Will the AI get things wrong?

Sometimes, yes – which is why uncertain cases go to a person instead of being guessed.

What does this cost to run?

Model costs are usually small next to the time saved – we'll show an estimate in the quote.

Will you connect to our systems?

Yes, if they have an API or a data export – we'll check that during process analysis.

What happens when the model gets it wrong?

We set a confidence threshold – below it, the case goes to a person instead of guessing.

Artificial intelligence

AI automation

Processes a person handles today – qualifying leads, cleaning up data, answering repeat questions – handed off to artificial intelligence.

Describe your project How we work

Someone on the team spends hours on a task with a clear rule: read it, classify it, enter it where it belongs. That's exactly the kind of work where AI doesn't slip up out of boredom or take a vacation mid-month.

This is for you if

Your process is about reading and classifying content.
Repetitive work eats several hours of someone's day.
The rules of the process can be written down, even if they're complex.
You want to cut response time, not just labor cost.
You want to know why the system made a decision, not just that it made one.

This isn't for you if

You need an agent talking to customers around the clock.
The process needs judgment that can't be captured in rules or examples.
The scale is too small for automation to pay off – sometimes doing it by hand a little longer is faster.
You need a one-off data migration, not ongoing automation – that's a separate task.

Timeline

Week 1–2

Process and data analysis

We check what data the automation should work on and where the exceptions live.

Week 3–5

Build and test on a sample

We run it against real, historical cases before a full rollout.

After launch

Rule tuning

The first weeks surface exceptions the project stage couldn't see.

Frequently asked

Guides

Jak zautomatyzować obsługę zapytań ofertowych z formularza za pomocą AI
Krok po kroku: formularz, narzędzie automatyzacji i AI, które przygotowuje szkic odpowiedzi do Twojej akceptacji. Bez wysyłania czegokolwiek bez kontroli.

What you get

A working automation pipeline
Deployed and connected to your systems, not a dry demo.
Logs and a decision trail
You see what the system did and why, instead of a black box.
A confidence threshold
Uncertain cases go to a person instead of being force-guessed.
30 days of tuning after launch
Rule adjustments based on the first weeks of real use, inside the agreed scope.

What we build with

The automation runs on your data and in your infrastructure, not inside a vendor's black box.

Python
n8n / a custom API
language models (Claude, GPT)

Related services

AI assistant development
AI agents handling customers, data, and internal processes around the clock.

Is your team losing hours to repetitive work?

Describe the process – we'll tell you honestly whether automation pays off.

Describe your project