCP

AI where rules fall short: an invoice in a PDF, what an email is about, unstructured text. MCP is the standard way to give an AI assistant controlled access to a system.

Python

Data processing, AI agents and one-off data migrations.

n8n

A workflow automation tool that can run on your own server. Often it is enough, and no new system has to be built.

Metabase

An open-source reporting tool. Dashboards a manager opens themselves, with figures straight from the systems.

Data and integrations

MySQL, PostgreSQL, APIs, webhooks. So the same figure arrives in the other system unchanged and on time.

DevOps and infrastructure

Docker, CI/CD, monitoring, backups. A deployment should be a boring action, not an event.

FAQ

The questions we get most

It depends on how many systems have to be connected and how much mess is inside them. That is why the price comes after the audit, fixed for the first stage rather than a range. The first stage usually takes a few weeks.

The audit takes one or two weeks. After it we sign for the first stage, and the first working automation goes live two to four weeks later. From the first conversation to a working result is roughly three to six weeks. Larger internal systems need at least two months.

The ones that repeat every day or week, follow the same steps and move data from one system to another: orders from email into accounting, stock between the warehouse and the shop, month-end reports, payment reminders. If a person does the same thing the same way every time, it is usually a good candidate.

Most of what a company already runs: online shops, accounting software, warehouse systems, CRMs, courier services, email and spreadsheets. If a system has an API or webhooks, connecting it is straightforward. If it can only export files, that can usually be automated too.

Usually not. We first look at whether what you have can be connected. We only suggest replacing something when it has no API and there is no way around it.

No. Smaller companies often have proportionally more manual work, simply because nobody had time to sort it out. And changes are easier to roll out when they do not need sign-off from five departments.

Where fixed rules fall short: reading an invoice out of a PDF, working out what an email is about, answering a plain question about orders or stock. An internal AI agent only sees what the person asking is allowed to see. Where a plain rule does the job, we leave the AI out, because a rule is cheaper and easier to check.

A general-purpose chatbot cannot see your accounting or your warehouse, so about your company it can only guess. An internal assistant is connected to your systems and answers from the actual data, showing where each figure came from. It only sees what the person asking is allowed to see.

We can, if you want: hosting, updates, backups and monitoring, and we tell you about an outage before your customers notice it. If you would rather have your own people or another contractor look after it, the code and the documentation are yours.

The code and the access are yours from day one. We use standard technology and document what we did, so somebody else can take over.

Yes, all of the work is done remotely, so it does not matter where your company is. We usually meet over video, and we connect to your systems through access you grant and can revoke at any time. We work in English or Lithuanian.

Which process costs you the most hours?

Write us a few sentences. In an hour-long call we will tell you whether it is worth automating and where we would start.

Review my process

No technical brief needed. If we are not the right fit, we will say so.